Massive MIMO antenna selection algorithms based on iterative swapping

被引:14
|
作者
Tang, Hua [1 ]
Nie, Zaiping [1 ]
机构
[1] Univ Elect Sci & Technol China, Sch Elect Engn, Chengdu, Sichuan, Peoples R China
关键词
MIMO communication; antenna arrays; iterative methods; computational complexity; optimisation; massive MIMO antenna selection algorithms; capacity maximisation metric; iterative swapping antenna selection method; massive multiple input multiple output; local swapping algorithm; global swapping algorithm; computational complexity reduction; numerical simulations;
D O I
10.1049/el.2017.4346
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Based on capacity maximisation metric, an iterative swapping antenna selection method is proposed for massive multiple-input multiple-output (MIMO). Then a local' swapping algorithm is proposed for massive MIMO antenna selection, which swaps the target antennas locally'. A global' swapping algorithm is also proposed to reduce the computational complexity, which exchanges the target antennas globally'. Both of the proposed algorithms are near optimal, due to the consideration of the influences of the unselected antennas and the selected ones on the antenna to be selected. Last, numerical simulations are provided to validate the proposed algorithms.
引用
收藏
页码:190 / U8
页数:3
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