On the performance of two-way multiuser mixed RF/FSO relay networks with opportunistic scheduling & asymmetric channel gains

Yasser F. Al-Eryani, Anas M. Salhab, Salam A. Zummo, Mohamed Slim Alouini

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

3 Scopus citations

Abstract

In this paper, the performance of two-way relaying (TWR) multiuser mixed radio frequency/free space optical (RF/FSO) relay networks with opportunistic user scheduling and asymmetric channel fading is studied. First, closed-form expressions for the exact outage probability, asymptotic (high signal-to-noise ration (SNR)) outage probability, and average ergodic channel capacity are derived assuming heterodyne detection (HD) scheme. Additionally, impacts of several system parameters including number of users, pointing errors, and atmospheric turbulence conditions on the overall network performance are investigated. All the theoretical results are validated by Monte-Carlo simulations. The results show that the TWR scheme almost doubles the network ergodic capacity compared to that of one-way relaying (OWR) scheme with the same outage performance. Additionally, the overall diversity order of the network is shown to be affected not only by the number of users, but it is also a function of the pointing error and atmospheric turbulence conditions.

Original languageEnglish
Title of host publication2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1178-1183
Number of pages6
ISBN (Electronic)9781509043729
DOIs
StatePublished - 19 Jul 2017

Publication series

Name2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Keywords

  • Ergodic capacity
  • Mixed RF/FSO relay network
  • Opportunistic user scheduling
  • Rayleigh fading
  • Two-way relaying
  • Unified Gamma-Gamma fading

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing

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