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Analysis of Cognitive Radio Spectrum Sensing Techniques over Nakagami-m Fading Channel
Open accessAbstract
As the demand of wireless communication increases exponentially, with the same ratio scarcity of spectrum also originates. To overcome this spectrum scarcity a novel approach, Cognitive Radio (CR) shows development of an opportunistic and promising technology. This paper explores implementation and analysis of the CR spectrum sensing techniques such as Matched filtering, Energy detection and Cyclostationary feature detection on MATLAB platform by simulation. We analyze performance of these techniques over, Nakagami-m fading channel with AWGN channel for both the BPSK and QPSK modulation.
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“Such shutdowns, whether nationwide or targeted at specific regions or demographics, can significantly disrupt information flows at the most critical moments.61”
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Research works printed but not linked: 14
- Md. Shahnawaz Shaikh, Kamlesh Gupta, ”A Review of Spectrum Sensing Techniques for Cognitive Radio”, International Journal of Computer Applications (0975 8887),Volume 94 - No. 8, May 2014. · DOI
- Md. Shahnawaz Shaikh, Kamlesh Gupta ”Analysis of Cognitive Radio Spectrum Sensing Techniques”, International Journal of Computer Applications (0975 8887), Volume 102 - No. 12, September 2014. · DOI
- Tevfik Yucek and Huseyin Arslan, A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, VOL. 11, NO. 1, FIRST QUARTER2009. · DOI
- Mahmood A. Abdulsattar and Zahir A. Hussein, ENERGY DETECTION TECHNIQUE FOR SPECTRUM SENSING IN COGNITIVE RADIO: A SURVEY, International Journal of Computer Networks and Communications (IJCNC) Vol.4, No.5, September 2012. · DOI
- Simon Haykin, Life Fellow IEEE, David J. Thomson, Fellow IEEE, and Jeffrey H. Reed, Fellow IEEE,Spectrum Sensing for Cognitive Radio,Proceedings of the IEEE. Vol. 0018-9219/ 2009 IEEE 97, No. 5, May2009. · DOI
- Ying-Chang Liang, Senior Member, IEEE, Yonghong Zeng, SeniorMember, IEEE, Edward C.Y. Peh, and Anh Tuan Hoang, Member, IEEE, Sensing-Throughput Tradeoff for Cognitive Radio Net-works,IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS,VOL. 7, NO. 4, APRIL 2008. · DOI
- Zhi Quan, Student Member, IEEE, Shuguang Cui, Member, IEEE, and Ali H. Sayed, Fellow, IEEE, Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks, IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, VOL. 2, NO. 1, FEBRUARY 2008 · DOI
- Paul D. Sutton, Member, IEEE, Keith E. Nolan, Member, IEEE, and Linda E. Doyle, Member, IEEE, Cyclostationary Signatures in Practical Cognitive Radio Applications,IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS, VOL. 26, NO. 1, JANUARY 2008. · DOI
- Dong-Chan Oh and Yong-Hwan Lee. Energy Detection Based Spectrum Sensing for Sensing Error Minimization in Cognitive Radio Networks,International Journal of Communication Networks and Information Security (IJCNIS) Vol. 1, No. 1, April 2009.
- Md. Shamim Hossain, Md. Ibrahim Abdullah, Mohammad Alamgir Hossain, Energy Detection Performance of Spectrum Sensing in Cognitive Radio, I. J. Information Technology and Computer Science, 2012, 11, 11-17, DOI: 10.5815/ijitcs.2012.11.02 · DOI
- Saqib Saleem1 and Khurram Shahzad, Performance Evaluation of Energy Detection Based Spectrum Sensing Technique for Wireless Channel, INTERNATIONAL JOURNAL OF MULTIDISCIPLINARY SCIENCES AND ENGINEERING, VOL. 3, NO. 5, MAY 2012
- S.Shobana, R.Saravanan, R.Muthaiah, Matched Filter Based Spectrum Sensing on Cognitive Radio for OFDM WLANs, International Journal of Engineering and Technology (IJET) ISSN: 0975-4024 Vol 5 No 1Feb-Mar 2013
- M. Ranjeeth, S. Anuradha, Performance of Nakagami Fading Channel over Energy Detection Based Spectrum Sensing, International Journal of Electronics and Communication Engineering, Vol:8, No:10, 2014 · DOI
- Deepti Kakkar1, Arun Khosla1, Moin Uddin2, Efficient Performance Analysis of Spectrum Sensing for Cascaded Multihop Network over Nagakami-m Fading Channels, Scientific Research, Engineering, 2014,6, 71-77 · DOI
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Metadata
- Authors
- Shaikh, M. S., & Khare, P. K.
- Affiliations
- Rani Durgavati University (IN)
- Venue
- International Journal of Communications
- Published
- 2020-12-17
- Volume
- 14
- Pages
- 24-28
- ISSN
- 1998-4480 (ISSN-L)
- OpenAlex
- W3158598417
- Cited by
- 25
- References
- 0
- Citations by year
- 2025: 6 · 2024: 7 · 2023: 3 · 2022: 3 · 2021: 5 · 2020: 1
- FWCI
- 1.41
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- International Journal of Communications (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Networks and Communications › Cognitive Radio Networks and Spectrum Sensing
- Physical Sciences › Computer Science › Artificial Intelligence › Wireless Signal Modulation Classification
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Energy Harvesting in Wireless Networks
- Keywords
- cognitive radio, spectrum sensing, Nakagami-m fading, matched filter, energy detection, cyclostationary feature detection, spectrum scarcity, BPSK, QPSK, AWGN channel
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- Shaikh, M. S., & Khare, P. K. (2020). Analysis of Cognitive Radio Spectrum Sensing Techniques over Nakagami-m Fading Channel. International Journal of Communications. https://doi.org/10.46300/9107.2020.14.5
