• DocumentCode
    1991378
  • Title

    Lagrangian relaxation approach for low complexity channel assignment in multi-cell wlans

  • Author

    Elwekeil, Mohamed ; Alghoniemy, Masoud ; Furukawa, Hiroshi ; Muta, Osamu

  • Author_Institution
    Electron. & Commun. Eng. Dept., Egypt-Japan Univ. of Sci. & Technol., Alexandria, Egypt
  • fYear
    2013
  • fDate
    28-31 Jan. 2013
  • Firstpage
    138
  • Lastpage
    142
  • Abstract
    The Channel assignment problem for multi-cell WLANs is important due to the lack of free available channels. Usually, this problem can be formulated as a mixed integer linear program (MILP) which requires high combinatorial complexity. In this paper, a lagrangian relaxation technique is used in order to transform the MILP into a low complexity linear program. Simulation results show that the proposed channel assignment algorithm provides significant reduction in complexity compared to the MILP counterpart at the expense of insignificant increase in total interference-sum at Access Points (APs). It is also suggested that the benefits of reduced complexity outweigh the increased interference.
  • Keywords
    channel allocation; communication complexity; integer programming; linear programming; radiofrequency interference; wireless LAN; AP; Lagrangian relaxation approach; MILP counterpart; access points; combinatorial complexity; complexity outweigh; interference-sum; low complexity channel assignment; low complexity linear program; mixed integer linear program; multicell WLAN; Conferences; Decision support systems; Handheld computers; IEEE 802.11; WLAN; channel assignment; lagrangian relaxation; mixed integer linear programming; optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Networking and Communications (ICNC), 2013 International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4673-5287-1
  • Electronic_ISBN
    978-1-4673-5286-4
  • Type

    conf

  • DOI
    10.1109/ICCNC.2013.6504069
  • Filename
    6504069