Title :
A Lexicographic Optimization Framework to the Flow Control Problem
Author :
Ros, J. ; Tsai, W.K.
Author_Institution :
Reservoir Labs., Newport Beach, CA, USA
fDate :
6/1/2010 12:00:00 AM
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;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2010.2046227