• DocumentCode
    2517670
  • Title

    An efficient femtocell deployment scheme for mitigating interference in two-tier networks

  • Author

    Wang, Hsiu-Lang ; Kao, Shang-Juh

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Nat. Chung Hsing Univ., Taichung, Taiwan
  • fYear
    2012
  • fDate
    12-14 July 2012
  • Firstpage
    79
  • Lastpage
    83
  • Abstract
    In two-tier networks, which consist of macrocells and femtocells, femtocells can offload the traffic from macrocells and provide better indoor signal coverage, but the dynamic deployment feature of femtocells may result in signal interference. In this paper, an efficient femtocell deployment scheme is presented to mitigate interference. Both functions of frequency channel allocation and transmission power adjustment are proposed. Signal coverage of a set of femtocell base stations with interference can also be extended by re-allocation frequency channels. The simulation results show that the proposed deployment scheme mitigates the interference efficiently and has better network performance as compared with co-channel and cognitive deployment approaches.
  • Keywords
    channel allocation; femtocellular radio; frequency allocation; interference suppression; cochannel deployment approach; cognitive deployment approach; dynamic deployment feature; femtocell base stations; femtocell deployment scheme; frequency channel allocation; indoor signal coverage; interference mitigation; macrocells; signal interference; transmission power adjustment; two-tier networks; Base stations; Interchannel interference; Macrocell networks; Radio spectrum management; femtocell; frequency channel re-allocation; interference; macrocell; power control; two-tier networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication, Networks and Satellite (ComNetSat), 2012 IEEE International Conference on
  • Conference_Location
    Bali
  • Print_ISBN
    978-1-4673-0888-5
  • Type

    conf

  • DOI
    10.1109/ComNetSat.2012.6380781
  • Filename
    6380781