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You searched for subject:(spectrum allocation). Showing records 1 – 30 of 79 total matches.

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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

 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)

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 December 05, 2020. 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. 05 Dec 2020.

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 2020 Dec 05]. 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


University of Southern California

2. Bayrak, Ergin. Essays on the economics of radio spectrum.

Degree: PhD, Economics, 2011, University of Southern California

 Radio spectrum is a fundamental input in communications technology and the allocation of spectrum has gained ever increasing importance with technological advances. In this dissertation… (more)

Subjects/Keywords: radio spectrum; spectrum management; spectrum allocation; oligopoly; differentiated goods

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APA (6th Edition):

Bayrak, E. (2011). Essays on the economics of radio spectrum. (Doctoral Dissertation). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/278914/rec/2485

Chicago Manual of Style (16th Edition):

Bayrak, Ergin. “Essays on the economics of radio spectrum.” 2011. Doctoral Dissertation, University of Southern California. Accessed December 05, 2020. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/278914/rec/2485.

MLA Handbook (7th Edition):

Bayrak, Ergin. “Essays on the economics of radio spectrum.” 2011. Web. 05 Dec 2020.

Vancouver:

Bayrak E. Essays on the economics of radio spectrum. [Internet] [Doctoral dissertation]. University of Southern California; 2011. [cited 2020 Dec 05]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/278914/rec/2485.

Council of Science Editors:

Bayrak E. Essays on the economics of radio spectrum. [Doctoral Dissertation]. University of Southern California; 2011. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/278914/rec/2485


University of Alberta

3. Fan, Rongfei. Optimal Spectrum Sensing and Resource Allocation in Cognitive Radio.

Degree: PhD, Department of Electrical and Computer Engineering, 2012, University of Alberta

 Cognitive radio is an emerging spectrum-agile technology to alleviate the upcoming spectrum shortage problem. In a cognitive radio network, unlicensed users (secondary users) can access… (more)

Subjects/Keywords: cognitive radio; resource allocation; spectrum sensing

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APA (6th Edition):

Fan, R. (2012). Optimal Spectrum Sensing and Resource Allocation in Cognitive Radio. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/70795922z

Chicago Manual of Style (16th Edition):

Fan, Rongfei. “Optimal Spectrum Sensing and Resource Allocation in Cognitive Radio.” 2012. Doctoral Dissertation, University of Alberta. Accessed December 05, 2020. https://era.library.ualberta.ca/files/70795922z.

MLA Handbook (7th Edition):

Fan, Rongfei. “Optimal Spectrum Sensing and Resource Allocation in Cognitive Radio.” 2012. Web. 05 Dec 2020.

Vancouver:

Fan R. Optimal Spectrum Sensing and Resource Allocation in Cognitive Radio. [Internet] [Doctoral dissertation]. University of Alberta; 2012. [cited 2020 Dec 05]. Available from: https://era.library.ualberta.ca/files/70795922z.

Council of Science Editors:

Fan R. Optimal Spectrum Sensing and Resource Allocation in Cognitive Radio. [Doctoral Dissertation]. University of Alberta; 2012. Available from: https://era.library.ualberta.ca/files/70795922z


Loughborough University

4. Tang, Jie. Mathematical optimization techniques for resource allocation and spatial multiplexing in spectrum sharing networks.

Degree: PhD, 2013, Loughborough University

 Due to introduction of smart phones with data intensive multimedia and interactive applications and exponential growth of wireless devices, there is a shortage for useful… (more)

Subjects/Keywords: 621.384; Resource allocation; Optimization; Spectrum sharing networks

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APA (6th Edition):

Tang, J. (2013). Mathematical optimization techniques for resource allocation and spatial multiplexing in spectrum sharing networks. (Doctoral Dissertation). Loughborough University. Retrieved from http://hdl.handle.net/2134/11677

Chicago Manual of Style (16th Edition):

Tang, Jie. “Mathematical optimization techniques for resource allocation and spatial multiplexing in spectrum sharing networks.” 2013. Doctoral Dissertation, Loughborough University. Accessed December 05, 2020. http://hdl.handle.net/2134/11677.

MLA Handbook (7th Edition):

Tang, Jie. “Mathematical optimization techniques for resource allocation and spatial multiplexing in spectrum sharing networks.” 2013. Web. 05 Dec 2020.

Vancouver:

Tang J. Mathematical optimization techniques for resource allocation and spatial multiplexing in spectrum sharing networks. [Internet] [Doctoral dissertation]. Loughborough University; 2013. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/2134/11677.

Council of Science Editors:

Tang J. Mathematical optimization techniques for resource allocation and spatial multiplexing in spectrum sharing networks. [Doctoral Dissertation]. Loughborough University; 2013. Available from: http://hdl.handle.net/2134/11677


University of Ottawa

5. Jacob-David, Dany D. Effective Resource Allocation for Non-cooperative Spectrum Sharing .

Degree: 2011, University of Ottawa

Spectrum access protocols have been proposed recently to provide flexible and efficient use of the available bandwidth. Game theory has been applied to the analysis… (more)

Subjects/Keywords: Resource allocation; Spectrum sharing; non-cooperative game; iterative water-filling; greedy algorithm; spectrum management

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APA (6th Edition):

Jacob-David, D. D. (2011). Effective Resource Allocation for Non-cooperative Spectrum Sharing . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/20316

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):

Jacob-David, Dany D. “Effective Resource Allocation for Non-cooperative Spectrum Sharing .” 2011. Thesis, University of Ottawa. Accessed December 05, 2020. http://hdl.handle.net/10393/20316.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jacob-David, Dany D. “Effective Resource Allocation for Non-cooperative Spectrum Sharing .” 2011. Web. 05 Dec 2020.

