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You searched for subject:(Spectrum sensing). Showing records 1 – 30 of 265 total matches.

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University of Ontario Institute of Technology

1. Mohammed, Ola Ashour. Spectrum sensing based on capon power spectral density estimation.

Degree: 2015, University of Ontario Institute of Technology

 Cognitive radio (CR) technology has evolved to solve the spectrum scarcity problem and improve spectrum utilization. Spectrum sensing is a CR function that allows secondary… (more)

Subjects/Keywords: Spectrum holes; Cognitive radio; Spectrum sensing

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APA (6th Edition):

Mohammed, O. A. (2015). Spectrum sensing based on capon power spectral density estimation. (Thesis). University of Ontario Institute of Technology. Retrieved from http://hdl.handle.net/10155/529

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):

Mohammed, Ola Ashour. “Spectrum sensing based on capon power spectral density estimation.” 2015. Thesis, University of Ontario Institute of Technology. Accessed February 25, 2020. http://hdl.handle.net/10155/529.

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

MLA Handbook (7th Edition):

Mohammed, Ola Ashour. “Spectrum sensing based on capon power spectral density estimation.” 2015. Web. 25 Feb 2020.

Vancouver:

Mohammed OA. Spectrum sensing based on capon power spectral density estimation. [Internet] [Thesis]. University of Ontario Institute of Technology; 2015. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/10155/529.

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

Council of Science Editors:

Mohammed OA. Spectrum sensing based on capon power spectral density estimation. [Thesis]. University of Ontario Institute of Technology; 2015. Available from: http://hdl.handle.net/10155/529

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


Queens University

2. Akhavan Astaneh, Saeed. Management and Sensing of Spectrum in Cognitive Radio .

Degree: Mathematics and Statistics, 2013, Queens University

 Under the contemporary spectrum usage regulations, radio frequency bands are allocated statically to licensed users in a large geographical area and over a long period… (more)

Subjects/Keywords: Cognitive Radio; Spectrum Management; Spectrum Sensing

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APA (6th Edition):

Akhavan Astaneh, S. (2013). Management and Sensing of Spectrum in Cognitive Radio . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/8065

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):

Akhavan Astaneh, Saeed. “Management and Sensing of Spectrum in Cognitive Radio .” 2013. Thesis, Queens University. Accessed February 25, 2020. http://hdl.handle.net/1974/8065.

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

MLA Handbook (7th Edition):

Akhavan Astaneh, Saeed. “Management and Sensing of Spectrum in Cognitive Radio .” 2013. Web. 25 Feb 2020.

Vancouver:

Akhavan Astaneh S. Management and Sensing of Spectrum in Cognitive Radio . [Internet] [Thesis]. Queens University; 2013. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1974/8065.

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

Council of Science Editors:

Akhavan Astaneh S. Management and Sensing of Spectrum in Cognitive Radio . [Thesis]. Queens University; 2013. Available from: http://hdl.handle.net/1974/8065

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

3. Kozal, Ahmed Sultan Bilal. Multi user cooperation spectrum sensing in wireless cognitive radio networks.

Degree: PhD, 2015, Liverpool John Moores University

 With the rapid proliferation of new wireless communication devices and services, the demand for the radio spectrum is increasing at a rapid rate, which leads… (more)

Subjects/Keywords: 621.384; Cognitive radio networks, spectrum sensing, energy detection, cooperative spectrum sensing, cluster based spectrum sensing

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APA (6th Edition):

Kozal, A. S. B. (2015). Multi user cooperation spectrum sensing in wireless cognitive radio networks. (Doctoral Dissertation). Liverpool John Moores University. Retrieved from http://researchonline.ljmu.ac.uk/id/eprint/4474/ ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.658129

Chicago Manual of Style (16th Edition):

Kozal, Ahmed Sultan Bilal. “Multi user cooperation spectrum sensing in wireless cognitive radio networks.” 2015. Doctoral Dissertation, Liverpool John Moores University. Accessed February 25, 2020. http://researchonline.ljmu.ac.uk/id/eprint/4474/ ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.658129.

MLA Handbook (7th Edition):

Kozal, Ahmed Sultan Bilal. “Multi user cooperation spectrum sensing in wireless cognitive radio networks.” 2015. Web. 25 Feb 2020.

Vancouver:

Kozal ASB. Multi user cooperation spectrum sensing in wireless cognitive radio networks. [Internet] [Doctoral dissertation]. Liverpool John Moores University; 2015. [cited 2020 Feb 25]. Available from: http://researchonline.ljmu.ac.uk/id/eprint/4474/ ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.658129.

Council of Science Editors:

Kozal ASB. Multi user cooperation spectrum sensing in wireless cognitive radio networks. [Doctoral Dissertation]. Liverpool John Moores University; 2015. Available from: http://researchonline.ljmu.ac.uk/id/eprint/4474/ ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.658129


University of Notre Dame

4. Mingming Cai. Design and Implementation of a Distributed Spectrum Access System</h1>.

Degree: MS, Electrical Engineering, 2014, University of Notre Dame

  In a dynamic spectrum access system, radios seek robust communications in a communication channel with unknown interfering signals. Cooperative distributed spectrum access radios provide… (more)

Subjects/Keywords: Spectrum Sensing; Packet Management; TDD

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APA (6th Edition):

Cai, M. (2014). Design and Implementation of a Distributed Spectrum Access System</h1>. (Masters Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/2v23vt16v3c

Chicago Manual of Style (16th Edition):

Cai, Mingming. “Design and Implementation of a Distributed Spectrum Access System</h1>.” 2014. Masters Thesis, University of Notre Dame. Accessed February 25, 2020. https://curate.nd.edu/show/2v23vt16v3c.

