Efficient outage probability evaluation of diversity receivers over α-μ Fading channels

Chaouki Ben Issaid, Mohamed Slim Alouini, Raul Tempone

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

Abstract

In this paper, we are interested in determining the cumulative distribution function of the sum of α - μ random variables in the setting of rare event simulations. To this end, we present an efficient importance sampling estimator. The main result of this work is the bounded relative error property of the proposed estimator. This result is used to accurately estimate the outage probability of multibranch maximum ratio combining and equal gain diversity receivers over α - μ fading channels. Selected numerical simulations are discussed to show the robustness of our estimator compared to naive Monte Carlo.

Original languageEnglish (US)
Title of host publication2018 IEEE Wireless Communications and Networking Conference, WCNC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538617342
DOIs
StatePublished - Jun 8 2018
Event2018 IEEE Wireless Communications and Networking Conference, WCNC 2018 - Barcelona, Spain
Duration: Apr 15 2018Apr 18 2018

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
Volume2018-April
ISSN (Print)1525-3511

Conference

Conference2018 IEEE Wireless Communications and Networking Conference, WCNC 2018
Country/TerritorySpain
CityBarcelona
Period04/15/1804/18/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Bounded relative error
  • Diversity techniques
  • Importance sampling
  • Monte Carlo
  • Outage probability
  • α-μ

ASJC Scopus subject areas

  • General Engineering

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