Vancouver:

Jacob-David DD. Effective Resource Allocation for Non-cooperative Spectrum Sharing . [Internet] [Thesis]. University of Ottawa; 2011. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/10393/20316.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jacob-David DD. Effective Resource Allocation for Non-cooperative Spectrum Sharing . [Thesis]. University of Ottawa; 2011. Available from: http://hdl.handle.net/10393/20316

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Delft University of Technology

6. Stankus, I.P. (author). Assessment of Dynamic Spectrum Allocation in Realistic Mobile Networks.

Degree: 2015, Delft University of Technology

Since the advent of radio communications, radio spectrum has been increasingly getting crowded with different kinds of applications. Different radio communications systems have been developed… (more)

Subjects/Keywords: DSA; LTE; 2G; 4G; Dynamic Spectrum Allocation; Mobile networks; Cellular

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APA (6th Edition):

Stankus, I. P. (. (2015). Assessment of Dynamic Spectrum Allocation in Realistic Mobile Networks. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:168b2a99-ef79-40c3-8173-490c83070d19

Chicago Manual of Style (16th Edition):

Stankus, I P (author). “Assessment of Dynamic Spectrum Allocation in Realistic Mobile Networks.” 2015. Masters Thesis, Delft University of Technology. Accessed December 05, 2020. http://resolver.tudelft.nl/uuid:168b2a99-ef79-40c3-8173-490c83070d19.

MLA Handbook (7th Edition):

Stankus, I P (author). “Assessment of Dynamic Spectrum Allocation in Realistic Mobile Networks.” 2015. Web. 05 Dec 2020.

Vancouver:

Stankus IP(. Assessment of Dynamic Spectrum Allocation in Realistic Mobile Networks. [Internet] [Masters thesis]. Delft University of Technology; 2015. [cited 2020 Dec 05]. Available from: http://resolver.tudelft.nl/uuid:168b2a99-ef79-40c3-8173-490c83070d19.

Council of Science Editors:

Stankus IP(. Assessment of Dynamic Spectrum Allocation in Realistic Mobile Networks. [Masters Thesis]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:168b2a99-ef79-40c3-8173-490c83070d19


University of Ontario Institute of Technology

7. Zhang, Lei. Spectrum sharing for two-way relay networks.

Degree: 2015, University of Ontario Institute of Technology

 We consider a communication network consisting of two transceiver nodes, one relay node, and one receiving node. The relay enables a two-way communication between the… (more)

Subjects/Keywords: Two-way relay; Spectrum sharing; Quality of service; Power allocation; Beamforming

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APA (6th Edition):

Zhang, L. (2015). Spectrum sharing for two-way relay networks. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/578

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, Lei. “Spectrum sharing for two-way relay networks.” 2015. Thesis, University of Ontario Institute of Technology. Accessed December 05, 2020. http://hdl.handle.net/10155/578.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhang, Lei. “Spectrum sharing for two-way relay networks.” 2015. Web. 05 Dec 2020.

Vancouver:

Zhang L. Spectrum sharing for two-way relay networks. [Internet] [Thesis]. University of Ontario Institute of Technology; 2015. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/10155/578.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang L. Spectrum sharing for two-way relay networks. [Thesis]. University of Ontario Institute of Technology; 2015. Available from: http://hdl.handle.net/10155/578

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Louisiana State University

8. Guo, Shengjie. Spectrum- and Energy-Efficient Radio Resource Allocation for Wireless Communications.

Degree: PhD, Systems and Communications, 2018, Louisiana State University

  Wireless communications has been evolved significantly over the last decade. During this period, higher quality of service (QoS) requirements have been proposed to support… (more)

Subjects/Keywords: Resource allocation; wireless communications; spectrum efficiency; energy efficiency

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APA (6th Edition):

Guo, S. (2018). Spectrum- and Energy-Efficient Radio Resource Allocation for Wireless Communications. (Doctoral Dissertation). Louisiana State University. Retrieved from https://digitalcommons.lsu.edu/gradschool_dissertations/4704

Chicago Manual of Style (16th Edition):

Guo, Shengjie. “Spectrum- and Energy-Efficient Radio Resource Allocation for Wireless Communications.” 2018. Doctoral Dissertation, Louisiana State University. Accessed December 05, 2020. https://digitalcommons.lsu.edu/gradschool_dissertations/4704.

MLA Handbook (7th Edition):

Guo, Shengjie. “Spectrum- and Energy-Efficient Radio Resource Allocation for Wireless Communications.” 2018. Web. 05 Dec 2020.

Vancouver:

Guo S. Spectrum- and Energy-Efficient Radio Resource Allocation for Wireless Communications. [Internet] [Doctoral dissertation]. Louisiana State University; 2018. [cited 2020 Dec 05]. Available from: https://digitalcommons.lsu.edu/gradschool_dissertations/4704.

Council of Science Editors:

Guo S. Spectrum- and Energy-Efficient Radio Resource Allocation for Wireless Communications. [Doctoral Dissertation]. Louisiana State University; 2018. Available from: https://digitalcommons.lsu.edu/gradschool_dissertations/4704


Louisiana State University

9. Zhang, Feixiang. ECONOMIC APPROACHES AND MARKET STRUCTURES FOR TEMPORAL-SPATIAL SPECTRUM SHARING.

Degree: PhD, Systems and Communications, 2018, Louisiana State University

  In wireless communication systems, economic approaches can be applied to spectrum sharing and enhance spectrum utilization. In this research, we develop a model where… (more)

Subjects/Keywords: wireless communications; spectrum reuse; VCG auction; on-demand allocation; evolutionary games

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APA (6th Edition):

Zhang, F. (2018). ECONOMIC APPROACHES AND MARKET STRUCTURES FOR TEMPORAL-SPATIAL SPECTRUM SHARING. (Doctoral Dissertation). Louisiana State University. Retrieved from https://digitalcommons.lsu.edu/gradschool_dissertations/4720

Chicago Manual of Style (16th Edition):

Zhang, Feixiang. “ECONOMIC APPROACHES AND MARKET STRUCTURES FOR TEMPORAL-SPATIAL SPECTRUM SHARING.” 2018. Doctoral Dissertation, Louisiana State University. Accessed December 05, 2020. https://digitalcommons.lsu.edu/gradschool_dissertations/4720.

