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Title

Game theory for heterogeneous flow control

Author(s)

Tang, Ao;  Andrew, Lachlan L. H.

Abstract

A general framework is developed for networks with flows that use all available congestion signals to regulate their rates. It is conceptually a generalization of the existing network utility maximization (NUM) theory for homogeneous congestion control. Instead of a convex optimization characterization in NUM, a game with multiple convex optimizations is formulated to characterize equilibria in such a network. Examples are provided to motivate the needs of this general theory. We also provide some basic properties of the game and point out some possible future directions along this line.

Publication type

Conference paper

Source

Proceedings of the 42nd Annual Conference on Information Sciences and Systems (CISS 2008), Princeton, New Jersey, United States, 19-21 March 2008, pp. 52-56

Publication year

2008

Keyword(s)

Annual conference;  Basic properties;  Communication;  Congestion control;  Convex optimization;  Cybernetics;  Decision making;  Future directions;  Game theory;  General framework;  General theory;  Heterogeneous flows;  Information management;  Network Utility Maximization;  NUM;  Optimisation

Publisher

IEEE

ISBN

9781424422470

Publisher URL

http://dx.doi.org/10.1109/CISS.2008.4558494

Copyright

Copyright © 2008 IEEE. Published version of the paper reproduced here in accordance with the copyright policy of the publisher. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

Full text

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