• DocumentCode
    2053993
  • Title

    Minimax duality of Gaussian vector broadcast channels

  • Author

    Yu, Wei ; Lan, Tian

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Toronto Univ., Canada
  • fYear
    2004
  • fDate
    27 June-2 July 2004
  • Firstpage
    177
  • Abstract
    This paper establishes a connection between the uplink-downlink duality of the Gaussian vector multiple-access channel and broadcast channel and the Lagrangian duality in minimax optimization. This new minimax duality allows the optimal transmit covariance matrix and the least-favorable noise for the broadcast channel to be characterized in terms of the dual variables. Further, it allows uplink-downlink duality to be generalized to broadcast channels with arbitrary linear constraints. In particular, it shows that the dual of a broadcast channel with individual per-antenna power constraint is a multiple-access channel with a diagonal uncertain noise.
  • Keywords
    Gaussian channels; broadcast channels; covariance matrices; duality (mathematics); minimax techniques; multi-access systems; telecommunication links; Gaussian vector broadcast channel; Lagrangian duality; arbitrary linear constraint; minimax duality; minimax optimization; multiple-access channel; optimal transmit covariance matrix; power constraint; uplink-downlink duality; Broadcasting; Channel capacity; Constraint optimization; Constraint theory; Covariance matrix; Gaussian noise; Lagrangian functions; Minimax techniques; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
  • Print_ISBN
    0-7803-8280-3
  • Type

    conf

  • DOI
    10.1109/ISIT.2004.1365212
  • Filename
    1365212