MLA Handbook (7th Edition):

Zhang, Feixiang. “ECONOMIC APPROACHES AND MARKET STRUCTURES FOR TEMPORAL-SPATIAL SPECTRUM SHARING.” 2018. Web. 05 Dec 2020.

Vancouver:

Zhang F. ECONOMIC APPROACHES AND MARKET STRUCTURES FOR TEMPORAL-SPATIAL SPECTRUM SHARING. [Internet] [Doctoral dissertation]. Louisiana State University; 2018. [cited 2020 Dec 05]. Available from: https://digitalcommons.lsu.edu/gradschool_dissertations/4720.

Council of Science Editors:

Zhang F. ECONOMIC APPROACHES AND MARKET STRUCTURES FOR TEMPORAL-SPATIAL SPECTRUM SHARING. [Doctoral Dissertation]. Louisiana State University; 2018. Available from: https://digitalcommons.lsu.edu/gradschool_dissertations/4720


Univerzitet u Beogradu

10. Mikavica, Branka, 1988-, 28289895. Modeli vertikalne interkonekcije u mrežama budućeg Interneta.

Degree: Saobraćajni fakultet, 2020, Univerzitet u Beogradu

: Saobraćajno inženjerstvo - Informaciono-komunikacione tehnologije / Transport and traffic engineering Field of academic expertise: Information and communication technologies

Interkonekcija, čiji primarni cilj je omogućavanje… (more)

Subjects/Keywords: vertical interconnection; vertical integration; future Internet; undertakings; pricing and allocation of cloud resources; elastic optical networks; routing and spectrum allocation problem

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APA (6th Edition):

Mikavica, Branka, 1988-, 2. (2020). Modeli vertikalne interkonekcije u mrežama budućeg Interneta. (Thesis). Univerzitet u Beogradu. Retrieved from https://fedorabg.bg.ac.rs/fedora/get/o:21734/bdef:Content/get

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):

Mikavica, Branka, 1988-, 28289895. “Modeli vertikalne interkonekcije u mrežama budućeg Interneta.” 2020. Thesis, Univerzitet u Beogradu. Accessed December 05, 2020. https://fedorabg.bg.ac.rs/fedora/get/o:21734/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mikavica, Branka, 1988-, 28289895. “Modeli vertikalne interkonekcije u mrežama budućeg Interneta.” 2020. Web. 05 Dec 2020.

Vancouver:

Mikavica, Branka, 1988- 2. Modeli vertikalne interkonekcije u mrežama budućeg Interneta. [Internet] [Thesis]. Univerzitet u Beogradu; 2020. [cited 2020 Dec 05]. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:21734/bdef:Content/get.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mikavica, Branka, 1988- 2. Modeli vertikalne interkonekcije u mrežama budućeg Interneta. [Thesis]. Univerzitet u Beogradu; 2020. Available from: https://fedorabg.bg.ac.rs/fedora/get/o:21734/bdef:Content/get

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

11. Musil, Tomáš. Policy-Based Flexible Spectrum Usage for Next-Generation Mobile Communication Networks: Policy-Based Flexible Spectrum Usage for Next-Generation Mobile Communication Networks.

Degree: 2015, Brno University of Technology

 This Master's thesis deals with proposal of Flexible Spectrum Usage (FSU) algorithm based on policy agreed among operators. The introduction presents basic information about properties… (more)

Subjects/Keywords: IMT-Advanced; flexibilní sdílení spektra; kognitivní rádio; rozdělení spektra; IMT – Advanced; Felxible Spectrum Usage; Cognitive Radio; Spectrum Allocation

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APA (6th Edition):

Musil, T. (2015). Policy-Based Flexible Spectrum Usage for Next-Generation Mobile Communication Networks: Policy-Based Flexible Spectrum Usage for Next-Generation Mobile Communication Networks. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/10235

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):

Musil, Tomáš. “Policy-Based Flexible Spectrum Usage for Next-Generation Mobile Communication Networks: Policy-Based Flexible Spectrum Usage for Next-Generation Mobile Communication Networks.” 2015. Thesis, Brno University of Technology. Accessed December 05, 2020. http://hdl.handle.net/11012/10235.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Musil, Tomáš. “Policy-Based Flexible Spectrum Usage for Next-Generation Mobile Communication Networks: Policy-Based Flexible Spectrum Usage for Next-Generation Mobile Communication Networks.” 2015. Web. 05 Dec 2020.

Vancouver:

Musil T. Policy-Based Flexible Spectrum Usage for Next-Generation Mobile Communication Networks: Policy-Based Flexible Spectrum Usage for Next-Generation Mobile Communication Networks. [Internet] [Thesis]. Brno University of Technology; 2015. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/11012/10235.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Musil T. Policy-Based Flexible Spectrum Usage for Next-Generation Mobile Communication Networks: Policy-Based Flexible Spectrum Usage for Next-Generation Mobile Communication Networks. [Thesis]. Brno University of Technology; 2015. Available from: http://hdl.handle.net/11012/10235

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

12. Musil, Tomáš. Policy-Based Flexible Spectrum Usage for Next-Generation Mobile Communication Networks: Policy-Based Flexible Spectrum Usage for Next-Generation Mobile Communication Networks.

Degree: 2019, Brno University of Technology

 This Master's thesis deals with proposal of Flexible Spectrum Usage (FSU) algorithm based on policy agreed among operators. The introduction presents basic information about properties… (more)

Subjects/Keywords: IMT-Advanced; flexibilní sdílení spektra; kognitivní rádio; rozdělení spektra; IMT – Advanced; Felxible Spectrum Usage; Cognitive Radio; Spectrum Allocation

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Musil, T. (2019). Policy-Based Flexible Spectrum Usage for Next-Generation Mobile Communication Networks: Policy-Based Flexible Spectrum Usage for Next-Generation Mobile Communication Networks. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/4413

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):

Musil, Tomáš. “Policy-Based Flexible Spectrum Usage for Next-Generation Mobile Communication Networks: Policy-Based Flexible Spectrum Usage for Next-Generation Mobile Communication Networks.” 2019. Thesis, Brno University of Technology. Accessed December 05, 2020. http://hdl.handle.net/11012/4413.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Musil, Tomáš. “Policy-Based Flexible Spectrum Usage for Next-Generation Mobile Communication Networks: Policy-Based Flexible Spectrum Usage for Next-Generation Mobile Communication Networks.” 2019. Web. 05 Dec 2020.

