计算机工程2017，Vol.43Issue(3)：79-83,5.DOI:10.3969/j.issn.1000-3428.2017.03.014
大规模多输入多输出下的容量优化算法
Capacity Optimization Algorithm Under Massive MIMO
摘要
Abstract
Aiming at the problem of maximizing traverse rate in massive Multiple Input Multiple Output(MIMO) system over the 3D relevant channel,the spatial degrees of freedom and accuracy factor of the available Channel State Information(CSI) are introduced in capacity analysis.System capacity expression is derived under the spatial degrees of freedom and different accuracy of CSI.When capacity is maximized,conditions that the joint optimization problem is simplified into for the user number optimization are given.It can be derived that the unique optimal solution is obtained by using a midpoint.Simulation results show that under the condition that accuracy factor of CSI is 0.1 and the spatial degrees of freedom is 200,the optimal algorithm based on midpoint achieves almost the same capacity and user number as the poor search algorithm based on the number of users and regularization parameter,with rapid convergence speed and lower complexity.关键词
大规模多输入多输出/CSI精准因子/空间自由度/遍历容量/用户数Key words
massive Multiple Input Multiple Output(MIMO)/accuracy factor of Channel State Information(CSI)/spatial degrees of freedom/traversing capacity/user number分类
信息技术与安全科学引用本文复制引用
龙恳,刘月贞..大规模多输入多输出下的容量优化算法[J].计算机工程,2017,43(3):79-83,5.基金项目
国家科技重大专项(2014ZX03003004-003). （2014ZX03003004-003）
