Cognitive Radio Spectrum Sensing Technique Using M-ary QAM for Different Fading Environments

Cognitive Radio have emerged up as the innovative technology to counter the problem of Spectrum Scarcity and it's under utilization. Using Cognitive Radio unused spectrum bands by their licensed users can be utilized by the secondary users and therefore increase the overall spectrum utilization. In this paper energy detection based Spectrum Sensing Technique is proposed based on M-ary QAM. The proposed techniques works under diverse channel conditions and environments. To test and verify the proposed technique, Receiver Operating Characteristics (ROC) curves for analysing Probability of Detection (Pd) and Complimentary ROC curves for Probability of Missed Detection (Pmd) is performed. The proposed technique is tested over different fading channels with varying Signal to Noise Ratio.

[1]  Hai Jiang,et al.  Energy Detection Based Cooperative Spectrum Sensing in Cognitive Radio Networks , 2011, IEEE Transactions on Wireless Communications.

[2]  Geetam Singh Tomar,et al.  Cooperative Spectrum Sensing Based on Two-Stage Detectors With Multiple Energy Detectors and Adaptive Double Threshold in Cognitive Radio Networks , 2013, Canadian Journal of Electrical and Computer Engineering.

[3]  Peng Cheng,et al.  Cooperative spectrum sensing in cognitive radio systems with limited sensing ability , 2010, Journal of Zhejiang University SCIENCE C.

[4]  Mritunjay Kumar Rai,et al.  Cooperative Sensing for Cognitive Radio: A Powerful Access Method for Shadowing Environment , 2015, Wirel. Pers. Commun..

[5]  Sattar Hussain,et al.  Performance Analysis of Relay-Based Cooperative Spectrum Sensing in Cognitive Radio Networks Over Non-Identical Nakagami- $m$ Channels , 2014, IEEE Transactions on Communications.

[6]  Sanjay Dhar Roy,et al.  Double threshold-based cooperative spectrum sensing for a cognitive radio network with improved energy detectors , 2015, IET Commun..

[7]  Michel Fattouche,et al.  Cooperative spectrum-sensing algorithm in cognitive radio by simultaneous sensing and BER measurements , 2016, EURASIP J. Wirel. Commun. Netw..

[8]  Mritunjay Kumar Rai,et al.  Cognitive radio intelligent-MAC (CR-i-MAC): channel-diverse contention free approach for spectrum management , 2017, Telecommun. Syst..

[9]  Shidong Zhou,et al.  Optimal cooperative energy spectrum sensing in cognitive radio network , 2010 .

[10]  F. Yu,et al.  Energy-efficient cooperative spectrum sensing schemes for cognitive radio networks , 2013, EURASIP J. Wirel. Commun. Netw..

[11]  Ali Ghrayeb,et al.  On the Performance of Cooperative Relaying Spectrum-Sharing Systems with Collaborative Distributed Beamforming , 2014, IEEE Transactions on Communications.

[12]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..

[13]  Qihui Wu,et al.  A Novel Cooperative Spectrum Sensing Algorithm in Cognitive Radio Systems , 2008 .

[14]  Ranjan K. Mallik,et al.  Cooperative Spectrum Sensing in Multiple Antenna Based Cognitive Radio Network Using an Improved Energy Detector , 2012, IEEE Communications Letters.