MLA Handbook (7th Edition):

Cai, Mingming. “Design and Implementation of a Distributed Spectrum Access System</h1>.” 2014. Web. 25 Feb 2020.

Vancouver:

Cai M. Design and Implementation of a Distributed Spectrum Access System</h1>. [Internet] [Masters thesis]. University of Notre Dame; 2014. [cited 2020 Feb 25]. Available from: https://curate.nd.edu/show/2v23vt16v3c.

Council of Science Editors:

Cai M. Design and Implementation of a Distributed Spectrum Access System</h1>. [Masters Thesis]. University of Notre Dame; 2014. Available from: https://curate.nd.edu/show/2v23vt16v3c


NSYSU

5. Gao, Jian-lang. A Distributed Detection Scheme by Combining Energy Detectors and Cyclostationarity-Based Detectors for Power Spectrum Sensing in Cognitive Radio.

Degree: Master, Communications Engineering, 2009, NSYSU

 In this thesis, the problem of spectrum sensing in cognitive radio communication networks is considered. This thesis has developed a robust decision fusion scheme that… (more)

Subjects/Keywords: cognitive; fusion center; spectrum sensing

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APA (6th Edition):

Gao, J. (2009). A Distributed Detection Scheme by Combining Energy Detectors and Cyclostationarity-Based Detectors for Power Spectrum Sensing in Cognitive Radio. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0701109-144206

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):

Gao, Jian-lang. “A Distributed Detection Scheme by Combining Energy Detectors and Cyclostationarity-Based Detectors for Power Spectrum Sensing in Cognitive Radio.” 2009. Thesis, NSYSU. Accessed February 25, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0701109-144206.

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

MLA Handbook (7th Edition):

Gao, Jian-lang. “A Distributed Detection Scheme by Combining Energy Detectors and Cyclostationarity-Based Detectors for Power Spectrum Sensing in Cognitive Radio.” 2009. Web. 25 Feb 2020.

Vancouver:

Gao J. A Distributed Detection Scheme by Combining Energy Detectors and Cyclostationarity-Based Detectors for Power Spectrum Sensing in Cognitive Radio. [Internet] [Thesis]. NSYSU; 2009. [cited 2020 Feb 25]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0701109-144206.

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

Council of Science Editors:

Gao J. A Distributed Detection Scheme by Combining Energy Detectors and Cyclostationarity-Based Detectors for Power Spectrum Sensing in Cognitive Radio. [Thesis]. NSYSU; 2009. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0701109-144206

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


King Abdullah University of Science and Technology

6. Mirza, Mohammed. High Resolution Robust GPS-free Localization for Wireless Sensor Networks and its Applications.

Degree: 2011, King Abdullah University of Science and Technology

 In this thesis we investigate the problem of robustness and scalability w.r.t. estimating the position of randomly deployed motes/nodes of a Wireless Sensor Network (WSN)… (more)

Subjects/Keywords: Localization; Positioning; spectrum sensing

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APA (6th Edition):

Mirza, M. (2011). High Resolution Robust GPS-free Localization for Wireless Sensor Networks and its Applications. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/225231

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):

Mirza, Mohammed. “High Resolution Robust GPS-free Localization for Wireless Sensor Networks and its Applications.” 2011. Thesis, King Abdullah University of Science and Technology. Accessed February 25, 2020. http://hdl.handle.net/10754/225231.

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

MLA Handbook (7th Edition):

Mirza, Mohammed. “High Resolution Robust GPS-free Localization for Wireless Sensor Networks and its Applications.” 2011. Web. 25 Feb 2020.

Vancouver:

Mirza M. High Resolution Robust GPS-free Localization for Wireless Sensor Networks and its Applications. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2011. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/10754/225231.

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

Council of Science Editors:

Mirza M. High Resolution Robust GPS-free Localization for Wireless Sensor Networks and its Applications. [Thesis]. King Abdullah University of Science and Technology; 2011. Available from: http://hdl.handle.net/10754/225231

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


Oklahoma State University

7. Kelkar, Aditya. Spectrum Sensing Scheduling in Cognitive Radio Networks.

Degree: School of Electrical & Computer Engineering, 2012, Oklahoma State University

 In cognitive radio (CR) networks, spectrum sensing has gained great importance for opportunistic spectrum access. There are many factors that affect the efficiency of spectrum(more)

Subjects/Keywords: cognitive radio; scheduling; spectrum sensing

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APA (6th Edition):

Kelkar, A. (2012). Spectrum Sensing Scheduling in Cognitive Radio Networks. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/10227

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):

Kelkar, Aditya. “Spectrum Sensing Scheduling in Cognitive Radio Networks.” 2012. Thesis, Oklahoma State University. Accessed February 25, 2020. http://hdl.handle.net/11244/10227.

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

MLA Handbook (7th Edition):

Kelkar, Aditya. “Spectrum Sensing Scheduling in Cognitive Radio Networks.” 2012. Web. 25 Feb 2020.

Vancouver:

Kelkar A. Spectrum Sensing Scheduling in Cognitive Radio Networks. [Internet] [Thesis]. Oklahoma State University; 2012. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/11244/10227.

