DocumentCode :
1495248
Title :
A Lexicographic Optimization Framework to the Flow Control Problem
Author :
Ros, J. ; Tsai, W.K.
Author_Institution :
Reservoir Labs., Newport Beach, CA, USA
Volume :
56
Issue :
6
fYear :
2010
fDate :
6/1/2010 12:00:00 AM
Firstpage :
2875
Lastpage :
2886
Abstract :
In this paper, a theory of lexicographic optimization for convex and compact feasible sets is presented. Existence, globality, unimodality, and uniqueness of the solution to the problem are proved. Also, necessary and sufficient conditions are derived that establish the relationship between the lexicographic problem and the maxmin problem. This framework is shown to be useful in the problem of designing flow control protocols. Towards this objective, a theory of bottleneck ordering is introduced, which unveils the convergence properties of the flow control problem.
Keywords :
convergence; convex programming; data communication; minimax techniques; telecommunication congestion control; bottleneck ordering theory; convergence property; convex optimization; flow control problem; lexicographic optimization; maxmin problem; Bandwidth; Communication networks; Convergence; Information analysis; Linear programming; Protocols; Reservoirs; Sufficient conditions; Unicast; Lexicographic optimization; linear programming; maxmin; network flow control;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2010.2046227
Filename :
5466532
Link To Document :
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