Power control algorithm for cognitive radio based on differential evolution

Game theory is used to design the power control algorithm for cognition radio. Link cost function is constructed by the number of users. Difference evolution algorithm is used to obtain Nash equilibrium, which ensures the fast convergence and global optimum of the iterative results. Simulating results show that the proposed algorithm can be used to efficiently control the secondary users´ power, and also realize resource equal allocation for cognitive radio network. The overall performance of system is improved greatly by the proposed algorithm.