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.
cognitive radio power control game theory differential evolution
Chen Lina
College of Mathematics, Physics and Information Engineering Zhejiang Normal University Jinhua, China
国际会议
太原
英文
474-478
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）