Energy optimal control for time varying wireless networks

We develop a dynamic control strategy for minimizing energy expenditure in a time varying wireless network with adaptive transmission rates. The algorithm operates without knowledge of traffic rates or channel statistics, and yields average power that is arbitrarily close to the minimum possible val...

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Bibliographic Details
Published inProceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies Vol. 1; pp. 572 - 583 vol. 1
Main Author Neely, M.J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
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ISBN9780780389687
0780389689
ISSN0743-166X
DOI10.1109/INFCOM.2005.1497924

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Summary:We develop a dynamic control strategy for minimizing energy expenditure in a time varying wireless network with adaptive transmission rates. The algorithm operates without knowledge of traffic rates or channel statistics, and yields average power that is arbitrarily close to the minimum possible value achieved by an algorithm optimized with complete knowledge of future events. Proximity to this optimal solution is shown to be inversely proportional to network delay. We then present a similar algorithm that solves the related problem of maximizing network throughput subject to peak and average power constraints. The techniques used in this paper are novel and establish a foundation for stochastic network optimization.
ISBN:9780780389687
0780389689
ISSN:0743-166X
DOI:10.1109/INFCOM.2005.1497924