Multi-user MIMO Broadcast System Grouping Strategy Based on Particle Swarm Optimization

被引：0
|
作者：
Hei Yong-qiang [1 ]
Li Xiao-hui [1 ]
Yi Ke-chu [1 ]
Li Wen-tao [1 ]
机构：
[1] Xidian Univ, State Key Lab Integrated Serv Networks, Xian 710071, Shaanxi, Peoples R China
来源：
2009 INTERNATIONAL CONFERENCE ON ADVANCED INFORMATION NETWORKING AND APPLICATIONS | 2009年
关键词：
downlink; grouping; capacity; particle swarm optimization; ALGORITHMS;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
A new grouping strategy based on particle swarm optimization (PSO) is proposed for the multiuser MIMO broadcast systems in this paper. Aiming at maximizing the system capacity, the PSO algorithm is introduced to seek the best users group. Besides, two objective functions in PSO applicable for the cases of different requirements on capacity and complexity are also presented, which can be denoted as PSO_I algorithm and PSO_II algorithm respectively. Simulation results reveal that the PSO_I strategy achieves nearly the same capacity performance to the optimal exhaustive search (ES) algorithm, and the PSO_II algorithm is slightly worse than PSO_I algorithm in terms of capacity performance, but with lower complexity.
引用
收藏
页码：212 / 216
页数：5
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