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Oregon State University
1.
NoroozOliaee, MohammadJavad.
Design and Analysis of Distributed Resource Allocation Techniques for Large-Scale Dynamic Spectrum Access Networks.
Degree: PhD, Computer Science, 2015, Oregon State University
URL: http://hdl.handle.net/1957/57115 
► The widespread use of wireless devices that we have recently been witnessing, such as smartphones, tablets, laptops, and wirelessly accessible devices in general, is causing…
(more)
▼ The widespread use of wireless devices that we have recently been witnessing, such as smartphones, tablets, laptops, and wirelessly accessible devices in general, is causing an unprecedented growth in the required amount of the wireless radio
spectrum. On the other hand, the
spectrum resource has, for the last several decades, been allocated to
spectrum users in static manners. These static allocation methods were found to be very inefficient. This inefficient use of the
spectrum resource, coupled with its limited availability nature, has led to a shortage in the
spectrum supply.
Consequently, the concept of
dynamic spectrum access (DSA) has emerged as an alternative allocation approach with great potential for solving this shortage problem. In the DSA context, there are two types of users: primary users (PUs) and secondary users (SUs). While PUs have exclusive
access rights to use their licensed
spectrum bands at all time, SUs are allowed to use these bands only opportunistically. That is, prior to using any licensed band, SUs must first sense the band to make sure that it is vacant. When a PU returns while SUs are using its band, SUs must vacate immediately.
In the first part of this dissertation, we address the problem of resource management in DSA networks. Specifically, we develop resource and service management techniques to support SUs with certain QoS (Quality of Service) requirements in large-scale DSA networks. The proposed techniques empower SUs to seek and exploit
spectrum opportunities dynamically and effectively, thereby maximizing the SUs' long-term received service satisfaction. Our proposed techniques are efficient in terms of optimality, scalability, distributivity, and fairness.
In the second part of this dissertation, we model, characterize, and analyze the key performance metrics of these DSA networks. Specifically, we use a continuous-time Markov process to derive and analyze the forced termination and blocking probabilities of SUs under two realistic limitations. First, we investigate the impact of the channel handoff agility limitation on the performance. Here, due to this agility limitation, which is imposed essentially by hardware restrictions, SUs can only switch to their immediate neighboring channels whenever they have to due to, for e.g., the return of a PU. We show that such a limitation has great impact on the achievable performances of DSA networks. Second, we study the impact of the adjacent channel interference on the performance of DSA schemes, which often rely on the use of guard bands to handle such an interference.
We model and analyze the impact of guard band deployment methods on the performance of DSA schemes.
Our study serves as design guidelines for choosing appropriate guard band deployment methods when designing DSA schemes.
Advisors/Committee Members: Hamdaoui, Bechir (advisor), Bose, Bella (committee member).
Subjects/Keywords: Dynamic Spectrum Access; Resource allocation
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APA (6th Edition):
NoroozOliaee, M. (2015). Design and Analysis of Distributed Resource Allocation Techniques for Large-Scale Dynamic Spectrum Access Networks. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/57115
Chicago Manual of Style (16th Edition):
NoroozOliaee, MohammadJavad. “Design and Analysis of Distributed Resource Allocation Techniques for Large-Scale Dynamic Spectrum Access Networks.” 2015. Doctoral Dissertation, Oregon State University. Accessed January 21, 2021.
http://hdl.handle.net/1957/57115.
MLA Handbook (7th Edition):
NoroozOliaee, MohammadJavad. “Design and Analysis of Distributed Resource Allocation Techniques for Large-Scale Dynamic Spectrum Access Networks.” 2015. Web. 21 Jan 2021.
Vancouver:
NoroozOliaee M. Design and Analysis of Distributed Resource Allocation Techniques for Large-Scale Dynamic Spectrum Access Networks. [Internet] [Doctoral dissertation]. Oregon State University; 2015. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/1957/57115.
Council of Science Editors:
NoroozOliaee M. Design and Analysis of Distributed Resource Allocation Techniques for Large-Scale Dynamic Spectrum Access Networks. [Doctoral Dissertation]. Oregon State University; 2015. Available from: http://hdl.handle.net/1957/57115
Rochester Institute of Technology
2.
Bleier, Dennis P.
Radar-Aware Transmission and Scheduling for Cognitive Radio Dynamic Spectrum Access in the CBRS Radio Band.
Degree: MS, Computer Engineering, 2020, Rochester Institute of Technology
URL: https://scholarworks.rit.edu/theses/10373
► Use of the wireless spectrum is increasing. In order to meet the throughput requirements, Dynamic Spectrum Access is a popular technique to maximize spectrum…
(more)
▼ Use of the wireless
spectrum is increasing. In order to meet the throughput requirements,
Dynamic Spectrum Access is a popular technique to maximize
spectrum usage. This can be applied to the Citizen Broadband Radio Service (3550-3700MHz), a band recently opened by the Federal Communications Commission for opportunistic
access. This radio band can be accessed as long as no higher priority users are interfered with. The top priority users are called incumbents, which are commonly naval radar. Naval radars transmit a focused beam that can be modelled as a periodic function. Lower tier users are prohibited from transmitting when their transmissions coincide and interfere with the radar beam. The second and third tier users are called Priority
Access Licensees and General Authorized
Access, respectively. Lower tier users must account for the transmission outage due to the presence of the radar in their scheduling algorithms. In addition, the scheduling algorithms should take Quality of Service constraints, more specifically delay constraints into account. The contribution of this thesis is the design of a scheduling algorithm for CBRS opportunistic
access in the presence of radar that provides Quality of Service for users, consider different traffic needs.
This was implemented using the ns-3 discrete-event network simulator to simulate an environment with a radar and randomly placed radios using LTE-U to opportunistically transmit data. The proposed algorithm was compared against the Proportional Fair algorithm and a Proportional Fair algorithm with delay awareness. Performance was measured with and without fading models present. The proposed algorithm better balanced Quality of Service requirements and minimized the effect of transmission outage due to presence of the radar.
Advisors/Committee Members: Andres Kwasinski.
Subjects/Keywords: CBRS; Cognitive radio; Dynamic spectrum access
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APA (6th Edition):
Bleier, D. P. (2020). Radar-Aware Transmission and Scheduling for Cognitive Radio Dynamic Spectrum Access in the CBRS Radio Band. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/10373
Chicago Manual of Style (16th Edition):
Bleier, Dennis P. “Radar-Aware Transmission and Scheduling for Cognitive Radio Dynamic Spectrum Access in the CBRS Radio Band.” 2020. Masters Thesis, Rochester Institute of Technology. Accessed January 21, 2021.
https://scholarworks.rit.edu/theses/10373.
MLA Handbook (7th Edition):
Bleier, Dennis P. “Radar-Aware Transmission and Scheduling for Cognitive Radio Dynamic Spectrum Access in the CBRS Radio Band.” 2020. Web. 21 Jan 2021.
Vancouver:
Bleier DP. Radar-Aware Transmission and Scheduling for Cognitive Radio Dynamic Spectrum Access in the CBRS Radio Band. [Internet] [Masters thesis]. Rochester Institute of Technology; 2020. [cited 2021 Jan 21].
Available from: https://scholarworks.rit.edu/theses/10373.
Council of Science Editors:
Bleier DP. Radar-Aware Transmission and Scheduling for Cognitive Radio Dynamic Spectrum Access in the CBRS Radio Band. [Masters Thesis]. Rochester Institute of Technology; 2020. Available from: https://scholarworks.rit.edu/theses/10373
Oregon State University
3.
AlShammari, Tamara.
Malicious-proof and fair credit-based resource allocation techniques for DSA systems.
Degree: MS, Electrical and Computer Engineering, 2014, Oregon State University
URL: http://hdl.handle.net/1957/52294
► In this paper, we propose a credit-based resource allocation technique for dynamic spectrum access (DSA) systems that is robust against malicious and selfi sh behaviors…
(more)
▼ In this paper, we propose a credit-based resource allocation technique for
dynamic spectrum access (DSA) systems that is robust against malicious and selfi sh behaviors and ensures good overall system fairness performance while also allowing
spectrum users to achieve high amounts of service. We also propose a new objective function that, when combined with the proposed credit-based technique, leads to further improvements of the system fairness performance. Our proposed techniques overcome user misbehavior by masking the impact of the users' pursued private objectives on the overall system performance. They also improve fairness among users by allocating service to users adaptively by accounting for how much service each user has received in the past. Our simulation results show that our proposed techniques maintain high system performance by allowing users to achieve high amounts of service and by ensuring fair allocation of
spectrum resources among users even in the presence of misbehaved users. Using simulations, we also show that these high performances are also achievable under various di fferent network scenarios.
Advisors/Committee Members: Hamdaoui, Bechir (advisor), Cheng, Larry (committee member).
Subjects/Keywords: dynamic spectrum access; Wireless communication systems
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APA (6th Edition):
AlShammari, T. (2014). Malicious-proof and fair credit-based resource allocation techniques for DSA systems. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/52294
Chicago Manual of Style (16th Edition):
AlShammari, Tamara. “Malicious-proof and fair credit-based resource allocation techniques for DSA systems.” 2014. Masters Thesis, Oregon State University. Accessed January 21, 2021.
http://hdl.handle.net/1957/52294.
MLA Handbook (7th Edition):
AlShammari, Tamara. “Malicious-proof and fair credit-based resource allocation techniques for DSA systems.” 2014. Web. 21 Jan 2021.
Vancouver:
AlShammari T. Malicious-proof and fair credit-based resource allocation techniques for DSA systems. [Internet] [Masters thesis]. Oregon State University; 2014. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/1957/52294.
Council of Science Editors:
AlShammari T. Malicious-proof and fair credit-based resource allocation techniques for DSA systems. [Masters Thesis]. Oregon State University; 2014. Available from: http://hdl.handle.net/1957/52294
University of Alberta
4.
Jiang, Chunxing.
Design of Asynchronous Cooperative Spectrum Sensing Scheme
and Wideband Dynamic Spectrum Access Algorithm for Cognitive Radio
Networks.
Degree: MS, Department of Electrical and Computer
Engineering, 2013, University of Alberta
URL: https://era.library.ualberta.ca/files/m900nt88m
► Dynamic spectrum access (DSA) is a promising solution for mitigating the problem of crowded radio spectrum and enhancing the utilization efficiency of spectrum resources, making…
(more)
▼ Dynamic spectrum access (DSA) is a promising solution
for mitigating the problem of crowded radio spectrum and enhancing
the utilization efficiency of spectrum resources, making it a hot
research topic. In DSA, spectrum sensing is crucial and cooperative
spectrum sensing (CSS) is confirmed as a promising technology that
can combat the wireless channel fading problem. Most current works
have assumed that secondary users (SUs) are synchronous with the
primary users’ (PUs) network. However, on one hand, the SUs may not
have information about the PUs’ communication protocols. On the
other hand, communications among PUs are not based on synchronous
operation in some systems. In order to address such problems, an
asynchronous CSS scheme is proposed. Based on this scheme, the
DYWAMIT, a contention-based wideband DSA algorithm, is proposed.
Performance analysis and simulations are conducted to evaluate the
proposed scheme and algorithm. Some important future research
challenges are highlighted.
Subjects/Keywords: Cognitive Radio; Dynamic Spectrum Access; Cooperative Spectrum Sensing; Asynchronous
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APA (6th Edition):
Jiang, C. (2013). Design of Asynchronous Cooperative Spectrum Sensing Scheme
and Wideband Dynamic Spectrum Access Algorithm for Cognitive Radio
Networks. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/m900nt88m
Chicago Manual of Style (16th Edition):
Jiang, Chunxing. “Design of Asynchronous Cooperative Spectrum Sensing Scheme
and Wideband Dynamic Spectrum Access Algorithm for Cognitive Radio
Networks.” 2013. Masters Thesis, University of Alberta. Accessed January 21, 2021.
https://era.library.ualberta.ca/files/m900nt88m.
MLA Handbook (7th Edition):
Jiang, Chunxing. “Design of Asynchronous Cooperative Spectrum Sensing Scheme
and Wideband Dynamic Spectrum Access Algorithm for Cognitive Radio
Networks.” 2013. Web. 21 Jan 2021.
Vancouver:
Jiang C. Design of Asynchronous Cooperative Spectrum Sensing Scheme
and Wideband Dynamic Spectrum Access Algorithm for Cognitive Radio
Networks. [Internet] [Masters thesis]. University of Alberta; 2013. [cited 2021 Jan 21].
Available from: https://era.library.ualberta.ca/files/m900nt88m.
