Rank based censoring of cognitive radios with cooperative spectrum sensing under hoyt fading channel

Abstract

Performance of cooperative spectrum sensing with hard decision fusion technique (majority logic) has been evaluated under Hoyt fading environment with the application of censoring scheme. In this paper we have considered Hoyt fading in both reporting channel (R-channel) and sensing channel (S-channel). In a cooperative spectrum sensing (CSS) scheme, the detection primary user (PU) activity is improved by eliminating the heavily faded cognitive radio (CR) users. CRs which are heavily faded those are eliminated by using censoring scheme in the R-channel. Rank based censoring scheme is used to censors the CRs in the presence of Hoyt fading in both perfect and imperfect channels. A hard decision based fusion technique called majority logic rule is considered at the fusion center (FC) to evaluate the performance using missed detection probability (Qm) and total error probability (Qm + Qf). This has been performed in both perfect and imperfect channels by varying the network parameters like: probabilities of false alarm (Qf), R-channel SNR, S-channel SNR and Hoyt fading parameter (q).