Design of Iterative Hybrid Beamforming for Multi-User mmWave Massive MIMO Systems

Pei Yun Tsai, Xiao Sheng Huang

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

1 Scopus citations

Abstract

Hybrid beamforming that combines analog phase shift and digital processing is a promising solution to alleviate the implementation cost and power consumption in millimeter wave (mmWave) massive MIMO systems. To achieve sum rate optimization, an iterative scheme that considers both the analog and digital precoders in the optimization metric is proposed. The digital precoder is mainly used to remove multiple access interference for enhancing the multiplexing gain. Then, the coordinated beamforming procedure between the base station and mobile stations is performed to exploit the array gain. Although the iterative scheme is used, only few iterations are required. This scheme can also be extended to the systems using precoding and combining vectors from quantized codebooks. Furthermore, with the channel reciprocity property or the two-phase training strategy, the iterative scheme can obtain the required channel information. From the simulation results, the sum rate is improved, especially when quantized codebooks are used.

Original languageEnglish
Title of host publicationProceedings of the IEEE Workshop on Signal Processing Systems, SiPS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages123-128
Number of pages6
ISBN (Electronic)9781538663189
DOIs
StatePublished - 31 Dec 2018
Event2018 IEEE Workshop on Signal Processing Systems, SiPS 2018 - Cape Town, South Africa
Duration: 21 Oct 201824 Oct 2018

Publication series

NameIEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation
Volume2018-October
ISSN (Print)1520-6130

Conference

Conference2018 IEEE Workshop on Signal Processing Systems, SiPS 2018
Country/TerritorySouth Africa
CityCape Town
Period21/10/1824/10/18

Keywords

  • codebook
  • Hybrid beamforming
  • iterative algorithm
  • massive MIMO
  • multi-user

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