A Double Threshold Energy Detection Cooperative Spectrum Sensing Scheme over Nakagami and Rician Fading Channels

Cooperative spectrum sensing is an efficient scheme to deal with the effects of fading components on detection performance in cognitive radio networks. Energy efficiency is one of the impacting factors of this solution. In this paper, we apply the optimal double threshold 'n-ratio' fusion rule over Nakagami and Rician fading channels and examine its performance through numerical simulations. Evaluations indicate that '2-ratio' and '1-ratio' logics outperform other data fusion schemes in both Nakagami and Rician channels. Moreover, the optimal K-coefficient is derived to determine the thresholds (lambda(1)and lambda(2)) in double thresholds scheme for both fading conditions. While the optimal parameters are applied, the reduction of the consumed energy is presented as a tradeoff between detection performance and cooperation overhead.