By Topic

A game theoretic approach to dynamic energy minimization in wireless transceivers

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Iranli, A. ; Dept. of Electr. Eng., Univ. of Southern California, USA ; Fatemi, H. ; Pedram, M.

Adaptive transceivers can significantly reduce the energy consumption of a mobile, battery-powered node by capturing real-time changes in the communication channel. This paper proposes a game-theoretic solution to the optimization of the energy consumption in wireless transceivers. This is accomplished by dynamically adapting the modulation level of the transmitter modulator and the error correction aptitude of the receiver decoder with respect to channel conditions subject to specified average bit-error-rate and throughput constraints. Experimental results demonstrate energy savings of up to 15%.

Published in:

Computer Aided Design, 2003. ICCAD-2003. International Conference on

Date of Conference:

9-13 Nov. 2003