Spectrum Sensing Techniques for a Cognitive Radio Network

This paper carries out a detailed review of the various techniques that have emerged in spectrum sensing in the recent years in cognitive radio (CR). It discusses the current innovations in techniques and algorithms, and within this context, the operation of an intelligent wireless communication system using CR technology has been reviewed. The important techniques used in past are also tabulated. Various technical papers and articles on wireless communication and CR systems have been analyzed. The paper takes an inquisitive approach to the proposals and prototypes of an effective spectrum sensing technique obtained using various algorithms, which can be used to eliminate the spectrum scarcity and overcrowdings. After reviewed various techniques, we work on data rate improvement and suggest a method of improving the quality by maintaining the BER at an average level by adaptive modulation.

[1]  R. Muthaiah,et al.  Matched Filter Based Spectrum Sensing on Cognitive Radio for OFDM WLANs , 2013 .

[2]  Brahmjit Singh,et al.  Simulation study of double threshold energy detection method for cognitive radios , 2015, 2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN).

[3]  R.W. Brodersen,et al.  Implementation issues in spectrum sensing for cognitive radios , 2004, Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004..

[4]  Geoffrey Ye Li,et al.  Cooperative Spectrum Sensing in Cognitive Radio, Part II: Multiuser Networks , 2007, IEEE Transactions on Wireless Communications.

[5]  Amir Ghasemi,et al.  Spectrum sensing in cognitive radio networks: requirements, challenges and design trade-offs , 2008, IEEE Communications Magazine.

[6]  Linda Doyle,et al.  Cyclostationary Signatures in Practical Cognitive Radio Applications , 2008, IEEE Journal on Selected Areas in Communications.

[7]  Dimitrie C. Popescu,et al.  Using Hidden Markov Models to enable performance awareness and noise variance estimation for energy detection in cognitive radio , 2012, 2012 46th Annual Conference on Information Sciences and Systems (CISS).

[8]  K. J. Ray Liu,et al.  Game theory for cognitive radio networks: An overview , 2010, Comput. Networks.

[9]  Hüseyin Arslan,et al.  A survey of spectrum sensing algorithms for cognitive radio applications , 2009, IEEE Communications Surveys & Tutorials.

[10]  Hossam M. Farag,et al.  An efficient dynamic thresholds energy detection technique for Cognitive Radio spectrum sensing , 2014, 2014 10th International Computer Engineering Conference (ICENCO).

[11]  Yonghong Zeng,et al.  Sensing-Throughput Tradeoff for Cognitive Radio Networks , 2008, IEEE Trans. Wirel. Commun..

[12]  Michael S. Hsiao,et al.  Cognitive Radio and Networking Research at Virginia Tech , 2009, Proceedings of the IEEE.

[13]  Huang Jian-guo,et al.  Novel energy detection scheme in cognitive radio , 2011, 2011 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC).

[14]  Amir Ghasemi,et al.  Fundamental limits of spectrum-sharing in fading environments , 2007, IEEE Transactions on Wireless Communications.

[15]  Khaled Ben Letaief,et al.  Cooperative Communications for Cognitive Radio Networks , 2009, Proceedings of the IEEE.

[16]  Zhongding Lei,et al.  IEEE 802.22: The first cognitive radio wireless regional area network standard , 2009, IEEE Communications Magazine.

[17]  Brian M. Sadler,et al.  A Survey of Dynamic Spectrum Access , 2007, IEEE Signal Processing Magazine.

[18]  Himanshu Joshi,et al.  Enhanced Test Case Design mechanism for regression & impact testing , 2014, International Conference on Computing and Communication Technologies.

[19]  Ying-Hong Wang,et al.  A fuzzy-based dynamic channel allocation scheme in cognitive radio networks , 2015, 2015 8th International Conference on Ubi-Media Computing (UMEDIA).