• DocumentCode
    1935581
  • Title

    Channel capacity prediction for femtocell-macrocell deployment strategies in dense urban environments with high layout of users

  • Author

    Blaunstein, Nathan ; Sergeev, Michail

  • Author_Institution
    Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
  • fYear
    2012
  • fDate
    5-10 Sept. 2012
  • Firstpage
    13
  • Lastpage
    19
  • Abstract
    The optimization of the channel capacity in the new fourth generation (4G) wireless networks became a key issue during the last decade. In this work, the co-existence of macrocell Base Stations (MBSs) and Femtocell Access Points (FAPs) or home base stations (HBS) with shared and dedicated carrier frequency allocations is considered. The simulation framework for analysis of channel capacity improvement in complex urban environment is introduced. The analysis of heterogeneous network consisting of dedicated femtocells for home coverage in a presence of traditional macrocell pattern is presented. The advantages and drawbacks for different deployment strategies are investigated using the proposed simulation framework.
  • Keywords
    4G mobile communication; channel capacity; femtocellular radio; optimisation; wireless channels; 4G wireless network; FAP; HBS; MBS; channel capacity prediction; complex dense urban environment; dedicated carrier frequency allocation; femtocell access point; femtocell-macrocell deployment strategy; fourth generation wireless network; heterogeneous network analysis; home base station; macrocell base station; optimization; shared carrier frequency allocation; Antennas; Buildings; Channel capacity; Interference; Mobile communication; Optimization; Resource management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Problems of Redundancy in Information and Control Systems (RED), 2012 XIII International Symposium on
  • Conference_Location
    St. Petersburg
  • Print_ISBN
    978-1-4673-0168-8
  • Type

    conf

  • DOI
    10.1109/RED.2012.6338397
  • Filename
    6338397