• DocumentCode
    3254866
  • Title

    Resource Allocation in OFDMA Femto Networks

  • Author

    Ghosh, Debashis ; Mohapatra, Prasant

  • Author_Institution
    Dept. of Comput. Sci., Univ. of California at Davis, Davis, CA, USA
  • fYear
    2013
  • fDate
    July 30 2013-Aug. 2 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Femtocells offer many advantages in wireless networks such as improved cell capacity and coverage in indoor areas. As these femtocells can be deployed in an ad-hoc manner by different consumers in the same frequency band, the femtocells can interfere with each other. To fully realize the potential of the femtocells, it is necessary to allocate resources to them in such a way that interference is mitigated. We propose a distributed resource allocation algorithm for femtocell networks that is modelled after link-state routing protocols. Resource Allocation using Link State Propagation (RALP) consists of a graph formation stage, where individual femtocells build a view of the network, and an allocation stage, where every femtocell executes an algorithm to assign OFDMA resources to all the femtocells in the network. Our evaluation shows that RALP performs better than existing femtocell resource allocation algorithms with respect to spatial reuse and satisfaction rate of required throughput.
  • Keywords
    OFDM modulation; femtocellular radio; frequency division multiple access; interference suppression; routing protocols; OFDMA femto networks; RALP; ad hoc deployment; allocation stage; distributed resource allocation algorithm; graph formation stage; improved cell capacity; interference mitigation; link state propagation; link-state routing protocols; spatial reuse; throughput satisfaction rate; wireless networks; Femtocell networks; Femtocells; Gold; Interference; OFDM; Resource management; Tiles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communications and Networks (ICCCN), 2013 22nd International Conference on
  • Conference_Location
    Nassau
  • Print_ISBN
    978-1-4673-5774-6
  • Type

    conf

  • DOI
    10.1109/ICCCN.2013.6614184
  • Filename
    6614184