电讯技术2017，Vol.57Issue(6)：698-702,5.DOI:10.3969/j.issn.1001-893x.2017.06.014
二进制猫群算法在大规模MIMO天线选择中的应用
Application of Binary Cat Swarm Optimization in Large-scale MIMO Antenna Selection
摘要
Abstract
The antenna selection technique balances the performance and hardware cost in the multiple input multiple output(MIMO) systems,but the complexity issue of the large-scale transmit and receive antenna selection on MIMO system has not been fully solved.According to the criterion of maximizing channel capacity,in this paper,two binary coding strings are used to represent the selected states of the transmitter and receiver antennas respectively,and binary cat swarm optimization (BCSO) is applied to multiple antenna selection.The formula of MIMO channel capacity is used as the fitness value of the cats,then the problem of transmit and receive antenna selection is transformed into the location optimization of the cats.The antenna selection model with BCSO is established and and its implementation steps are given.The simulation results show that,the proposed algorithm has better convergence and lower computational complexity than the method based on matrix simplification and particle swarm optimization (PSO) algorithm,mnoreover it can get closer to the optimal algorithm in the aspect of channel capacity.The proposed algorithm is very suitable for the MIMO system with a large number of antennas in joint transmit and receive antenna selection.关键词
多输入多输出/天线选择/二进制猫群算法/信道容量/粒子群优化算法Key words
multiple input multiple output (MIMO)/antenna selection/binary cat swarm optimization/channel capacity/particle swarm optimization algorithm分类
信息技术与安全科学引用本文复制引用
李淑梅,庄铭杰,庄弘..二进制猫群算法在大规模MIMO天线选择中的应用[J].电讯技术,2017,57(6):698-702,5.基金项目
福建省自然基金计划项目(2012J01270) （2012J01270）
泉州市科技计划重点项目(2012Z82) （2012Z82）
华侨大学自然科学基金(11BS430) （11BS430）
2015级华侨大学研究生科研创新能力培养项目(1511322002) （1511322002）
