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Quadratically converging decentralized power allocation algorithm for wireless ad-hoc networks - the max-min framework
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Reference
Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) ,
Toulouse, France,
May 2006.
Abstract
This work focuses on the problem of effective design of resource allocation algorithms for wireless ad-hoc networks with best-effort traffic. Relying on the framework of generalized Lagrangeans and duality we propose an optimization concept combining the decentralization with quadratic quotient convergence and unconstrained iteration character.
Subject areas
- Network / QoS Optimization
- Signal Processing
- Applied Mathematics
IEEEtran BibTeX-Entry
@inproceedings{WSB06qcdp,
author = "Marcin Wiczanowski and Slawomir Stanczak and Holger Boche",
title = "{Quadratically converging decentralized power allocation algorithm for wireless ad-hoc networks - the max-min framework}",
booktitle = "{Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) }",
address = "Toulouse, France",
month = may,
year = "2006",
}
Last modified 17.03.2007 00:25
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