• DocumentCode
    138548
  • Title

    On remote radio head selection for the downlink of backhaul constrained network MIMO systems

  • Author

    Seok-Hwan Park ; Simeone, Osvaldo ; Sahin, Ozge ; Shamai, Shlomo

  • Author_Institution
    New Jersey Inst. of Technol., Newark, NJ, USA
  • fYear
    2014
  • fDate
    19-21 March 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    A relevant architecture to enable network MIMO in cellular systems consists of a central unit that is connected to remote radio heads (RRHs) via a shared wireless backhaul link. This letter studies the impact of RRH selection in this system under the two extreme scenarios of perfect and stale channel state information (CSI) at the central unit. It is shown that in both cases, RRH selection based on the instantaneous conditions or the long-term statistics of the backhaul links and of the access channels (i.e., from RRHs to mobile stations) significantly improves the sum-rate performance. The presented results also demonstrate that, in the presence of shared backhaul limitations, the classical precoding design based on the maximization of the number of degrees of freedom (DOFs) on the access channels leads to strictly suboptimal performance even when the access channels operate in the high SNR regime.
  • Keywords
    MIMO communication; cellular radio; telecommunication channels; CSI; DOF; RRH selection; SNR regime; access channels; backhaul constrained network MIMO system downlink; backhaul limitations; cellular systems; central unit; channel state information; classical precoding design; degrees of freedom; mobile stations; remote radio head selection; statistics; sum-rate performance; wireless backhaul link; Antennas; Lead; MIMO; Mobile communication; Signal to noise ratio; Network MIMO; cloud radio access network; constrained backhaul; degrees of freedom; distributed antenna system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Sciences and Systems (CISS), 2014 48th Annual Conference on
  • Conference_Location
    Princeton, NJ
  • Type

    conf

  • DOI
    10.1109/CISS.2014.6814075
  • Filename
    6814075