Enhanced pilot-based spectrum sensing algorithm

In this paper, we develop an enhanced pilot-based spectrum sensing algorithm for cognitive radio. Unlike conventional pilot-based detectors which merely detect the presence of pilot signals, the proposed detector also utilizes the presence of the signal that carries the actual information. We analytically compare the performance of the proposed detector with the conventional one, and we show that the detection performance is significantly improved.

[1]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[2]  Anant Sahai,et al.  SNR Walls for Signal Detection , 2008, IEEE Journal of Selected Topics in Signal Processing.

[3]  Ghaith Hattab,et al.  Multiband Spectrum Access: Great Promises for Future Cognitive Radio Networks , 2014, Proceedings of the IEEE.

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

[5]  Colin C. Murphy,et al.  On the Convergence of the Chi Square and Noncentral Chi Square Distributions to the Normal Distribution , 2013, IEEE Communications Letters.

[6]  Mohamed Ibnkahla.  Cooperative Cognitive Radio Networks: The Complete Spectrum Cycle , 2014 .

[7]  Yonghong Zeng,et al.  Sensing-Throughput Tradeoff for Cognitive Radio Networks , 2008, IEEE Transactions on Wireless Communications.

[8]  H. Vincent Poor,et al.  An Introduction to Signal Detection and Estimation , 1994, Springer Texts in Electrical Engineering.