• DocumentCode
    1727598
  • Title

    Self-optimization of remote electrical tilt

  • Author

    Yilmaz, Osman N C ; Hämäläinen, Jyri ; Hämäläinen, Seppo

  • Author_Institution
    Dept. of Commun. & Networking, Aalto Univ., Espoo, Finland
  • fYear
    2010
  • Firstpage
    1128
  • Lastpage
    1132
  • Abstract
    The capacity and coverage area of a cell may vary due to changed environment, insertion or deletion of base stations, or malfunctioning base stations, and wrong parameter selection in the network planning phase. Suboptimal capacity and coverage area leads to the waste of network resources and the lower quality. Reacting on the changed situation manually is very expensive and time consuming. Therefore, 3GPP introduces Coverage and Capacity Optimization (CCO) use case for LTE and LTE-Advanced technologies. In this paper, we focus on the self-optimization of remote electrical tilt from the perspective of CCO. Simulation studies are performed for best-effort traffic, and resource fair scheduling by using LTE snap-shot simulator where propagation and uneven user distribution is modeled in three dimensions for a realistic macro-cellular network scenario.
  • Keywords
    3G mobile communication; Long Term Evolution; cellular radio; optimisation; telecommunication network planning; telecommunication traffic; 3GPP; CCO; LTE snap-shot simulator; best-effort traffic; coverage and capacity optimization; macrocellular network; malfunctioning base station; network planning; parameter selection; remote electrical tilt; self-optimization; suboptimal capacity; Antennas; Computer architecture; Interference; Optimization; Planning; Signal to noise ratio; Throughput; LTE; Remote Electrical Tilt; SON; Self-optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal Indoor and Mobile Radio Communications (PIMRC), 2010 IEEE 21st International Symposium on
  • Conference_Location
    Instanbul
  • Print_ISBN
    978-1-4244-8017-3
  • Type

    conf

  • DOI
    10.1109/PIMRC.2010.5672065
  • Filename
    5672065