Design of reduced-rank MMSE multiuser detectors using random matrix methods

Linbo Li, Antonia M. Tulino, Sergio Verdu

Research output: Contribution to journalArticle

52 Scopus citations

Abstract

Reduced-rank minimum mean-squared error (MMSE) multiuser detectors using asymptotic weights have been shown to reduce receiver complexity while maintaining good performance in long-sequence code-division multiple-access (CDMA) systems. In this paper, we consider the design of reduced-rank MMSE receivers in a general framework which includes fading, single and multiantenna receivers, as well as direct-sequence CDMA (DS-CDMA) and multicarrier CDMA (both uplink and downlink). In all these cases, random matrix results are used to obtain explicit expressions for the asymptotic eigenvalue moments of the interference autocorrelation matrix and for the asymptotic weights used in the reduced-rank receiver.

Original languageEnglish (US)
Pages (from-to)986-1008
Number of pages23
JournalIEEE Transactions on Information Theory
Volume50
Issue number6
DOIs
StatePublished - Jun 1 2004

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

Keywords

  • Code-division multiple access (CDMA)
  • Fading channels
  • Minimum mean-squared error (MMSE) receivers
  • Multiantenna systems
  • Multicarrier CDMA
  • Multiuser detection
  • Random matrix theory

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