大规模MIMO系统中基于迫零预编码的能效优化算法  

Energy Efficiency Optimal Algorithm Based on Zero Forcing Precoding in Massive MIMO System

作　　者：李民政 李艳峰 LI Minzheng;LI Yanfeng(School of Computer and Information Security,Guilin University of Electronic Technology,Guilin,Guangxi 541004,China;Guangxi Information Science Research Center,Guilin,Guangxi 541004,China;Guangxi Key Lab of Trusted Software,Guilin,Guangxi 541004,China)

机构地区：[1]桂林电子科技大学计算机与信息安全学院,广西桂林541004 [2]广西信息科学实验中心,广西桂林541004 [3]广西可信软件重点实验室,广西桂林541004

出　　处：《计算机工程》2018年第7期121-125,130,共6页Computer Engineering

基　　金：国家自然科学基金(61362007);广西信息科学实验中心项目(YB1407);广西可信软件重点实验室基金(KX201414)

摘　　要：在大规模多输入多输出无线通信系统中,为提高能效的利用率,提出一种用于优化下行链路能效的功率分配算法。基于迫零预编码思想推导出速率与用户总功率的解析式。在满足用户最小数据速率要求和基站天线最大发射功率约束的条件下,建立能效优化模型,该模型同时考虑大尺度衰落和阴影衰落的实际功耗。通过对分式规划问题性质的探讨,将原始的约束非凸分式最优化问题转换成减式形式,进而利用拉格朗日定理给出低复杂度的功率分配方案。仿真结果表明,与基于标准干扰函数的算法相比,该算法的系统能效提高明显。A power allocation algorithm for downlink energy efficiency optimization is proposed in Massive Multiple Input Multiple Output（ Massive MIMO） wireless communication system to improve the utilization rate of energy efficiency. Based on the idea of Zero Forcing（ ZF） precoding,the analytic expression of rate and total power of the user is deduced. The energy efficiency optimization model is established under the condition of satisfying the minimum data rate requirement of the user and the maximum transmit power constraint of the base station antenna. The model considers the practical power consumption of both large scale fading and shadow fading. According to the discuss of the properties of fractional programming,the original constraint nonconvex fractional optimization problem is transformed into a subtractive form. Using the Lagrangian theorem,a low complexity power allocation scheme is proposed. Simulation results show that the proposed algorithm can significantly improve the energy efficiency of the system compared with the algorithm based on the standard interference function.

关 键 词：大规模多输入多输出天线系统 下行链路 能效 资源分配 迫零预编码 

分 类 号：TP92[自动化与计算机技术]