• DocumentCode
    2746161
  • Title

    Pilot power optimization for autonomous femtocell networks

  • Author

    Al-Rubaye, Saba ; Al-Dulaimi, Anwer ; Cosmas, John

  • Author_Institution
    WNCC, Brunel Univ., Uxbridge, UK
  • fYear
    2011
  • fDate
    20-22 June 2011
  • Firstpage
    170
  • Lastpage
    175
  • Abstract
    Deploying femtocells lead to an incredible increase in macrocell coverage and the capacity of networks. Autonomous femtocell operations can improve the networks normal services, driven by the growth in consumer numbers. Traditional operators shrink the organizational demands to reduce the amount of traffic, which leads to efficient pilot power configuration. A solution is proposed for a dense wireless environment in order to achieve optimal systematic settings. In this paper, a new adaptive pilot power model is introduced at femtocells, to adapt the transmitted power as a function of clients´ positions. In this regard, a novel probability algorithm is developed for power adaptations using mobile station location and speed. This improves the flexibility of the new femtocells in increasing the throughput and reducing power of transmission. Simulation results show the superiority of the new scheme in responding to the changes in the mobile distances, and adjusting the pilot power parameters. The new model of power optimisation is evaluated, to attain the higher levels of network reconfigurability.
  • Keywords
    femtocellular radio; optimisation; telecommunication traffic; adaptive pilot power model; autonomous femtocell network; macrocell coverage; mobile station location; network capacity; pilot power optimization; probability algorithm; traffic; wireless environment; Base stations; Macrocell networks; Mobile computing; Optimization; Throughput; Ultrafast optics; Autonomous; adaptive pilot power; femtocell technology; self-organization; wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Advanced (WiAd), 2011
  • Conference_Location
    London
  • Print_ISBN
    978-1-4577-0110-8
  • Type

    conf

  • DOI
    10.1109/WiAd.2011.5983306
  • Filename
    5983306