大规模MIMO系统用户数优化算法  

Number of users optimization for large-scale MIMO systems

作　　者：李晓辉[1] 吴雅颖[1] 黑永强[1] 

机构地区：[1]西安电子科技大学综合业务网理论及关键技术国家重点实验室,陕西西安710071

出　　处：《西安电子科技大学学报》2015年第2期1-6,101,共7页Journal of Xidian University

基　　金：国家自然科学基金资助项目(61201135);国家863计划资助项目(2014AA01A704);高等学校学科创新引智计划资助项目(B08038)

摘　　要：研究了大规模多输入多输出(MIMO)系统的用户数优化算法,将空间自由度引入采用正则化迫零(RZF)预处理的大规模MIMO系统容量分析中,推导了一定空间自由度下的近似系统遍历容量解析表达式.在此基础上,建立了联合正则化因子和用户数优化的系统遍历容量最大化模型,给出了将联合优化问题简化为用户数优化问题的条件.通过二分法得到了优化问题的惟一最优解.仿真和分析表明,所提优化算法可以获得与最优算法几乎相同的系统遍历容量,且计算复杂度低.The large-scale MIMO system using the regularized zero-forcing （RZF） precoding is considered and the space degree of freedom （DOF） is introduced. The expression for the approximate ergodic capacity is derived and the problem of the joint RZF precoding and user number optimization is presented. Theoretical analysis illustrates that the joint optimization problem can be transformed to the user number optimization problem under some conditions. It can be derived that the unique optimum solution can be obtained by using a bisection based joint optimal algorithm. Simulation results show that the proposed algorithm can achieve almost the same capacity as the best optimization algorithm but with a much lower complexity in the large-scale MIMO systems.

关 键 词：大规模多输入多输出 空间自由度 近似容量 正则化迫零 用户数 

分 类 号：TN929.5[电子电信—通信与信息系统]