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Spectrum Sensing Issues and Techniques of Cognitive Radio Systems: A Review


  • Department of ECE, Lovely Professional University, Phagwara, Punjab – 144411, India


In today’s era of wireless and mobile communication, there is unaccustomed increase in number of subscribers which has led to demand of higher data rates. To support higher data rates, enormous bandwidth is required. As the spectrum is limited, problem of bandwidth scarcity has come into picture. Various techniques have been devised to resolve this problem. Cognitive Radio is one of them. Cognitive radio is the name given to the technology which senses the spectrum of primary users and allow the secondary users to send the data if primary users are not sending. Spectrum sensing is the major challenge of CR systems. This paper focuses on the challenges involved in CR systems and various spectrum sensing techniques.


Carrier Sense Multiple Access (CSMA), Cognitive Radio (CR), Signal to Noise Ratio (SNR)

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  • Tevfik Yucek, Huseyin Arslan. a survey of spectrum sensing algorithms for cognitive radio applications. IEEE Communications Surveys & Tutorials. Mar 2009; 11(1).
  • Khan A, Rehmani MH, Reisslein M. Cognitive Radio for Smart Grids: Survey of Architectures, Spectrum Sensing Mechanisms, and Networking Protocols. IEEE Communications and Surveys. 2016; 18(1).
  • Sonika, K Arora. Performance analysis of cubing based energy detector with adaptive threshold in cognitive radio over fading channel. IJAER. p. 20683-692.
  • Ghosh S, Bhowmick A, Nallagonda S, Roy SD, Kundu S. Performance of Weighted Fusion based Spectrum Sensing under Double Threshold in Cognitive Radio Network. 2016 International Conference on Microelectronics, Computing and Communications (MicroCom). Durgapur. 2016. p.1-4.
  • Igbinosa IE, Oyerinde OO, Srivastava VM, Mneney S. Spectrum sensing methodologies for cognitive radio systems: A Review. IJACSA. 2015; 6(12).
  • Arora K, Kansal A, Singh K. Comparison of energy detection based spectrum sensing methods over fading channels in cognitive radio. SPIJ. 2011; 5(12).
  • Xie S, Shen J, Liu L. Optimal threshold of energy detection for spectrum sensing in cognitive radio. Wireless Communications & Signal Processing. 2009. WCSP 2009. International Conference on, Nanjing. 2009. p. 1-5.
  • Jain, Deepika, Kaur A, Ahuja S. Enhanced cognitive radio energy detection technique based on estimation of noise uncertainty. IJARCET. May 2016; 5(5).
  • Liu, Peng, et al. Full duplex joint sensing for opportunistic access in spectrum-heterogeneous cognitive radio networks. Apr 2011; 3(4).
  • Ghasemi A, Sousa E. Optimization of spectrum sensing for opportunistic spectrum access in cognitive radio networks. In Proceedings IEEE Consumer Communication and Networking Conference. Las Vegas, Nevada, USA. Jan 2007. p. 1022-26.
  • Khambekar N, Dong L, Chaudhary V. Utilizing OFDM guard interval for spectrum sensing. In Proc. IEEE Wireless Communication and Networking Conf, Hong Kong. Mar 2007. p. 38–42.
  • Datla D, Rajbanshi R, Wyglinski AM, Minden GJ. Parametric adaptive spectrum sensing framework for dynamic spectrum access networks. In Proc. IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, Dublin, Ireland; Apr 2007. p. 482–85.
  • Hu W, Willkomm D, Abusubaih M, Gross J, Vlantis G, Gerla M, Wolisz A. Dynamic frequency hopping communities for efficient IEEE 802.22 operation. IEEE Communication Mag. May 2007; 45(5):80-7.
  • Visotsky E, Kuffner S, Peterson R. On collaborative detection of TV transmissions in support of dynamic spectrum sharing. In Proceedings of IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, Baltimore, Maryland, USA. Nov 2005. p. 338–45.


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