Maximum diversity achieving decoders in MIMO decode-and-forward relay systems with partial CSI

Xianglan Jin, Eun Ji Kum, Dae Woon Lim

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

We consider multiple-input multiple-output decode-andforward relay systems in Rayleigh fading channels under the partial channel state information (CSI) that the channel statistics of the source-relay (SR) link and the instantaneous CSI of the sourcedestination and relay-destination links are known at the destination. In this paper, we propose a new near maximum likelihood (near-ML) decoder with two-level pairwise error probability (near- ML-2PEP) which uses the average PEP instead of the exact PEP. Then, we theoretically prove that the near-ML and near-ML-2PEP decoders achieve the maximum diversity, which is confirmed by Monte Carlo simulations. Moreover, we show that the near-ML- 2PEP decoder can also achieve the maximum diversity by substituting the average PEP with the values that represent the error performance of the SR link.

Original languageEnglish
Pages (from-to)26-35
Number of pages10
JournalJournal of Communications and Networks
Volume16
Issue number1
DOIs
StatePublished - 2014

Keywords

  • Decode-and-forward (DF)
  • Maximum likelihood (ML)
  • Multiple-inputmultiple- output (MIMO)
  • Relay

Fingerprint

Dive into the research topics of 'Maximum diversity achieving decoders in MIMO decode-and-forward relay systems with partial CSI'. Together they form a unique fingerprint.

Cite this