异构网络中基于非合作博弈的功率控制算法

Power Control Algorithm Based on Non-cooperative Game Theory in Heterogeneous Networks

针对异构蜂窝网络中系统能耗较高的问题,提出一种能效优先的基于非合作博弈的功率控制算法。该算法将宏基站间的功率控制过程描述为博弈模型,并在效用函数中引入了基于干扰因素的自适应代价函数,得到各基站的最佳响应策略,之后经过多步迭代调节发射功率,使系统收敛至能效最优的纳什均衡状态。仿真结果表明,所提算法与固定代价函数的功率控制优化算法相比具有较好的收敛性,系统能效有明显的提升,更适用于密集网络。

To overcome the problem of high system energy consumption in heterogeneous cellular networks,a power control algorithm based on non-cooperative game theory is proposed to improve the energy efficiency of the entire network.The algorithm describes the power control strategy between macro base stations in the network as a game process,and the adaptive cost function based on interference factors is introduced in the utility function to get the best response strategy of each base station,after multiple iterations,the transmit power is adjusted to make the system converge to the stable point called Nash equilibrium.The simulation results show that the proposed algorithm has better convergence than the power control optimization algorithm with fixed cost function,and the system energy efficiency is obviously improved and is more suitable for dense networks.