摘要
基于David Goodman的非合作功率控制博弈方法,本文提出一种适用于认知无线电网络的功率控制博弈算法,对S型有效函数和代价函数进行改进和优化,实现认知用户功率控制的公平性,并证明该算法纳什均衡的存在性。仿真结果表明,该算法使认知用户的总吞吐量提升,发射功率降低,效用提高,且在一定程度上兼顾了系统的公平性。
Based on the non-cooperative power control game created by David Goodman, we propose a new sigmoid efficiency function and an improved pricing function suitable for Cognitive Radio Network （CRN）. This pricing function considers the fair- ness among users, and the existence of the Nash Equilibrium （NE） is proved. Simulation results show that the proposed power control game not only enhances the network throughput, reduces emission power of cognitive users and improves the utility, but also takes into account the system fairness to some extent than other previous schemes.
出处
《计算机与现代化》
2014年第4期118-122,共5页
Computer and Modernization
关键词
认知无线电网络
功率控制
博弈论
代价函数
公平性
cognitive radio networks
power control
game theory
pricing function
fairness
