Performance of cooperative spectrum sensing in Hoyt fading channel under hard decision fusion rules

Detection is compromised when a cognitive radio (CR) user experiences deep fading effect. To detect the primary user (PU) more accurately in fading channels, CR users need to cooperate by sharing their information. In this paper we investigate performance of cooperative spectrum sensing (CSS), using energy detection at each CR user, to improve the sensing performance in Hoyt/Nakagami-q fading channel. Hard decision combining fusion rule (k-out of-N) is performed at fusion center (FC) to make the final decision about PU. Comparison among fusion rules has been illustrated for a wide range of average signal-to-noise ratio (SNR) values. The performance of CSS is compared with single CR user based spectrum sensing under various network parameters such as number of CR users (N) and average SNRs. The performance of single CR user based spectrum sensing improves with increase in Hoyt fading parameter (q).