Censor-based cooperative spectrum sensing in cognitive radio networks

In cognitive radio network,the limit of control channel bandwidth and the sensing delay will more impact the sensing performance of cooperative spectrum sensing when the number of cognitive users becomes very large.Censor-based cooperative sensing was presented to solve this problem.By reducing the number of users sending their local sensing decisions to the base-station,the communication overhead and total sensing delay are decreased.The optimal no decision probability can be achieved by maximizing the spectrum efficiency,which is a metric to compromise sensing overhead and spectrum utilization.According to the analysis and simulation results,the adoption of censored decision can improve the agility of the system.Appropriate sensing thresholds can be achieved by optimal no decision probability to perform censor-based cooperative sensing.