Reduced-complexity MAP-based iterative multiuser detection for coded multicarrier CDMA systems

Junqiang Li, Khaled Letaief, Zhigang Cao

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

In recent years, combining multiuser detection (MUD) and channel decoding has received considerable attention. The maximum a posteriori (MAP) criterion-based iterative multiuser detector greatly improves the system performance and can approach the performance of single-user coded systems. However, its complexity increases exponentially with the number of users and can become prohibitive for systems with a medium-to-large number of users. In this paper, a reduced complexity MAP-based iterative MUD based on the use of a soft sensitive bits algorithm is proposed for coded multicarrier code-division multiple-access systems. It is shown that it can greatly reduce the computational complexity with a minimal penalty in performance compared to the conventional optimal scheme.

Original languageEnglish
Pages (from-to)1909-1915
Number of pages7
JournalIEEE Transactions on Communications
Volume52
Issue number11
DOIs
Publication statusPublished - Nov 2004
Externally publishedYes

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Keywords

  • Coded multicarrier code-division multiple access (MC-CDMA)
  • Iterative multiuser detection (MUD)
  • Maximum a posteriori (MAP) detection
  • Turbo processing

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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