基于博弈论的Femtocell双层网络的功率控制算法

在由Macrocell和Femtocell（家庭基站）组成的双层网络中,当Macrocell和Femtocell共享频谱资源时,两层网络之间必然存在信号干扰.文中考虑各Femtocell用户受其余用户的干扰总和是不相等的,将该干扰因子引入代价函数,提出了改进的基于Stackelberg博弈的功率控制方法,证明了该博弈不仅存在纳什均衡,且均衡点唯一.同时,考虑到在博弈均衡后,部分Femtocell用户的信干噪比（SINR）无法满足正常通信的最低SINR要求,提出一种基于自适应干扰控制算法,该算法通过控制部分Femtocell用户对宏基站的干扰,从而增加可正常通信的Femtocell用户数量.Matlab仿真结果表明,改进后的算法不仅能使均衡点唯一,而且提高了Femtocell用户的性能,同时能使更多Femtocell用户满足SINR下限要求.

Power Control Algorithm in Two-tie Femtocell Networks Based on Game Theory

When Macrocell and Femtocell commonly shared the spectrum resources,there must exist the interference in both networks.Considering the mutual interference of each Femtocell user is different,the interference factor was added on the cost function,and then a improved Stackelberg-based power control algorithm was proposed.The existence and uniqueness of the Nash equilibrium are also proved.Meanwhile,considering that some Femtocell users＇ SINR （Signal-to-Interference Noise Ratio） may be lower than the lowest threshold of SINR after equilibrium,a novel adaptive interference control algorithm was proposed for Femtocell networks to increase the number of Femtocell users who achieve their SINR target.Simulation results show that the improved algorithm not only can make the equilibrium point unique,but also improve the performance of the Femtocell users.The adaptive interference control algorithm can make more Femtocell users to obtain their required SINR.