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

Council of Science Editors:

Kelkar A. Spectrum Sensing Scheduling in Cognitive Radio Networks. [Thesis]. Oklahoma State University; 2012. Available from: http://hdl.handle.net/11244/10227

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


University of Edinburgh

8. Sun, Hongjian. Collaborative spectrum sensing in cognitive radio networks.

Degree: PhD, 2011, University of Edinburgh

 The radio frequency (RF) spectrum is a scarce natural resource, currently regulated by government agencies. With the explosive emergence of wireless applications, the demands for… (more)

Subjects/Keywords: 621.382; spectrum sensing; cognitive radio

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APA (6th Edition):

Sun, H. (2011). Collaborative spectrum sensing in cognitive radio networks. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/4879

Chicago Manual of Style (16th Edition):

Sun, Hongjian. “Collaborative spectrum sensing in cognitive radio networks.” 2011. Doctoral Dissertation, University of Edinburgh. Accessed February 25, 2020. http://hdl.handle.net/1842/4879.

MLA Handbook (7th Edition):

Sun, Hongjian. “Collaborative spectrum sensing in cognitive radio networks.” 2011. Web. 25 Feb 2020.

Vancouver:

Sun H. Collaborative spectrum sensing in cognitive radio networks. [Internet] [Doctoral dissertation]. University of Edinburgh; 2011. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1842/4879.

Council of Science Editors:

Sun H. Collaborative spectrum sensing in cognitive radio networks. [Doctoral Dissertation]. University of Edinburgh; 2011. Available from: http://hdl.handle.net/1842/4879


Queens University

9. Liang, Che Kang. Spectrum Sensing of Multiple Channels Using Multiple Sensors .

Degree: Electrical and Computer Engineering, 2011, Queens University

 Cognitive radio (CR) is a class of wireless communication technologies that have the ability to learn from the surrounding radio environment and the intelligence to… (more)

Subjects/Keywords: sequential analysis; spectrum sensing

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APA (6th Edition):

Liang, C. K. (2011). Spectrum Sensing of Multiple Channels Using Multiple Sensors . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/6883

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):

Liang, Che Kang. “Spectrum Sensing of Multiple Channels Using Multiple Sensors .” 2011. Thesis, Queens University. Accessed February 25, 2020. http://hdl.handle.net/1974/6883.

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

MLA Handbook (7th Edition):

Liang, Che Kang. “Spectrum Sensing of Multiple Channels Using Multiple Sensors .” 2011. Web. 25 Feb 2020.

Vancouver:

Liang CK. Spectrum Sensing of Multiple Channels Using Multiple Sensors . [Internet] [Thesis]. Queens University; 2011. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1974/6883.

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

Council of Science Editors:

Liang CK. Spectrum Sensing of Multiple Channels Using Multiple Sensors . [Thesis]. Queens University; 2011. Available from: http://hdl.handle.net/1974/6883

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

10. [email protected], Sajid Mahmood /. Priority Queuing Based Spectrum sensing Methodology in Cognitive Radio Network.

Degree: 2011, , School of Engineering

Radio spectrum is becoming scarce resource due to increase in the usage of wireless communication devices. However studies have revealed that most of the… (more)

Subjects/Keywords: Cognitive radio Networks; Radio Spectrum Management; Spectrum Sensing; Spectrum Mobility

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APA (6th Edition):

[email protected], S. M. /. (2011). Priority Queuing Based Spectrum sensing Methodology in Cognitive Radio Network. (Thesis). , School of Engineering. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3219

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):

[email protected], Sajid Mahmood /. “Priority Queuing Based Spectrum sensing Methodology in Cognitive Radio Network.” 2011. Thesis, , School of Engineering. Accessed February 25, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3219.

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

MLA Handbook (7th Edition):

[email protected], Sajid Mahmood /. “Priority Queuing Based Spectrum sensing Methodology in Cognitive Radio Network.” 2011. Web. 25 Feb 2020.

Vancouver:

[email protected] SM/. Priority Queuing Based Spectrum sensing Methodology in Cognitive Radio Network. [Internet] [Thesis]. , School of Engineering; 2011. [cited 2020 Feb 25]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3219.

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

Council of Science Editors:

[email protected] SM/. Priority Queuing Based Spectrum sensing Methodology in Cognitive Radio Network. [Thesis]. , School of Engineering; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3219

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


University of Victoria

11. Shaghluf, Nagwa. Cooperative spectrum prediction for improved efficiency of cognitive radio networks.

Degree: Department of Electrical and Computer Engineering, 2018, University of Victoria

 In this thesis, the spectrum and energy efficiency of cooperative spectrum prediction (CSP) in cognitive radio networks are investigated. In addition, the performance of CSP… (more)

Subjects/Keywords: Spectrum sensing; Cognitive Radio; Single spectrum prediction; Cooperative spectrum prediction; Energy efficiency; Spectrum efficiency

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APA (6th Edition):

Shaghluf, N. (2018). Cooperative spectrum prediction for improved efficiency of cognitive radio networks. (Masters Thesis). University of Victoria. Retrieved from https://dspace.library.uvic.ca//handle/1828/8986

Chicago Manual of Style (16th Edition):

Shaghluf, Nagwa. “Cooperative spectrum prediction for improved efficiency of cognitive radio networks.” 2018. Masters Thesis, University of Victoria. Accessed February 25, 2020. https://dspace.library.uvic.ca//handle/1828/8986.

MLA Handbook (7th Edition):

Shaghluf, Nagwa. “Cooperative spectrum prediction for improved efficiency of cognitive radio networks.” 2018. Web. 25 Feb 2020.

