• DocumentCode
    2894414
  • Title

    On Uplink Network MIMO under a Constrained Backhaul and Imperfect Channel Knowledge

  • Author

    Marsch, Patrick ; Fettweis, Gerhard

  • Author_Institution
    Dept. of Mobile Commun. Syst., Tech. Univ. Dresden, Dresden, Germany
  • fYear
    2009
  • fDate
    14-18 June 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    It is known that next generation mobile communications systems will most likely employ multi-cell signal processing - often referred to as network MIMO - in order to improve spectral efficiency and fairness. Many publications exist that predict strong achievable rate improvements, but usually neglecting various practical issues connected to network MIMO. In this paper, we analyse the impact of a constrained backhaul infrastructure and imperfect channel knowledge on uplink network MIMO from an information theoretical point of view. Especially the latter aspect leads to the fact that the channel conditions for which network MIMO is reasonably beneficial are strongly constrained. We observe different base station cooperation schemes in scenarios of maximal 3 base stations and 3 terminals, provide simulation results, and discuss the practicability of the discussed schemes and the implications of our results.
  • Keywords
    MIMO communication; cellular radio; mobile radio; telecommunication channels; base station cooperation schemes; mobile communications systems; multi-cell signal processing; spectral efficiency; uplink network MIMO; Additive noise; Base stations; Communications Society; Covariance matrix; Gaussian distribution; MIMO; Mobile communication; Next generation networking; Random variables; Receiving antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2009. ICC '09. IEEE International Conference on
  • Conference_Location
    Dresden
  • ISSN
    1938-1883
  • Print_ISBN
    978-1-4244-3435-0
  • Electronic_ISBN
    1938-1883
  • Type

    conf

  • DOI
    10.1109/ICC.2009.5199272
  • Filename
    5199272