A Soft Decode-Compress-Forward Relaying Scheme for Cooperative Wireless Networks

Dushantha N.K. Jayakody, Mark F. Flanagan

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

This paper proposes a new technique for soft information relaying, which is based on a soft decode-compress-forward relay protocol. The proposed system provides a means of using distributed low-density parity-check (LDPC) coding in conjunction with higher order modulation, such as pulse amplitude modulation (PAM) and quadrature amplitude modulation (QAM), which is effective even under poor source-relay link conditions. Ordinarily, such schemes suffer from error propagation to the destination caused by incorrect decoding at the relay when the signal-To-noise ratio (SNR) on the source-relay link is low; however, our system avoids this problem by generating soft versions of the additional (parity-bearing) PAM symbols for transmission from the relay. The proposed technique of soft compression does not suffer from parity log-likelihood ratios (LLRs) converging to zero, as do many soft re-encoding techniques for turbo and LDPC codes. In the case of Gray-coded PAM/QAM signaling, we also propose a method of performing exact expectation-based soft modulation with low computational complexity. Furthermore, we propose a new model, which we refer to as the soft scalar model, for the overall source-To-destination channel encountered by the constellation symbols, and this model is used at the destination to compute LLRs for joint decoding of the distributed LDPC code. Simulation results demonstrate that the proposed scheme can provide good coding gain, diversity gain, and spectral efficiency under poor source-relay SNR conditions.

Original languageEnglish
Article number7118747
Pages (from-to)3033-3041
Number of pages9
JournalIEEE Transactions on Vehicular Technology
Volume65
Issue number5
DOIs
Publication statusPublished - 1 May 2016
Externally publishedYes

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ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Computer Networks and Communications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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