Vancouver:

Musil T. Policy-Based Flexible Spectrum Usage for Next-Generation Mobile Communication Networks: Policy-Based Flexible Spectrum Usage for Next-Generation Mobile Communication Networks. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/11012/4413.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Musil T. Policy-Based Flexible Spectrum Usage for Next-Generation Mobile Communication Networks: Policy-Based Flexible Spectrum Usage for Next-Generation Mobile Communication Networks. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/4413

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Edinburgh

13. Pediaditaki, Sofia. Interference-aware adaptive spectrum management for wireless networks using unlicensed frequency bands.

Degree: PhD, 2012, University of Edinburgh

 The growing demand for ubiquitous broadband network connectivity and continuously falling prices in hardware operating on the unlicensed bands have put Wi-Fi technology in a… (more)

Subjects/Keywords: 621.382; adaptive spectrum management; unlicensed spectrum use; multi-radio wireless mesh networks; cognitive radios; learning automata; neighbour discovery; distributed channel allocation

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APA (6th Edition):

Pediaditaki, S. (2012). Interference-aware adaptive spectrum management for wireless networks using unlicensed frequency bands. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/11725

Chicago Manual of Style (16th Edition):

Pediaditaki, Sofia. “Interference-aware adaptive spectrum management for wireless networks using unlicensed frequency bands.” 2012. Doctoral Dissertation, University of Edinburgh. Accessed December 05, 2020. http://hdl.handle.net/1842/11725.

MLA Handbook (7th Edition):

Pediaditaki, Sofia. “Interference-aware adaptive spectrum management for wireless networks using unlicensed frequency bands.” 2012. Web. 05 Dec 2020.

Vancouver:

Pediaditaki S. Interference-aware adaptive spectrum management for wireless networks using unlicensed frequency bands. [Internet] [Doctoral dissertation]. University of Edinburgh; 2012. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/1842/11725.

Council of Science Editors:

Pediaditaki S. Interference-aware adaptive spectrum management for wireless networks using unlicensed frequency bands. [Doctoral Dissertation]. University of Edinburgh; 2012. Available from: http://hdl.handle.net/1842/11725


University of Windsor

14. Paul, Arijit. An optimal and a heuristic approach to solve the route and spectrum allocation problem in OFDM networks.

Degree: MS, Computer Science, 2014, University of Windsor

  To maximize the usage of optical resources, it is important to reduce the total bandwidth requirement for communication. Orthogonal Frequency Division Multiplexing (OFDM) has… (more)

Subjects/Keywords: Applied sciences; Ofdm; Optimal rsa; Orthogonal frequency division multiplexing; Route and spectrum allocation; Rsa

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APA (6th Edition):

Paul, A. (2014). An optimal and a heuristic approach to solve the route and spectrum allocation problem in OFDM networks. (Masters Thesis). University of Windsor. Retrieved from http://scholar.uwindsor.ca/etd/5110

Chicago Manual of Style (16th Edition):

Paul, Arijit. “An optimal and a heuristic approach to solve the route and spectrum allocation problem in OFDM networks.” 2014. Masters Thesis, University of Windsor. Accessed December 05, 2020. http://scholar.uwindsor.ca/etd/5110.

MLA Handbook (7th Edition):

Paul, Arijit. “An optimal and a heuristic approach to solve the route and spectrum allocation problem in OFDM networks.” 2014. Web. 05 Dec 2020.

Vancouver:

Paul A. An optimal and a heuristic approach to solve the route and spectrum allocation problem in OFDM networks. [Internet] [Masters thesis]. University of Windsor; 2014. [cited 2020 Dec 05]. Available from: http://scholar.uwindsor.ca/etd/5110.

Council of Science Editors:

Paul A. An optimal and a heuristic approach to solve the route and spectrum allocation problem in OFDM networks. [Masters Thesis]. University of Windsor; 2014. Available from: http://scholar.uwindsor.ca/etd/5110


RMIT University

15. Arafat, A. Radio access for LTE-advanced femtocells.

Degree: 2019, RMIT University

 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)

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 December 05, 2020. 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. 05 Dec 2020.

Vancouver:

Arafat A. Radio access for LTE-advanced femtocells. [Internet] [Thesis]. RMIT University; 2019. [cited 2020 Dec 05]. 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


University of Washington

16. Ying, Xuhang. Crowdsensing and Resource Allocation in Shared Spectrum.

Degree: PhD, 2018, University of Washington

 The exponential growth of mobile data services has translated into a proportionate surge in demand for greater wireless broadband capacity. Within today's xed spectrum allocation(more)

Subjects/Keywords: Crowdsensing; Fairness Monitoring; Incentive Mechanism; Radio Mapping; Resource Allocation; Shared Spectrum; Electrical engineering; Electrical engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Ying, X. (2018). Crowdsensing and Resource Allocation in Shared Spectrum. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/42294

Chicago Manual of Style (16th Edition):

Ying, Xuhang. “Crowdsensing and Resource Allocation in Shared Spectrum.” 2018. Doctoral Dissertation, University of Washington. Accessed December 05, 2020. http://hdl.handle.net/1773/42294.

MLA Handbook (7th Edition):

Ying, Xuhang. “Crowdsensing and Resource Allocation in Shared Spectrum.” 2018. Web. 05 Dec 2020.

Vancouver:

Ying X. Crowdsensing and Resource Allocation in Shared Spectrum. [Internet] [Doctoral dissertation]. University of Washington; 2018. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/1773/42294.

