EXIT chart analysis of a reduced complexity iterative MIMO-OFDM receiver

S. Ahmed*, T. Ratnarajah, M. Sellathurai, C. Cowan

*Corresponding author for this work

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

1 Scopus citations

Abstract

The application of Turbo principle in designing receivers for multiple-input multiple-output (MlMO) wireless systems not only achieves practical complexity receiver systems but also near optimal performances for many of the next generation systems. In particular, our recent research has shown that significant performance can be achieved by using a low complexity iterative soft interference cancellation minimum meansquared error (SIC-MMSE) equalizer in various coded MIMO wireless channels including frequency-selective MIMO channels [1]. This performance gain is due to an extrinsic information exchange process between the equalization and the channel decoding stages compared to a traditional system that treats these processes in isolation. However, the challenge faced with these iterative receivers is the understanding of their convergence behaviour. In this paper, to better understand the convergence behaviour of the proposed iterative receiver, we study the notion of extrinsic information transfer (EXIT) characteristics. Using simulations, we derive the extrinsic information trajectory on the EXIT chart at various E b/No ranges to confirm the convergence of the proposed equalizer.

Original languageEnglish (US)
Title of host publication2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring
Pages2430-2434
Number of pages5
DOIs
StatePublished - 2007
Externally publishedYes
Event2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring - Dublin, Ireland
Duration: Apr 22 2007Apr 25 2007

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Other

Other2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring
Country/TerritoryIreland
CityDublin
Period04/22/0704/25/07

ASJC Scopus subject areas

  • Applied Mathematics
  • Electrical and Electronic Engineering
  • Computer Science Applications

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