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

Qianyun Zhang, Xinwei Li, Bi Yi Wu*, Lei Cheng, Yue Gao

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)

Abstract

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.

Original languageEnglish
Article number9390201
Pages (from-to)1439-1443
Number of pages5
JournalIEEE Wireless Communications Letters
Volume10
Issue number7
DOIs
Publication statusPublished - Jul 2021

Keywords

  • Beam selection
  • beamforming
  • beamspace
  • high dimensional multiuser-MIMO
  • precoding

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