认知无线网络中基于博弈的频谱共享

Spectrum sharing based on game theory in cognitive radio networks

研究了认知无线网络环境中基于价格动态性的频谱共享,主要用户服务提供商以不同的频谱价格向认知用户服务提供商出售空闲频谱,认知用户根据获得的收益调整对频谱的需求。在全体服务提供商对频谱价格满意的基础上,为最大化认知用户的收益,提出了基于静态博弈和动态博弈的频谱共享方案。仿真结果表明,通过合理设置学习速率,动态博弈达到了接近静态博弈的性能,最大化认知用户的收益。

This paper investigated the spectrum sharing based on price dynamics in cognitive radio networks in which one primary service provider sells idle spectrum at different price to secondary service providers, and secondary users dynamically adaped the requested spectrum size according to the received payoffs. In order to maximize the payoffs of secondary uses based on the charging prices all service providers were satisfied, proposed a spectrum sharing approach based on the static and dynamic game. Simulation results indicate that the dynamic game achieves the performance of the static game through setting learning rate properly, and consequently the payoffs of secondary users is maximized.