基于博弈论的认知无线电功率控制算法

Game theoretic power control algorithm in cognitive radio networks

基于博弈理论,提出了2种适用于认知无线电网络的功率控制算法,分别是完全信息功率博弈算法和非完全信息功率博弈算法。所提算法在满足干扰温度约束的前提下,以提高认知无线电网络总效用为目标,分布式实现功率控制。仿真比较了2种算法和已有认知无线电功率控制算法的性能差异,结果显示所提算法在系统平均效用和用户平均功耗方面均具有明显优势。

Based on game theory, two power control algorithm were proposed-complete information power control algorithm and incomplete information power control algorithm. With the temperature constrains, the target of the algorithm was to enhance the utility of cognitive network and realize contributed power control. The simulation compared two algorithms with the known algorithm in performance. The result shows the presented algorithms have advantages in system average utility and consumers power waste.