Comparison and analysis of massive MIMO linear precoding schemes in the downlink

Emmanuel Mukubwa, Oludare A. Sokoya, Dimov Stojce Ilcev

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

4 Citations (Scopus)

Abstract

Comparison and analysis of the regularized zero forcing (RZF) precoder, Sherman-Morrison-Woodbury (SMW)-based precoder, rapid numerical algorithms (RNA)-based precoder and the truncated polynomial expansion (TPE)-based precoder are compared and analyzed for massive multiple-input multiple-output (MIMO) wireless system in a downlink scenario. The achievable data rates and signal-to-noise ratio (SNR) were investigated. The simulated outcome agrees with the theory of massive MIMO system. Also the RZF precoder, RNA-based precoder and the SMW-based precoder perform better in comparison to TPE-based precoder under good CSI quality and low ratio of transmit to receive antennas.

Original languageEnglish
Title of host publication2017 IEEE AFRICON
Subtitle of host publicationScience, Technology and Innovation for Africa, AFRICON 2017
EditorsDarryn R. Cornish
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages187-191
Number of pages5
ISBN (Electronic)9781538627754
DOIs
Publication statusPublished - 3 Nov 2017
Externally publishedYes
EventIEEE AFRICON 2017 - Cape Town, South Africa
Duration: 18 Sept 201720 Sept 2017

Publication series

Name2017 IEEE AFRICON: Science, Technology and Innovation for Africa, AFRICON 2017

Conference

ConferenceIEEE AFRICON 2017
Country/TerritorySouth Africa
CityCape Town
Period18/09/1720/09/17

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications

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