Asymptotic Performance Analysis of the k-th Best Link Selection over Wireless Fading Channels: An Extreme Value Theory Approach

Yazan Hussein Al-Badarneh, Costas Georghiades, Mohamed-Slim Alouini

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

We consider a general selection-diversity (SD) scheme in which the k-th best link is selected from a number of links. We use extreme value theory (EVT) to derive simple closed-form asymptotic expressions for the average throughput, effective throughput and average bit error probability (BEP) for the k-th best link over various channel models that are widely used to characterize fading in wireless communication systems. As an application example, we consider the Weibull fading channel model and verify the accuracy of the derived asymptotic expressions through Monte Carlo simulations.
Original languageEnglish (US)
Pages (from-to)6652-6657
Number of pages6
JournalIEEE Transactions on Vehicular Technology
Volume67
Issue number7
DOIs
StatePublished - Jan 25 2018

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This publication was made possible by the NPRP award [NPRP 8-648-2-273] from the Qatar National Research Fund (a member of The Qatar Foundation). The statements made herein are solely the responsibility of the authors.

Fingerprint

Dive into the research topics of 'Asymptotic Performance Analysis of the k-th Best Link Selection over Wireless Fading Channels: An Extreme Value Theory Approach'. Together they form a unique fingerprint.

Cite this