基于博弈论的认知无线电的频谱负载平衡

Load balancing algorithm in cognitive radio systems based on game theory

为了提高频谱资源的使用效率并在分布环境下支持QoS,提出认知无线电系统中基于博弈论的频谱负载平衡算法。通过构造支付函数,建立了负载平衡问题的非合作博弈数学模型,利用最佳响应求得纳什均衡解,根据各分配请求的QoS要求应用均衡战略来调整资源分配,以达到频谱利用最优化的目的。仿真表明:该算法可以在避免干扰的情况下有效地利用带宽资源,实现负载均衡;算法的收敛性也得到验证。

To improve efficiency of spectrum usage and supporting of QoS in distributed environment, spectrum load balancing algorithm based on the game theory was proposed. The non-cooperation game model was established by designing payoff function. NASH equilibrium solution was calculated through best reply. Based on QoS requirement of allocation demands source allocation was done imposing equilibrium strategies for optimality spectrum usage. Simulation results show it can utilize the bandwidth efficiently, and achieve the balance of load. Converge of algorithm is verified.