• DocumentCode
    1781165
  • Title

    Self-optimized cloud RAN based smart zone

  • Author

    Chih-Hsuan Tang ; Yen-Keui Chen Chen ; Li-Chun Wang

  • Author_Institution
    Chunghwa Telecom Labs., Taoyuan, Taiwan
  • fYear
    2014
  • fDate
    17-19 Sept. 2014
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Due to the exploded demand for mobile traffic and diverse service type, flexible mobile networks with high capacity is drawing lots of research efforts. Distributed large scale (DLS) MIMO has superiority over centralized large scale MIMO and separated small cells due to lower signal loss to users and central control. In this paper, we present a self-optimization method for Cloud RAN based DLS MIMO. The method includes network dimensioning and antenna clustering with adaptability to the migration of hardware/virtualization technology and user over time. Other advantages are easing the process for dimensioning and optimization, requiring fewer antennas, and less demand for controller & baseband computing power due to the characteristic of low complexity.
  • Keywords
    MIMO communication; antenna arrays; cellular radio; centralised control; mobile communication; optimisation; radio access networks; telecommunication control; telecommunication traffic; virtualisation; antenna clustering; baseband computing power; central control; cloud RAN based DLS MIMO system; distributed large scale MIMO system; hardware-virtualization technology; mobile networks; mobile traffic; multiple input multiple output system; network dimensioning; self-optimization method; signal loss; smart zone; Antenna arrays; Clustering algorithms; Heuristic algorithms; Interference; MIMO; Radio access networks; Cloud RAN; Large-scale MIMO; Mobile Networks; Planning; self-optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Operations and Management Symposium (APNOMS), 2014 16th Asia-Pacific
  • Conference_Location
    Hsinchu
  • Type

    conf

  • DOI
    10.1109/APNOMS.2014.6996584
  • Filename
    6996584