New approach for massive MIMO detection using sparse error recovery

Jun Won Choi, Byonghyo Shim

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

17 Citations (Scopus)

Abstract

In this paper, we introduce a new symbol detection technique for large-scale multi-input multi-output (MIMO) systems. Based on the observation that detection errors produced by conventional linear detectors tend to be sparse in practical communication regime, we employ compressed sensing techniques to correct the symbol errors from the output of the linear detectors. The proposed symbol detector, referred to as post detection sparse error recovery (PDSR) technique is derived in two steps 1) sparse transform: transforming the original non-sparse system into a sparse error system and 2) sparse error recovery: applying the sparse signal recovery algorithm to estimate the error vector at the output of the transformed system. We show from the asymptotic mean square error (MSE) analysis that the proposed post detection technique based on compressed sensing can bring remarkable performance gains over the conventional detectors. The intensive simulations performed over large-scale MIMO systems also confirm the superiority of the PDSR algorithm.

Original languageEnglish
Title of host publication2014 IEEE Global Communications Conference, GLOBECOM 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3754-3759
Number of pages6
ISBN (Electronic)9781479935116
DOIs
Publication statusPublished - 2014 Feb 9
Externally publishedYes
Event2014 IEEE Global Communications Conference, GLOBECOM 2014 - Austin, United States
Duration: 2014 Dec 82014 Dec 12

Other

Other2014 IEEE Global Communications Conference, GLOBECOM 2014
CountryUnited States
CityAustin
Period14/12/814/12/12

Fingerprint

Detectors
Compressed sensing
symbol
Error detection
Mean square error
Error analysis
Recovery
Communication
regime
simulation
communication
performance

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Communication

Cite this

Choi, J. W., & Shim, B. (2014). New approach for massive MIMO detection using sparse error recovery. In 2014 IEEE Global Communications Conference, GLOBECOM 2014 (pp. 3754-3759). [7037392] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOCOM.2014.7037392

New approach for massive MIMO detection using sparse error recovery. / Choi, Jun Won; Shim, Byonghyo.

2014 IEEE Global Communications Conference, GLOBECOM 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 3754-3759 7037392.

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

Choi, JW & Shim, B 2014, New approach for massive MIMO detection using sparse error recovery. in 2014 IEEE Global Communications Conference, GLOBECOM 2014., 7037392, Institute of Electrical and Electronics Engineers Inc., pp. 3754-3759, 2014 IEEE Global Communications Conference, GLOBECOM 2014, Austin, United States, 14/12/8. https://doi.org/10.1109/GLOCOM.2014.7037392
Choi JW, Shim B. New approach for massive MIMO detection using sparse error recovery. In 2014 IEEE Global Communications Conference, GLOBECOM 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 3754-3759. 7037392 https://doi.org/10.1109/GLOCOM.2014.7037392
Choi, Jun Won ; Shim, Byonghyo. / New approach for massive MIMO detection using sparse error recovery. 2014 IEEE Global Communications Conference, GLOBECOM 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 3754-3759
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