Council of Science Editors:
Jiang C. Design of Asynchronous Cooperative Spectrum Sensing Scheme
and Wideband Dynamic Spectrum Access Algorithm for Cognitive Radio
Networks. [Masters Thesis]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/m900nt88m
University of Manitoba
5.
Changyan, Yi.
Auction-based Spectrum Sharing in Multi-Channel Cognitive Radio Networks with Heterogeneous Users.
Degree: Electrical and Computer Engineering, 2014, University of Manitoba
URL: http://hdl.handle.net/1993/23943
► Dynamic spectrum access based on cognitive radio has been regarded as a prospective solution to improve spectrum utilization for wireless communications. By considering the allocation…
(more)
▼ Dynamic spectrum access based on cognitive radio has been regarded as a prospective
solution to improve
spectrum utilization for wireless communications. By considering
the allocation efficiency, fairness, and economic incentives,
spectrum marketing has been
attracting more and more attentions in recent years. In this thesis, we focus on one of
the most effective
spectrum marketing methods, i.e., auction approach, in multi-channel
cognitive radio networks. After presenting some fundamentals and related works, we
begin our discussion in a recall-based auction system where buyers have various service
requirements and the seller could recall some sold items after the auction to deal with
a sudden increase of its own demand. Both single-winner and multi-winner auctions
are designed and analyzed. In addition, we also consider the heterogeneity of radio
resource sellers and formulate a framework of combinatorial
spectrum auction. With
theoretical analyses and simulation results, we show that our proposed algorithms can
improve
spectrum utilization while satisfy the heterogeneous requirements of different
wireless users.
Advisors/Committee Members: Cai, Jun (Electrical and Computer Engineering) (supervisor), Alfa, Attahiru S. (Electrical and Computer Engineering) Peng, Qingjin (Mechanical Engineering) (examiningcommittee).
Subjects/Keywords: Cognitive radio networks; Spectrum auction; Dynamic spectrum access; Quality of service
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APA ·
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APA (6th Edition):
Changyan, Y. (2014). Auction-based Spectrum Sharing in Multi-Channel Cognitive Radio Networks with Heterogeneous Users. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/23943
Chicago Manual of Style (16th Edition):
Changyan, Yi. “Auction-based Spectrum Sharing in Multi-Channel Cognitive Radio Networks with Heterogeneous Users.” 2014. Masters Thesis, University of Manitoba. Accessed January 21, 2021.
http://hdl.handle.net/1993/23943.
MLA Handbook (7th Edition):
Changyan, Yi. “Auction-based Spectrum Sharing in Multi-Channel Cognitive Radio Networks with Heterogeneous Users.” 2014. Web. 21 Jan 2021.
Vancouver:
Changyan Y. Auction-based Spectrum Sharing in Multi-Channel Cognitive Radio Networks with Heterogeneous Users. [Internet] [Masters thesis]. University of Manitoba; 2014. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/1993/23943.
Council of Science Editors:
Changyan Y. Auction-based Spectrum Sharing in Multi-Channel Cognitive Radio Networks with Heterogeneous Users. [Masters Thesis]. University of Manitoba; 2014. Available from: http://hdl.handle.net/1993/23943
University of Waterloo
6.
Zhang, Ning.
Security-aware Cooperation in Dynamic Spectrum Access.
Degree: 2015, University of Waterloo
URL: http://hdl.handle.net/10012/9224
► We have witnessed a massive growth in wireless data, which almost doubles every year. The wireless data is expected to skyrocket further in the future…
(more)
▼ We have witnessed a massive growth in wireless data, which almost doubles every year. The wireless data is expected to skyrocket further in the future due to the proliferation of devices and the emerging data-hungry applications. To accommodate the explosive growth in mobile traffic, a large amount of wireless spectrum is needed. With the limited spectrum resource, the current static spectrum allocation policy cannot serve well for future wireless systems. Moreover, it exacerbates the spectrum scarcity by resulting in severe spectrum underutilization. As a promising solution, dynamic spectrum access (DSA) is envisaged to increase spectrum efficiency by dynamic sharing all the spectrum. DSA can be enabled by cognitive radio technologies, which allow the unlicensed users (the secondary users, i.e., SUs) to dynamically access the unused spectrum (i.e., spectrum holes) owned by the licensed users (the primary users i.e., PUs). In order to identify the unused spectrum (spectrum holes), unlicensed users need to conduct spectrum sensing. While spectrum sensing might be inaccurate due to multipath fading and shadowing. To address this problem, user cooperation can be leveraged, with two main forms: cooperative spectrum sensing and cooperative cognitive radio networking (CCRN). For the former, SUs cooperate with each other in spectrum sensing to better detect the spectrum holes. For the latter, SUs cooperate with the PUs to gain access opportunities from the PUs by improving the transmission performance of the PUs.
Whereas cooperation can also incur security issues, e.g., malicious users might participate into cooperation, corrupting or disrupting the communication of legitimate users, selfish users might refuse to contribute to cooperation for self-interests, etc. Those security issues are of great importance and need to be considered for cooperation in DSA. In this thesis, we study security-aware cooperation in DSA. First, we investigate cooperative spectrum sensing in multi-channel scenario such that a user can be scheduled for spectrum sensing and spectrum sharing. The cooperative framework can achieve a higher average throughput per user, which provides the incentive for selfish users to participate in cooperative spectrum sensing. Second, secure communication in CCRN is studied, where the SUs cooperate with the PU to enhance the latter’s communication security and then gain transmission opportunities. Partner selection, spectrum access time allocation, and power allocation are investigated. Third, we study risk aware cooperation based DSA for the multiple channel scenario, where multiple SUs cooperate with multiple PUs for spectrum access opportunities, considering the trustworthiness of SUs. Lastly, we propose an incentive mechanism to stimulate SUs to cooperate with PUs when they have no traffic. The cooperating SUs are motivated to cooperate with PUs to enhance the security of the PUs by accumulating credits and then consume the earned credits for spectrum trading when they have traffic in the future.
Subjects/Keywords: Dynamic spectrum access; cognitive radio; spectrum sensing; cooperative communication
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APA (6th Edition):
Zhang, N. (2015). Security-aware Cooperation in Dynamic Spectrum Access. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/9224
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Zhang, Ning. “Security-aware Cooperation in Dynamic Spectrum Access.” 2015. Thesis, University of Waterloo. Accessed January 21, 2021.
http://hdl.handle.net/10012/9224.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Zhang, Ning. “Security-aware Cooperation in Dynamic Spectrum Access.” 2015. Web. 21 Jan 2021.
Vancouver:
Zhang N. Security-aware Cooperation in Dynamic Spectrum Access. [Internet] [Thesis]. University of Waterloo; 2015. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/10012/9224.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Zhang N. Security-aware Cooperation in Dynamic Spectrum Access. [Thesis]. University of Waterloo; 2015. Available from: http://hdl.handle.net/10012/9224
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Waterloo
7.
Qaimkhani, Irshad Ali.
Improving Frequency Reuse and Cochannel Interference Coordination in 4G HetNets.
Degree: 2013, University of Waterloo
URL: http://hdl.handle.net/10012/7807
► This report describes my M.A.Sc. thesis research work. The emerging 4th generation (4G) mobile systems and networks (so called 4G HetNets) are designed as multilayered…
(more)
▼ This report describes my M.A.Sc. thesis research work. The emerging 4th generation
(4G) mobile systems and networks (so called 4G HetNets) are designed as multilayered cellular topology with a number of asymmetrically located, asymmetrically powered, self-organizing, and user-operated indoor small cell (e.g., pico/femto cells and WLANs) with a variety of cell architectures that are overlaid by a large cell (macro cell) with some or all interfering wireless links. These designs of 4G HetNets bring new challenges such as increased dynamics of user mobility and data traffic trespassing over the multi-layered cell boundaries. Traditional approaches of radio resource allocation and inter-cell (cochannel) interference management that are mostly centralized and static in the network core and are carried out pre-hand by the operator in 3G and lower cellular technologies, are liable to increased signaling overhead, latencies, complexities, and scalability issues and, thus, are not viable in case of 4G HetNets. In this thesis a comprehensive research study is carried out on improving the radio resource sharing and inter-cell interference management in 4G HetNets. The solution strategy exploits dynamic and adaptive channel allocation approaches such as dynamic and opportunistic spectrum access (DSA, OSA) techniques, through exploiting the spatiotemporal diversities among transmissions in orthogonal frequency division multiple access (OFDMA) based medium access in 4G HetNets.
In this regards, a novel framework named as Hybrid Radio Resource Sharing (HRRS) is introduced. HRRS comprises of these two functional modules: Cognitive Radio Resource Sharing (CRRS) and Proactive Link Adaptation (PLA) scheme. A dynamic switching algorithm enables CRRS and PLA modules to adaptively invoke according to whether orthogonal channelization is to be carried out exploiting the interweave channel allocation (ICA) approach or non-orthogonal channelization is to be carried out exploiting the underlay channel allocation (UCA) approach respectively when relevant conditions regarding the traffic demand and radio resource availability are met. Benefits of CRRS scheme are identified through simulative analysis in comparison to the legacy cochannel and dedicated channel deployments of femto cells respectively. The case study and numerical analysis for PLA scheme is carried out to understand the dynamics of threshold interference ranges as function of transmit powers of MBS and FBS, relative ranges of radio entities, and QoS requirement of services with the value realization of PLA scheme.
Subjects/Keywords: Radio resource sharing; Interference coordination; OFDMA; 4G HetNets; Dynamic spectrum access; Opportunistic spectrum access
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APA ·
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Manager
APA (6th Edition):
Qaimkhani, I. A. (2013). Improving Frequency Reuse and Cochannel Interference Coordination in 4G HetNets. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/7807
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Qaimkhani, Irshad Ali. “Improving Frequency Reuse and Cochannel Interference Coordination in 4G HetNets.” 2013. Thesis, University of Waterloo. Accessed January 21, 2021.
http://hdl.handle.net/10012/7807.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Qaimkhani, Irshad Ali. “Improving Frequency Reuse and Cochannel Interference Coordination in 4G HetNets.” 2013. Web. 21 Jan 2021.
Vancouver:
Qaimkhani IA. Improving Frequency Reuse and Cochannel Interference Coordination in 4G HetNets. [Internet] [Thesis]. University of Waterloo; 2013. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/10012/7807.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Qaimkhani IA. Improving Frequency Reuse and Cochannel Interference Coordination in 4G HetNets. [Thesis]. University of Waterloo; 2013. Available from: http://hdl.handle.net/10012/7807
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Virginia Tech
8.
Sohul, Munawwar Mahmud.
Spectrum Opportunity Duration Assurance: A Primary-Secondary Cooperation Approach for Spectrum Sharing Systems.
Degree: PhD, Electrical Engineering, 2017, Virginia Tech
URL: http://hdl.handle.net/10919/88018
► The radio spectrum dependent applications are facing a huge scarcity of the resource. To address this issue, future wireless systems require new wireless network architectures…
(more)
▼ The radio
spectrum dependent applications are facing a huge scarcity of the resource. To address this issue, future wireless systems require new wireless network architectures and new approaches to
spectrum management.
Spectrum sharing has emerged as a promising solution to address the radio frequency (RF)
spectrum bottleneck. Although
spectrum sharing is intended to provide flexible use of the
spectrum, the architecture of the existing approaches, such as TV White Space [1] and Citizen Broadband Radio Services (CBRS) [2], have a relatively fixed sharing framework. This fixed structure limits the applicability of the architecture to other bands where the relationship between various new users and different types of legacy users co-exist. Specifically, an important aspect of sharing that has not been explored enough is the cooperation between the resource owner and the opportunistic user. Also in a shared
spectrum system, the users do not have any information about the availability and duration of the available
spectrum opportunities. This lack of understanding about the shared
spectrum leads the research community to explore a number of core
spectrum sharing tasks, such as opportunity detection,
dynamic opportunity scheduling, and interference protection for the primary users, etc. This report proposes a Primary-Secondary Cooperation Framework to provide flexibility to all the involved parties in terms of choosing the level of cooperation that allow them to satisfy different objective priorities. The cooperation framework allows exchange of a probabilistic assurance:
Spectrum Opportunity Duration Assurance (SODA) between the primary and secondary operations to improve the overall
spectrum sharing experience for both the parties. This capability will give the
spectrum sharing architectures new flexibility to handle evolutions in technologies, regulations, and the requirements of new bands being transitioned from fixed to share usage.
