Cooperative Spectrum Sensing over Generalized Fading Channels Based on Energy Detection

This paper analyzes the unified performance of energy detection (ED) of spectrum sensing (SS) over generalized fading channels in cognitive radios (CRs). The detective performance of SS will be obviously affected by fading channels among communication nodes, and ED has the advantages of fast implementation, no requirement of priori received information and low complexity, so it is meaningful to investigate ED over various fading channels. The probability density function (p.d.f.) of alpha-kappa-mu distribution is derived to evaluate energy efficiency for sensing systems. The detection probability with Marcum-Q function has been derived and the close-form expressions with moment generating function (MGF) method are deduced to achieve SS. Furthermore, exact closed-form analytic expressions for average area under the receiver operating characteristics curve ((AUC) over bar) also have been deduced to analyze the performance characteristics of ED over alpha-kappa-mu fading channels. Besides, cooperative spectrum sensing (CSS) with diversity reception has been applied to improve the detection accuracy and mitigate the shadowed fading features with OR-rule. At last, the results show that the detection capacity of ED will be evidently affected by alpha-kappa-mu fading channels, but appropriate channel parameters can improve sensing performance. In addition, the established ED-fading pattern is approved by simulations, and it can significantly enhance the detection performance of proposed algorithms.C