Asymptotic analysis of opportunistic relaying based on the max-generalized-mean selection criterion

Xu Chen, Qing F. Zhou, Ting Wai Siu, Chung Ming Lau

Research output: Journal article publicationJournal articleAcademic researchpeer-review

15 Citations (Scopus)


In an opportunistic relaying mechanism, the "best" relay is selected to forward a received signal to the destination. In this paper, we propose a novel criterion to choose the "best" relay, namely the max-generalized-mean (MGM) selection criterion, which encompasses the max-min and the max-harmonic-mean (MHM) selection criteria. We then analyze the asymptotic outage probability of the selection decode-and-forward opportunistic relaying (SDF-OR) protocol under the proposed MGM selection criterion. Based on the asymptotic results, we show the conditions under which the MGM selection framework provides the full diversity. We further optimize the asymptotic outage probability by adjusting the parameters associated with the MGM selection criterion. We show that at high signal-to-noise-ratio (SNR), a lower outage probability can be accomplished by the MGM selection criterion compared with the max-min or the MHM selection criterion for the SDF-OR protocol.
Original languageEnglish
Article number5703196
Pages (from-to)1050-1057
Number of pages8
JournalIEEE Transactions on Wireless Communications
Issue number4
Publication statusPublished - 1 Apr 2011


  • Max-generalized-mean selection criterion
  • opportunistic relaying
  • outage probability
  • selection decode-and-forward protocol

ASJC Scopus subject areas

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


Dive into the research topics of 'Asymptotic analysis of opportunistic relaying based on the max-generalized-mean selection criterion'. Together they form a unique fingerprint.

Cite this