• DocumentCode
    3091603
  • Title

    Traffic-Aware Spectrum Assignment in Wireless Networks

  • Author

    Long, Zhang ; Dashan, Pan ; Yang, Li ; Tao, Fang ; Chao, Liang ; Li, Li

  • Author_Institution
    Lenovo Mobile Commun. Technol. Ltd., Beijing, China
  • fYear
    2011
  • fDate
    28-30 July 2011
  • Firstpage
    208
  • Lastpage
    213
  • Abstract
    Radio frequency spectrum is a finite and scarce resource. However, past research efforts usually assume orthogonal channels of fixed bandwidth, prohibiting the effective use of the spectrum. Recently some work began to explore dynamic channel width adaptation. In this paper, by reducing the optimal channel width adaptation into the "elastic packing" problem, we devise distributed algorithms based on graph multi-interval coloring and max-coloring. We then integrate our algorithms into the multi-radio multi-channel wireless mesh networks. Simulation results show that our schemes can improve network performance significantly.
  • Keywords
    distributed algorithms; telecommunication traffic; wireless channels; wireless mesh networks; distributed algorithms; dynamic channel width adaptation; elastic packing problem; graph multiinterval coloring; multiradio multichannel wireless mesh networks; orthogonal channels; radiofrequency spectrum; traffic-aware spectrum assignment; wireless networks; Adaptation models; Color; Distributed algorithms; Logic gates; Partitioning algorithms; Telecommunication traffic; Vegetation; graph interval coloring; max-coloring; mesh networks; multi-channel; spectrum assignment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Networking, Architecture and Storage (NAS), 2011 6th IEEE International Conference on
  • Conference_Location
    Dalian, Liaoning
  • Print_ISBN
    978-1-4577-1172-5
  • Electronic_ISBN
    978-0-7695-4509-7
  • Type

    conf

  • DOI
    10.1109/NAS.2011.19
  • Filename
    6005462