Low-complexity MIMO detection using a list projection technique

Jiun Ying Wu*, Wen-Rong Wu, Nan Chiun Lien

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

It is well known that the maximum likelihood (ML) detection for multiple-input-multiple-output (MIMO) systems requires high computational complexity. As a result, many suboptimal algorithms, achieving a tradeoff between computational complexity and performance, have been proposed. Among these algorithms, the sphere decoding (SD) detector is considered as a very efficient solution. However, the throughput of the SD is not constant and it greatly depends on for channel conditions. In general, the variation of the throughput is very large. As a result, its hardware implementation can be difficult or inefficient. In this paper, a low-complexity ML-like detection algorithm is proposed. While the proposed algorithm has a constant throughput, it can be computationally more efficient than the SD detection. The other advantage that the SD decoder doesn't have is that the proposed algorithm allows an easy tradeoff between complexity and performance.

Original languageEnglish
Title of host publication2nd International Conference on Signal Processing and Communication Systems, ICSPCS 2008 - Proceedings
DOIs
StatePublished - 1 Dec 2008
Event2nd International Conference on Signal Processing and Communication Systems, ICSPCS 2008 - Gold Coast, QLD, Australia
Duration: 15 Dec 200817 Dec 2008

Publication series

Name2nd International Conference on Signal Processing and Communication Systems, ICSPCS 2008 - Proceedings

Conference

Conference2nd International Conference on Signal Processing and Communication Systems, ICSPCS 2008
CountryAustralia
CityGold Coast, QLD
Period15/12/0817/12/08

Keywords

  • Low-complexity algorithm
  • MIMO detection
  • ML decoding
  • Sphere Decoding
  • V-BLAST

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