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On the Complexity Reduction of Beam Selection Algorithms for Beamspace MIMO Systems
被引:11
作者:
Zhang, Qianyun
[1
]
Li, Xinwei
[1
]
Wu, Bi-Yi
[2
]
Cheng, Lei
[3
]
Gao, Yue
[4
]
机构:
[1] Beihang Univ, Sch Cyber Sci & Technol, Beijing 100191, Peoples R China
[2] Beijing Inst Technol, Sch Informat & Elect, Ctr Electromagnet Simulat, Beijing 100081, Peoples R China
[3] Shenzhen Res Inst Big Data, Dept Intelligent Informat Syst, Shenzhen 518000, Peoples R China
[4] Univ Surrey, Dept Elect & Elect Engn, Guildford GU2 7XH, Surrey, England
基金:
中国国家自然科学基金;
关键词:
Beam selection;
high dimensional multiuser-MIMO;
beamspace;
precoding;
beamforming;
D O I:
10.1109/LWC.2021.3069650
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
Beamspace multiple-input multiple-output (B-MIMO) provides a promising solution for reducing the number of required expensive radio frequency (RF) chains without obvious performance loss. However, the high computational complexities of beam selection algorithms prohibits their practical applications in 5G millimeter wave (mmWave) massive MIMO communication systems. Reviewing existing beam selection procedures and using the matrix perturbation theory, the complexity reduction on beam selection for beamspace MIMO is considered in this letter. Two beam selection algorithms, one for B-MIMO systems with classic zero-forcing (ZF) precoder and the other for the systems with QR precoder are proposed. Theoretical analyses and numerical simulations all show that the proposed beam selection algorithms possess a much lower complexity than conventional ones.
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页码:1439 / 1443
页数:5
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