认知无线电中基于博弈论的频谱分配算法

Spectrum allocation algorithm based on game theory in cognitive radio

利用博弈论分析了认知无线电网络中动态频谱分配问题,构建了基于博弈论的认知无线电频谱分配问题模型,提出了基于潜在博弈论的分布式频谱分配算法,并得到了相应博弈过程的纳什均衡。仿真结果表明,该算法能在较短时间内收敛到稳定状态,潜在函数取值达到最大值、系统总干扰水平降到最小、用户的SIR水平得到明显改善,达到了潜在博弈下信道分配的纳什均衡,实现了提高频谱利用率的目的。

This paper proposed game theory for dynamic spectrum allocation in cognitive radio network.It proposed the spectrum allocation model in cognitive radio based on game theory and proposed a distributed spectrum assignment algorithms based on potential game theory,and obtained Nash equilibrium of the game.The simulation result shows that the algorithm converges to be steady state in a relatively short time,the potential function value achieves maximum,the total interference level of the system achieves minimum,the level of the user＇s SIR is significantly improved,Nash equilibrium of potential game can be obtained by channel allocation and achieved to improve the purpose of the spectral efficiency.