Cooperative Spectrum Sensing With Cluster-Based Architecture in Cognitive Radio Networks
In cognitive radio networks, the limitation of control channel bandwidth is a challenge of cooperative spectrum sensing when the number of cognitive users becomes very large. Cluster-based architecture is applied for cooperative sensing to avoid the congestion on control channel and reduce the sensing delay. In this paper, the authors propose a cluster-based cooperative spectrum sensing scheme to improve the efficiency of the network. The number of clusters affects both the system efficiency and detection performance significantly. By balancing the tradeoff between the communications overhead and sensing reliability, they can obtain the optimal number of clusters, which can minimize the cooperation overhead without any performance loss of reliability.