Detection Performance Analysis of Compressive Sensing in Cooperative Cognitive Radio Network

Abstract

Compressive Sensing (CS) has added a great advantage in signal processing because it requires significant computation through which a Cognitive Radio (CR) user can find an opportunity in the wideband spectrum. In this paper, CS will be used to estimate a noteworthy part of a wideband spectrum. This structure reduces computational burden and improves the detection performance. In this paper, a cooperative cognitive radio network will be considered, where CS will be applied to identify the main differences between cooperative strategy and non-cooperative strategy of spectrum sensing. The four fading channels (Additive White Gaussian Noise (AWGN), Rayleigh, Rician, and Nakagami channel) have been considered for the investigation under fading effect. In the end, a comparative analysis has been carried out to find out the most effective spectrum sensing strategy.