异构蜂窝网络中基于Stackelberg博弈的能效优化算法

设备到设备(Device To Device,D2D)通信允许移动终端无需通过基站而进行直接通信。为提高蜂窝系统能效,引入D2D通信共享频谱资源形成异构蜂窝网络。本文将D2D通信的能效优化问题转化为博弈收益最大化问题,并提出了一种基于Stackelberg博弈的分布式功率控制算法。针对系统模型中存在的跨层干扰以及层内干扰,该算法建立了干扰价格系数与D2D对发送功率之间的函数关系,并求解出给定干扰价格系数下D2D对最佳发送功率的闭合表达式。仿真结果表明所提算法能够在最大化基站端蜂窝用户收益的基础上有效提高D2D对的总能效。 

Energy efficiency optimization algorithm for heterogeneous cellular network based on Stackelberg game

Device To Device (D2D) communication allows mobile terminals to communicate directly without going through the base station. In order to improve the energy efficiency of cellular systems, D2D communication which shared the spectrum with cellular was introduced to form a heterogeneous cellular network. The D2D communication energy efficiency optimization problem was transformed into the maximization problem of game revenue in this paper, and a distributed power control algorithm based on Stackelberg game was proposed. The functional relationship between interference price coefficient and D2D transmission power was established for cross-tier interference and inter-tier interference existing in the system model. And the closed expression of the best D2D transmission power had been calculated under the given interference price coefficient in this algorithm. Simulation results show that the proposed algorithm can effectively improve the overall energy efficiency of D2D communication on the basis of maximizing the gains of cellular users at the base station.