Error Refinement based Iterative Line Search for Symbol Detection in Uplink Massive MIMO

Arijit Datta, Manish Mandloi, Vimal Bhatia

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

1 Citation (Scopus)

Abstract

Massive multiple input multiple output (MIMO) is a key enabling technology for 5G and beyond communication systems. However, devising matrix inversion-less symbol detection techniques for uplink massive MIMO systems is a major challenge for the practical feasibility of 5G and beyond communication systems. In this article, we propose an iterative symbol detection algorithm for near-optimal symbol detection in uplink massive MIMO systems with a large number of users. In the proposed algorithm, first, a low complexity initial solution is utilized to compute the residual error. Next, the estimated actual error is refined through an iterative line search method. Simulation results justify the viability of the proposed detection algorithm than several existing massive MIMO detection algorithms, in terms of bit error rate performance with comparable computational complexity.

Original languageEnglish
Title of host publication2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538681107
DOIs
Publication statusPublished - 09-2019
Event30th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2019 - Istanbul, Turkey
Duration: 08-09-201911-09-2019

Publication series

NameIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
Volume2019-September

Conference

Conference30th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2019
Country/TerritoryTurkey
CityIstanbul
Period08-09-1911-09-19

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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