改进的认知无线电系统中频谱共享博弈算法

Improved Game-Theoretic Algorithm for Spectrum Sharing in Cognitive Radio

为提高博弈策略的合理性和有效性,提出了一种分布式的频谱共享博弈算法.考虑主用户的二次边际成本函数,得到满足稀有频谱资源分配属性的价格函数;设计了节省信道开销的动态次用户信任度机制,对干扰主用户通信的次用户进行惩罚,从而优化频谱共享环境;引入主用户价格反馈机制,实现算法分层,保证主用户和次用户获得最大的效用,并提高频谱的利用率.仿真分析也表明了所提出的博弈算法能使频谱分配更加合理和有效.

A distribution game-theoretic algorithm was proposed to improve the rationality and effectiveness of game strategy. First, a new price function was applied to the rare spectrum resource allocation, considering the quadratic-cost of primary users. Second, a dynamic trust value mechanism was designed to optimize spectrum sharing condition, punishing the secondary users by decreasing the trust value when they disturb the communications of primary users. Then, a hierarchical multi-period algorithm with price feedback was presented for the primary users and secondary users to get the maximum value and the spectrum utilization rate. Numerical simulation results show the rationality and effectiveness of the proposed algorithm.