Council of Science Editors:

Ying X. Crowdsensing and Resource Allocation in Shared Spectrum. [Doctoral Dissertation]. University of Washington; 2018. Available from: http://hdl.handle.net/1773/42294

17. Maier, Taylor. A Multiple-frequency Transmission Scheduling Scheme for Mesh Networks that Employ Spectrum Sharing.

Degree: MS, Electrical and Computer Engineering (Holcomb Dept. of), 2018, Clemson University

  The reallocation of underutilized spectrum becomes increasingly important as available frequency bands continue to diminish. The Citizens Broadband Radio Service (CBRS) presents spectrum-sharing opportunities,… (more)

Subjects/Keywords: CBRS; Frequency Allocation; Spectrum Sharing

…Introduction At present, frequency allocation is scarce. With the ever-growing prevalence of wireless… …underutilized spectrum allocations. Naturally occurring from this situation is the idea of spectrum… …a spectrum sharing scenario is presented in the FCC’s description of the Citizens… …the spectrum access system (SAS) is implemented. The SAS arbitrates between IUs… …Transmission Model We employ the following model for direct-sequence spread-spectrum modulation to… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Maier, T. (2018). A Multiple-frequency Transmission Scheduling Scheme for Mesh Networks that Employ Spectrum Sharing. (Masters Thesis). Clemson University. Retrieved from https://tigerprints.clemson.edu/all_theses/2927

Chicago Manual of Style (16th Edition):

Maier, Taylor. “A Multiple-frequency Transmission Scheduling Scheme for Mesh Networks that Employ Spectrum Sharing.” 2018. Masters Thesis, Clemson University. Accessed December 05, 2020. https://tigerprints.clemson.edu/all_theses/2927.

MLA Handbook (7th Edition):

Maier, Taylor. “A Multiple-frequency Transmission Scheduling Scheme for Mesh Networks that Employ Spectrum Sharing.” 2018. Web. 05 Dec 2020.

Vancouver:

Maier T. A Multiple-frequency Transmission Scheduling Scheme for Mesh Networks that Employ Spectrum Sharing. [Internet] [Masters thesis]. Clemson University; 2018. [cited 2020 Dec 05]. Available from: https://tigerprints.clemson.edu/all_theses/2927.

Council of Science Editors:

Maier T. A Multiple-frequency Transmission Scheduling Scheme for Mesh Networks that Employ Spectrum Sharing. [Masters Thesis]. Clemson University; 2018. Available from: https://tigerprints.clemson.edu/all_theses/2927


University of Maryland

18. Singh, Vaibhav. Dynamic Resource Allocation in Wireless Heterogeneous Networks.

Degree: Electrical Engineering, 2015, University of Maryland

 Deployment of low power basestations within cellular networks can potentially increase both capacity and coverage. However, such deployments require efficient resource allocation schemes for managing… (more)

Subjects/Keywords: Electrical engineering; Computer science; LTE; Resource allocation; Scheduling; Spectrum Sharing; Submodular optimization; Wireless Heterogeneous networks

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Singh, V. (2015). Dynamic Resource Allocation in Wireless Heterogeneous Networks. (Thesis). University of Maryland. Retrieved from http://hdl.handle.net/1903/18121

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):

Singh, Vaibhav. “Dynamic Resource Allocation in Wireless Heterogeneous Networks.” 2015. Thesis, University of Maryland. Accessed December 05, 2020. http://hdl.handle.net/1903/18121.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Singh, Vaibhav. “Dynamic Resource Allocation in Wireless Heterogeneous Networks.” 2015. Web. 05 Dec 2020.

Vancouver:

Singh V. Dynamic Resource Allocation in Wireless Heterogeneous Networks. [Internet] [Thesis]. University of Maryland; 2015. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/1903/18121.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Singh V. Dynamic Resource Allocation in Wireless Heterogeneous Networks. [Thesis]. University of Maryland; 2015. Available from: http://hdl.handle.net/1903/18121

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Sydney

19. Chen, Youjia. Distributed Resource Allocation And Spectrum Sharing In Future Heterogeneous Wireless Cellular Networks .

Degree: 2017, University of Sydney

 This thesis focuses on the study of Heterogeneous Networks (HetNets), analyzing the system performance and the allocation of available resources, such as serving BSs, spectrum,… (more)

Subjects/Keywords: heterogeneous networks; user association; resource allocation; Small-cell caching; unlicensed spectrum; optimization

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APA (6th Edition):

Chen, Y. (2017). Distributed Resource Allocation And Spectrum Sharing In Future Heterogeneous Wireless Cellular Networks . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/16891

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):

Chen, Youjia. “Distributed Resource Allocation And Spectrum Sharing In Future Heterogeneous Wireless Cellular Networks .” 2017. Thesis, University of Sydney. Accessed December 05, 2020. http://hdl.handle.net/2123/16891.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Chen, Youjia. “Distributed Resource Allocation And Spectrum Sharing In Future Heterogeneous Wireless Cellular Networks .” 2017. Web. 05 Dec 2020.

Vancouver:

Chen Y. Distributed Resource Allocation And Spectrum Sharing In Future Heterogeneous Wireless Cellular Networks . [Internet] [Thesis]. University of Sydney; 2017. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/2123/16891.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Chen Y. Distributed Resource Allocation And Spectrum Sharing In Future Heterogeneous Wireless Cellular Networks . [Thesis]. University of Sydney; 2017. Available from: http://hdl.handle.net/2123/16891

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Oklahoma State University

20. Nakarmi, Ukash. Compressive Spectrum Sensing for Cognitive Radio Networks.

Degree: School of Electrical & Computer Engineering, 2011, Oklahoma State University

Spectrum sensing is the most important part in cognitive radios. Wideband spectrum sensing requires high speed and large data samples. It makes sampling process challenging… (more)

Subjects/Keywords: binary compressive sensing; cognitive radio; compressive sensing; resource allocation; spectrum sensing; wireless communication

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Nakarmi, U. (2011). Compressive Spectrum Sensing for Cognitive Radio Networks. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/10251

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):

Nakarmi, Ukash. “Compressive Spectrum Sensing for Cognitive Radio Networks.” 2011. Thesis, Oklahoma State University. Accessed December 05, 2020. http://hdl.handle.net/11244/10251.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nakarmi, Ukash. “Compressive Spectrum Sensing for Cognitive Radio Networks.” 2011. Web. 05 Dec 2020.

