Low complexity soft-input soft-output group detection for massive MIMO systems

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

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

2 Citations (Scopus)

Abstract

In this paper, we present a novel soft-input soft-output detector for large-scale MIMO systems that offers substantial complexity reduction over the existing detectors and performance close to the full dimensional symbol detector. The proposed algorithm, termed soft-input soft-output successive group (SSG) detector, detects a subset of symbols successively with an aid of the preprocessing designed to suppress the inter-group interference. In fact, the proposed preprocessor mitigates the effect of interfering symbol groups using a priori information of the undetected groups and a posteriori information of the detected groups. Simulation results performed on large-scale multi-input multi-output (MIMO) systems demonstrate that the proposed SSG detector achieves significant complexity reduction over the conventional approaches with negligible performance loss.

Original languageEnglish
Title of host publicationIEEE International Conference on Communications
Pages4792-4796
Number of pages5
DOIs
Publication statusPublished - 2013 Dec 1
Event2013 IEEE International Conference on Communications, ICC 2013 - Budapest, Hungary
Duration: 2013 Jun 92013 Jun 13

Other

Other2013 IEEE International Conference on Communications, ICC 2013
CountryHungary
CityBudapest
Period13/6/913/6/13

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications

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    Choi, J. W., Lee, B., Shim, B., & Kang, I. (2013). Low complexity soft-input soft-output group detection for massive MIMO systems. In IEEE International Conference on Communications (pp. 4792-4796). [6655332] https://doi.org/10.1109/ICC.2013.6655332