A Censoring Cooperative Spectrum Sensing Scheme Based on Stochastic Resonance in Cognitive Radio

A new censoring cooperative spectrum sensing scheme in cognitive radio (CR) network is proposed in this paper, which is based on stochastic resonance (SR) technique and optimal censoring interval. The selection strategy for the optimal censoring interval is derived. The observations of the cooperative secondary users (SUs) whose statistics fall into the censoring interval are processed by SR system. Theoretical analyses and simulation results show that the proposed cooperative spectrum sensing scheme has the same detection performance and lower computational complexity compared with the method that each cooperative performs spectrum sensing using SR-based energy detection, and the detection performance of both above method is superior than that of the conventional method that each cooperative performs spectrum sensing using energy detection.