Large-system analysis of joint channel and data estimation for MIMO DS-CDMA systems

Keigo Takeuchi, Mikko Vehkaperä, Toshiyuki Tanaka, Ralf R. Müller

Research output: Contribution to journalArticleScientificpeer-review

26 Citations (Scopus)

Abstract

This paper presents a large-system analysis of the performance of joint channel estimation, multiuser detection, and per-user decoding (CE-MUDD) for randomly spread multiple-input multiple-output (MIMO) direct-sequence code-division multiple-access (DS-CDMA) systems. A suboptimal receiver based on successive decoding in conjunction with linear minimum mean-squared error (LMMSE) channel estimation is investigated. The replica method, developed in statistical mechanics, is used to evaluate the performance in the large-system limit, where the number of users and the spreading factor tend to infinity while their ratio and the number of transmit and receive antennas are kept constant. Joint CE-MUDD based on LMMSE channel estimation is compared to several methods of one-shot channel estimation, i.e., methods that do not utilize decoded data symbols to refine the initial channel estimates, in terms of spectral efficiency. Joint CE-MUDD is found to significantly reduce the rate loss caused by transmission of pilot signals when compared to the receivers based on one-shot channel estimation. This holds particularly for multiple-antenna systems. As a result, joint CE-MUDD can provide significant performance gains compared to the receivers based on one-shot channel estimation.
Original languageEnglish
Article number6157088
Pages (from-to)1385-1412
JournalIEEE Transactions on Information Theory
Volume58
Issue number3
DOIs
Publication statusPublished - 1 Mar 2012
MoE publication typeA1 Journal article-refereed

Keywords

  • Channel estimation
  • direct-sequence code-division multiple-access (DS-CDMA) schemes
  • iterative receivers
  • large-system analysis
  • linear minimum mean-squared error (LMMSE) estimation
  • multiple-input multiple-output (MIMO) systems
  • multiuser detection (MUD)
  • replica method
  • statistical mechanics
  • successive decoding

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