Jointly optimal congestion and contention control based on network utility maximization
Publication
, Journal Article
Lee, JW; Chiang, M; Calderbank, AR
Published in: IEEE Communications Letters
March 1, 2006
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. © 2006 IEEE.
Duke Scholars
Published In
IEEE Communications Letters
DOI
ISSN
1089-7798
Publication Date
March 1, 2006
Volume
10
Issue
3
Start / End Page
216 / 218
Related Subject Headings
- Networking & Telecommunications
- 4606 Distributed computing and systems software
- 4009 Electronics, sensors and digital hardware
- 4006 Communications engineering
- 1005 Communications Technologies
- 0906 Electrical and Electronic Engineering
- 0805 Distributed Computing
Citation
APA
Chicago
ICMJE
MLA
NLM
Lee, J. W., Chiang, M., & Calderbank, A. R. (2006). Jointly optimal congestion and contention control based on network utility maximization. IEEE Communications Letters, 10(3), 216–218. https://doi.org/10.1109/LCOMM.2006.1603389
Lee, J. W., M. Chiang, and A. R. Calderbank. “Jointly optimal congestion and contention control based on network utility maximization.” IEEE Communications Letters 10, no. 3 (March 1, 2006): 216–18. https://doi.org/10.1109/LCOMM.2006.1603389.
Lee JW, Chiang M, Calderbank AR. Jointly optimal congestion and contention control based on network utility maximization. IEEE Communications Letters. 2006 Mar 1;10(3):216–8.
Lee, J. W., et al. “Jointly optimal congestion and contention control based on network utility maximization.” IEEE Communications Letters, vol. 10, no. 3, Mar. 2006, pp. 216–18. Scopus, doi:10.1109/LCOMM.2006.1603389.
Lee JW, Chiang M, Calderbank AR. Jointly optimal congestion and contention control based on network utility maximization. IEEE Communications Letters. 2006 Mar 1;10(3):216–218.
Published In
IEEE Communications Letters
DOI
ISSN
1089-7798
Publication Date
March 1, 2006
Volume
10
Issue
3
Start / End Page
216 / 218
Related Subject Headings
- Networking & Telecommunications
- 4606 Distributed computing and systems software
- 4009 Electronics, sensors and digital hardware
- 4006 Communications engineering
- 1005 Communications Technologies
- 0906 Electrical and Electronic Engineering
- 0805 Distributed Computing