基于离散粒子群优化的多用户MIMO用户选择

摘要

In order to decrease computation complexity as well as maintain good performance, this paper studied a user selec-tion method for multiuser MIMO based on discrete particle swarm optimization (PSO). The proposed user selection method based on sum-MSE precoding. It showed that with this method, it could support as many users as long as the number of total substreams was no bigger than the transmit antenna number. When the user had less substreams than receive antennas, if could support more users than BD based user selection methods and achieved larger sum rate. Simulation results indicate that this method can obtain a flexible tradeoff between computation complexity and system performance.%为了在降低计算复杂度的同时获得良好的性能,给出了一种基于离散粒子群优化的多用户MIMO用户选择方法.该方法基于sum-MSE预编码,所支持的用户数目取决于接收方的子流数之和,改变了传统的用户选择方法支持的用户接收天线数之和不大于发送天线数的限制.当移动台子流个数小于接收天线数时,所研究的用户选择方法可以增加同时服务的用户个数,获得更高的系统和容量.仿真结果表明,该方法能够在系统性能和复杂度之间进行良好的折中.