In this dissertation we first look into the regulatory aspect of
spectrum sharing. We analyze the Federal Communications Commission's (FCC) initiatives with regards to the commercial use of the 150 MHz
spectrum block in the 3.5 GHz band. This analysis results into a
Spectrum Access System (SAS) architecture and list of required functionalities. Then we address the nature of primary-secondary cooperation in
spectrum sharing and propose to generate probabilistic assurances for
spectrum opportunities. We use the generated assurance to observe the impact of cooperation from the perspective of
spectrum sharing system management. We propose to incorporate primary user cooperation in the auctioning and resource allocation procedures to manage
spectrum opportunities. We also analyze the improvement in
spectrum sharing experience from the perspective of the primary and secondary users as a result of cooperation. We propose interference avoidance schemes that involve cooperation to improve the achievable quality of service.
Primary-secondary cooperation has the potential to significantly…
Advisors/Committee Members: Reed, Jeffrey H. (committeechair), Rahman, Saifur (committee member), Roan, Michael J. (committee member), MacKenzie, Allen B. (committee member), Clancy, Thomas Charles (committee member).
Subjects/Keywords: Spectrum sharing; Dynamic spectrum access; Spectrum Access System (SAS); Primary-Secondary cooperation; Spectrum opportunity duration assurance (SODA)
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APA (6th Edition):
Sohul, M. M. (2017). Spectrum Opportunity Duration Assurance: A Primary-Secondary Cooperation Approach for Spectrum Sharing Systems. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/88018
Chicago Manual of Style (16th Edition):
Sohul, Munawwar Mahmud. “Spectrum Opportunity Duration Assurance: A Primary-Secondary Cooperation Approach for Spectrum Sharing Systems.” 2017. Doctoral Dissertation, Virginia Tech. Accessed January 21, 2021.
http://hdl.handle.net/10919/88018.
MLA Handbook (7th Edition):
Sohul, Munawwar Mahmud. “Spectrum Opportunity Duration Assurance: A Primary-Secondary Cooperation Approach for Spectrum Sharing Systems.” 2017. Web. 21 Jan 2021.
Vancouver:
Sohul MM. Spectrum Opportunity Duration Assurance: A Primary-Secondary Cooperation Approach for Spectrum Sharing Systems. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/10919/88018.
Council of Science Editors:
Sohul MM. Spectrum Opportunity Duration Assurance: A Primary-Secondary Cooperation Approach for Spectrum Sharing Systems. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/88018
Virginia Tech
9.
Bhattarai, Sudeep.
Spectrum Efficiency and Security in Dynamic Spectrum Sharing.
Degree: PhD, Electrical Engineering, 2018, Virginia Tech
URL: http://hdl.handle.net/10919/82872
► We are in the midst of a major paradigm shift in how we manage the radio spectrum. This paradigm shift in spectrum management from exclusive…
(more)
▼ We are in the midst of a major paradigm shift in how we manage the radio
spectrum. This paradigm shift in
spectrum management from exclusive
access to shared
access is necessitated by the growth of wireless services and the demand pressure imposed on limited
spectrum resources under legacy management regimes. The primary constraint in any
spectrum sharing regime is that the incumbent users (IUs) of the
spectrum need to be protected from harmful interference caused due to transmissions from secondary users (SUs). Unfortunately, legacy techniques rely on inadequately flexible and overly conservative methods for prescribing interference protection that result in inefficient utilization of the shared
spectrum.
In this dissertation, we first propose an analytical approach for characterizing the aggregate interference experienced by the IU when it shares the
spectrum with multiple SUs. Proper characterization of aggregate interference helps in defining incumbent protection boundaries, a.k.a. Exclusion Zones (EZs), that are neither overly aggressive to endanger the IU protection requirement, nor overly conservative to limit
spectrum utilization efficiency. In particular, our proposed approach addresses the two main limitations of existing methods that use terrain based propagation models for estimating the aggregate interference. First, terrain-based propagation models are computationally intensive and data-hungry making them unsuitable for large real-time
spectrum sharing applications such as the
spectrum access system (SAS). Second, terrain based propagation models require accurate geo-locations of SUs which might not always be available, such as when SUs are mobile, or when their locations are obfuscated for location privacy concerns.
Our second contribution in this dissertation is the novel concept of Multi-tiered Incumbent Protection Zones (MIPZ) that can be used to prescribe interference protection to the IUs. Based on the aforementioned analytical tool for characterizing the aggregate interference, we facilitate a framework that can be used to replace the legacy notion of static and overly conservative EZs with multi-tiered
dynamic EZs. MIPZ is fundamentally different from legacy EZs in that it dynamically adjusts the IU's protection boundary based on the radio environment, network dynamics, and the IU interference protection requirement. Our extensive simulation results show that MIPZ can be used to improve the overall
spectrum utilization while ensuring sufficient protection to the IUs.
As our third contribution, we investigate the operational security (OPSEC) issue raised by the emergence of new
spectrum access technologies and
spectrum utilization paradigms. For instance, although the use of geolocation databases (GDB) is a practical approach for enabling efficient
spectrum sharing, it raises a potentially serious OPSEC problem, especially when some of the IUs are federal government entities, including military users. We show that malicious queriers can readily infer the locations of the IUs even if the…
Advisors/Committee Members: Park, Jung-Min Jerry (committeechair), Yang, Yaling (committee member), Yao, Danfeng (committee member), Abbott, Amos L. (committee member), Dietrich, Carl B. (committee member).
Subjects/Keywords: Dynamic spectrum access; aggregate interference; dynamic exclusion zones; spectrum efficiency; 802.11ax; operational security
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APA (6th Edition):
Bhattarai, S. (2018). Spectrum Efficiency and Security in Dynamic Spectrum Sharing. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/82872
Chicago Manual of Style (16th Edition):
Bhattarai, Sudeep. “Spectrum Efficiency and Security in Dynamic Spectrum Sharing.” 2018. Doctoral Dissertation, Virginia Tech. Accessed January 21, 2021.
http://hdl.handle.net/10919/82872.
MLA Handbook (7th Edition):
Bhattarai, Sudeep. “Spectrum Efficiency and Security in Dynamic Spectrum Sharing.” 2018. Web. 21 Jan 2021.
Vancouver:
Bhattarai S. Spectrum Efficiency and Security in Dynamic Spectrum Sharing. [Internet] [Doctoral dissertation]. Virginia Tech; 2018. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/10919/82872.
Council of Science Editors:
Bhattarai S. Spectrum Efficiency and Security in Dynamic Spectrum Sharing. [Doctoral Dissertation]. Virginia Tech; 2018. Available from: http://hdl.handle.net/10919/82872
Virginia Tech
10.
Ye, Yuxian.
Study of Sensing Issues in Dynamic Spectrum Access.
Degree: MS, Computer Engineering, 2019, Virginia Tech
URL: http://hdl.handle.net/10919/90184
► Spectrum relates to the radio frequencies allocated to the federal users and commercial users for communication over the airwaves. It is a sovereign asset that…
(more)
▼ Spectrum relates to the radio frequencies allocated to the federal users and commercial users for communication over the airwaves. It is a sovereign asset that is overseen by the government in each country to manage the radio
spectrum and issue
spectrum licenses. In addition,
spectrum bands are utilized for various purposes because different bands have different characteristics. However, the overly crowded US frequency allocation chart shows the scarcity of usable radio frequencies. The actual
spectrum usage measurements reflect that multiple prized
spectrum bands lay idle at most time and location, which indicates that the
spectrum shortage is caused by the
spectrum management policies rather than the physical scarcity of available frequencies.
Dynamic spectrum access (DSA) was proposed as a new paradigm of
spectrum sharing that allows commercial users to
access the abundant white spaces in the licensed
spectrum bands to mitigate the
spectrum shortage problem and increase
spectrum utilization. In DSA, two of the key technical challenges lie in how to dynamically allocate the
spectrum and how to protect
spectrum users’ security. This thesis focuses on the development of two types of mechanisms for addressing the above two challenges: (1) developing efficient
spectrum monitoring schemes to help secondary users (SU) to accurately and dynamically
access the white space in
spectrum allocation and (2) developing privacy preservation schemes for incumbent users (IU) to protect their location privacy. Specifically, we proposed an unknown IU pattern monitoring scheme that leverages the power of masses of portable mobile devices to reduce the cost of common
spectrum monitoring systems. We demonstrate that our system can track not only the existing IU
spectrum access patterns but also the unknown patterns where no historical
spectrum information exists. We then leverage the solar energy harvesting and design energy management scheme to support our
spectrum monitoring system. Finally, we provide a strategy for both static and mobile IUs to hide their true location under the monitoring of Environmental Sensing Capabilities systems.
Advisors/Committee Members: Yang, Yaling (committeechair), Hou, Yiwei Thomas (committee member), Abbott, Amos L. (committee member).
Subjects/Keywords: Dynamic Spectrum Access; Spectrum monitoring; Energy harvesting; Energy management; Spectrum users' location privacy preserving
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APA ·
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Manager
APA (6th Edition):
Ye, Y. (2019). Study of Sensing Issues in Dynamic Spectrum Access. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/90184
Chicago Manual of Style (16th Edition):
Ye, Yuxian. “Study of Sensing Issues in Dynamic Spectrum Access.” 2019. Masters Thesis, Virginia Tech. Accessed January 21, 2021.
http://hdl.handle.net/10919/90184.
MLA Handbook (7th Edition):
Ye, Yuxian. “Study of Sensing Issues in Dynamic Spectrum Access.” 2019. Web. 21 Jan 2021.
Vancouver:
Ye Y. Study of Sensing Issues in Dynamic Spectrum Access. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/10919/90184.
Council of Science Editors:
Ye Y. Study of Sensing Issues in Dynamic Spectrum Access. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/90184
11.
Jafri, Ghayoor Abbas; Rehman, Ateeq Ur.
Spectrum Sensing and Management in Cooperative Cognitive Radio.
Degree: 2011, , School of Engineering
URL: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3245
► In the last few years, there has been enormous improvement in mobile communication services. Due to this rapid growth in the field of communications,…
(more)
▼ In the last few years, there has been enormous improvement in mobile communication services. Due to this rapid growth in the field of communications, the demand for wireless spectrum has increased rapidly. In the early days in order to remove the interference problem, the spectrum was assigned statically. To assign the spectrum statically, the fixed spectrum assignment policy was used. Due to the fixed spectrum assignment policy, the spectrum was not efficiently utilized and remained vacant most of the time. The study by Federal Communications Commission (FCC) shows that the spectrum is available but its usage is not efficient. Such kind of spectrum inefficiency can be overcome by the use of Cognitive Radio. Cognitive Radio is a new technology that allows the secondary users (SUs) to use the spectrum whenever it is available. In this thesis, an Opportunistic Cognitive MAC Protocol (OC-MAC) has been proposed for the Cognitive Radio to access the unoccupied spectrum opportunistically and coexistence with the ad hoc Wireless Local Area Network (WLAN). OC-MAC is a decentralized MAC protocol over Cognitive Radio network along with WLAN. In the OC-MAC protocol, there is a dedicated control channel over which the cognitive nodes compete with each other for the reservation of the data channel. The handshaking phenomenon for the reservation of data channels is performed on the control channel. After a selection of the appropriate data channel, when a secondary user starts using the data channel and the primary user claims it, the SU leaves the spectrum and moves to another available channel. The transmission of data by the secondary user is confirmed by receiving an acknowledgement. In this way secondary user utilizes the unused frequency spectrum while maintaining acceptable collision rate among secondary users and between secondary users and primary users. All simulation scenarios are developed in OPNET v14.5 Network simulator and simulation results are collected for different scenarios; under light and heavy traffic to check the performance of the OC-MAC protocol.
+46 760 653865
Subjects/Keywords: Cognitive radio networks; Cooperative communication; Dynamic spectrum sharing; Cross layer design; OC-MAC Protocol; Opportunistic spectrum access; Spectrum sensing; Spectrum management
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APA (6th Edition):
Jafri, Ghayoor Abbas; Rehman, A. U. (2011). Spectrum Sensing and Management in Cooperative Cognitive Radio. (Thesis). , School of Engineering. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3245
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Jafri, Ghayoor Abbas; Rehman, Ateeq Ur. “Spectrum Sensing and Management in Cooperative Cognitive Radio.” 2011. Thesis, , School of Engineering. Accessed January 21, 2021.
http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3245.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Jafri, Ghayoor Abbas; Rehman, Ateeq Ur. “Spectrum Sensing and Management in Cooperative Cognitive Radio.” 2011. Web. 21 Jan 2021.
Vancouver:
Jafri, Ghayoor Abbas; Rehman AU. Spectrum Sensing and Management in Cooperative Cognitive Radio. [Internet] [Thesis]. , School of Engineering; 2011. [cited 2021 Jan 21].
Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3245.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Jafri, Ghayoor Abbas; Rehman AU. Spectrum Sensing and Management in Cooperative Cognitive Radio. [Thesis]. , School of Engineering; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3245
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Notre Dame
12.
