• DocumentCode
    3573787
  • Title

    Mobile Networks Optimization Using Open-Source GRASS-RaPlaT Tool and Evolutionary Algorithm

  • Author

    Sekuljica, Darko ; Vilhar, Andrej ; Depolli, Matjaz ; Hrovat, Andrej ; Ozimek, Igor ; Javornik, Tomaz

  • Author_Institution
    Dept. of Commun. Syst., Jozef Stefan Inst., Ljubljana, Slovenia
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The process of LTE and LTE-A mobile networks optimization for 900 MHz radio signal using the open-source GRASS-RaPlaT tool and evolutionary algorithm is presented. The aim of the proposed solution is to reduce operational costs and to maximize network efficiency. Based on the terrain profile maps and construction locations, the tool calculates path loss by applying state-of-the-art statistical models and determines the optimal base station locations and parameters by maximizing defined criteria functions. The optimization has been tested on a selected area in Ljubljana, Slovenia. The obtained results show that the key network characteristics such as signal coverage, carrier-to-interference ratio and network capacity can be increased by tuning various base station parameters such as transmission power, antenna direction and location.
  • Keywords
    Long Term Evolution; evolutionary computation; public domain software; statistical analysis; terrain mapping; LTE mobile network optimization; LTE-A mobile network optimization; Ljubljana; Long Term Evolution; Slovenia; evolutionary algorithm; open-source GRASS-RaPlaT tool; operational cost reduction; optimal base station location; state-of-the-art statistical model; terrain profile map; Base stations; Evolutionary computation; Interference; Mobile communication; Mobile computing; Optimization; Transmitting antennas; LTE; LTE-A; capacity; coverage; evolutionary algorithm; multiobjective optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation (EuCAP), 2015 9th European Conference on
  • Type

    conf

  • Filename
    7228488