• DocumentCode
    1960714
  • Title

    An Improved Simulated Annealing Algorithm for the Channel Allocation Problem in cellular networks

  • Author

    Girdinio, P. ; Nervi, M. ; Rossi, M.

  • Author_Institution
    Dept. of Electr. Eng., Genova Univ.
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    126
  • Lastpage
    126
  • Abstract
    Appropriate channel allocation on each cell is one of the most challenging issues in setting up and operating a cellular system, both for its practical importance, as the correct reuse of the available frequencies is crucial to guarantee good quality of service and good operating conditions of filters and power amplifiers, and its inherent difficulty, being the channel allocation problem (CAP) combinatorial, NP-hard and very highly constrained. In this paper an improvement to a simulated annealing based algorithm, in conjunction with several heuristics, is presented to face the problem, and its efficiency in solving a real-world application is shown
  • Keywords
    cellular radio; channel allocation; computational complexity; power amplifiers; power filters; quality of service; simulated annealing; NP-hard problem; cellular networks; channel allocation problem; filters; power amplifiers; quality of service; simulated annealing algorithm; Channel allocation; Intelligent networks; Interference constraints; Land mobile radio cellular systems; Random number generation; Reactive power; Simulated annealing; Switches; Temperature dependence; Temperature distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electromagnetic Field Computation, 2006 12th Biennial IEEE Conference on
  • Conference_Location
    Miami, FL
  • Print_ISBN
    1-4244-0320-0
  • Type

    conf

  • DOI
    10.1109/CEFC-06.2006.1632918
  • Filename
    1632918