Approaching near-capacity on a multi-antenna channel using successive decoding and interference cancellation receivers

Mathini Sellathurai, Paul Guinand, John Lodge

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

In this paper, we address the problem of designing multirate codes for a multiple-input and multiple-output (MEMO) system by restricting the receiver to be a successive decoding and interference cancellation type, when each of the antennas is encoded independently. Furthermore, it is assumed that the receiver knows the instantaneous fading channel states but the transmitter does not have access to them. It is well known that, in theory, minimum-mean-square error (MMSE) based successive decoding of multiple access (in multi-user communications) and MIMO channels achieves the total channel capacity. However, for this scheme to perform optimally, the optimal rates of each antenna (per-antenna rates) must be known at the transmitter. We show that the optimal per-antenna rates at the transmitter can be estimated using only the statistical characteristics of the MIMO channel in time-varying Rayleigh MIMO channel environments. Based on the results, multirate codes are designed using punctured turbo codes for a horizontal coded MEMO system. Simulation results show performances within about one to two dBs of MIMO channel capacity.

Original languageEnglish
Pages (from-to)116-123
Number of pages8
JournalJournal of Communications and Networks
Volume5
Issue number2
DOIs
Publication statusPublished - Jun 2003

Keywords

  • Interference cancellation
  • Minimum-mean-square error (MMSE)
  • Multiple-input multiple-output (MIMO)
  • Multirate coding
  • Per-antenna rates
  • Successive decoding
  • Turbo codes

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications

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