Jointly optimal congestion and contention control based on network utility maximization

We study joint end-to-end congestion control and per-link medium access control (MAC) in ad-hoc networks. We use a network utility maximization formulation, in which by adjusting the types of utility functions, we can accommodate multi-class services as well as exploit the tradeoff between efficienc...

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Bibliographic Details
Published in:IEEE communications letters Vol. 10; no. 3; pp. 216 - 218
Main Authors: Jang-Won Lee, Chiang, M., Calderbank, R.A.
Format: Journal Article
Language:English
Published: New York, NY IEEE 01-03-2006
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
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Summary:We study joint end-to-end congestion control and per-link medium access control (MAC) in ad-hoc networks. We use a network utility maximization formulation, in which by adjusting the types of utility functions, we can accommodate multi-class services as well as exploit the tradeoff between efficiency and fairness of resource allocation. Despite the inherent difficulties of non-convexity and non-separability of the optimization problem, we show that, with readily-verifiable sufficient conditions, we can develop, a distributed algorithm that converges to the globally and jointly optimal rate allocation and persistence probabilities.
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ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2006.1603389