Adaptive scheduling with postexamining user selection under nonidentical fading

Fakhreddine Gaaloul, Redha Mahmoud Mesleh Radaydeh, Hongchuan Yang, Mohamed-Slim Alouini

Research output: Contribution to journalArticlepeer-review

6 Scopus citations


This paper investigates an adaptive scheduling algorithm for multiuser environments with statistically independent but nonidentically distributed (i.n.d.) channel conditions. The algorithm aims to reduce feedback load by sequentially and arbitrarily examining the user channels. It also provides improved performance by realizing postexamining best user selection. The first part of the paper presents new formulations for the statistics of the signal-to-noise ratio (SNR) of the scheduled user under i.n.d. channel conditions. The second part capitalizes on the findings in the first part and presents various performance and processing complexity measures for adaptive discrete-time transmission. The results are then extended to investigate the effect of outdated channel estimates on the statistics of the scheduled user SNR, as well as some performance measures. Numerical results are provided to clarify the usefulness of the scheduling algorithm under perfect or outdated channel estimates. © 1967-2012 IEEE.
Original languageEnglish (US)
Pages (from-to)4175-4183
Number of pages9
JournalIEEE Transactions on Vehicular Technology
Issue number9
StatePublished - Nov 2012

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01

ASJC Scopus subject areas

  • Automotive Engineering
  • Applied Mathematics
  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Aerospace Engineering


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