Constraint Based Cooperative Spectrum Sensing for Cognitive Radio Network

Abstract

Cognitive Radio (CR) is a key technology that has been proposed to exploit the unused spectrum holes opportunistically. In CR communication, the issues of shadowing, multipath fading affect performance of spectrum sensing function that impacts the detection performance of secondary users (SUs). Cooperative Spectrum Sensing (CSS) has proven to be an emerging scheme which significantly improves spectrum sensing performance by utilizing spatial diversity of the SUs. This paper proposes a game theory based coalition model. The main contribution of this work is to consider the constraint during cooperation due to cost involved in reporting time and reporting energy. A formulation has been proposed to decide the optimal size of a coalition and a scheme for dynamic selection of coalition head. In the game, the condition to achieve the coalition stability is carried out. Simulation results have shown the efficacy of the proposed model that enhances the sensing performance significantly.