Vancouver:

Shaghluf N. Cooperative spectrum prediction for improved efficiency of cognitive radio networks. [Internet] [Masters thesis]. University of Victoria; 2018. [cited 2020 Feb 25]. Available from: https://dspace.library.uvic.ca//handle/1828/8986.

Council of Science Editors:

Shaghluf N. Cooperative spectrum prediction for improved efficiency of cognitive radio networks. [Masters Thesis]. University of Victoria; 2018. Available from: https://dspace.library.uvic.ca//handle/1828/8986


Georgia Tech

12. Lu, Lu. Spectral-efficient design in modern wireless communications networks.

Degree: PhD, Electrical and Computer Engineering, 2015, Georgia Tech

 We investigate spectral-efficient design and develop novel schemes to improve spectral efficiency of the modern wireless communications networks. Nowadays, more and more spectrum resources are… (more)

Subjects/Keywords: Wireless communications; Cognitive radio; Spectral efficiency; Spectrum sensing; Spectrum access mode; Spectrum overlay; Spectrum underlay

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APA (6th Edition):

Lu, L. (2015). Spectral-efficient design in modern wireless communications networks. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/53902

Chicago Manual of Style (16th Edition):

Lu, Lu. “Spectral-efficient design in modern wireless communications networks.” 2015. Doctoral Dissertation, Georgia Tech. Accessed February 25, 2020. http://hdl.handle.net/1853/53902.

MLA Handbook (7th Edition):

Lu, Lu. “Spectral-efficient design in modern wireless communications networks.” 2015. Web. 25 Feb 2020.

Vancouver:

Lu L. Spectral-efficient design in modern wireless communications networks. [Internet] [Doctoral dissertation]. Georgia Tech; 2015. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1853/53902.

Council of Science Editors:

Lu L. Spectral-efficient design in modern wireless communications networks. [Doctoral Dissertation]. Georgia Tech; 2015. Available from: http://hdl.handle.net/1853/53902


University of Alberta

13. 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 February 25, 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. 25 Feb 2020.

Vancouver:

Fan R. Optimal Spectrum Sensing and Resource Allocation in Cognitive Radio. [Internet] [Doctoral dissertation]. University of Alberta; 2012. [cited 2020 Feb 25]. 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


University of Oulu

14. Vartiainen, J. (Johanna). Concentrated signal extraction using consecutive mean excision algorithms.

Degree: 2010, University of Oulu

 Abstract Spread spectrum communication systems may be affected by other types of signals called outliers. These coexisting signals are typically narrow (or concentrated) in the… (more)

Subjects/Keywords: interference suppression; signal detection; spectrum sensing

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APA (6th Edition):

Vartiainen, J. (. (2010). Concentrated signal extraction using consecutive mean excision algorithms. (Doctoral Dissertation). University of Oulu. Retrieved from http://urn.fi/urn:isbn:9789514263491

Chicago Manual of Style (16th Edition):

Vartiainen, J (Johanna). “Concentrated signal extraction using consecutive mean excision algorithms.” 2010. Doctoral Dissertation, University of Oulu. Accessed February 25, 2020. http://urn.fi/urn:isbn:9789514263491.

MLA Handbook (7th Edition):

Vartiainen, J (Johanna). “Concentrated signal extraction using consecutive mean excision algorithms.” 2010. Web. 25 Feb 2020.

Vancouver:

Vartiainen J(. Concentrated signal extraction using consecutive mean excision algorithms. [Internet] [Doctoral dissertation]. University of Oulu; 2010. [cited 2020 Feb 25]. Available from: http://urn.fi/urn:isbn:9789514263491.

Council of Science Editors:

Vartiainen J(. Concentrated signal extraction using consecutive mean excision algorithms. [Doctoral Dissertation]. University of Oulu; 2010. Available from: http://urn.fi/urn:isbn:9789514263491


UCLA

15. Yu, Tsung-Han. Energy-Efficient VLSI Signal Processing for Wideband Spectrum Sensing in Cognitive Radios.

Degree: Electrical Engineering, 2013, UCLA

 With the rapid increases in the number of wireless devices, fixed spectrum allocation has shown to be a major limitation to the evolution of wireless… (more)

Subjects/Keywords: Engineering; cognitive radios; FFT; spectrum sensing; VLSI

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APA (6th Edition):

Yu, T. (2013). Energy-Efficient VLSI Signal Processing for Wideband Spectrum Sensing in Cognitive Radios. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/3dc5f3dq

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):

Yu, Tsung-Han. “Energy-Efficient VLSI Signal Processing for Wideband Spectrum Sensing in Cognitive Radios.” 2013. Thesis, UCLA. Accessed February 25, 2020. http://www.escholarship.org/uc/item/3dc5f3dq.

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

MLA Handbook (7th Edition):

Yu, Tsung-Han. “Energy-Efficient VLSI Signal Processing for Wideband Spectrum Sensing in Cognitive Radios.” 2013. Web. 25 Feb 2020.

Vancouver:

Yu T. Energy-Efficient VLSI Signal Processing for Wideband Spectrum Sensing in Cognitive Radios. [Internet] [Thesis]. UCLA; 2013. [cited 2020 Feb 25]. Available from: http://www.escholarship.org/uc/item/3dc5f3dq.

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

Council of Science Editors:

Yu T. Energy-Efficient VLSI Signal Processing for Wideband Spectrum Sensing in Cognitive Radios. [Thesis]. UCLA; 2013. Available from: http://www.escholarship.org/uc/item/3dc5f3dq

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

16. Milheiro, João Alexandre Domingues. Detection and characterization of DVB-T signals for LSA model implementation in Portugal .

