认知无线网络中基于Sigmoid函数的功率控制算法研究

Research on Power Control Algorithm Based on Sigmoid Function in Cognitive Radio Networks

为了实现认知无线网络中频谱分配公平性以及契合现代化绿色通信的需求,根据非合作博弈论和干扰温度,引入信道状态概念,设计出一种新型功率控制算法,分析了该算法的收敛性、纳什均衡解的存在性和唯一性;该算法不仅可以快速收敛,符合实时通信,而且分布式实施,简单实用;仿真结果表明,相比其他算法,该算法系统干扰小,能源消耗低,具有抗干扰性能,而且在日益多用户网络的情况下,具有低功率、低干扰,提高网络的整体效益,更加符合现代化的绿色通信的需求。

To resolve the problem that the cognitive radio needs to realize the fairness of spectrum of spectrum allocation in the cognitive radio and satisfy the demand of modern green communication,a new utility function considering channel status,non-cooperative game theory and interference temperature is proposed,meanwhile,the convergence and the existent and unique of the Nash equilibrium is proved in this paper.The advantage of the proposed algorithm is not only meet to the real-time communication with rapid convergence but also can be implemented distributively with simple.Compared with the referenced algorithm,simulation show that this algorithm not only can save energy consumption and achieve better anti- noise effect but also can improve the overall effectiveness of the network with low power and low interference and satisfy the demand of modern green communication.