Low complexity detection and precoding for massive MIMO systems

Jun Won Choi, Byungju Lee, Byonghyo Shim, Insung Kang

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

12 Citations (Scopus)

Abstract

Recently, a variety of low complexity soft-input soft-output detection algorithms have been introduced for iterative detection and decoding (IDD) systems. However, it is still challenging to implement soft-input soft-output detector detector at feasible complexity for massive MIMO systems due to the heavy burden in computational complexity. In this paper, we present a novel soft-input soft-output detector for massive MIMO systems that offers substantial complexity reduction over the existing detectors performance close to the full dimensional symbol detector. The proposed soft-input soft-output successive group (SSG) detector detects a subset of symbols successively with an aid of the deliberately designed preprocessing to suppress the inter-group interference. Simulation results performed on 8×8 MIMO flat fading channels demonstrate that the proposed SSG detector achieves significant complexity reduction over the conventional approaches with negligible performance loss.

Original languageEnglish
Title of host publicationIEEE Wireless Communications and Networking Conference, WCNC
Pages2857-2861
Number of pages5
DOIs
Publication statusPublished - 2013 Aug 21
Event2013 IEEE Wireless Communications and Networking Conference, WCNC 2013 - Shanghai, China
Duration: 2013 Apr 72013 Apr 10

Other

Other2013 IEEE Wireless Communications and Networking Conference, WCNC 2013
CountryChina
CityShanghai
Period13/4/713/4/10

ASJC Scopus subject areas

  • Engineering(all)

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    Choi, J. W., Lee, B., Shim, B., & Kang, I. (2013). Low complexity detection and precoding for massive MIMO systems. In IEEE Wireless Communications and Networking Conference, WCNC (pp. 2857-2861). [6555014] https://doi.org/10.1109/WCNC.2013.6555014