Performance study and optimization of cooperative diversity networks with co-channel interference

Salama Said Ikki, Ubaidulla Pandarakkottilil, Sonia Aïssa

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

In this paper, we investigate the effect of co-channel interference on the performance of cooperative diversity networks with amplify-and-forward (AF) relaying. We consider both conventional and opportunistic relaying. First, we obtain a tight upper-bound for the equivalent signal-to-interference-plus-noise ratio (SINR) at the destination. Subsequently, the cumulative distribution function (CDF), probability density function (PDF) and moment generating function (MGF) of the effective SINR are determined based on the upper-bound. Expressions for the error probabilities in both conventional and opportunistic relaying are derived utilizing the statistical characterization of the effective SINR. We also derive an approximate PDF of the equivalent instantaneous SINR at the destination. This leads to a simple and general asymptotic error probability expression which facilitates better insight into the effect of different system parameters on the error probability. Furthermore, we investigate the problem of optimum resource allocation in the network aiming at improving performance in the presence of resource constraints. We present numerical results that illustrate the excellent match between the analytical results and the simulation results, and the performance enhancement resulting from the proposed optimal resource allocation. © 2014 IEEE.
Original languageEnglish (US)
Pages (from-to)14-23
Number of pages10
JournalIEEE Transactions on Wireless Communications
Volume13
Issue number1
DOIs
StatePublished - Jan 2014

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This work was supported by a Discovery Accelerator Supplement (DAS) Grant from the Natural Sciences and Engineering Research Council (NSERC) of Canada.

ASJC Scopus subject areas

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

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