Performance Evaluation of Cognitive Radio in Cyclo-stationary CS MIMO-OFDM

In this paper, the performance of Energy and Cyclo-stationary spectrum detection in Rayleigh, Nakagami, Rician, and additive white gaussian noise (AWGN) channel environments is investigated for spectrum sensing in cognitive radio networks. MIMO-OFDM cognitive radio (CR) system is used where CR devices continuously sense the channel to check whether it is idle or not using compressed sensing with cyclo-stationary detection, and reconstruct the signal if communication is available for the given CR receiver from its transmitter. Moreover, collaborative spectrum sensing improves performance degradation caused by multipath and shadowing.