Rate-optimal multiuser scheduling with reduced feedback load and analysis of delay effects

Vegard Hassel; Mohamed Slim Alouini; Geir E. Øien; David Gesbert

doi:10.1155/WCN/2006/36424

Rate-optimal multiuser scheduling with reduced feedback load and analysis of delay effects

Vegard Hassel^*, Mohamed Slim Alouini, Geir E. Øien, David Gesbert

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

26 Scopus citations

Abstract

We propose a feedback algorithm for wireless networks that always collects feedback from the user with the best channel conditions and has a significant reduction in feedback load compared to full feedback. The algorithm is based on a carrier-to-noise threshold, and closed-form expressions for the feedback load as well as the threshold value that minimizes the feedback load have been found. We analyze two delay scenarios. The first scenario is where the scheduling decision is based on outdated channel estimates, and the second scenario is where both the scheduling decision and the adaptive modulation are based on outdated channel estimates.

Original language	English (US)
Article number	36424
Pages (from-to)	1-7
Number of pages	7
Journal	EURASIP Journal on Wireless Communications and Networking
Volume	2006
DOIs	https://doi.org/10.1155/WCN/2006/36424
State	Published - 2006
Externally published	Yes

ASJC Scopus subject areas

Signal Processing
Computer Science Applications
Computer Networks and Communications

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abstract = "We propose a feedback algorithm for wireless networks that always collects feedback from the user with the best channel conditions and has a significant reduction in feedback load compared to full feedback. The algorithm is based on a carrier-to-noise threshold, and closed-form expressions for the feedback load as well as the threshold value that minimizes the feedback load have been found. We analyze two delay scenarios. The first scenario is where the scheduling decision is based on outdated channel estimates, and the second scenario is where both the scheduling decision and the adaptive modulation are based on outdated channel estimates.",

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AB - We propose a feedback algorithm for wireless networks that always collects feedback from the user with the best channel conditions and has a significant reduction in feedback load compared to full feedback. The algorithm is based on a carrier-to-noise threshold, and closed-form expressions for the feedback load as well as the threshold value that minimizes the feedback load have been found. We analyze two delay scenarios. The first scenario is where the scheduling decision is based on outdated channel estimates, and the second scenario is where both the scheduling decision and the adaptive modulation are based on outdated channel estimates.

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Rate-optimal multiuser scheduling with reduced feedback load and analysis of delay effects

Abstract

ASJC Scopus subject areas

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