• DocumentCode
    649669
  • Title

    Base station location optimisation in LTE using Genetic Algorithm

  • Author

    Al-Samawi, Aida ; Sali, A. ; Noordin, Nor Kamariah ; Othman, Marini ; Hashim, Fazirulhisyam

  • Author_Institution
    Dept. of Comput. & Commun. Syst. Eng., UPM, Serdang, Malaysia
  • fYear
    2013
  • fDate
    14-16 Oct. 2013
  • Firstpage
    336
  • Lastpage
    341
  • Abstract
    Long Term Evolution (LTE) is a promising technology for mobile communication. This technology is based on reducing the base stations cell size, which will lead to an increment in the number of base stations. As a result, energy consumption will increase. Therefore, there is a need to optimize the LTE base stations transmission power and location to comply with the green technology. In this paper, a Genetic Algorithm (GA) optimization technique is proposed to estimate the best locations for LTE base stations, the optimum number of base stations to be used and the minimum transmission power needed for a given scenario. The proposed system is applied in Kuala Lumpur, Malaysia.
  • Keywords
    Long Term Evolution; genetic algorithms; radio direction-finding; GA optimization technique; Kuala Lumpur; LTE; Long Term Evolution; Malaysia; base station location optimisation; energy consumption; genetic algorithm; green technology; mobile communication; power transmission; Genetic Algorithm; LTE; Radio Network Planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    ICT Convergence (ICTC), 2013 International Conference on
  • Conference_Location
    Jeju
  • Type

    conf

  • DOI
    10.1109/ICTC.2013.6675369
  • Filename
    6675369