Zhanwei Sun.
Performance Metrics, Sampling Schemes, and Detection
Algorithms for Wideband Spectrum Sensing</h1>.
Degree: Electrical Engineering, 2013, University of Notre Dame
URL: https://curate.nd.edu/show/td96k071s1s
► This dissertation studies the problem of wideband spectrum sensing for cognitive radio by partitioning into four fundamental elements: system modeling, performance metrics, sampling schemes,…
(more)
▼ This dissertation studies the problem of
wideband
spectrum sensing for cognitive radio by partitioning into
four fundamental elements: system modeling, performance metrics,
sampling schemes, and detection algorithms. Each element can
potentially couple individual channels, and appropriate designs of
wideband
spectrum sensing should consider the four elements
jointly. We propose a p-sparse model to
characterize the primary occupancy in a band of channels as a
Bernoulli process, and suggest a pair of new performance metrics
more appropriate for wideband
spectrum sensing, specifically, the
probability of insufficient
spectrum opportunities PISO and the
probability of excessive interference opportunities PEIO. We
suggest two narrower band Nyquist sampling schemes with
correspondingly much lower rates than wideband Nyquist rate, i.e.,
partial-band Nyquist sampling (PBNS) and sequential narrow band
Nyquist sampling (SNNS), and establish a unified sub-Nyquist
sampling structure, within which we study several important
sub-Nyquist sampling schemes in literature. We investigate the
aliasing patterns inherent in sub-Nyquist sampling and identify two
extremes, specifically, uniform aliasing and periodic aliasing, and
develop corresponding detection algorithms that allow tradeoffs
between primary protection and secondary opportunities relevant to
the goal of channel detection characterized Pm, the probability of
missed detection, and Pf, the probability of false alarm, as well
as the goal of wideband detection characterized by PISO and
PEIO. For performance metrics that couple
individual channels, multi-channel detection algorithms have an
advantage over channel-by-channel detection algorithms even for
Nyquist sampling that give independent observations across
channels. Most importantly, integer undersampling (IU), which
corresponds to the simplest sub-Nyquist sampling scheme, exhibits
the best observed sensing performance in the regime of better
protection for the primary system, i.e., the regime of low PM and
high PF, or the regime of low PEIO and high PISO, for moderate and
high signal-to-noise ratio (SNR ≥ 0 dB); on the other hand, SNNS
exhibits globally best performance for low SNR (< 0 dB) for
the cases studied. These observations discourage studies on the
design of more sophisticated sub-Nyquist sampling schemes and
development of more advanced sparse reconstruction algorithms to
the problem of wideband
spectrum sensing, since their performance
is inferior to either IU or SNNS depending on the system parameters
and the detection regime considered.
Advisors/Committee Members: Yih-Fang Huang, Committee Member, J. Nicholas Laneman, Committee Chair, Thomas Fuja, Committee Member, Martin Haenggi, Committee Member.
Subjects/Keywords: sub-Nyquist sampling; wideband spectrum sensing; dynamic spectrum access; compressed sensing; cognitive radio
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Manager
APA (6th Edition):
Sun, Z. (2013). Performance Metrics, Sampling Schemes, and Detection
Algorithms for Wideband Spectrum Sensing</h1>. (Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/td96k071s1s
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Sun, Zhanwei. “Performance Metrics, Sampling Schemes, and Detection
Algorithms for Wideband Spectrum Sensing</h1>.” 2013. Thesis, University of Notre Dame. Accessed January 21, 2021.
https://curate.nd.edu/show/td96k071s1s.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Sun, Zhanwei. “Performance Metrics, Sampling Schemes, and Detection
Algorithms for Wideband Spectrum Sensing</h1>.” 2013. Web. 21 Jan 2021.
Vancouver:
Sun Z. Performance Metrics, Sampling Schemes, and Detection
Algorithms for Wideband Spectrum Sensing</h1>. [Internet] [Thesis]. University of Notre Dame; 2013. [cited 2021 Jan 21].
Available from: https://curate.nd.edu/show/td96k071s1s.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Sun Z. Performance Metrics, Sampling Schemes, and Detection
Algorithms for Wideband Spectrum Sensing</h1>. [Thesis]. University of Notre Dame; 2013. Available from: https://curate.nd.edu/show/td96k071s1s
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
13.
Corral-De-Witt, Danilo Roberto.
Spectrum Occupancy Estimation and Analysis.
Degree: PhD, Electrical and Computer Engineering, 2019, University of Windsor
URL: https://scholar.uwindsor.ca/etd/7803
► The goal of Cognitive Radio (CR) is to facilitate efficient utilization of the electromagnetic spectrum. CR applies spectrum sensing techniques to detect unused channels and…
(more)
▼ The goal of Cognitive Radio (CR) is to facilitate efficient utilization of the electromagnetic
spectrum. CR applies
spectrum sensing techniques to detect unused channels and then allows opportunistic usage of such channels by secondary users, i.e., un-licensed users, without interfering with primary users, i.e., licensed users. In order to implement a complete TV White Spaces (TVWS) based CR system, at first a model is needed that can be used for identifying TVWS, which can then be exploited for
dynamic spectrum access. This work is focused on proposing a sensing method and building a probabilistic model for identifying the occupancy of the electromagnetic
spectrum within the UHF TV bands. It also develops a hardware prototype for demonstrating the performance of the proposed technique. It proposes simultaneous sensing both noise and noise-contaminated user's signal (composite signal) for detecting
spectrum occupancy minimizing errors. The proposed sensing technique combines energy detection, pilot detection, and information obtained from an external source in order to reduce missed-detection probability. In addition to pre-defined threshold levels, the proposed probabilistic model considers parameters like probability of false alarm and probability of detection for measuring detection accuracy. Finally, a mobile sensing station is designed and implemented using off-the-shelf components to verify the developed technique for TVWS
spectrum sensing. Using this mobile station, the UHF TV channels within the
spectrum band of 500MHz-698MHz (Channel19 to Channel 51) are scanned. Covering the total bandwidth of 198MHz, over 8 million data samples are collected through repeated scanning, ensuring possible spatio-temporal variations are taken into account. Results show that the availability of TVWS changes quite significantly with spatial variations. But, even in the most crowded
spectrum locations, 28% of UHF channels were identified as TVWS. The model demonstrates about 10% improvement in detecting accuracy compared to other existing models.
Advisors/Committee Members: Tepe, K..
Subjects/Keywords: Detection Probability; Dynamic Spectrum Access; False Alarm Probability; Smart Spectrum Sharing; TVWS
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APA (6th Edition):
Corral-De-Witt, D. R. (2019). Spectrum Occupancy Estimation and Analysis. (Doctoral Dissertation). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/7803
Chicago Manual of Style (16th Edition):
Corral-De-Witt, Danilo Roberto. “Spectrum Occupancy Estimation and Analysis.” 2019. Doctoral Dissertation, University of Windsor. Accessed January 21, 2021.
https://scholar.uwindsor.ca/etd/7803.
MLA Handbook (7th Edition):
Corral-De-Witt, Danilo Roberto. “Spectrum Occupancy Estimation and Analysis.” 2019. Web. 21 Jan 2021.
Vancouver:
Corral-De-Witt DR. Spectrum Occupancy Estimation and Analysis. [Internet] [Doctoral dissertation]. University of Windsor; 2019. [cited 2021 Jan 21].
Available from: https://scholar.uwindsor.ca/etd/7803.
Council of Science Editors:
Corral-De-Witt DR. Spectrum Occupancy Estimation and Analysis. [Doctoral Dissertation]. University of Windsor; 2019. Available from: https://scholar.uwindsor.ca/etd/7803
Virginia Tech
14.
Song, Hao.
Spectrum Management in Dynamic Spectrum Access: A Deep Reinforcement Learning Approach.
Degree: MS, Electrical Engineering, 2019, Virginia Tech
URL: http://hdl.handle.net/10919/95953
► Generally, in dynamic spectrum access (DSA) networks, co-operations and centralized control are unavailable and DSA users have to carry out wireless transmissions individually. DSA users…
(more)
▼ Generally, in
dynamic spectrum access (DSA) networks, co-operations and centralized control are unavailable and DSA users have to carry out wireless transmissions individually. DSA users have to know other users’ behaviors by sensing and analyzing wireless environments, so that DSA users can adjust their parameters properly and carry out effective wireless transmissions. In this thesis, machine learning and deep learning technologies are leveraged in DSA network to enable appropriate and intelligent
spectrum managements, including both
spectrum access and power allocations. Accordingly, a novel
spectrum management framework utilizing deep reinforcement learning is proposed, in which deep reinforcement learning is employed to accurately learn wireless environments and generate optimal
spectrum management strategies to adapt to the variations of wireless environments. Due to the model-free nature of reinforcement learning, DSA users only need to directly interact with environments to obtain optimal strategies rather than relying on accurate channel estimations. In this thesis, Q-learning, a type of reinforcement learning, is adopted to design the
spectrum management framework. For more efficient and accurate learning, powerful neural
networks (NN) is employed to combine Q-learning and deep learning, also referred to as deep Q-network (DQN). The selection of NNs is crucial for the performance of DQN, since different types of NNs possess various properties and are applicable for different application scenarios. Therefore, in this thesis, the optimal way to construct DQN is also analyzed and studied. Finally, the extensive simulation studies demonstrate that the proposed
spectrum management framework could enable users to perform proper
spectrum managements and achieve better performance.
Advisors/Committee Members: Liu, Lingjia (committeechair), Dhillon, Harpreet S. (committee member), Yang, Yaling (committee member).
Subjects/Keywords: Dynamic spectrum access; spectrum management; reinforcement learning; deep Q-network; echo state networks.
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APA (6th Edition):
Song, H. (2019). Spectrum Management in Dynamic Spectrum Access: A Deep Reinforcement Learning Approach. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/95953
Chicago Manual of Style (16th Edition):
Song, Hao. “Spectrum Management in Dynamic Spectrum Access: A Deep Reinforcement Learning Approach.” 2019. Masters Thesis, Virginia Tech. Accessed January 21, 2021.
http://hdl.handle.net/10919/95953.
MLA Handbook (7th Edition):
Song, Hao. “Spectrum Management in Dynamic Spectrum Access: A Deep Reinforcement Learning Approach.” 2019. Web. 21 Jan 2021.
Vancouver:
Song H. Spectrum Management in Dynamic Spectrum Access: A Deep Reinforcement Learning Approach. [Internet] [Masters thesis]. Virginia Tech; 2019. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/10919/95953.
Council of Science Editors:
Song H. Spectrum Management in Dynamic Spectrum Access: A Deep Reinforcement Learning Approach. [Masters Thesis]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/95953
RMIT University
15.
Arafat, A.
Radio access for LTE-advanced femtocells.
Degree: 2019, RMIT University
URL: http://researchbank.rmit.edu.au/view/rmit:162812
► The evolution of wireless communication technology has entered a new era where the vision of vendors and researchers to move beyond connecting people to connecting…
(more)
▼ The evolution of wireless communication technology has entered a new era where the vision of vendors and researchers to move beyond connecting people to connecting everything is becoming reality. Pioneers have been working for decades to enhance the network coverage and capacity to cope with the ever-increasing demand by wireless users. Challenges remain and the race to better utilise the radio spectrum is still occurring. The race primarily aims to enhance the allocation of radio resources and to optimise coverage, thus providing more bandwidth for the rapidly increasing number of data-hungry applications. The opportunity for novel channel scheduling and spectrum sharing techniques to improve performance has arisen with the introduction of advanced wireless communication systems including the Long Term Evolution-Advanced (LTE-A) system, which supports resilient and efficient spectrum utilisation. One of the main features of LTE-A is the ability to efficiently utilise femtocells both for home and enterprise broadband users. Femtocells are central to the next iteration of mobile cellular network development based on LTE-A. Typical femtocells are expected to include a low power and low cost mobile cellular base station, known as a home evolved node base station, that connects to the Internet over a service provider broadband network connection. Locally networked femtocell arrays are used to enhance mobile network coverage and capacity in crowded urban and indoor locations. Traditional resource management, channel scheduling and spectrum access techniques are either not applicable for LTE-A femtocells or operate inefficiently; therefore, innovative techniques are required to manage interference and intelligently maintain the quality of service. The research carried out presents a number of original contributions to fulfil these objectives. In this thesis, a performance analysis of LTE-A based femtocells is carried out and three different radio access and optimisation techniques are proposed. When considering low-cost solutions for urban indoor coverage and data rate, femtocells come to the fore. Due to potentially dense self-deployment of femtocells that are incorrectly configured, considerable inter-femtocell interference might occur, thereby resulting in severe performance degradation. To mitigate the inter-femtocell interference and to utilise the available transmission channels more efficiently, at first, a new cognitive co-channel cluster-based femtocell configuration that uses a priority-based users' spectrum sharing model was proposed. This proposal builds upon an existing fractional frequency reuse technique to ensure that interference is minimised and the utilisation of bandwidth between the femtocell users is maximised. Second, a femtocell coverage optimisation algorithm is presented that reduces coverage gaps and cell interference while increasing the signal-to-noise ratio of the femtocell users. The proposed coverage optimisation algorithm utilises two power allocation techniques that continuously…
Subjects/Keywords: Fields of Research; LTE Advance; Femtocell; Radio Access; Dynamic Spectrum Access; Resource Allocation; Channel Scheduling
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APA (6th Edition):
Arafat, A. (2019). Radio access for LTE-advanced femtocells. (Thesis). RMIT University. Retrieved from http://researchbank.rmit.edu.au/view/rmit:162812
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Arafat, A. “Radio access for LTE-advanced femtocells.” 2019. Thesis, RMIT University. Accessed January 21, 2021.
http://researchbank.rmit.edu.au/view/rmit:162812.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Arafat, A. “Radio access for LTE-advanced femtocells.” 2019. Web. 21 Jan 2021.