Vancouver:

Nakarmi U. Compressive Spectrum Sensing for Cognitive Radio Networks. [Internet] [Thesis]. Oklahoma State University; 2011. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/11244/10251.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nakarmi U. Compressive Spectrum Sensing for Cognitive Radio Networks. [Thesis]. Oklahoma State University; 2011. Available from: http://hdl.handle.net/11244/10251

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Pretoria

21. Barnes, Simon Daniel. Cognitive radio performance optimisation through spectrum availability prediction .

Degree: 2012, University of Pretoria

 The federal communications commission (FCC) has predicted that, under the current regulatory environment, a spectrum shortage may be faced in the near future. This impending… (more)

Subjects/Keywords: Training algorithm complexity; Traffic density; Spectrum sensing; Spectrum measurements; Secondary user performance; Channel switching; Cognitive radio; Occupancy modelling; Opportunistic spectrum allocation; Prediction accuracy; UCTD

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APA (6th Edition):

Barnes, S. D. (2012). Cognitive radio performance optimisation through spectrum availability prediction . (Masters Thesis). University of Pretoria. Retrieved from http://upetd.up.ac.za/thesis/available/etd-06272012-184819/

Chicago Manual of Style (16th Edition):

Barnes, Simon Daniel. “Cognitive radio performance optimisation through spectrum availability prediction .” 2012. Masters Thesis, University of Pretoria. Accessed December 05, 2020. http://upetd.up.ac.za/thesis/available/etd-06272012-184819/.

MLA Handbook (7th Edition):

Barnes, Simon Daniel. “Cognitive radio performance optimisation through spectrum availability prediction .” 2012. Web. 05 Dec 2020.

Vancouver:

Barnes SD. Cognitive radio performance optimisation through spectrum availability prediction . [Internet] [Masters thesis]. University of Pretoria; 2012. [cited 2020 Dec 05]. Available from: http://upetd.up.ac.za/thesis/available/etd-06272012-184819/.

Council of Science Editors:

Barnes SD. Cognitive radio performance optimisation through spectrum availability prediction . [Masters Thesis]. University of Pretoria; 2012. Available from: http://upetd.up.ac.za/thesis/available/etd-06272012-184819/


University of Pretoria

22. Barnes, Simon Daniel. Cognitive radio performance optimisation through spectrum availability prediction.

Degree: Electrical, Electronic and Computer Engineering, 2012, University of Pretoria

 The federal communications commission (FCC) has predicted that, under the current regulatory environment, a spectrum shortage may be faced in the near future. This impending… (more)

Subjects/Keywords: Training algorithm complexity; Traffic density; Spectrum sensing; Spectrum measurements; Secondary user performance; Channel switching; Cognitive radio (CR); Occupancy modelling; Opportunistic spectrum allocation; Prediction accuracy; UCTD

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Barnes, S. D. (2012). Cognitive radio performance optimisation through spectrum availability prediction. (Masters Thesis). University of Pretoria. Retrieved from http://hdl.handle.net/2263/25908

Chicago Manual of Style (16th Edition):

Barnes, Simon Daniel. “Cognitive radio performance optimisation through spectrum availability prediction.” 2012. Masters Thesis, University of Pretoria. Accessed December 05, 2020. http://hdl.handle.net/2263/25908.

MLA Handbook (7th Edition):

Barnes, Simon Daniel. “Cognitive radio performance optimisation through spectrum availability prediction.” 2012. Web. 05 Dec 2020.

Vancouver:

Barnes SD. Cognitive radio performance optimisation through spectrum availability prediction. [Internet] [Masters thesis]. University of Pretoria; 2012. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/2263/25908.

Council of Science Editors:

Barnes SD. Cognitive radio performance optimisation through spectrum availability prediction. [Masters Thesis]. University of Pretoria; 2012. Available from: http://hdl.handle.net/2263/25908

23. Shakya, Sunny. Management of Spectral Resources in Elastic Optical Networks.

Degree: PhD, Computer Science, 2015, Georgia State University

  Recent developments in the area of mobile technologies, data center networks, cloud computing and social networks have triggered the growth of a wide range… (more)

Subjects/Keywords: Elastic Optical Networks; Flex-Grid networks; Spectrum-sliced elastic optical networks; Routing and Spectrum Allocation; Spectrum fragmentation; Network virtualization; Virtual network reconfiguration

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Shakya, S. (2015). Management of Spectral Resources in Elastic Optical Networks. (Doctoral Dissertation). Georgia State University. Retrieved from https://scholarworks.gsu.edu/cs_diss/99

Chicago Manual of Style (16th Edition):

Shakya, Sunny. “Management of Spectral Resources in Elastic Optical Networks.” 2015. Doctoral Dissertation, Georgia State University. Accessed December 05, 2020. https://scholarworks.gsu.edu/cs_diss/99.

MLA Handbook (7th Edition):

Shakya, Sunny. “Management of Spectral Resources in Elastic Optical Networks.” 2015. Web. 05 Dec 2020.

Vancouver:

Shakya S. Management of Spectral Resources in Elastic Optical Networks. [Internet] [Doctoral dissertation]. Georgia State University; 2015. [cited 2020 Dec 05]. Available from: https://scholarworks.gsu.edu/cs_diss/99.

Council of Science Editors:

Shakya S. Management of Spectral Resources in Elastic Optical Networks. [Doctoral Dissertation]. Georgia State University; 2015. Available from: https://scholarworks.gsu.edu/cs_diss/99

24. Gaveau, Jérôme. Allocation des Ressources pour la Gestion Dynamique du Spectre dans les Réseaux Ad hoc Clustérisés : Resources Allocation for Dynamic Spectrum Management in Clustered Ad hoc Networks.

