• DocumentCode
    2914134
  • Title

    Artificial Bee Colony Algorithm applied to WiMAX network planning problem

  • Author

    Berrocal-Plaza, Víctor ; Vega-Rodríguez, Miguel A. ; Gómez-Pulido, Juan A. ; Sánchez-Pérez, Juan M.

  • Author_Institution
    Dept. Technol. of Comput. & Commun., Univ. of Extremadura, Caceres, Spain
  • fYear
    2011
  • fDate
    22-24 Nov. 2011
  • Firstpage
    504
  • Lastpage
    509
  • Abstract
    WiMAX (Worldwide Interoperability for Microwave Access) or IEEE 802.16 is a technology developed to provide greater bandwidth and coverage. One of the most important challenges in wireless deploying network is the Base Stations (BS) location to meet traffic and coverage requirements efficiently. In this paper we are using a particularized swarm intelligence algorithm based on collective behavior of honey bees to find good solutions. In order to minimize the interference among cells and reduce energy consumption, we apply a post-processing to obtain power control and sectorization. Simulations results show that our method provides more efficient and better solutions than those are obtained by other evolutionary algorithms in the same instances.
  • Keywords
    WiMax; energy consumption; evolutionary computation; power control; telecommunication network planning; telecommunication traffic; IEEE 802.16; WiMAX network planning problem; artificial bee colony algorithm; base stations location; cell interference; coverage requirements; evolutionary algorithms; microwave access; particularized swarm intelligence; power control; sectorization; traffic requirements; wireless deploying network; worldwide interoperability; Equations; IEEE 802.16 Standards; Layout; Mathematical model; Planning; Power control; WiMAX; Artificial Bee Colony; Artificial Inteligence; WiMAX; Wireless Network Planning Problem;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications (ISDA), 2011 11th International Conference on
  • Conference_Location
    Cordoba
  • ISSN
    2164-7143
  • Print_ISBN
    978-1-4577-1676-8
  • Type

    conf

  • DOI
    10.1109/ISDA.2011.6121706
  • Filename
    6121706