Degree: 2017, Universidade de Aveiro

 With the necessity of more efficient use of the spectrum due to the demand from the consumers, the spectrum regulatory entities must find ways to… (more)

Subjects/Keywords: DVB-T; LSA; Share spectrum; Signal sensing

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

APA (6th Edition):

Milheiro, J. A. D. (2017). Detection and characterization of DVB-T signals for LSA model implementation in Portugal . (Thesis). Universidade de Aveiro. Retrieved from http://hdl.handle.net/10773/23877

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):

Milheiro, João Alexandre Domingues. “Detection and characterization of DVB-T signals for LSA model implementation in Portugal .” 2017. Thesis, Universidade de Aveiro. Accessed February 25, 2020. http://hdl.handle.net/10773/23877.

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

MLA Handbook (7th Edition):

Milheiro, João Alexandre Domingues. “Detection and characterization of DVB-T signals for LSA model implementation in Portugal .” 2017. Web. 25 Feb 2020.

Vancouver:

Milheiro JAD. Detection and characterization of DVB-T signals for LSA model implementation in Portugal . [Internet] [Thesis]. Universidade de Aveiro; 2017. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/10773/23877.

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

Council of Science Editors:

Milheiro JAD. Detection and characterization of DVB-T signals for LSA model implementation in Portugal . [Thesis]. Universidade de Aveiro; 2017. Available from: http://hdl.handle.net/10773/23877

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


Delft University of Technology

17. Lamelas Polo, Y. Compressive Wideband Spectrum Sensing for Cognitive Radio Applications:.

Degree: Electrical Engineering, Mathematics and Computer Science, Telecommunications, 2008, Delft University of Technology

 It has been widely recognized that utilization of radio spectrum by licensed wireless systems, e.g., TV broadcasting, aeronautical telemetry, is quite low. In particular, at… (more)

Subjects/Keywords: cognitive radio; spectrum sensing; compressive sampling

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APA (6th Edition):

Lamelas Polo, Y. (2008). Compressive Wideband Spectrum Sensing for Cognitive Radio Applications:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:2f16fbcc-1a61-4144-bcd2-72effdfc2b9d

Chicago Manual of Style (16th Edition):

Lamelas Polo, Y. “Compressive Wideband Spectrum Sensing for Cognitive Radio Applications:.” 2008. Masters Thesis, Delft University of Technology. Accessed February 25, 2020. http://resolver.tudelft.nl/uuid:2f16fbcc-1a61-4144-bcd2-72effdfc2b9d.

MLA Handbook (7th Edition):

Lamelas Polo, Y. “Compressive Wideband Spectrum Sensing for Cognitive Radio Applications:.” 2008. Web. 25 Feb 2020.

Vancouver:

Lamelas Polo Y. Compressive Wideband Spectrum Sensing for Cognitive Radio Applications:. [Internet] [Masters thesis]. Delft University of Technology; 2008. [cited 2020 Feb 25]. Available from: http://resolver.tudelft.nl/uuid:2f16fbcc-1a61-4144-bcd2-72effdfc2b9d.

Council of Science Editors:

Lamelas Polo Y. Compressive Wideband Spectrum Sensing for Cognitive Radio Applications:. [Masters Thesis]. Delft University of Technology; 2008. Available from: http://resolver.tudelft.nl/uuid:2f16fbcc-1a61-4144-bcd2-72effdfc2b9d


University of Edinburgh

18. Huang, Qi. Robust spectrum sensing techniques for cognitive radio networks.

Degree: PhD, 2016, University of Edinburgh

 Cognitive radio is a promising technology that improves the spectral utilisation by allowing unlicensed secondary users to access underutilised frequency bands in an opportunistic manner.… (more)

Subjects/Keywords: 621.382; signal detection; spectrum sensing; bootstrap sampling

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APA (6th Edition):

Huang, Q. (2016). Robust spectrum sensing techniques for cognitive radio networks. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/22012

Chicago Manual of Style (16th Edition):

Huang, Qi. “Robust spectrum sensing techniques for cognitive radio networks.” 2016. Doctoral Dissertation, University of Edinburgh. Accessed February 25, 2020. http://hdl.handle.net/1842/22012.

MLA Handbook (7th Edition):

Huang, Qi. “Robust spectrum sensing techniques for cognitive radio networks.” 2016. Web. 25 Feb 2020.

Vancouver:

Huang Q. Robust spectrum sensing techniques for cognitive radio networks. [Internet] [Doctoral dissertation]. University of Edinburgh; 2016. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/1842/22012.

Council of Science Editors:

Huang Q. Robust spectrum sensing techniques for cognitive radio networks. [Doctoral Dissertation]. University of Edinburgh; 2016. Available from: http://hdl.handle.net/1842/22012


University of Waterloo

19. Gohider, Nada. Context Augmented Spectrum Sensing in Cognitive Radio Networks.

Degree: 2016, University of Waterloo

Spectrum management has become a crucial issue in wireless networks. However, optimal utilization of the spectrum among the different users is not a trivial task.… (more)

Subjects/Keywords: Cognitive Radio Networks; Spectrum Sensing; Context Awareness

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APA (6th Edition):

Gohider, N. (2016). Context Augmented Spectrum Sensing in Cognitive Radio Networks. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/10125

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):

Gohider, Nada. “Context Augmented Spectrum Sensing in Cognitive Radio Networks.” 2016. Thesis, University of Waterloo. Accessed February 25, 2020. http://hdl.handle.net/10012/10125.