Vancouver:
Arafat A. Radio access for LTE-advanced femtocells. [Internet] [Thesis]. RMIT University; 2019. [cited 2021 Jan 21].
Available from: http://researchbank.rmit.edu.au/view/rmit:162812.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Arafat A. Radio access for LTE-advanced femtocells. [Thesis]. RMIT University; 2019. Available from: http://researchbank.rmit.edu.au/view/rmit:162812
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Rochester Institute of Technology
16.
Shah Mohammadi, Fatemeh.
Machine Learning-Enabled Resource Allocation for Underlay Cognitive Radio Networks.
Degree: PhD, Engineering, 2020, Rochester Institute of Technology
URL: https://scholarworks.rit.edu/theses/10459
► Due to the rapid growth of new wireless communication services and applications, much attention has been directed to frequency spectrum resources and the way…
(more)
▼ Due to the rapid growth of new wireless communication services and applications, much attention has been directed to frequency
spectrum resources and the way they are regulated. Considering that the radio
spectrum is a natural limited resource, supporting the ever increasing demands for higher capacity and higher data rates for diverse sets of users, services and applications is a challenging task which requires innovative technologies capable of providing new ways of efficiently exploiting the available radio
spectrum. Consequently,
dynamic spectrum access (DSA) has been proposed as a replacement for static
spectrum allocation policies. The DSA is implemented in three modes including interweave, overlay and underlay mode [1].
The key enabling technology for DSA is cognitive radio (CR), which is among the core prominent technologies for the next generation of wireless communication systems. Unlike conventional radio which is restricted to only operate in designated
spectrum bands, a CR has the capability to operate in different
spectrum bands owing to its ability in sensing, understanding its wireless environment, learning from past experiences and proactively changing the transmission parameters as needed. These features for CR are provided by an intelligent software package called the cognitive engine (CE). In general, the CE manages radio resources to accomplish cognitive functionalities and allocates and adapts the radio resources to optimize the performance of the network. Cognitive functionality of the CE can be achieved by leveraging machine learning techniques. Therefore, this thesis explores the application of two machine learning techniques in enabling the cognition capability of CE. The two considered machine learning techniques are neural network-based supervised learning and reinforcement learning. Specifically, this thesis develops resource allocation algorithms that leverage the use of machine learning techniques to find the solution to the resource allocation problem for heterogeneous underlay cognitive radio networks (CRNs). The proposed algorithms are evaluated under extensive simulation runs.
The first resource allocation algorithm uses a neural network-based learning paradigm to present a fully autonomous and distributed underlay DSA scheme where each CR operates based on predicting its transmission effect on a primary network (PN). The scheme is based on a CE with an artificial neural network that predicts the adaptive modulation and coding configuration for the primary link nearest to a transmitting CR, without exchanging information between primary and secondary networks. By managing the effect of the secondary network (SN) on the primary network, the presented technique maintains the relative average throughput change in the primary network within a prescribed maximum value, while also finding transmit settings for the CRs that result in throughput as large as allowed by the primary network interference limit.
The second resource allocation algorithm uses reinforcement…
Advisors/Committee Members: Andres Kwasinski.
Subjects/Keywords: Cognitive radio networks; Dynamic spectrum access; Machine learning; Wireless communication
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Manager
APA (6th Edition):
Shah Mohammadi, F. (2020). Machine Learning-Enabled Resource Allocation for Underlay Cognitive Radio Networks. (Doctoral Dissertation). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/10459
Chicago Manual of Style (16th Edition):
Shah Mohammadi, Fatemeh. “Machine Learning-Enabled Resource Allocation for Underlay Cognitive Radio Networks.” 2020. Doctoral Dissertation, Rochester Institute of Technology. Accessed January 21, 2021.
https://scholarworks.rit.edu/theses/10459.
MLA Handbook (7th Edition):
Shah Mohammadi, Fatemeh. “Machine Learning-Enabled Resource Allocation for Underlay Cognitive Radio Networks.” 2020. Web. 21 Jan 2021.
Vancouver:
Shah Mohammadi F. Machine Learning-Enabled Resource Allocation for Underlay Cognitive Radio Networks. [Internet] [Doctoral dissertation]. Rochester Institute of Technology; 2020. [cited 2021 Jan 21].
Available from: https://scholarworks.rit.edu/theses/10459.
Council of Science Editors:
Shah Mohammadi F. Machine Learning-Enabled Resource Allocation for Underlay Cognitive Radio Networks. [Doctoral Dissertation]. Rochester Institute of Technology; 2020. Available from: https://scholarworks.rit.edu/theses/10459
Delft University of Technology
17.
Majid, A.Y. (author).
Better Mobility Support for Radio Spectrum White Space-enabled Devices.
Degree: 2015, Delft University of Technology
URL: http://resolver.tudelft.nl/uuid:df6d3ad8-c65a-48bf-93cf-f5f38d0b4c1b
Telecommunications
Telecommunications
Electrical Engineering, Mathematics and Computer Science
Advisors/Committee Members: Przemek, P. (mentor).Subjects/Keywords: Dynamic Spectrum Access; WSDB
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APA (6th Edition):
Majid, A. Y. (. (2015). Better Mobility Support for Radio Spectrum White Space-enabled Devices. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:df6d3ad8-c65a-48bf-93cf-f5f38d0b4c1b
Chicago Manual of Style (16th Edition):
Majid, A Y (author). “Better Mobility Support for Radio Spectrum White Space-enabled Devices.” 2015. Masters Thesis, Delft University of Technology. Accessed January 21, 2021.
http://resolver.tudelft.nl/uuid:df6d3ad8-c65a-48bf-93cf-f5f38d0b4c1b.
MLA Handbook (7th Edition):
Majid, A Y (author). “Better Mobility Support for Radio Spectrum White Space-enabled Devices.” 2015. Web. 21 Jan 2021.
Vancouver:
Majid AY(. Better Mobility Support for Radio Spectrum White Space-enabled Devices. [Internet] [Masters thesis]. Delft University of Technology; 2015. [cited 2021 Jan 21].
Available from: http://resolver.tudelft.nl/uuid:df6d3ad8-c65a-48bf-93cf-f5f38d0b4c1b.
Council of Science Editors:
Majid AY(. Better Mobility Support for Radio Spectrum White Space-enabled Devices. [Masters Thesis]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:df6d3ad8-c65a-48bf-93cf-f5f38d0b4c1b
18.
Abdelraheem, Mohamed Medhat Tawfik.
Spectrum-efficient Cooperation and Bargaining-based Resource Allocation for Secondary Users in Cognitive Radio Networks.
Degree: PhD, Electrical Engineering, 2015, Virginia Tech
URL: http://hdl.handle.net/10919/64176
► Dynamic spectrum access (DSA) is a promising approach to alleviate spectrum scarcity and improve spectrum utilization. Our work aims to enhance the utilization of the…
(more)
▼ Dynamic spectrum access (DSA) is a promising approach to alleviate
spectrum scarcity and improve
spectrum utilization. Our work aims to enhance the utilization of the available white spaces in the licensed
spectrum by enabling cooperative communication in the secondary networks. We investigate the ability of a two-hop cooperative transmission to reduce the effect of primary user interruption on secondary transmissions. We analyze the performance of a cooperative secondary transmission by modeling the interaction between primary user and secondary user transmissions using a discrete time Markov chain (DTMC). The analysis shows a significant enhancement in the secondary transmission efficiency and throughput when cooperative transmission is utilized compared to that of direct transmission, especially at high levels of primary user activity.
We extend our study to model secondary cooperative transmission
in realistic scenarios. We evaluate the throughput performance enhancement in the secondary infrastructure network analytical and by simulation. A simple scenario is modeled analytically by a DTMC that captures the probability of finding intermediate relays according to nodes' density and by discrete event simulation where both results confined each other. We introduce a dedicated cooperative and cognitive Media
Access Control (MAC) protocol named CO2MAC to facilitate secondary users transmissions in infrastructure-based secondary networks. The proposed MAC enables utilizing cooperative Multi-Input-Multi-Output (MIMO) transmission techniques to further enhance the throughput performance. By using the proposed MAC, we quantify the enhancement in the throughput of secondary infrastructure networks via simulation for complex scenarios. The results show an enhancement in cooperative transmission throughput compared to that of direct transmission, especially at crowded
spectrum due to the ability of cooperative transmissions to reduce the negative effect of primary user interruptions by buffering the data at intermediate relays. Also, the cooperative throughput performance enhances compared to that of direct transmission as the nodes' density increases due to the increase in the probability of finding intermediate relays.
After that, we answer two questions. The first question is about the way a secondary user pays the cooperation price to its relay and what are the conditions under which the cooperation is beneficial for both of them.
The second question is about how to pair the cooperating nodes and allocate channels in an infrastructure based secondary network. To answer the first question, we model the cooperation between the secondary user and its relay as a resource exchange process, where the secondary user vacates part of its dedicated free
spectrum access time to the relay as a price for the energy consumed by the relay in forwarding the secondary user's packets. We define a suitable utility function that combines the throughput and the energy then we apply axiomatic bargaining solutions, namely Nash…
Advisors/Committee Members: Midkiff, Scott F. (committeechair), Yang, Yaling (committee member), MacKenzie, Allen B. (committee member), Koelling, C. Patrick (committee member), El-Nainay, Mustafa Yousry (committee member).
Subjects/Keywords: Cooperative communication; dynamic spectrum access; Markov chain; Bargaining solutions
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APA (6th Edition):
Abdelraheem, M. M. T. (2015). Spectrum-efficient Cooperation and Bargaining-based Resource Allocation for Secondary Users in Cognitive Radio Networks. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/64176
Chicago Manual of Style (16th Edition):
Abdelraheem, Mohamed Medhat Tawfik. “Spectrum-efficient Cooperation and Bargaining-based Resource Allocation for Secondary Users in Cognitive Radio Networks.” 2015. Doctoral Dissertation, Virginia Tech. Accessed January 21, 2021.
http://hdl.handle.net/10919/64176.
MLA Handbook (7th Edition):
Abdelraheem, Mohamed Medhat Tawfik. “Spectrum-efficient Cooperation and Bargaining-based Resource Allocation for Secondary Users in Cognitive Radio Networks.” 2015. Web. 21 Jan 2021.
Vancouver:
Abdelraheem MMT. Spectrum-efficient Cooperation and Bargaining-based Resource Allocation for Secondary Users in Cognitive Radio Networks. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/10919/64176.
Council of Science Editors:
Abdelraheem MMT. Spectrum-efficient Cooperation and Bargaining-based Resource Allocation for Secondary Users in Cognitive Radio Networks. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/64176
University of Notre Dame
19.
Alice J Crohas.
Practical Implementation of a Cognitive Radio System for
Dynamic Spectrum Access</h1>.
