Mobile power management for maximum battery life in wireless communication networks

Authors:
John M. Rulnick;Nicholas Bambos
Affiliations:
Department of Electrical Engineering, University of California, Los Angeles, Los Angeles, CA;Department of Electrical Engineering, University of California, Los Angeles, Los Angeles, CA
Venue:
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 2
Year:
1996

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Abstract

We address the problem of how a mobile node in a wireless network should vary its transmitter power so that energy consumption is minimized, subject to fixed quality-of-service constraints. Optimal solutions are obtained for channels with stationary, extraneous interference. A simple dynamic power management algorithm based on these solutions is developed. The algorithm is tested by a series of simulations, including the extraneous-interference case and the more general case where multiple, mutually interfering transmitters operate in a therefore highly responsive interference environment. Results show improved network capacity and stability in addition to substantially improved battery lye at the mobile terminals.