An efficient near-ML algorithm with SQRD for wireless MIMO communications in metro transportation systems

Chien Hung Pan*, Ta-Sung Lee, Yiming Li

*Corresponding author for this work

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

12 Scopus citations

Abstract

A high-speed multiple input multiple output (MIMO) wireless communication system is proposed for metro transportation. In order to better mitigate the inter-antenna interference (IAI) which degrades the quality of the MIMO receiver, we propose an efficient hybrid multiuser detection (MUD) technique. This approach consists of a two-stage procedure to achieve the optimum multiuser detector (OMD) by an acceptable computational complexity. The first stage performs interference cancellation by using sorted QR decomposition (SQRD), and the second stage performs the genetic algorithm (GA). It has two significant advantages: 1) The SQRD scheme provides "good initial setting knowledge" to improve the fitness of the population for GA. 2) The effect of fitness calculation is obtained from the QR decomposition (QRD) of a MIMO channel. Simulation results demonstrate that the two-stage procedure obtains a gain of 3 dB to 25 dB than other well-known MUD schemes. The computational complexity of the two-stage procedure can be reduced by 30% with QRD than other fitness calculation scheme in GA-MUD.

Original languageEnglish
Title of host publication10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007
Pages603-606
Number of pages4
DOIs
StatePublished - 1 Dec 2007
Event10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007 - Seattle, WA, United States
Duration: 30 Sep 20073 Oct 2007

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Conference

Conference10th International IEEE Conference on Intelligent Transportation Systems, ITSC 2007
CountryUnited States
CitySeattle, WA
Period30/09/073/10/07

Keywords

  • Evolutionary technique
  • Genetic algorithm
  • Inter-antenna interference
  • Multiple input multiple output
  • Multiuser detection
  • Optimization
  • QR decomposition

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