• DocumentCode
    1025335
  • Title

    On the Fading-Paper Achievable Region of the Fading MIMO Broadcast Channel

  • Author

    Bennatan, Amir ; Burshtein, David

  • Author_Institution
    Princeton Univ., Princeton
  • Volume
    54
  • Issue
    1
  • fYear
    2008
  • Firstpage
    100
  • Lastpage
    115
  • Abstract
    We consider transmission over the ergodic fading multiple-antenna broadcast (MIMO-BC) channel with partial channel state information at the transmitter and full information at the receiver. Over the equivalent non-fading channel, capacity has recently been shown to be achievable using transmission schemes that were designed for the "dirty paper" channel. We focus on a similar "fading paper" model. The evaluation of the fading paper capacity is difficult to obtain. We confine ourselves to the linear-assignment capacity, which we define, and use convex analysis methods to prove that its maximizing distribution is Gaussian. We compare our fading-paper transmission to an application of dirty paper coding that ignores the partial state information and assumes the channel is fixed at the average fade. We show that a gain is easily achieved by appropriately exploiting the information. We also consider a cooperative upper bound on the sum-rate capacity as suggested by Sato. We present a numeric example that indicates that our scheme is capable of realizing much of this upper bound.
  • Keywords
    MIMO communication; broadcast channels; encoding; fading channels; Gaussian distribution; MIMO broadcast channel; convex analysis; dirty paper channel; dirty paper coding; ergodic fading; fading channel; fading-paper transmission; linear-assignment capacity; multiple-antenna broadcast channel; receiver; sum-rate capacity; transmitter; Broadcasting; Channel capacity; Channel state information; Communication system control; Fading; Helium; MIMO; Surges; Transmitters; Upper bound; Broadcast channel; Sato bound; dirty paper; multiple-input multiple-output (MIMO);
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/TIT.2007.911268
  • Filename
    4418461