Optimal Channel Selection for Cooperative Spectrum Sensing Using Coordination Game

This paper studies the problem of sensing channel selection in cognitive radio networks, where multichannel cooperative spectrum sensing and fusing are employed. Since the cognitive radio users can not sense all the channels simultaneously, it is important for the users to select sensing channels properly. We first formulate the channel selection problem as a coordination game model and then propose a learning algorithm to achieve the optimal solution. The proposed algorithm is simple, distributed, and optimal; moreover, it only need slight information exchange. Also, the tradeoff between sensing cost and achievable system throughput is investigated. The proposed solution provides a promising approach for distributed optimization problems, especially the one with heavy computation complexity, and hence can be applied to other scenarios.