A Reliable Collaborative Spectrum Sensing Scheme Based on the ROCQ Reputation Model for Cognitive Radio Networks

摘要: Linear combination-based collaborative spectrum sensing, in which a coefficient is used to weight each cognitive radio (CR) user's sensing result the linear fusion process at central controller, an effective mechanism solve fading and hidden terminal problem networks (CRNs). For reliable scheme, it important distinguish whether CR user or not. In this paper, we proposed scheme based on ROCQ reputation management model for CRNs. has degree calculate its process, initialized adjusted by controller according result, correctness report consistency. Simulation results show that our alleviates corrupted resulting from destructive channel conditions between primary transmitter users. Moreover, compared optimal detection performance of approximately same while requires no instantaneous SNRs. And convergence adjusting method also performs well.