• DocumentCode
    3479609
  • Title

    Channel assignment optimisation using a hyper-heuristic

  • Author

    Kendall, Graham ; Mohamad, M.

  • Author_Institution
    Sch. of Comput. Sci. & IT, Nottingham Univ.
  • Volume
    2
  • fYear
    2004
  • fDate
    1-3 Dec. 2004
  • Firstpage
    791
  • Lastpage
    796
  • Abstract
    The channel assignment problem is a real world problem from the mobile communications industry. The primary objective is to find the minimum frequency bandwidth given different traffic demand distribution within the mobile network, besides fulfilling the channel demand requirement, we must also consider the minimum channel reuse distance in order to avoid the effect of call interference within the same cell or adjacent cells. Previous approaches have used graph-colouring algorithms, heuristic search, neural networks, simulated annealing and genetic algorithms (CA). In this paper, we propose a hyper-heuristic methodology and compare our approach against channel assignment problems from the literature
  • Keywords
    channel allocation; frequency allocation; mobile communication; optimisation; telecommunication traffic; adaptive heuristic search; call interference; channel assignment optimization; channel reuse distance; hyperheuristic methodology; minimum frequency bandwidth; mobile communication; mobile network; traffic demand distribution; Bandwidth; Communication industry; Frequency; Heuristic algorithms; Interference; Mobile communication; Neural networks; Simulated annealing; Telecommunication traffic; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cybernetics and Intelligent Systems, 2004 IEEE Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    0-7803-8643-4
  • Type

    conf

  • DOI
    10.1109/ICCIS.2004.1460689
  • Filename
    1460689