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Comparison of Energy Detection Based Spectrum Sensing Methods over Fading Channels in Cognitive Radio
Komal Arora, Ankush Kansal, Kulbir Singh
Pages - 44 - 51     |    Revised - 01-05-2011     |    Published - 31-05-2011
Volume - 5   Issue - 2    |    Publication Date - May / June 2011  Table of Contents
Cognitive Radio, Probability of Detection, Spectrum sensing
With the advance of wireless communications, the problem of bandwidth scarcity has become more prominent. Cognitive radio technology has come out as a way to solve this problem by allowing the unlicensed users to use the licensed bands opportunistically. To sense the existence of licensed users, many spectrum sensing techniques have been devised. This paper presents the energy detection based spectrum sensing technique. In the present work, the comparison of ROC curves has been done for various wireless fading channels using squaring and cubing operation. The improvement has gone as high as up to 0.6 times for AWGN channel and 0.4 times for Rayleigh channel as we go from squaring to cubing operation in an energy detector
CITED BY (5)  
1 Shaikh, M. S., & Gupta, K. (2014). A Review of Spectrum Sensing Techniques for Cognitive Radio. International Journal of Computer Applications, 94(8).
2 Shaikh, M. S., & Gupta, K. (2014). Analysis of Cognitive Radio Spectrum Sensing Techniques. International Journal of Computer Applications, 102(12).
3 Lingeswari, P., Venkatesan, K. P., & Vijayarangan, V. (2012). Comparison of Primary Transmitter Detection based Spectrum Sensing Techniques in Cognitive Radio Systems. Wireless Communication, 4(9), 524-528.
4 Avila, J., & Thenmozhi, K. (2012). Wavelet Supersede FFT in MB-OFDM: an Effective Cognitive Spectrum Sensing. Journal of Artificial Intelligence, 5(3), 113-121.
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Miss Komal Arora
Thapar University - India
Mr. Ankush Kansal
Thapar University, Patiala - India
Dr. Kulbir Singh
Thapar University, Patiala. - India

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