Joint MS-GSC combining and down-link multiuser diversity scheduling

Slim Ben Halima, Mohamed Slim Alouini, Khalid A. Qaraqe

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Exploiting multi-user diversity is one solution to efficiently use the wireless medium. The basic principle is to assign the resources to the user experiencing the best channel conditions based on a feedback information provided by different users. In this paper, we propose three multiuser scheduling schemes which are combinations between the switch and examine transmission scheme in the network layer and the joint minimum-selection generalized selection combining and adaptive modulation in the physical layer. As a first step, fairness of access is not taken into account in the design of the proposed scheduling schemes. Then, in a second step, the proposed schemes are modified in order to enable them to achieve a certain short term fairness of access. In both cases, we study the performance of the proposed schemes in terms of spectral efficiency, feedback load and rate, and average number of combined and estimated paths. Using some selected numerical examples, the proposed schemes are compared among themselves and also to some recently published schemes.

Original languageEnglish (US)
Pages (from-to)3536-3545
Number of pages10
JournalIEEE Transactions on Wireless Communications
Volume8
Issue number7
DOIs
StatePublished - Jul 2009

Bibliographical note

Funding Information:
Manuscript received June 11, 2007; revised November 27, 2008; accepted March 25, 2009. The associate editor coordinating the review of this paper and approving it for publication was M. Chiang. S. B. Halima is with the Tunisia Polytechnic School, La Marsa, Tunisia. M.-S. Alouini and K. A. Qaraqe are with the Department of Electrical Engineering, Texas A&M University at Qatar, Education City, Doha, Qatar (e-mail: {alouini, khalid.qaraqe}@qatar.tamu.edu). This work was supported in part by the Qatar Foundation for Education, Science, and Community Development and in part by Qatar Telecom. Digital Object Identifier 10.1109/TWC.2009.070629

Keywords

  • Adaptive combining
  • Adaptive modulation
  • Multi-user diversity

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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