An efficient switching threshold-based scheduling protocol for multiuser cognitive AF relay networks

Anas M. Salhab, Salam A. Zummo

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

Abstract

The multiuser switched diversity (MUSwiD) selection scheme is useful in reducing the required amount of channel estimations and system complexity in wireless networks. In this paper, we propose and evaluate the performance of cognitive amplify-And-forward (AF) MUSwiD relay networks where a cognitive user is selected among a set of users for data reception. The selection process is performed such that the end-To-end (e2e) signal-To-noise ratio (SNR) of the selected user satisfies a predetermined switching threshold. An upper bound on the e2e SNR of a user is used in deriving closed-form approximations for the outage probability and average symbol error probability (ASEP) of the studied system. To get more insights about the system performance, the behavior is studied in the high SNR regime. The derived analytical and asymptotic expressions are verified by Monte-Carlo simulations. Main results illustrate that the diversity order of the studied cognitive AF multiuser switched diversity relaying network is the same as its non cognitive counterpart. Also, findings show that the asymptotic results tightly converge to the derived bounds and the analytical bounds are indeed very tight, validating the accuracy of our methodology. Finally, results show the effectiveness of the proposed MUSwiD scheduling scheme in reducing the channel estimation load compared to the opportunistic scheduling where the best user is always assigned the system resources.

Original languageEnglish
Title of host publication2016 IEEE Wireless Communications and Networking Conference, WCNC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781467398145
DOIs
StatePublished - 2016

Publication series

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

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

  • Amplify-And-forward
  • Rayleigh fading
  • cognitive relay network
  • multiuser switched diversity

ASJC Scopus subject areas

  • General Engineering

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