采用博弈理论对认知无线电网络中的分布式动态频率选择和功率分配策略进行建模分析,通过建立合作来协调认知节点间的行为,从而提高分布式决策算法的性能,并建立了一个模块化的通用仿真平台。仿真结果表明,该分布式算法能够以较快的速度收敛于系统稳定状态,且复杂度低、实现简单。
A game theoretic solution for distributed dynamic frequency selection and power control policy in cognitive radio networks was proposed. Cognitive users could be coordinated by cooperation to improve the performance of distributed decision algorithm. Simulation results carried on a module based general simulation platform show that the proposed scheme can converge to system stable status rapidly with low implementation flexibility.