• DocumentCode
    3010415
  • Title

    N-Module Based Self-Adaptive Contention Resolution Scheme for WiMAX P2MP Network

  • Author

    Du, Wenfeng ; Ji, Zhen ; Wang, Zhiqiang ; Jia, Weijia

  • Author_Institution
    Dept. of Comput. Sci. Coll. of Inf. Eng., Shenzhen Univ. Shenzhen, Shenzhen
  • fYear
    2008
  • fDate
    25-27 Sept. 2008
  • Firstpage
    520
  • Lastpage
    525
  • Abstract
    Currently, the truncated binary exponential backoff based scheme had been defined as the mandatory contention resolution scheme in WiMAX standards. However, it had been discussed in many research that these schemes can not work perfectly with WiMAX in most cases. In this paper, a novel N modules based self-adaptive contention resolution scheme has been proposed, which divides all Subscriber Stations into several groups according to the number of available transmission opportunities in each frame and requires each Subscriber Station send bandwidth request during its group time. Meanwhile, the number of available transmission opportunities will be self-adaptively updated by Base Station according to the average collision probability presented in last frame. The analysis and simulation results show our scheme can improve the performance of whole network remarkably.
  • Keywords
    WiMax; bandwidth allocation; peer-to-peer computing; probability; subscriber loops; WiMAX P2MP network; WiMAX standards; bandwidth request; collision probability; mandatory contention resolution scheme; self-adaptive contention resolution scheme; subscriber stations; truncated binary exponential backoff based scheme; Analytical models; Bandwidth; Base stations; Computer science; DSL; Downlink; Frequency conversion; High performance computing; Road accidents; WiMAX; Bandwidth request; Contention Resolution; WiMAX;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    High Performance Computing and Communications, 2008. HPCC '08. 10th IEEE International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-0-7695-3352-0
  • Type

    conf

  • DOI
    10.1109/HPCC.2008.122
  • Filename
    4637741