Degree: Docteur es, Réseaux, information et communications, 2018, Université Paris-Saclay (ComUE)

L’objectif de cette thèse concerne l’allocation des canaux fréquentiels dans les réseaux ad hoc organisés en clusters. Les terminaux du réseau sont assemblés localement en… (more)

Subjects/Keywords: Allocation des ressources; Réseaux ad hoc; Gestion du spectre; Apprentissage sans modèle; OFDM; Resources allocation; Ad hoc networks; Spectrum management; Model-free learning; OFDM

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APA (6th Edition):

Gaveau, J. (2018). Allocation des Ressources pour la Gestion Dynamique du Spectre dans les Réseaux Ad hoc Clustérisés : Resources Allocation for Dynamic Spectrum Management in Clustered Ad hoc Networks. (Doctoral Dissertation). Université Paris-Saclay (ComUE). Retrieved from http://www.theses.fr/2018SACLC060

Chicago Manual of Style (16th Edition):

Gaveau, Jérôme. “Allocation des Ressources pour la Gestion Dynamique du Spectre dans les Réseaux Ad hoc Clustérisés : Resources Allocation for Dynamic Spectrum Management in Clustered Ad hoc Networks.” 2018. Doctoral Dissertation, Université Paris-Saclay (ComUE). Accessed December 05, 2020. http://www.theses.fr/2018SACLC060.

MLA Handbook (7th Edition):

Gaveau, Jérôme. “Allocation des Ressources pour la Gestion Dynamique du Spectre dans les Réseaux Ad hoc Clustérisés : Resources Allocation for Dynamic Spectrum Management in Clustered Ad hoc Networks.” 2018. Web. 05 Dec 2020.

Vancouver:

Gaveau J. Allocation des Ressources pour la Gestion Dynamique du Spectre dans les Réseaux Ad hoc Clustérisés : Resources Allocation for Dynamic Spectrum Management in Clustered Ad hoc Networks. [Internet] [Doctoral dissertation]. Université Paris-Saclay (ComUE); 2018. [cited 2020 Dec 05]. Available from: http://www.theses.fr/2018SACLC060.

Council of Science Editors:

Gaveau J. Allocation des Ressources pour la Gestion Dynamique du Spectre dans les Réseaux Ad hoc Clustérisés : Resources Allocation for Dynamic Spectrum Management in Clustered Ad hoc Networks. [Doctoral Dissertation]. Université Paris-Saclay (ComUE); 2018. Available from: http://www.theses.fr/2018SACLC060


Texas A&M University

25. Ekin, Sabit 1981-. Random Subcarrier Allocation in OFDM-Based Cognitive Radio Networks and Hyper Fading Channels.

Degree: PhD, Electrical Engineering, 2012, Texas A&M University

 Advances in communications technologies entail demands for higher data rates. One of the popular solutions to fulfill this requirement was to allocate additional bandwidth, which… (more)

Subjects/Keywords: hyper fading channels; interference spreading; spectrum sharing systems; OFDM-based cognitive radio; subcarrier collisions; Random subcarrier allocation

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APA (6th Edition):

Ekin, S. 1. (2012). Random Subcarrier Allocation in OFDM-Based Cognitive Radio Networks and Hyper Fading Channels. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/148142

Chicago Manual of Style (16th Edition):

Ekin, Sabit 1981-. “Random Subcarrier Allocation in OFDM-Based Cognitive Radio Networks and Hyper Fading Channels.” 2012. Doctoral Dissertation, Texas A&M University. Accessed December 05, 2020. http://hdl.handle.net/1969.1/148142.

MLA Handbook (7th Edition):

Ekin, Sabit 1981-. “Random Subcarrier Allocation in OFDM-Based Cognitive Radio Networks and Hyper Fading Channels.” 2012. Web. 05 Dec 2020.

Vancouver:

Ekin S1. Random Subcarrier Allocation in OFDM-Based Cognitive Radio Networks and Hyper Fading Channels. [Internet] [Doctoral dissertation]. Texas A&M University; 2012. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/1969.1/148142.

Council of Science Editors:

Ekin S1. Random Subcarrier Allocation in OFDM-Based Cognitive Radio Networks and Hyper Fading Channels. [Doctoral Dissertation]. Texas A&M University; 2012. Available from: http://hdl.handle.net/1969.1/148142


Brunel University

26. Al-Rubaye, Saba. Radio network management in cognitive LTE-femtocell Systems.

Degree: PhD, 2013, Brunel University

 There is a strong uptake of femtocell deployment as small cell application platforms in the upcoming LTE networks. In such two-tier networks of LTE-femtocell base… (more)

Subjects/Keywords: 621.3845; Wireless systems; Resource allocation management; Macro and small cells networks; Green future networks; Spectrum utilisation

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APA (6th Edition):

Al-Rubaye, S. (2013). Radio network management in cognitive LTE-femtocell Systems. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/11827 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.678927

Chicago Manual of Style (16th Edition):

Al-Rubaye, Saba. “Radio network management in cognitive LTE-femtocell Systems.” 2013. Doctoral Dissertation, Brunel University. Accessed December 05, 2020. http://bura.brunel.ac.uk/handle/2438/11827 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.678927.

MLA Handbook (7th Edition):

Al-Rubaye, Saba. “Radio network management in cognitive LTE-femtocell Systems.” 2013. Web. 05 Dec 2020.

Vancouver:

Al-Rubaye S. Radio network management in cognitive LTE-femtocell Systems. [Internet] [Doctoral dissertation]. Brunel University; 2013. [cited 2020 Dec 05]. Available from: http://bura.brunel.ac.uk/handle/2438/11827 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.678927.

