On the Complexity Reduction of Beam Selection Algorithms for Beamspace MIMO Systems

Autor:	Yue Gao, Qianyun Zhang, Lei Cheng, Xinwei Li, Bi-Yi Wu
Rok vydání:	2021
Předmět:	Beamforming Control and Systems Engineering Computer science Extremely high frequency MIMO Radio frequency Electrical and Electronic Engineering Algorithm Precoding 5G Beam (structure) Selection (genetic algorithm) Computer Science::Information Theory
Zdroj:	IEEE Wireless Communications Letters. 10:1439-1443
ISSN:	2162-2345 2162-2337
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::81cc9b60bf298348d56f4c1f6df2ccd0 https://doi.org/10.1109/lwc.2021.3069650 Zobrazit plný text záznamu