• DocumentCode
    143573
  • Title

    A mathematical modeling approach and a novel solution for sector azimuth angle planning

  • Author

    Imran, Ali ; Yaacoub, Elias ; Dawy, Zaher ; Abu-Dayya, Adnan

  • Author_Institution
    Qatar Mobility Innovations Center (QMIC), Doha, Qatar
  • fYear
    2014
  • fDate
    13-16 April 2014
  • Firstpage
    334
  • Lastpage
    338
  • Abstract
    State of the art planning tools rely on intricate simulation models and metaheuristic approaches to determine the optimal azimuth angle of each sector in a system. The process is highly time consuming and the quality of outcome is heavily dependent on the practitioner´s experience in setting input parameters. To address this problem, in this paper we exploit a mathematical approach and develop a system model that ultimately helps to obtain a low complexity analytical solution. In addition to providing insights into system behaviour as function of azimuth angles, the potential performance gain of the proposed optimisation solution is investigated through extensive numerical results.
  • Keywords
    cellular radio; computational complexity; optimisation; telecommunication network planning; cellular system performance; low complexity analytical solution; mathematical modeling approach; metaheuristic approach; optimal azimuth angle; optimisation solution; performance gain; planning tool; sector azimuth angle planning; simulation model; system behaviour; Antennas; Azimuth; Gain; Linear programming; Mathematical model; Optimization; Planning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mediterranean Electrotechnical Conference (MELECON), 2014 17th IEEE
  • Conference_Location
    Beirut
  • Type

    conf

  • DOI
    10.1109/MELCON.2014.6820556
  • Filename
    6820556