Multirate layered space-time coding and successive interference cancellation receivers in quasi-static fading channels

M. Sellathurai*, T. Ratnarajah, P. Guinand

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

We investigate the performance of multirate layered space-time coded MIMO systems with successive decoding and interference cancellation (SDIC) receivers in quasi-static Rayleigh fading channels. The proposed framework can be viewed as a class of diagonal layered space-time coded system with each of the layers is encoded independently with different rates subject to equal per-layer outage probabilities. We derive the probability density functions of the per-layer mutual informations, which can be used to estimate the per-layer rates. Using these densities we show that the proposed transceiver increases the outage capacity. We also present simulation results illustrating the outage capacity performance for a variety of transmit and receive antenna combinations and the associated near optimal per-layer rates of input signals. In particular we show that for sufficiently large numbers of transmit and receive antennas, the system can achieve near capacity in quasi-static fading environments. Based on these results, multirate codes are designed using punctured turbo codes and simulation results show significant gains in packet error-rate (PER) performances compared to that of V-BLAST architectures with lower receiver complexities.

Original languageEnglish
Pages (from-to)4524-4533
Number of pages10
JournalIEEE Transactions on Wireless Communications
Volume6
Issue number12
DOIs
Publication statusPublished - Dec 2007

Keywords

  • Bell-Labs layered space-time (BLAST) architecture
  • Minimum mean-square error (MMSE)
  • Multiple-input multiple-output (MIMO) system
  • Multirate layered space-time coding
  • Outage capacity
  • Outage probability
  • Zero-forcing (ZF)

ASJC Scopus subject areas

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

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