• DocumentCode
    2082367
  • Title

    The DoF of network MIMO with backhaul delays

  • Author

    Xinping Yi ; de Kerret, Paul ; Gesbert, David

  • Author_Institution
    Mobile Commun. Dept., EURECOM, Sophia Antipolis, France
  • fYear
    2013
  • fDate
    9-13 June 2013
  • Firstpage
    3318
  • Lastpage
    3322
  • Abstract
    We consider the problem of downlink precoding for Network (multi-cell) MIMO networks where Transmitters (TXs) are provided with imperfect Channel State Information (CSI). Specifically, each TX receives a delayed channel estimate with the delay being specific to each channel component. This model is particularly adapted to the scenarios where a user feeds back its CSI to its serving base only as it is envisioned in future LTE networks. We analyze the impact of the delay during the backhaul-based CSI exchange on the rate performance achieved by Network MIMO. We highlight how delay can dramatically degrade system performance if existing precoding methods are to be used. We propose an alternative robust beamforming strategy which achieves the maximal performance, in DoF sense. We verify by simulations that the theoretical DoF improvement translates into a performance increase at finite Signal-to-Noise Ratio (SNR) as well1.
  • Keywords
    Long Term Evolution; MIMO communication; array signal processing; channel estimation; precoding; radio transmitters; LTE networks; SNR; backhaul delays; backhaul-based CSI exchange; channel component; delayed channel estimation; downlink precoding problem; finite signal-to-noise ratio; imperfect channel state information; multicell MIMO networks; network MIMO DoF; network MIMO networks; precoding methods; rate performance; robust beamforming strategy; system performance; theoretical DoF improvement; transmitters; Array signal processing; Channel estimation; Delays; Estimation error; Interference; MIMO; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2013 IEEE International Conference on
  • Conference_Location
    Budapest
  • ISSN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2013.6655058
  • Filename
    6655058