Council of Science Editors:

Al-Rubaye S. Radio network management in cognitive LTE-femtocell Systems. [Doctoral Dissertation]. Brunel University; 2013. Available from: http://bura.brunel.ac.uk/handle/2438/11827 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.678927


Iowa State University

27. Alnabelsi, Sharhabeel Hassan. On spectrum allocation strategies in Cognitive Radio Networks.

Degree: 2012, Iowa State University

 Due to the temporal and spatial underutilization of licensed spectrum bands, as well as the crowdedness of unlicensed bands, a new spectrum access paradigm has… (more)

Subjects/Keywords: Cognitive Radio Networks; Packet Recovery; Performance Modeling; Physical Layer Network Coding; Spectrum Allocation; Steiner Routing Tree; Computer Engineering

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APA (6th Edition):

Alnabelsi, S. H. (2012). On spectrum allocation strategies in Cognitive Radio Networks. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/12942

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):

Alnabelsi, Sharhabeel Hassan. “On spectrum allocation strategies in Cognitive Radio Networks.” 2012. Thesis, Iowa State University. Accessed December 05, 2020. https://lib.dr.iastate.edu/etd/12942.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Alnabelsi, Sharhabeel Hassan. “On spectrum allocation strategies in Cognitive Radio Networks.” 2012. Web. 05 Dec 2020.

Vancouver:

Alnabelsi SH. On spectrum allocation strategies in Cognitive Radio Networks. [Internet] [Thesis]. Iowa State University; 2012. [cited 2020 Dec 05]. Available from: https://lib.dr.iastate.edu/etd/12942.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Alnabelsi SH. On spectrum allocation strategies in Cognitive Radio Networks. [Thesis]. Iowa State University; 2012. Available from: https://lib.dr.iastate.edu/etd/12942

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Arizona State University

28. Ferrari, Lorenzo. Techniques for Decentralized and Dynamic Resource Allocation.

Degree: Electrical Engineering, 2017, Arizona State University

Subjects/Keywords: Electrical engineering; resource allocation; scheduling; spectrum sensing; synchronization

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APA (6th Edition):

Ferrari, L. (2017). Techniques for Decentralized and Dynamic Resource Allocation. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/46267

Chicago Manual of Style (16th Edition):

Ferrari, Lorenzo. “Techniques for Decentralized and Dynamic Resource Allocation.” 2017. Doctoral Dissertation, Arizona State University. Accessed December 05, 2020. http://repository.asu.edu/items/46267.

MLA Handbook (7th Edition):

Ferrari, Lorenzo. “Techniques for Decentralized and Dynamic Resource Allocation.” 2017. Web. 05 Dec 2020.

Vancouver:

Ferrari L. Techniques for Decentralized and Dynamic Resource Allocation. [Internet] [Doctoral dissertation]. Arizona State University; 2017. [cited 2020 Dec 05]. Available from: http://repository.asu.edu/items/46267.

Council of Science Editors:

Ferrari L. Techniques for Decentralized and Dynamic Resource Allocation. [Doctoral Dissertation]. Arizona State University; 2017. Available from: http://repository.asu.edu/items/46267


Virginia Tech

29. Ghorbanzadeh, Mohammad. Resource Allocation and End-to-End Quality of Service for Cellular Communications Systems in Congested and Contested Environments.

Degree: PhD, Electrical Engineering, 2015, Virginia Tech

 This research addresses the concept of radio resource allocation for cellular communications systems operating in congested and contested environments with an emphasis on end-to-end quality… (more)

Subjects/Keywords: Resource Allocation; Radio Resource Blocks; Discrete Optimization; Quality of Service (QoS); Secure Auctions; LTE; Convex Optimization; Radar Spectrum Sharing; Channel Conditions.

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APA (6th Edition):

Ghorbanzadeh, M. (2015). Resource Allocation and End-to-End Quality of Service for Cellular Communications Systems in Congested and Contested Environments. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/64390

Chicago Manual of Style (16th Edition):

Ghorbanzadeh, Mohammad. “Resource Allocation and End-to-End Quality of Service for Cellular Communications Systems in Congested and Contested Environments.” 2015. Doctoral Dissertation, Virginia Tech. Accessed December 05, 2020. http://hdl.handle.net/10919/64390.

MLA Handbook (7th Edition):

Ghorbanzadeh, Mohammad. “Resource Allocation and End-to-End Quality of Service for Cellular Communications Systems in Congested and Contested Environments.” 2015. Web. 05 Dec 2020.

Vancouver:

Ghorbanzadeh M. Resource Allocation and End-to-End Quality of Service for Cellular Communications Systems in Congested and Contested Environments. [Internet] [Doctoral dissertation]. Virginia Tech; 2015. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/10919/64390.

Council of Science Editors:

Ghorbanzadeh M. Resource Allocation and End-to-End Quality of Service for Cellular Communications Systems in Congested and Contested Environments. [Doctoral Dissertation]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/64390


Virginia Tech

30. Shatila, Hazem Sarwat. Adaptive Radio Resource Management in Cognitive Radio Communications using Fuzzy Reasoning.

Degree: PhD, Electrical and Computer Engineering, 2012, Virginia Tech

 As wireless technologies evolve, novel innovations and concepts are required to dynamically and automatically alter various radio parameters in accordance with the radio environment. These… (more)

Subjects/Keywords: WiMAX; cognitive engine; Wireless broadband; cognitive radio; opportunistic decision making.; dynamic spectrum allocation; fuzzy C-mean clustering (FCM); fuzzy logic

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APA (6th Edition):

Shatila, H. S. (2012). Adaptive Radio Resource Management in Cognitive Radio Communications using Fuzzy Reasoning. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/26618

Chicago Manual of Style (16th Edition):

Shatila, Hazem Sarwat. “Adaptive Radio Resource Management in Cognitive Radio Communications using Fuzzy Reasoning.” 2012. Doctoral Dissertation, Virginia Tech. Accessed December 05, 2020. http://hdl.handle.net/10919/26618.

MLA Handbook (7th Edition):

Shatila, Hazem Sarwat. “Adaptive Radio Resource Management in Cognitive Radio Communications using Fuzzy Reasoning.” 2012. Web. 05 Dec 2020.

Vancouver:

Shatila HS. Adaptive Radio Resource Management in Cognitive Radio Communications using Fuzzy Reasoning. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2020 Dec 05]. Available from: http://hdl.handle.net/10919/26618.

Council of Science Editors:

Shatila HS. Adaptive Radio Resource Management in Cognitive Radio Communications using Fuzzy Reasoning. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/26618

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