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

MLA Handbook (7th Edition):

Gohider, Nada. “Context Augmented Spectrum Sensing in Cognitive Radio Networks.” 2016. Web. 25 Feb 2020.

Vancouver:

Gohider N. Context Augmented Spectrum Sensing in Cognitive Radio Networks. [Internet] [Thesis]. University of Waterloo; 2016. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/10012/10125.

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

Council of Science Editors:

Gohider N. Context Augmented Spectrum Sensing in Cognitive Radio Networks. [Thesis]. University of Waterloo; 2016. Available from: http://hdl.handle.net/10012/10125

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


Virginia Tech

20. Radhakrishnan, Aravind. Android Phone Controlled Beagle Board Based PSCR in a Dynamic Spectrum Access Environment.

Degree: MS, Electrical and Computer Engineering, 2010, Virginia Tech

 Public Safety Cognitive Radio (PSCR) is a Software Defined Radio(SDR) developed by the Center for Wireless Telecommunications (CWT) at Virginia Tech. PSCR can configure itself… (more)

Subjects/Keywords: DSA; Cooperative Spectrum Sensing; DSA Broker

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

APA (6th Edition):

Radhakrishnan, A. (2010). Android Phone Controlled Beagle Board Based PSCR in a Dynamic Spectrum Access Environment. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/35046

Chicago Manual of Style (16th Edition):

Radhakrishnan, Aravind. “Android Phone Controlled Beagle Board Based PSCR in a Dynamic Spectrum Access Environment.” 2010. Masters Thesis, Virginia Tech. Accessed February 25, 2020. http://hdl.handle.net/10919/35046.

MLA Handbook (7th Edition):

Radhakrishnan, Aravind. “Android Phone Controlled Beagle Board Based PSCR in a Dynamic Spectrum Access Environment.” 2010. Web. 25 Feb 2020.

Vancouver:

Radhakrishnan A. Android Phone Controlled Beagle Board Based PSCR in a Dynamic Spectrum Access Environment. [Internet] [Masters thesis]. Virginia Tech; 2010. [cited 2020 Feb 25]. Available from: http://hdl.handle.net/10919/35046.

Council of Science Editors:

Radhakrishnan A. Android Phone Controlled Beagle Board Based PSCR in a Dynamic Spectrum Access Environment. [Masters Thesis]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/35046

21. Aftab, Adnan. Spectrum sensing through implementation of USRP2.

Degree: 2011, , School of Computing

  Scarcity of the wireless spectrum has led to the development of new techniques for better utilization of the wireless spectrum. Demand for high data… (more)

Subjects/Keywords: Cognitive Radio; Spectrum sensing; GNU Radio; USRP2

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APA (6th Edition):

Aftab, A. (2011). Spectrum sensing through implementation of USRP2. (Thesis). , School of Computing. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4135

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):

Aftab, Adnan. “Spectrum sensing through implementation of USRP2.” 2011. Thesis, , School of Computing. Accessed February 25, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4135.

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

MLA Handbook (7th Edition):

Aftab, Adnan. “Spectrum sensing through implementation of USRP2.” 2011. Web. 25 Feb 2020.

Vancouver:

Aftab A. Spectrum sensing through implementation of USRP2. [Internet] [Thesis]. , School of Computing; 2011. [cited 2020 Feb 25]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4135.

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

Council of Science Editors:

Aftab A. Spectrum sensing through implementation of USRP2. [Thesis]. , School of Computing; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4135

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

22. SUN, YUHANG. Spectrum Sensing in Cognitive Radio Systems using Energy Detection :  .

Degree: Mathematics and Natural Sciences, 2011, University of Gävle

  Cognitive radio is a low-cost communication system, which can choose the available frequencies and waveforms automatically on the premise of avoiding interfering the licensed… (more)

Subjects/Keywords: Cognitive radio; spectrum sensing; energy detector

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APA (6th Edition):

SUN, Y. (2011). Spectrum Sensing in Cognitive Radio Systems using Energy Detection :  . (Thesis). University of Gävle. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-10789

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, YUHANG. “Spectrum Sensing in Cognitive Radio Systems using Energy Detection :  .” 2011. Thesis, University of Gävle. Accessed February 25, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-10789.

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

MLA Handbook (7th Edition):

SUN, YUHANG. “Spectrum Sensing in Cognitive Radio Systems using Energy Detection :  .” 2011. Web. 25 Feb 2020.

Vancouver:

SUN Y. Spectrum Sensing in Cognitive Radio Systems using Energy Detection :  . [Internet] [Thesis]. University of Gävle; 2011. [cited 2020 Feb 25]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-10789.

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

Council of Science Editors:

SUN Y. Spectrum Sensing in Cognitive Radio Systems using Energy Detection :  . [Thesis]. University of Gävle; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-10789

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


University of Notre Dame

23. Zhanwei Sun. Performance Metrics, Sampling Schemes, and Detection Algorithms for Wideband Spectrum Sensing</h1>.

Degree: PhD, Electrical Engineering, 2013, University of Notre Dame

  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)

Subjects/Keywords: sub-Nyquist sampling; wideband spectrum sensing; dynamic spectrum access; compressed sensing; cognitive radio

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

APA (6th Edition):

Sun, Z. (2013). Performance Metrics, Sampling Schemes, and Detection Algorithms for Wideband Spectrum Sensing</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/td96k071s1s

Chicago Manual of Style (16th Edition):

Sun, Zhanwei. “Performance Metrics, Sampling Schemes, and Detection Algorithms for Wideband Spectrum Sensing</h1>.” 2013. Doctoral Dissertation, University of Notre Dame. Accessed February 25, 2020. https://curate.nd.edu/show/td96k071s1s.

