• DocumentCode
    2832972
  • Title

    Symmetric capacity of multi-user MIMO downlink under per-base station power constraints

  • Author

    Akbudak, Tarik ; Simsek, Meryem ; Zhao, Bo ; Czylwik, Andreas

  • Author_Institution
    Dept. of Commun. Syst., Univ. of Duisburg-Essen, Duisburg, Germany
  • fYear
    2011
  • fDate
    24-25 Feb. 2011
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    We consider a multiuser multiple-input multiple output (MIMO) Gaussian broadcast channel (BC). Assuming a sum-power constraint over all transmit antennas, the sum capacity of such a system can be achieved with dirty paper coding (DPC) which has been found as a very promising strategy. Rather than the usual sum-power constraint, in this paper we focus on the downlink of a cooperative multicellular network where each transmit antenna has an individual power constraint. This scenario is much more realistic than the case where a sum power constraint is considered, since in practical systems transmit antennas have their own power amplifiers. We extend this approach to the scenario where each base station (BS) is assumed to have an individual power constraint. We propose a capacity calculation algorithm which is able to take both per-BS and per-antenna power constraints into account.
  • Keywords
    Gaussian channels; MIMO communication; antenna arrays; broadcast channels; cellular radio; encoding; power amplifiers; transmitting antennas; cooperative multicellular network; dirty paper coding; multiple-input multiple output Gaussian broadcast channel; multiuser MIMO downlink; per-base station power constraints; power amplifiers; sum-power constraint; symmetric capacity; transmit antennas; Base stations; Covariance matrix; Downlink; MIMO; Noise; Optimization; Transmitting antennas; Broadcast channel (BC); MIMO systems; symmetric capacity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Smart Antennas (WSA), 2011 International ITG Workshop on
  • Conference_Location
    Aachen
  • Print_ISBN
    978-1-61284-075-8
  • Electronic_ISBN
    978-1-61284-073-4
  • Type

    conf

  • DOI
    10.1109/WSA.2011.5741924
  • Filename
    5741924