• DocumentCode
    2770050
  • Title

    On the capacity of vector Gaussian interference channels

  • Author

    Vishwanath, Sriram ; Jafar, Syed Ali

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
  • fYear
    2004
  • fDate
    24-29 Oct. 2004
  • Firstpage
    365
  • Lastpage
    369
  • Abstract
    The capacity of a vector Gaussian interference channel is investigated. Outer bounds, and where possible, capacity regions of a class of interference channels is characterized. The analysis of single transmit multiple receive antenna (SIMO) Gaussian interference channels with strong interference can be easily seen to be exactly analogous to that of a single transmit single receive antenna system. This paper demonstrates that, in contrast, multiple transmit single receive antenna (MISO) Gaussian interference channels are much harder to characterize. In this paper, the capacity region for a class of MISO interference channels with very strong interference is characterized. Also, the rank of the optimal transmit policy in a MISO Gaussian interference channel is shown to be bounded by the number of users in the system. Finally, outer bounds on the capacity region of the general multiple transmit and receive antenna (MIMO) Gaussian interference channels are derived. A new outer bound is obtained, which combines and improves previously known strategies for bounding the capacity of interference channels.
  • Keywords
    Gaussian channels; MIMO systems; channel capacity; channel coding; receiving antennas; transmitting antennas; MIMO channels; MISO channels; SIMO channels; capacity regions; channel capacity; multiple transmit and receive antennas; multiple transmit single receive antennas; optimal transmit policy; outer bounds; single transmit multiple receive antennas; strong interference; vector Gaussian interference channels; Channel capacity; Closed-form solution; Equations; Interference channels; Interference constraints; MIMO; Receiving antennas; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Workshop, 2004. IEEE
  • Print_ISBN
    0-7803-8720-1
  • Type

    conf

  • DOI
    10.1109/ITW.2004.1405330
  • Filename
    1405330