Degree: Electrical Engineering, 2008, University of Notre Dame
URL: https://curate.nd.edu/show/9880vq30122
► Cognitive radio for dynamic spectrum access enables opportunistic use of the radio-frequency (RF) spectrum, allowing unlicensed users to utilize licensed bands under the condition…
(more)
▼ Cognitive radio for
dynamic spectrum access
enables opportunistic use of the radio-frequency (RF)
spectrum,
allowing unlicensed users to utilize licensed bands under the
condition that they interfere as little as possible with the
licensees. A cognitive radio transmits on bands detected as being
free, leaving them whenever a primary user is sensed. This work
focuses on the practical implementation of a cognitive radio for
dynamic spectrum access. A power detector is chosen to sense the
spectrum. The Receiver Operating Characteristic (ROC) of the
detector is obtained experimentally. After sensing, the cognitive
radio will transmit on one of the free channels. Detection and
transmission are implemented in parallel at the cognitive
transmitter. There is a tradeoff between transmission rate of the
cognitive radio and interference created to the licensed user. This
thesis also presents the implementation of a cognitive receiver,
the counterpart to the cognitive transmitter. The cognitive
receiver must change frequency of reception every time the
cognitive transmitter changes band (in order to keep receiving
packets). The transmitter sends warning packets when switching from
one channel to another so that the receiver can get resynchronized.
Performance of the cognitive radio system is evaluated using the
minimum amount of time necessary for synchronization. A
demonstration has been set up. Music samples are sent by the
cognitive transmitter and a Graphical User Interface (GUI) shows
the state of the channels (open or in use). Frequency switching is
shown to be essentially unnoticeable to the end
user.
Advisors/Committee Members: J Nicholas Laneman, Committee Member, Daniel Costello, Committee Member, Ken Sauer , Committee Member.
Subjects/Keywords: cognitive radio; dynamic spectrum access
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APA (6th Edition):
Crohas, A. J. (2008). Practical Implementation of a Cognitive Radio System for
Dynamic Spectrum Access</h1>. (Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/9880vq30122
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Crohas, Alice J. “Practical Implementation of a Cognitive Radio System for
Dynamic Spectrum Access</h1>.” 2008. Thesis, University of Notre Dame. Accessed January 21, 2021.
https://curate.nd.edu/show/9880vq30122.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Crohas, Alice J. “Practical Implementation of a Cognitive Radio System for
Dynamic Spectrum Access</h1>.” 2008. Web. 21 Jan 2021.
Vancouver:
Crohas AJ. Practical Implementation of a Cognitive Radio System for
Dynamic Spectrum Access</h1>. [Internet] [Thesis]. University of Notre Dame; 2008. [cited 2021 Jan 21].
Available from: https://curate.nd.edu/show/9880vq30122.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Crohas AJ. Practical Implementation of a Cognitive Radio System for
Dynamic Spectrum Access</h1>. [Thesis]. University of Notre Dame; 2008. Available from: https://curate.nd.edu/show/9880vq30122
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
20.
Chen, Si.
Vehicular Dynamic Spectrum Access: Using Cognitive Radio for Automobile Networks.
Degree: PhD, 2012, Worcester Polytechnic Institute
URL: etd-121212-164128
;
https://digitalcommons.wpi.edu/etd-dissertations/418
► "Vehicular Dynamic Spectrum Access (VDSA) combines the advantages of dynamic spectrum access to achieve higher spectrum efficiency and the special mobility pattern of vehicle fleets.…
(more)
▼ "Vehicular
Dynamic Spectrum Access (VDSA) combines the advantages of
dynamic spectrum access to achieve higher
spectrum efficiency and the special mobility pattern of vehicle fleets. This dissertation presents several noval contributions with respect to vehicular communications, especially vehicle-to-vehicle communications. Starting from a system engineering aspect, this dissertation will present several promising future directions for vehicle communications, taking into consideration both the theoretical and practical aspects of wireless communication deployment. This dissertation starts with presenting a feasibility analysis using queueing theory to model and estimate the performance of VDSA within a TV whitespace environment. The analytical tool uses
spectrum measurement data and vehicle density to find upper bounds of several performance metrics for a VDSA scenario in TVWS. Then, a framework for optimizing VDSA via artificial intelligence and learning, as well as simulation testbeds that reflect realistic
spectrum sharing scenarios between vehicle networks and heterogeneous wireless networks including wireless local area networks and wireless regional area networks. Detailed experimental results justify the testbed for emulating a mobile
dynamic spectrum access environment composed of heterogeneous networks with four dimensional mutual interference. Vehicular cooperative communication is the other proposed technique that combines the cooperative communication technology and vehicle platooning, an emerging concept that is expected to both increase highway utilization and enhance both driver experience and safety. This dissertation will focus on the coexistence of multiple vehicle groups in shared
spectrum, where intra-group cooperation and inter-group competition are investigated in the aspect of channel
access. Finally, a testbed implementation VDSA is presented and a few applications are developed within a VDSA environment, demonstrating the feasibility and benefits of some features in a future transportation system."
Advisors/Committee Members: Sudharman K. Jayaweera, Committee Member, Peder C. Pedersen, Committee Member, Kaveh Pahlavan, Committee Member, Alexander M. Wyglinski, Advisor.
Subjects/Keywords: Automobile Networks; Cognitive Radio; Dynamic Spectrum Access; Vehicular
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APA (6th Edition):
Chen, S. (2012). Vehicular Dynamic Spectrum Access: Using Cognitive Radio for Automobile Networks. (Doctoral Dissertation). Worcester Polytechnic Institute. Retrieved from etd-121212-164128 ; https://digitalcommons.wpi.edu/etd-dissertations/418
Chicago Manual of Style (16th Edition):
Chen, Si. “Vehicular Dynamic Spectrum Access: Using Cognitive Radio for Automobile Networks.” 2012. Doctoral Dissertation, Worcester Polytechnic Institute. Accessed January 21, 2021.
etd-121212-164128 ; https://digitalcommons.wpi.edu/etd-dissertations/418.
MLA Handbook (7th Edition):
Chen, Si. “Vehicular Dynamic Spectrum Access: Using Cognitive Radio for Automobile Networks.” 2012. Web. 21 Jan 2021.
Vancouver:
Chen S. Vehicular Dynamic Spectrum Access: Using Cognitive Radio for Automobile Networks. [Internet] [Doctoral dissertation]. Worcester Polytechnic Institute; 2012. [cited 2021 Jan 21].
Available from: etd-121212-164128 ; https://digitalcommons.wpi.edu/etd-dissertations/418.
Council of Science Editors:
Chen S. Vehicular Dynamic Spectrum Access: Using Cognitive Radio for Automobile Networks. [Doctoral Dissertation]. Worcester Polytechnic Institute; 2012. Available from: etd-121212-164128 ; https://digitalcommons.wpi.edu/etd-dissertations/418
Virginia Tech
21.
Bhadriraju, Abhay Rao.
Misuse Detection in Dynamic Spectrum Access Networks.
Degree: MS, Computer Engineering, 2014, Virginia Tech
URL: http://hdl.handle.net/10919/49259
► With dynamic spectrum access emerging as an important paradigm for efficient spectrum use, mechanisms are required to ensure disciplined spectrum access by secondary users. This…
(more)
▼ With
dynamic spectrum access emerging as an important paradigm for efficient
spectrum use, mechanisms are required to ensure disciplined
spectrum access by secondary users. This must be done without requiring secondary users to disclose private data, such as their exact usage pattern or identities of parties involved. We formulate, design and evaluate a mechanism to collect
spectrum activity information using a set of CPEs. A system design is presented which uses a number of techniques to address mobility and security issues involved in relying on CPEs to collect
spectrum activity information. The system imposes an observation probability such that a rational cheater is dissuaded from
spectrum misuse. The minimum number of CPEs required to impose this observation probability is determined by formulating it as an integer linear program. The security and privacy of this system is analyzed, along with simulation results to evaluate the quality of the solution. Based on the current design, directions for future work are identified and preliminary approaches are presented.
Advisors/Committee Members: Yang, Yaling (committeechair), Hou, Yiwei Thomas (committee member), Reed, Jeffrey Hugh (committee member).
Subjects/Keywords: Wireless Networks; Dynamic Spectrum Access; Linear Optimization; Game Theory; Security; Privacy
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APA (6th Edition):
Bhadriraju, A. R. (2014). Misuse Detection in Dynamic Spectrum Access Networks. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/49259
Chicago Manual of Style (16th Edition):
Bhadriraju, Abhay Rao. “Misuse Detection in Dynamic Spectrum Access Networks.” 2014. Masters Thesis, Virginia Tech. Accessed January 21, 2021.
http://hdl.handle.net/10919/49259.
MLA Handbook (7th Edition):
Bhadriraju, Abhay Rao. “Misuse Detection in Dynamic Spectrum Access Networks.” 2014. Web. 21 Jan 2021.
Vancouver:
Bhadriraju AR. Misuse Detection in Dynamic Spectrum Access Networks. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/10919/49259.
Council of Science Editors:
Bhadriraju AR. Misuse Detection in Dynamic Spectrum Access Networks. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/49259
Virginia Tech
22.
Deaton, Juan Diego.
Enabling Dynamic Spectrum Access in 4G Networks and Beyond.
Degree: PhD, Electrical and Computer Engineering, 2012, Virginia Tech
URL: http://hdl.handle.net/10919/77358
► As early as 2014, mobile network operators' spectral capacity will be overwhelmed by the demand brought on by new devices and applications. To augment capacity…
(more)
▼ As early as 2014, mobile network operators' spectral capacity will be overwhelmed by the demand brought on by new devices and applications. To augment capacity and meet this demand, operators may choose to deploy a
Dynamic Spectrum Access (DSA) overlay.
Spectrum regulation is following suit, with regulators attempting to incorporate
spectrum sharing through the design of
spectrum access rules that support DSA. This dissertation explores the idea of DSA applied to Long Term Evolution Advanced (LTE+) networks. This idea is explored under functional, architectural, and
spectrum policy aspects.
Under the functional and architectural aspects of this topic, the signaling and functionality required by such an overlay have not yet been fully considered in the architecture of an LTE+. This dissertation presents a
Spectrum Accountability framework to be integrated into LTE+ MacroNet and HetNet architectures, defining specific element functionality, protocol interfaces, and signaling flow diagrams required to enforce the rights and responsibilities of primary and secondary users. We also identify and propose three DSA management frameworks for LTE+ HetNets:
Spectrum Accountability Client Only, Cell
Spectrum Management, and Domain
Spectrum Management. Our
Spectrum Accountability framework may serve as a guide in the development of future LTE+ network standards that account for DSA.
We also quantify, through simulation and integer programs, the benefits of using DSA channels to augment capacity under a scenario in which LTE+ network can opportunistically use TV and GSM
spectrum. In our first experiment, we a consider a scenario where three different operators share the same cell site with LTE+ equipment and a
Dynamic Spectrum Access (DSA) band to augment spectral capacity. Our experiments show that throughput can increase by as much as 40%. We develop integer programs to model the assignment of
spectrum channels to both a MacroNet and HetNet. In our selected scenario, we observe TV white
spectrum provides the largest gain in performance for both Nets: 27% for MacroNet and 9% increase for the HetNet over our measured ranges. Although the gains in using opportunistic use of GSM is more modest, 10% and 2% for the Macro and HetNet, respectively, we believe that these gains will significantly increase as operators continue to migrate users to LTE+, thus freeing up portions of the bands currently used for GSM service. In our final analytical model, we create integer program sets to represent the different three DSA management frameworks for LTE+ HetNets and compare their results.
Under the
spectrum policy aspects, this dissertation develops a decision-theoretic framework for regulators to assess the impacts of different
spectrum access rules on both primary and secondary operators. We analyze
access rules based on sensing and exclusion areas, which in practice can be enforced through geolocation databases. Our results show that receiver-only sensing provides insufficient protection for primary and co-existing secondary users and…
Advisors/Committee Members: Achenie, Luke E. K. (committeechair), Wernz, Christian (committee member), Reed, Jeffrey Hugh (committee member), MacKenzie, Allen B. (committee member), Midkiff, Scott F. (committee member).
Subjects/Keywords: Long Term Evolution Advanced; Cellular Networks; Dynamic Spectrum Access
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Manager
APA (6th Edition):
Deaton, J. D. (2012). Enabling Dynamic Spectrum Access in 4G Networks and Beyond. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/77358
Chicago Manual of Style (16th Edition):
Deaton, Juan Diego. “Enabling Dynamic Spectrum Access in 4G Networks and Beyond.” 2012. Doctoral Dissertation, Virginia Tech. Accessed January 21, 2021.
http://hdl.handle.net/10919/77358.
MLA Handbook (7th Edition):
Deaton, Juan Diego. “Enabling Dynamic Spectrum Access in 4G Networks and Beyond.” 2012. Web. 21 Jan 2021.
Vancouver:
Deaton JD. Enabling Dynamic Spectrum Access in 4G Networks and Beyond. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/10919/77358.
Council of Science Editors:
Deaton JD. Enabling Dynamic Spectrum Access in 4G Networks and Beyond. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/77358
Virginia Tech
23.
Lerch, Marc Alger.