MLA Handbook (7th Edition):

Sun, Zhanwei. “Performance Metrics, Sampling Schemes, and Detection Algorithms for Wideband Spectrum Sensing</h1>.” 2013. Web. 25 Feb 2020.

Vancouver:

Sun Z. Performance Metrics, Sampling Schemes, and Detection Algorithms for Wideband Spectrum Sensing</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2013. [cited 2020 Feb 25]. Available from: https://curate.nd.edu/show/td96k071s1s.

Council of Science Editors:

Sun Z. Performance Metrics, Sampling Schemes, and Detection Algorithms for Wideband Spectrum Sensing</h1>. [Doctoral Dissertation]. University of Notre Dame; 2013. Available from: https://curate.nd.edu/show/td96k071s1s


University of Windsor

24. Awin, Faroq Ali. Energy-efficient spectrum sensing approaches for cognitive radio systems.

Degree: PhD, Electrical and Computer Engineering, 2016, University of Windsor

 Designing an energy efficient cooperative spectrum sensing for cognitive radio network is our main research objective in this dissertation. Two different approaches are employed to… (more)

Subjects/Keywords: Cognitive radio; Cooperative spectrum sensing; Detection performance; Energy efficiency; Optimization; Spectrum sensing

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APA (6th Edition):

Awin, F. A. (2016). Energy-efficient spectrum sensing approaches for cognitive radio systems. (Doctoral Dissertation). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/5902

Chicago Manual of Style (16th Edition):

Awin, Faroq Ali. “Energy-efficient spectrum sensing approaches for cognitive radio systems.” 2016. Doctoral Dissertation, University of Windsor. Accessed February 25, 2020. https://scholar.uwindsor.ca/etd/5902.

MLA Handbook (7th Edition):

Awin, Faroq Ali. “Energy-efficient spectrum sensing approaches for cognitive radio systems.” 2016. Web. 25 Feb 2020.

Vancouver:

Awin FA. Energy-efficient spectrum sensing approaches for cognitive radio systems. [Internet] [Doctoral dissertation]. University of Windsor; 2016. [cited 2020 Feb 25]. Available from: https://scholar.uwindsor.ca/etd/5902.

Council of Science Editors:

Awin FA. Energy-efficient spectrum sensing approaches for cognitive radio systems. [Doctoral Dissertation]. University of Windsor; 2016. Available from: https://scholar.uwindsor.ca/etd/5902

25. Jaison Jacob; Dr. Babitha R Jose. Effective approaches for spectrum sensing and occupancy analysis for cognitive radio networks.

Degree: 2017, Cochin University of Science and Technology

Subjects/Keywords: Spectrum sensing; Spectrum occupancy

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APA (6th Edition):

Jose, J. J. D. B. R. (2017). Effective approaches for spectrum sensing and occupancy analysis for cognitive radio networks. (Thesis). Cochin University of Science and Technology. Retrieved from http://dyuthi.cusat.ac.in/purl/5215

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):

Jose, Jaison Jacob; Dr. Babitha R. “Effective approaches for spectrum sensing and occupancy analysis for cognitive radio networks.” 2017. Thesis, Cochin University of Science and Technology. Accessed February 25, 2020. http://dyuthi.cusat.ac.in/purl/5215.

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

MLA Handbook (7th Edition):

Jose, Jaison Jacob; Dr. Babitha R. “Effective approaches for spectrum sensing and occupancy analysis for cognitive radio networks.” 2017. Web. 25 Feb 2020.

Vancouver:

Jose JJDBR. Effective approaches for spectrum sensing and occupancy analysis for cognitive radio networks. [Internet] [Thesis]. Cochin University of Science and Technology; 2017. [cited 2020 Feb 25]. Available from: http://dyuthi.cusat.ac.in/purl/5215.

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

Council of Science Editors:

Jose JJDBR. Effective approaches for spectrum sensing and occupancy analysis for cognitive radio networks. [Thesis]. Cochin University of Science and Technology; 2017. Available from: http://dyuthi.cusat.ac.in/purl/5215

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


University of Alberta

26. Zheng, Yu. Spectrum Sensing, Access, and Leasing in Cognitive Radio Networks.

Degree: MS, Department of Electrical and Computer Engineering, 2014, University of Alberta

 Cognitive radio has been considered as a promising way to deal with the overcrowded wireless spectrum. In cognitive radio, when licensed users (primary users) do… (more)

Subjects/Keywords: Spectrum Sensing; Wireless Networks; Cognitive Radio; Spectrum Leasing

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APA (6th Edition):

Zheng, Y. (2014). Spectrum Sensing, Access, and Leasing in Cognitive Radio Networks. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/cj82k768m

Chicago Manual of Style (16th Edition):

Zheng, Yu. “Spectrum Sensing, Access, and Leasing in Cognitive Radio Networks.” 2014. Masters Thesis, University of Alberta. Accessed February 25, 2020. https://era.library.ualberta.ca/files/cj82k768m.

MLA Handbook (7th Edition):

Zheng, Yu. “Spectrum Sensing, Access, and Leasing in Cognitive Radio Networks.” 2014. Web. 25 Feb 2020.

