Femtocell双层网络中基于Stackelberg博弈的节能功率控制算法

摘要

Femtocell is a promising technology to enhance indoor coverage and system capacity. However, dense femtocell deployment can lead to severe co-tier and cross-tier interference. Besides, green communication is attracting more and more research attentions in wireless networks. In this paper, we study the energy-efficient power control problem in the uplink two-tier femtocell networks. To solve the problem, we firstly model the optimization problem as a Stackelberg game and propose a dynamic pricing mechanism to mitigate the cross-tier interference. Then by applying the exponentially-weighted low-pass filter, we obtain the best closed-form response of transmit power. Finally, a distributed optimization power control algorithm is proposed to implement the game. Simulation results show that the proposed algorithm greatly reduces the computational complexity compared with non-cooperative power control algorithm (NPCA) at the cost of slight loss of the energy efficiency.%引入Femtocell网络能增强室内覆盖，但会带来干扰管理问题；而绿色节能也是当前研究的热点。针对该问题，提出一种分布式的基于Stackelberg博弈的节能功率控制算法。该算法采用Stackelberg博弈框架，引入动态的干扰定价机制，抑制家庭用户(FUE)对宏基站的干扰；并应用指数级低通滤波器的思想，得到博弈中干扰定价因子和最优功率反应的闭式解。理论分析和仿真结果表明，与基于非合作博弈的功率控制算法(NPCA)相比，该算法在付出较低能量效率性能损失的代价下，极大地降低了算法的复杂度。