基于上行多用户大规模MIMO系统能效优化算法  

Energy-efficient optimal algorithm based on uplink multi-user very large MIMO system

作　　者：胡莹[1,2] 冀保峰[3] 黄永明[1] 俞菲[1] 杨绿溪[1] 

机构地区：[1]东南大学信息科学与工程学院,江苏南京210096 [2]江苏科技大学电子信息学院,江苏镇江212003 [3]河南科技大学信息工程学院,河南洛阳471023

出　　处：《通信学报》2015年第1期68-74,共7页Journal on Communications

基　　金：国家自然科学基金资助项目(61372101;61271018;612001176;61201172);国家科技重大专项基金资助项目(2011ZX03003-003-03;2012ZX03004-005-003;2013ZX03003006-002);江苏省科技计划基金资助项目(BE2012167;BK2011019);教育部博士点新教师基金资助项目(20100092110010)~~

摘　　要：针对上行多用户大规模多输入多输出(MIMO)系统,提出了基于能效优化的资源分配方法。所提方法采用迫零(ZF)接收,以最大化系统能效下界为准则,系统功率消耗考虑电路功率消耗和发射功率消耗2部分,通过联合调整基站端的发射天线数和用户的数据速率来优化能效函数。首先,根据目标函数的性质,证明全局最优速率分配和天线数的存在性和唯一性,然后,根据分数规划的性质,把原始的分数最优化问题转换成减式形式,进而提出一种新的迭代算法。仿真结果表明,所提算法以较少迭代次数取得了接近最优算法的性能。Using the energy efficiency lower bound as the optimization criterion, a resource allocation algorithm was investigated under uplink multi-user very large MIMO systems. Specifically, both the number of antenna arrays at the BS and the transmit data rate at the user are adjusted to maximize the energy efficiency, in which the power consumption accounts for both transmit power and circuit power, meanwhile the BS uses a zero forcing（ZF） receiver. The existence of a unique globally optimal resource allocation solution was demonstrated by exploiting the properties of objective function.Furthermore, by transforming the originally fractional optimization problem into an equivalent subtractive form using the properties of fractional programming, an iterative resource allocation algorithm was developed to achieve the optimum was developed. Simulation results show that the algorithm converge to a near optimal solution only with a small number of iterations.

关 键 词：无线通信 多输入多输出 资源分配 上行系统 能效 

分 类 号：TP393.1[自动化与计算机技术—计算机应用技术]