• DocumentCode
    2456584
  • Title

    Joint and Distributed Linear Precoding for Centralised and Decentralised Multicell Processing

  • Author

    Zhang, Rong ; Hanzo, Lajos

  • Author_Institution
    Sch. of ECS., Univ. of Southampton, Southampton, UK
  • fYear
    2010
  • fDate
    6-9 Sept. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Linear precoding techniques are designed for both joint and distributed Multi-Cell Processing (MCP), where both centralised and decentralised Channel State Information (CSI) exchange scenarios are considered. The outage rate of various linear precoding techniques is investigated in the cell-edge area of a practical three-cell based cooperative scenario under both fully-loaded and lightly-loaded system configurations, when encountering either no tier-one Co-Channel Interference (CCI) or full tier-one CCI. The numerical results demonstrate the superiority of the low-complexity, yet scalable decentralised Distributed Signal-to-Leakage-Noise-Ratio (DSLNR) based linear precoding technique under realistic CSI quantisation and channel-induced feedback error conditions when full tier-one CCI is considered.
  • Keywords
    MIMO communication; cochannel interference; precoding; quantisation (signal); CSI quantisation; DSLNR; channel state information exchange; channel-induced feedback error; cochannel interference; cooperative scenario; decentralised multicell processing; distributed linear precoding; distributed signal-to-leakage-noise-ratio; joint linear precoding; Copper; Joints; MIMO; Niobium; Optimization; Quantization; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference Fall (VTC 2010-Fall), 2010 IEEE 72nd
  • Conference_Location
    Ottawa, ON
  • ISSN
    1090-3038
  • Print_ISBN
    978-1-4244-3573-9
  • Electronic_ISBN
    1090-3038
  • Type

    conf

  • DOI
    10.1109/VETECF.2010.5594090
  • Filename
    5594090