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Author Meyn, S. ♦ Wei Chen ♦ O'Neill, D.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2010
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Other branches of engineering
Subject Keyword Function approximation ♦ Mathematical model ♦ Least squares approximation ♦ Markov processes ♦ Transmitters ♦ Equations
Abstract We present an on-line crosslayer control technique to obtain policies for wireless networks. Our approach combines network utility maximization and adaptive modulation over an infinite discrete-time horizon using a class of performance measures we call ime smoothed utility functions. We model the system as an average-cost Markov decision problem. Model approximations are used to find suitable basis functions for application of least squares TD-learning techniques. The approach yields network control policies that learn the underlying characteristics of the random wireless channel and that approximately optimize network performance.
Description Author affiliation: Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, USA (Meyn, S.; Wei Chen) || Dept. of Electrical Engineering, Stanford University, USA (O'Neill, D.)
ISBN 9781424477456
ISSN 07431546
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2010-12-15
Publisher Place USA
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781424477463
Size (in Bytes) 611.05 kB
Page Count 6
Starting Page 1951
Ending Page 1956


Source: IEEE Xplore Digital Library