Fairness and optimal stochastic control for heterogeneous networks

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Fairness and optimal stochastic control for heterogeneous networks (2008)

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by Michael J. Neely , Eytan Modiano , Chih-ping Li

Venue:	Proc. IEEE INFOCOM, March 2005. TRANSACTIONS ON NETWORKING, VOL
Citations:	265 - 63 self

BibTeX

@INPROCEEDINGS{Neely08fairnessand,
    author = {Michael J. Neely and Eytan Modiano and Chih-ping Li},
    title = {Fairness and optimal stochastic control for heterogeneous networks},
    booktitle = {Proc. IEEE INFOCOM, March 2005. TRANSACTIONS ON NETWORKING, VOL},
    year = {2008},
    pages = {396--409}
}

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Abstract

Abstract — We consider optimal control for general networks with both wireless and wireline components and time varying channels. A dynamic strategy is developed to support all traffic whenever possible, and to make optimally fair decisions about which data to serve when inputs exceed network capacity. The strategy is decoupled into separate algorithms for flow control, routing, and resource allocation, and allows each user to make decisions independent of the actions of others. The combined strategy is shown to yield data rates that are arbitrarily close to the optimal operating point achieved when all network controllers are coordinated and have perfect knowledge of future events. The cost of approaching this fair operating point is an end-to-end delay increase for data that is served by the network.

Keyphrases

optimal stochastic control heterogeneous network future event wireline component flow control network capacity dynamic strategy perfect knowledge combined strategy optimal control optimal operating point fair decision time varying channel data rate fair operating point end-to-end delay increase network controller resource allocation separate algorithm general network

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