Conference Proceedings

Game theory for heterogeneous flow control

A Tang, LLH Andrew

CISS 2008, The 42nd Annual Conference on Information Sciences and Systems | Published : 2008


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. © 2008 IEEE.

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