• DocumentCode
    2953268
  • Title

    Optimization model for static channel assignment in multi-radio multi-channel wireless mesh networks

  • Author

    Bin Zhou ; Zhao, Zhifeng ; Huang, Aiping ; Chen, Qinqin

  • Author_Institution
    Inst. of Inf. & Commun. Eng., Zhejiang Univ., Hangzhou, China
  • fYear
    2009
  • fDate
    13-15 Nov. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Equipping each node with multiple radios can substantially increase the capacity of wireless mesh networks, because in that way neighbor links can be assigned distinct channels to avoid interference. However, the aggregate network interference still may not be sufficiently reduced due to a rough channel assignment. This paper focuses on the static channel assignment issue of multi-radio multi-channel wireless mesh networks. We propose an integer quadratic programming (IQP) model to minimize the average network interference and use this model to study the impact of radio and channel constraints. Our model considers different data transfer rates of distinct links and simulation results show it can effectively reduce the network interference. Simulation results also reveal that equipping each node with small number of radios might be sufficient for reducing the network interference, which provides a guideline of radio equipment in such networks.
  • Keywords
    channel allocation; integer programming; interference suppression; quadratic programming; wireless mesh networks; aggregate network interference; integer quadratic programming; interference avoidance; neighbor links; optimization model; static channel assignment; wireless mesh networks; Aggregates; Carbon capture and storage; Guidelines; Integer linear programming; Interference constraints; Laboratories; Quadratic programming; Switches; Throughput; Wireless mesh networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications & Signal Processing, 2009. WCSP 2009. International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4856-2
  • Electronic_ISBN
    978-1-4244-5668-0
  • Type

    conf

  • DOI
    10.1109/WCSP.2009.5371694
  • Filename
    5371694