On Improving Gauss-Seidel Iteration for Signal Detection in Uplink Multiuser Massive MIMO Systems

Yinman Lee, Sok Ian Sou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

Gauss-Seidel (GS) iteration can be used to approximate the minimum mean-squared error (MMSE) result of signal detection in uplink multiuser massive MIMO systems. In this paper, we first propose to employ decision in GS iteration to enhance the detection performance in various aspects. Specifically, GS iteration with decision (GSID) converges faster than the conventional GS iteration and performs even better than the exact MMSE detection in terms of the resultant error rate. By virtue of the use of decision, interference cancelation can be employed to lower the dimension of the signal model in the detection process, and therefore the computational complexity can be significantly reduced. In addition, grey region is introduced in the signal constellation for decision, which lessens the error-propagation effect and further improves the error-rate performance.

Original languageEnglish
Title of host publication2018 3rd International Conference on Computer and Communication Systems, ICCCS 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages382-386
Number of pages5
ISBN (Print)9781538663509
DOIs
Publication statusPublished - 2018 Sep 11
Event3rd International Conference on Computer and Communication Systems, ICCCS 2018 - Nagoya, Japan
Duration: 2018 Apr 272018 Apr 30

Publication series

Name2018 3rd International Conference on Computer and Communication Systems, ICCCS 2018

Other

Other3rd International Conference on Computer and Communication Systems, ICCCS 2018
CountryJapan
CityNagoya
Period18-04-2718-04-30

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Artificial Intelligence

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