• 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