Using Decoys as a Resiliency Mechanism in Spectrally Harsh DSA Environments.
Degree: MS, Electrical Engineering, 2014, Virginia Tech
URL: http://hdl.handle.net/10919/25842
► As wireless communication mediums develop and Dynamic Spectrum Access (DSA) is implemented as a means to increase capacity on a limited spectrum, the threat of…
(more)
▼ As wireless communication mediums develop and
Dynamic Spectrum Access (DSA) is implemented as a means to increase capacity on a limited
spectrum, the threat of reactive interference becomes real. The motivation for this thesis is to address this problem by suggesting a mechanism which could be used in these spectrally harsh DSA environments.
Overcoming certain types of interference in DSA environments requires unique approaches to transmitting and receiving data. This thesis discusses a decoy-based approach to mitigate conditions in which interference reacts to the spectral movement of the transmitting DSA radio as it hops around the frequency
spectrum. Specifically using a polyphase channelizer, multiple replicas of the information signal are simultaneously transmitted at separate frequencies to lure reactive interference away from the main source of transmission. Using either serial or parallel transmission (splitting the signal in time or splitting the signal's energy) with the decoy signals and the original signal can either maximize data throughput in a minimal-interference environment or can add necessary robustness in the presence of multiple sources of reactive interference.
This decoy-based approach is verified with network simulation. An event-based simulator written in C++ was used to define the capacity or maximum throughput. Configuration files loaded with the necessary presets are used to run three network simulation scenarios: First Responder, Military Patrol, and Airborne Network.
Advisors/Committee Members: Clancy, Thomas Charles (committeechair), McGwier, Robert W. (committeechair), Browne, David W. (committee member), Reed, Jeffrey Hugh (committee member).
Subjects/Keywords: Cognitive Radio; Dynamic Spectrum Access; Decoy-Based Approach
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Manager
APA (6th Edition):
Lerch, M. A. (2014). Using Decoys as a Resiliency Mechanism in Spectrally Harsh DSA Environments. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/25842
Chicago Manual of Style (16th Edition):
Lerch, Marc Alger. “Using Decoys as a Resiliency Mechanism in Spectrally Harsh DSA Environments.” 2014. Masters Thesis, Virginia Tech. Accessed January 21, 2021.
http://hdl.handle.net/10919/25842.
MLA Handbook (7th Edition):
Lerch, Marc Alger. “Using Decoys as a Resiliency Mechanism in Spectrally Harsh DSA Environments.” 2014. Web. 21 Jan 2021.
Vancouver:
Lerch MA. Using Decoys as a Resiliency Mechanism in Spectrally Harsh DSA Environments. [Internet] [Masters thesis]. Virginia Tech; 2014. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/10919/25842.
Council of Science Editors:
Lerch MA. Using Decoys as a Resiliency Mechanism in Spectrally Harsh DSA Environments. [Masters Thesis]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/25842
Virginia Tech
24.
Rebholz, Matthew John.
Dynamic Spectrum Access Network Simulation and Classification of Secondary User Properties.
Degree: MS, Electrical Engineering, 2013, Virginia Tech
URL: http://hdl.handle.net/10919/23244
► This thesis explores the use of the Naïve Bayesian classifier as a method of determining high-level information about secondary users in a Dynamic Spectrum Access…
(more)
▼ This thesis explores the use of the Naïve Bayesian classifier as a method of determining high-level information about secondary users in a
Dynamic Spectrum Access (DSA) network using a low complexity channel sensing method. With a growing number of users generating an increased demand for broadband
access, determining an efficient method for utilizing the limited available broadband is a developing current and future issue. One possible solution is DSA, which we simulate using the Universal DSA Network Simulator (UDNS), created by our team at Virginia Tech. However, DSA requires user devices to monitor large amounts of bandwidth, and the user devices are often limited in their acceptable size, weight, and power. This greatly limits the usable bandwidth when using complex channel sensing methods. Therefore, this thesis focuses on energy detection for channel sensing. Constraining computing requirements by operating with limited
spectrum sensing equipment allows for efficient use of limited broadband by user devices. The research on using the Naïve Bayesian classifier coupled with energy detection and the UDNS serves as a strong starting point for supplementary work in the area of radio classification.
Advisors/Committee Members: Bose, Tamal (committeechair), Dietrich, Carl B. (committee member), Manteghi, Majid (committee member).
Subjects/Keywords: Dynamic Spectrum Access; Cognitive Radios; Naïve Bayesian Classification; Matlab Simulation
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Manager
APA (6th Edition):
Rebholz, M. J. (2013). Dynamic Spectrum Access Network Simulation and Classification of Secondary User Properties. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/23244
Chicago Manual of Style (16th Edition):
Rebholz, Matthew John. “Dynamic Spectrum Access Network Simulation and Classification of Secondary User Properties.” 2013. Masters Thesis, Virginia Tech. Accessed January 21, 2021.
http://hdl.handle.net/10919/23244.
MLA Handbook (7th Edition):
Rebholz, Matthew John. “Dynamic Spectrum Access Network Simulation and Classification of Secondary User Properties.” 2013. Web. 21 Jan 2021.
Vancouver:
Rebholz MJ. Dynamic Spectrum Access Network Simulation and Classification of Secondary User Properties. [Internet] [Masters thesis]. Virginia Tech; 2013. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/10919/23244.
Council of Science Editors:
Rebholz MJ. Dynamic Spectrum Access Network Simulation and Classification of Secondary User Properties. [Masters Thesis]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/23244
Virginia Tech
25.
Bian, Kaigui.
Medium Access Control in Cognitive Radio Networks.
Degree: PhD, Electrical and Computer Engineering, 2011, Virginia Tech
URL: http://hdl.handle.net/10919/37591
► Cognitive radio (CR) is seen as one of the enabling technologies for realizing a new regulatory spectrum management paradigm, viz. opportunistic spectrum sharing (OSS). In…
(more)
▼ Cognitive radio (CR) is seen as one of the enabling technologies for realizing a new regulatory
spectrum management paradigm, viz. opportunistic
spectrum sharing (OSS). In the OSS paradigm, unlicensed users (a.k.a. secondary users) opportunistically operate in fallow licensed
spectrum on a non-interference basis to licensed users (a.k.a. incumbent or primary users). Incumbent users have absolute priority in
licensed bands, and secondary users must vacate the channel where incumbent user signals are detected. A CR network is composed of secondary users equipped with CRs and it can coexist with incumbent users in licensed bands under the OSS paradigm. The coexistence between incumbent users and secondary users is referred to as incumbent coexistence, and the coexistence between CR networks of the same type is referred to as self-coexistence.
In this dissertation, we address three coexistence-related problems at the medium
access
control (MAC) layer in CR networks: (1) the rendezvous (control channel) establishment
problem, (2) the channel assignment problem in an ad hoc CR network, and (3) the
spectrum sharing problem between infrastructure-based CR networks, i.e., the 802.22 wireless regional area networks (WRANs). Existing MAC layer protocols in conventional wireless networks fail to adequately address the key issues concerning incumbent and self coexistence that emerge in CR networks. To solve the rendezvous establishment problem, we present a systematic approach, based on quorum systems, for designing channel hopping protocols that ensure a pair of CRs to "rendezvous" within an upper-bounded time over a common channel that is free of incumbent user signals. In a single radio interface, ad hoc CR network, we propose a distributed channel assignment scheme that assigns channels at the granularity of "segments" for minimizing the channel switching overhead. By taking into account the coexistence requirements, we propose an inter-network
spectrum sharing protocol that enables the sharing of vacant TV white space among coexisting WRANs. Our analytical and simulation results show that these proposed schemes can effectively address the aforementioned MAC layer coexistence problems in CR networks.
Advisors/Committee Members: Park, Jung-Min Jerry (committeechair), Hou, Yiwei Thomas (committee member), Hsiao, Michael S. (committee member), Yang, Yaling (committee member), Arthur, James D. (committee member).
Subjects/Keywords: cognitive radio; coexistence; medium access control; control channel; rendezvous; channel hopping; channel assignment; opportunistic spectrum sharing; dynamic spectrum access
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APA (6th Edition):
Bian, K. (2011). Medium Access Control in Cognitive Radio Networks. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/37591
Chicago Manual of Style (16th Edition):
Bian, Kaigui. “Medium Access Control in Cognitive Radio Networks.” 2011. Doctoral Dissertation, Virginia Tech. Accessed January 21, 2021.
http://hdl.handle.net/10919/37591.
MLA Handbook (7th Edition):
Bian, Kaigui. “Medium Access Control in Cognitive Radio Networks.” 2011. Web. 21 Jan 2021.
Vancouver:
Bian K. Medium Access Control in Cognitive Radio Networks. [Internet] [Doctoral dissertation]. Virginia Tech; 2011. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/10919/37591.
Council of Science Editors:
Bian K. Medium Access Control in Cognitive Radio Networks. [Doctoral Dissertation]. Virginia Tech; 2011. Available from: http://hdl.handle.net/10919/37591
26.
Clendenen, David A.
A Software Defined Radio Testbed for Research in Dynamic Spectrum Access.
Degree: 2012, IPFW
URL: http://opus.ipfw.edu/masters_theses/10
► With the rapidly-increasing amount of high data rate wireless devices, technologies and services appearing on the market today, there is an increasing demand for…
(more)
▼ With the rapidly-increasing amount of high data rate wireless devices, technologies and services appearing on the market today, there is an increasing demand for the wireless spectrum. Current wireless networks are characterized by a static spectrum allocation policy, where governmental agencies assign wireless spectrum to license holders on a long-term basis for large geographical regions. Recently, because of the increase in spectrum demand, this policy faces spectrum scarcity in particular spectrum bands. Dynamic spectrum access (DSA) shows promise to increase spectral efficiency. DSA aims at dynamically sharing spectrum that is licensed to primary users (PUs) with non-licensed secondary users (SUs). In order to effectively share spectrum the SUs must be sure to access the spectrum only when the PUs are not utilizing it, otherwise the SUs could cause interference to the PUs. One method to determine when a PU is accessing the spectrum is for a SU to identify if the spectrum is occupied or not through spectrum sensing. Spectrum probing is a key component in spectrum sensing and defines the policy for when the SU will perform a channel scan of the spectrum to collect spectral data to be used for spectrum sensing.
This work describes the development of a software defined radio (SDR) testbed based on the Universal Software Radio Peripheral (USRP) for research in DSA with a focus in spectrum probing methods. Spectrum probing methodology is an often overlooked component of spectrum sensing. Theoretical analysis and simulation results for comparing different spectrum probing methods are presented in [1]. This work expands on the work in [1] by using the developed SDR testbed to collect experimental data and compare the results. Different spectrum probing methods are implemented for the case of an independent SU and for the case of a cooperative network of SUs. Experimental results are compared to theoretical analysis and simulated results. The experimental findings further support the conclusions based on simulation in [1]. In particular, in the independent sensing scenario, periodic probing indeed achieves the smallest probing delay; however, in the cooperative sensing scenario randomization can drastically reduce the probing delay.
Subjects/Keywords: software defined radio; cognitive radio; USRP; dynamic spectrum access; spectrum sensing; spectrum probing; Electrical and Computer Engineering; Engineering; Systems and Communications
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APA ·
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MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
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APA (6th Edition):
Clendenen, D. A. (2012). A Software Defined Radio Testbed for Research in Dynamic Spectrum Access. (Masters Thesis). IPFW. Retrieved from http://opus.ipfw.edu/masters_theses/10
Chicago Manual of Style (16th Edition):
Clendenen, David A. “A Software Defined Radio Testbed for Research in Dynamic Spectrum Access.” 2012. Masters Thesis, IPFW. Accessed January 21, 2021.
http://opus.ipfw.edu/masters_theses/10.
MLA Handbook (7th Edition):
Clendenen, David A. “A Software Defined Radio Testbed for Research in Dynamic Spectrum Access.” 2012. Web. 21 Jan 2021.
Vancouver:
Clendenen DA. A Software Defined Radio Testbed for Research in Dynamic Spectrum Access. [Internet] [Masters thesis]. IPFW; 2012. [cited 2021 Jan 21].
Available from: http://opus.ipfw.edu/masters_theses/10.
Council of Science Editors:
Clendenen DA. A Software Defined Radio Testbed for Research in Dynamic Spectrum Access. [Masters Thesis]. IPFW; 2012. Available from: http://opus.ipfw.edu/masters_theses/10
Virginia Tech
27.
Bahrak, Behnam.
Ex Ante Approaches for Security, Privacy, and Enforcement in Spectrum Sharing.
