An evolutionary dynamics game in cooperative spectrum sensing

Cooperative spectrum sensing has greatly improved the performance of the cognitive radio. If the cognitive users belong to different groups, they seem to be less insensitive to achieve a higher throughput. In this paper , an evolutionary game framework is proposed to study the interactions between selfish users in the cooperative sensing .We compare the dynamics and the stationary strategy of the secondary users, and propose a distributed learning algorithm that helps the secondary users approach the Nash equilibrium with local payoff observation only. Simulation results show that, in the cooperative sensing game, the average throughput with more than two secondary users is higher than that when the secondary users sense the primary user individually without cooperation.