Vancouver:

Zheng Y. Spectrum Sensing, Access, and Leasing in Cognitive Radio Networks. [Internet] [Masters thesis]. University of Alberta; 2014. [cited 2020 Feb 25]. Available from: https://era.library.ualberta.ca/files/cj82k768m.

Council of Science Editors:

Zheng Y. Spectrum Sensing, Access, and Leasing in Cognitive Radio Networks. [Masters Thesis]. University of Alberta; 2014. Available from: https://era.library.ualberta.ca/files/cj82k768m


University of Alberta

27. 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

 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)

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 February 25, 2020. 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. 25 Feb 2020.

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 2020 Feb 25]. 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


Penn State University

28. Pooler, Rick. AN ANALYSIS OF SPECTRUM SHARING FOR RADAR APPLICATIONS.

Degree: 2017, Penn State University

 The author in conjunction with The Pennsylvania State University and the United States ArmyResearch Laboratory (ARL) has developed a multichannel superheterodyne signal analyzer aptlynamed the… (more)

Subjects/Keywords: Spectrum Sensing; Cognitive Radar; Spectrum Sharing; Optimal Sub-band

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APA (6th Edition):

Pooler, R. (2017). AN ANALYSIS OF SPECTRUM SHARING FOR RADAR APPLICATIONS. (Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/13618rop5073

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):

Pooler, Rick. “AN ANALYSIS OF SPECTRUM SHARING FOR RADAR APPLICATIONS.” 2017. Thesis, Penn State University. Accessed February 25, 2020. https://etda.libraries.psu.edu/catalog/13618rop5073.

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

MLA Handbook (7th Edition):

Pooler, Rick. “AN ANALYSIS OF SPECTRUM SHARING FOR RADAR APPLICATIONS.” 2017. Web. 25 Feb 2020.

Vancouver:

Pooler R. AN ANALYSIS OF SPECTRUM SHARING FOR RADAR APPLICATIONS. [Internet] [Thesis]. Penn State University; 2017. [cited 2020 Feb 25]. Available from: https://etda.libraries.psu.edu/catalog/13618rop5073.

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

Council of Science Editors:

Pooler R. AN ANALYSIS OF SPECTRUM SHARING FOR RADAR APPLICATIONS. [Thesis]. Penn State University; 2017. Available from: https://etda.libraries.psu.edu/catalog/13618rop5073

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


NSYSU

29. Hou, Jun-Hong. Data Rate Estimation of Aggregated Dual-band Signals Cognitive from Software-Defined Radio Architecture.

Degree: Master, Electrical Engineering, 2016, NSYSU

 Ever since entering the age of information and communications, the IT industry has grown exponentially. Due to the growing demands for wireless communications, spectrum has… (more)

Subjects/Keywords: Carrier Aggregation; spectrum efficiency; throughput; Cognitive Radio; Spectrum sensing

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APA (6th Edition):

Hou, J. (2016). Data Rate Estimation of Aggregated Dual-band Signals Cognitive from Software-Defined Radio Architecture. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0718116-162016

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):

Hou, Jun-Hong. “Data Rate Estimation of Aggregated Dual-band Signals Cognitive from Software-Defined Radio Architecture.” 2016. Thesis, NSYSU. Accessed February 25, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0718116-162016.

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

MLA Handbook (7th Edition):

Hou, Jun-Hong. “Data Rate Estimation of Aggregated Dual-band Signals Cognitive from Software-Defined Radio Architecture.” 2016. Web. 25 Feb 2020.

Vancouver:

Hou J. Data Rate Estimation of Aggregated Dual-band Signals Cognitive from Software-Defined Radio Architecture. [Internet] [Thesis]. NSYSU; 2016. [cited 2020 Feb 25]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0718116-162016.

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

Council of Science Editors:

Hou J. Data Rate Estimation of Aggregated Dual-band Signals Cognitive from Software-Defined Radio Architecture. [Thesis]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0718116-162016

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


Louisiana State University

30. Soltanmohammadi, Erfan. Spectrum sensing, spectrum monitoring, and security in cognitive radios.

Degree: PhD, Electrical and Computer Engineering, 2014, Louisiana State University

Spectrum sensing is a key function of cognitive radios and is used to determine whether a primary user is present in the channel or not.… (more)

Subjects/Keywords: spectrum sensing; spectrum monitoring; cognitive radio; expectation-maximization

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

APA (6th Edition):

Soltanmohammadi, E. (2014). Spectrum sensing, spectrum monitoring, and security in cognitive radios. (Doctoral Dissertation). Louisiana State University. Retrieved from etd-05192014-220307 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1492

Chicago Manual of Style (16th Edition):

Soltanmohammadi, Erfan. “Spectrum sensing, spectrum monitoring, and security in cognitive radios.” 2014. Doctoral Dissertation, Louisiana State University. Accessed February 25, 2020. etd-05192014-220307 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1492.

MLA Handbook (7th Edition):

Soltanmohammadi, Erfan. “Spectrum sensing, spectrum monitoring, and security in cognitive radios.” 2014. Web. 25 Feb 2020.

Vancouver:

Soltanmohammadi E. Spectrum sensing, spectrum monitoring, and security in cognitive radios. [Internet] [Doctoral dissertation]. Louisiana State University; 2014. [cited 2020 Feb 25]. Available from: etd-05192014-220307 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1492.

Council of Science Editors:

Soltanmohammadi E. Spectrum sensing, spectrum monitoring, and security in cognitive radios. [Doctoral Dissertation]. Louisiana State University; 2014. Available from: etd-05192014-220307 ; https://digitalcommons.lsu.edu/gradschool_dissertations/1492

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