Adaptive Hybrid Beamforming Schemes in Millimeter Wave MIMO Systems

Ang Yun Lu, Yung Fang Chen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Hybrid precoding and combining have been used to reduce the cost and the power consumption of traditional full digital precoding and combining in mmWave MIMO systems. In this paper, we consider a fully-connected hybrid precoding architecture with finite resolution phase shifters. Basically, we first obtain the phases of optimal precoder and combiner, which is obtained through the singular value decomposition (SVD) operation of channel vectors, then these phases are used to construct the RF precoder and combiner. The results show that the proposed algorithm improves the capacity and reduces the complexity compared to the existing orthogonal matching pursuit (OMP)-based algorithm. Besides, an adaptive solution is further proposed to save computational time with competitive performance.

Original languageEnglish
Title of host publication2021 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665433914
DOIs
StatePublished - 25 Aug 2021
Event2021 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2021 - Hualien, Taiwan
Duration: 25 Aug 202127 Aug 2021

Publication series

Name2021 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2021

Conference

Conference2021 IEEE International Symposium on Radio-Frequency Integration Technology, RFIT 2021
Country/TerritoryTaiwan
CityHualien
Period25/08/2127/08/21

Keywords

  • beamforming
  • millimeter-wave (mm-wave)
  • multiple-input-multiple-output (MIMO)

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