Accurate closed-form approximations to the sum of generalized random variables and applications

Daniel Benevides Da Costa, Michel Daoud Yaeoub

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

9 Scopus citations

Abstract

Accurate closed-form approximations to the sum of independent identically distributed η-μ and κ-μ random variables are provided. The proposed approximations turn out to be simple, precise and find applicability in obtaining important performance metrics of communications systems where sums of variates arise. In particular, outage probability and average bit error rate of some modulation schemes of multibranch equalgain combining receivers are attained to illustrate the usefulness of the approximations. In passing, based on the fading models of the corresponding fading scenarios, exact expressions for these metrics for multibranch maximal-ratio combining receivers are attained that present the same functional form of the corresponding expressions for a single branch.

Original languageEnglish
Title of host publicationWCNC 2008 - IEEE Wireless Communications and Networking Conference, Conference Proceedings
Pages785-790
Number of pages6
StatePublished - 2008
Externally publishedYes

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511

Keywords

  • η-μ sums
  • κ-μ sums
  • Diversity systems
  • Generalized random variables
  • Performance analysis
  • Sums approximation methods

ASJC Scopus subject areas

  • General Engineering

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