• DocumentCode
    872027
  • Title

    A two-phase genetic K-means algorithm for placement of radioports in cellular networks

  • Author

    Abolhassani, Bahman ; Salt, J. Eric ; Dodds, David E.

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Saskatchewan, Saskatoon, Sask., Canada
  • Volume
    34
  • Issue
    1
  • fYear
    2004
  • Firstpage
    533
  • Lastpage
    538
  • Abstract
    This paper proposes a two-phase hybrid algorithm for optimal placement of radioports. The placement strategy minimizes the dynamic range of the channel, and thus reduces the peak transmit power needed by a wireless handset. The performance of the proposed algorithm is compared with that of an exhaustive search, as well as with that of a simplex algorithm. Simulation results show that the two-phase hybrid algorithm, although suboptimal, outperforms the simplex algorithm with only a modest increase in computation time. It has the added advantage of being quite insensitive to the seed solution.
  • Keywords
    cellular radio; genetic algorithms; indoor radio; cellular network; optimal radioport placement; peak transmit power; simplex algorithm; two-phase genetic k-means algorithm; two-phase hybrid algorithm; wireless handset; Batteries; Clustering algorithms; Computational modeling; Cost function; Dynamic range; Genetics; Hopfield neural networks; Intelligent networks; Land mobile radio cellular systems; Telephone sets;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4419
  • Type

    jour

  • DOI
    10.1109/TSMCB.2003.817073
  • Filename
    1262522