异构蜂窝网络中能效优先的用户关联机制

Energy Efficiency First User Association Mechanism in Heterogeneous Cellular Networks

为提高异构蜂窝网络的系统能效,提出一种基于有效速率权重的用户关联与功率控制协同优化算法。设计一种双层迭代算法,求出用户关联指数和最佳传输功率。在功率不变的情况下,外层循环时将总比值形式的问题转化为多项式形式的问题,求得最佳用户关联指数,内层循环时利用牛顿法分配基站的传输功率。实验结果表明,相比MSUA、MSUUA等算法,该算法具有较高的能效值,且能够使更多的用户关联到微基站。

In order to improve the energy efficiency of heterogeneous cellular networks,a collaborative optimization algorithm of user association and power control based on effective rate weight is proposed.A two-level iterative algorithm is designed to calculate the user association index and the optimal transmission power.In the case of constant power,the problem of total ratio form is transformed into a polynomial form in outer loop,and the optimal user association index is obtained.The transmission power of base station is allocated by Newton method in inner loop.Experimental results show that compared with MSUA,MSUUA and other algorithms,this algorithm has higher energy efficiency,and can make more users associated with the micro-base station.