A Weighted Cluster-Based Cooperative Spectrum Detection Algorithm for Cognitive Radio
Cognitive radio has been considered as a potential wireless communication technology for efficient utilization of underutilized spectrum when primary users are absent. However, the performance of local single sensing degrades due to the complexities of wireless environment. The traditional cluster-based cooperative method can reduce the demand for the control channel, but it is not optimal for the system detection performance. In this paper, the authors propose a weighted cluster-based cooperative spectrum detection algorithm for cognitive radio. The proposed algorithm aims at improving the sensing performance by combining the information selectively in the cluster and weighting the detection information of clusters based on credibility.