Degree: PhD, Electrical Engineering, 2013, Virginia Tech
URL: http://hdl.handle.net/10919/24720
► Cognitive radios (CRs) are devices that are capable of sensing the spectrum and using its free portions in an opportunistic manner. The free spectrum portions…
(more)
▼ Cognitive radios (CRs) are devices that are capable of sensing the
spectrum and using its free portions in an opportunistic manner. The free
spectrum portions are referred to as white spaces or
spectrum holes. It is widely believed that CRs are one of the key enabling technologies for realizing a new regulatory
spectrum management paradigm, viz.
dynamic spectrum access (DSA). CRs often employ software-defined radio (SDR) platforms that are capable of executing artificial intelligence (AI) algorithms to reconfigure their transmission/reception (TX/RX) parameters to communicate efficiently while avoiding interference with licensed (a.k.a. primary or incumbent) users and unlicensed (a.k.a. secondary or cognitive) users.
When different stakeholders share a common resource, such as the case in
spectrum sharing, security, privacy, and enforcement become critical considerations that affect the welfare of all stakeholders. Recent advances in radio
spectrum access technologies, such as CRs, have made
spectrum sharing a viable option for significantly improving
spectrum utilization efficiency. However, those technologies have also contributed to exacerbating the difficult problems of security, privacy and enforcement. In this dissertation, we review some of the critical security and privacy threats that impact
spectrum sharing. We also discuss ex ante (preventive) approaches which mitigate the security and privacy threats and help
spectrum enforcement.
Advisors/Committee Members: Park, Jung-Min Jerry (committeechair), Vullikanti, Anil Kumar S. (committee member), Patterson, Cameron D. (committee member), Dietrich, Carl B. (committee member), Shukla, Sandeep K. (committee member).
Subjects/Keywords: Cognitive Radio; Dynamic Spectrum Access; Spectrum Enforcement; Policy Reasoning; Spectrum Learning; Geolocation Databases; Privacy-preserving Techniques
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APA ·
Chicago ·
MLA ·
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CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Bahrak, B. (2013). Ex Ante Approaches for Security, Privacy, and Enforcement in Spectrum Sharing. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/24720
Chicago Manual of Style (16th Edition):
Bahrak, Behnam. “Ex Ante Approaches for Security, Privacy, and Enforcement in Spectrum Sharing.” 2013. Doctoral Dissertation, Virginia Tech. Accessed January 21, 2021.
http://hdl.handle.net/10919/24720.
MLA Handbook (7th Edition):
Bahrak, Behnam. “Ex Ante Approaches for Security, Privacy, and Enforcement in Spectrum Sharing.” 2013. Web. 21 Jan 2021.
Vancouver:
Bahrak B. Ex Ante Approaches for Security, Privacy, and Enforcement in Spectrum Sharing. [Internet] [Doctoral dissertation]. Virginia Tech; 2013. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/10919/24720.
Council of Science Editors:
Bahrak B. Ex Ante Approaches for Security, Privacy, and Enforcement in Spectrum Sharing. [Doctoral Dissertation]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/24720
Universitat Politècnica de Catalunya
28.
López Benítez, Miguel.
Spectrum usage models for the analysis, design and simulation of cognitive radio networks.
Degree: Departament de Teoria del Senyal i Comunicacions, 2011, Universitat Politècnica de Catalunya
URL: http://hdl.handle.net/10803/33282
► The owned spectrum allocation policy, in use since the early days of modern radio communications, has been proven to effectively control interference among radio communication…
(more)
▼ The owned
spectrum allocation policy, in use since the early days of modern radio communications, has been proven to effectively control interference among radio communication systems. However, the overwhelming proliferation of new operators, innovative services and wireless technologies during the last years has resulted, under this static regulatory regime, in the depletion of
spectrum bands with commercially attractive radio propagation characteristics. An important number of
spectrum measurements, however, have shown that
spectrum is mostly underutilized, thus indicating that the virtual
spectrum scarcity problem actually results from static and inflexible
spectrum management policies rather than the physical scarcity of radio resources. This situation has motivated the emergence of
Dynamic Spectrum Access (DSA) methods based on the Cognitive Radio (CR) paradigm, which has gained popularity as a promising solution to conciliate the existing conflicts between
spectrum demand growth and
spectrum underutilization. The basic underlying idea of DSA/CR is to allow unlicensed (secondary) users to
access in an opportunistic and non-interfering manner some licensed bands temporarily unoccupied by the licensed (primary) users.
Due to the opportunistic nature of this principle, the behavior and performance of a DSA/CR network depends on the
spectrum occupancy patterns of the primary system. A realistic and accurate modeling of such patterns becomes therefore essential and extremely useful in the domain of DSA/CR research. The potential applicability of
spectrum usage models ranges from analytical studies to the design and dimensioning of secondary networks as well as the development of innovative simulation tools and more efficient DSA/CR techniques.
Spectrum occupancy modeling in the context of DSA/CR constitutes a rather unexplored research area. This dissertation addresses the problem of modeling
spectrum usage in the context of DSA/CR by contributing a comprehensive and holistic set of realistic models capable to accurately capture and reproduce the statistical properties of
spectrum usage in real radio communication systems in the time, frequency and space dimensions.
The first part of this dissertation addresses the development of a unified methodological framework for
spectrum measurements in the context of DSA/CR and presents the results of an extensive
spectrum measurement campaign performed over a wide variety of locations and scenarios in the metropolitan area of Barcelona, Spain, to identify potential bands of interest for future DSA/CR deployments. To the best of the author's knowledge, this is the first study of these characteristics performed under the scope of the Spanish
spectrum regulation and one of the earliest studies in Europe. The second part deals with various specific aspects related to the processing of measurements to extract
spectrum occupancy patterns, which is largely similar to the problem of
spectrum sensing in DSA/CR. The performance of energy detection, the most widely employed…
Advisors/Committee Members: [email protected] (authoremail), false (authoremailshow), Casadevall Palacio, Fernando José (director), true (authorsendemail).
Subjects/Keywords: Radio communications; Wireless communications; Spectrum management; Dynamic spectrum access; Cognitive radio; Spectrum occupancy; Spectrum models; Spectrum sensing; Energy detection; Signal incertainty; 621.3
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APA (6th Edition):
López Benítez, M. (2011). Spectrum usage models for the analysis, design and simulation of cognitive radio networks. (Thesis). Universitat Politècnica de Catalunya. Retrieved from http://hdl.handle.net/10803/33282
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
López Benítez, Miguel. “Spectrum usage models for the analysis, design and simulation of cognitive radio networks.” 2011. Thesis, Universitat Politècnica de Catalunya. Accessed January 21, 2021.
http://hdl.handle.net/10803/33282.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
López Benítez, Miguel. “Spectrum usage models for the analysis, design and simulation of cognitive radio networks.” 2011. Web. 21 Jan 2021.
Vancouver:
López Benítez M. Spectrum usage models for the analysis, design and simulation of cognitive radio networks. [Internet] [Thesis]. Universitat Politècnica de Catalunya; 2011. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/10803/33282.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
López Benítez M. Spectrum usage models for the analysis, design and simulation of cognitive radio networks. [Thesis]. Universitat Politècnica de Catalunya; 2011. Available from: http://hdl.handle.net/10803/33282
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
University of Oulu
29.
Bennis, M. (Mehdi).
Spectrum sharing for future mobile cellular systems.
Degree: 2009, University of Oulu
URL: http://urn.fi/urn:isbn:9789514260582
► Abstract Spectrum sharing has become a high priority research area over the past few years. The motivation behind this lies in the fact that the…
(more)
▼ Abstract
Spectrum sharing has become a high priority research area over the past few years. The motivation behind this lies in the fact that the limited spectrum is currently inefficiently utilized. As recognized by the World radio communication conference (WRC)-07, the amount of identified spectrum is not large enough to support large bandwidths for a substantial number of operators. Therefore, it is paramount for future mobile cellular systems to share the frequency spectrum and coexist in a more efficient manner.
The present dissertation deals with the problem of spectrum scarcity by examining spectrum sharing paradigms where a migration from fixed to flexible resource allocation is investigated. First, a radio resource management (RRM) architecture is proposed where advanced spectrum functionalities accounting for the short-term variations of the spectrum are examined. The achievable gains are shown in a multi-cell, multi-network environment with realistic traffic patterns from a European operator, enhancing thereby spectrum utilization. Second, inter-operator resource sharing in a broadband network is considered where a packet-based cellular network is developed. It is shown that the obtained gains in terms of quality-of-service (QoS), number of operators and different data rates requirements improve the overall efficiency of the network. Besides and in order to cope with the stringent data rate requirements, direct terminal-to-terminal (T2T) communication is examined in which a realistic algorithm is proposed advocating resource reuse in a cellular system with simultaneous communications between mobiles. Numerical results confirm the advantages of resource reuse in terms of throughput, average frame delays and power consumption.
In this thesis, a proposal is made as how to enhance spectrum sharing. The concept of hierarchy is proposed in which wireless competitive operators share the same spectrum band. The decentralized hierarchical approach is shown to bridge the gap between the selfish and centralized approach.
Interference avoidance is studied for point-to-point communication in a selforganized network where different optimal power allocation strategies are examined along with the impact of frequency reuse on the ergodic capacity of the network.
Subjects/Keywords: cognitive radio; dynamic spectrum access; game theory; interference avoidance; opportunistic communication; radio resource management
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APA (6th Edition):
Bennis, M. (. (2009). Spectrum sharing for future mobile cellular systems. (Doctoral Dissertation). University of Oulu. Retrieved from http://urn.fi/urn:isbn:9789514260582
Chicago Manual of Style (16th Edition):
Bennis, M (Mehdi). “Spectrum sharing for future mobile cellular systems.” 2009. Doctoral Dissertation, University of Oulu. Accessed January 21, 2021.
http://urn.fi/urn:isbn:9789514260582.
MLA Handbook (7th Edition):
Bennis, M (Mehdi). “Spectrum sharing for future mobile cellular systems.” 2009. Web. 21 Jan 2021.
Vancouver:
Bennis M(. Spectrum sharing for future mobile cellular systems. [Internet] [Doctoral dissertation]. University of Oulu; 2009. [cited 2021 Jan 21].
Available from: http://urn.fi/urn:isbn:9789514260582.
Council of Science Editors:
Bennis M(. Spectrum sharing for future mobile cellular systems. [Doctoral Dissertation]. University of Oulu; 2009. Available from: http://urn.fi/urn:isbn:9789514260582
Baylor University
30.
Latham, Casey, 1993-.
Joint circuit and waveform optimization for next-generation radar.
Degree: M.S.E.C.E., Baylor University. Dept. of Electrical & Computer Engineering., 2018, Baylor University
URL: http://hdl.handle.net/2104/10345
► Due to congested wireless radio spectrum, next-generation radar transmitters will need to be adaptive and reconfigurable in real time to share spectrum with wireless communication…
(more)
▼ Due to congested wireless radio
spectrum, next-generation radar transmitters will need to be adaptive and reconfigurable in real time to share
spectrum with wireless communication devices. Typical system optimization methods rely on separate optimization of the circuit and waveform, which can lead to an over-emphasis on one criteria. While the end result may be acceptable, the intermediate results may not be desirable for a real-time situation. In this thesis, a joint circuit and waveform optimization technique is demonstrated that is designed for use in a real-time reconfigurable radar transmitter. Measurement results are presented to show how joint circuit and waveform optimization allows for better intermediate results that allow real-time optimization to be utilized.
Advisors/Committee Members: Baylis, Charles Passant, 1979- (advisor).
Subjects/Keywords: Next-generation radar. Dynamic spectrum access. Joint optimization. Circuit optimization. Waveform optimization.
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APA (6th Edition):
Latham, Casey, 1. (2018). Joint circuit and waveform optimization for next-generation radar. (Masters Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/10345
Chicago Manual of Style (16th Edition):
Latham, Casey, 1993-. “Joint circuit and waveform optimization for next-generation radar.” 2018. Masters Thesis, Baylor University. Accessed January 21, 2021.
http://hdl.handle.net/2104/10345.
MLA Handbook (7th Edition):
Latham, Casey, 1993-. “Joint circuit and waveform optimization for next-generation radar.” 2018. Web. 21 Jan 2021.
Vancouver:
Latham, Casey 1. Joint circuit and waveform optimization for next-generation radar. [Internet] [Masters thesis]. Baylor University; 2018. [cited 2021 Jan 21].
Available from: http://hdl.handle.net/2104/10345.
Council of Science Editors:
Latham, Casey 1. Joint circuit and waveform optimization for next-generation radar. [Masters Thesis]. Baylor University; 2018. Available from: http://hdl.handle.net/2104/10345
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Open Access Theses and Dissertations
