• DocumentCode
    2943399
  • Title

    A Proof of the Converse for the Capacity of Gaussian MIMO Broadcast Channels

  • Author

    Mohseni, Mehdi ; Cioffi, John M.

  • Author_Institution
    Dept. of Electr. Eng., Stanford Univ., CA
  • fYear
    2006
  • fDate
    9-14 July 2006
  • Firstpage
    881
  • Lastpage
    885
  • Abstract
    The paper provides a proof of the converse for the capacity region of the Gaussian MIMO broadcast channel under total average transmit power constraint. The proof uses several ideas from earlier works on the problem including the recent converse proof by Weingarten, Steinberg and Shamai. First the duality between Gaussian multiple access and broadcast channels is employed to show that every point on the boundary of the dirty paper coding region can be represented as the optimal solution to a convex optimization problem. Using the optimality conditions for this convex problem, a degraded broadcast channel is constructed for each point. It is then shown that the capacity region for this degraded broadcast channel contains the capacity region of the original channel. Moreover, the same point lies on the boundary of the dirty paper coding region for this degraded channel. Finally, the standard entropy power inequality is used to show that this point lies on the boundary of the capacity region of the degraded channel as well and consequently it is on the boundary of the capacity region of the original channel
  • Keywords
    Gaussian channels; MIMO systems; broadcast channels; channel capacity; channel coding; multi-access systems; optimisation; wireless channels; Gaussian MIMO broadcast channels; Gaussian multiple access; channels capacity; convex optimization problem; dirty paper coding region; entropy power inequality; transmit power constraint; Broadcasting; Channel capacity; Degradation; Entropy; Gaussian noise; MIMO; Receiving antennas; Transmitters; Transmitting antennas; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2006 IEEE International Symposium on
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    1-4244-0505-X
  • Electronic_ISBN
    1-4244-0504-1
  • Type

    conf

  • DOI
    10.1109/ISIT.2006.261785
  • Filename
    4036090