• DocumentCode
    3187505
  • Title

    Micro cell path loss prediction through hilly-forest terrain: A case study in south of Thailand

  • Author

    Phetsri, P. ; Sungkhapong, A. ; Phaiboon, S.

  • Author_Institution
    Dept. of Ind. Eng., Prince of Songkla Univ., Songkla, Thailand
  • fYear
    2011
  • fDate
    8-10 Aug. 2011
  • Firstpage
    4670
  • Lastpage
    4673
  • Abstract
    This paper presents the path loss prediction using a modified hilly-forest model for micro cell environments in hilly suburban area. A location of received signal is chosen, where there is a problem in signal quality, which will be analyzed, and improved using the hybrid models called Lee-hilly model and modified COST 235 model. These models were evaluated with the realistic model parameters. The chosen location studied in this work consists of both the hilly and the rubber forest. The received signal strength was then improved by adjusting the base station parameter such as the height, transmitting power and angle of the antenna. The extensive drive test was performed to verify the modified model. The obtained results show that the modified path loss model can be used for microcell planning and signal quality improvement.
  • Keywords
    microcellular radio; telecommunication network planning; Lee-hilly model; base station parameter; extensive drive test; hilly-forest terrain; micro cell path loss prediction; microcell planning; modified COST 235 model; received signal strength; rubber forest; signal quality improvement; transmitting power; Antenna measurements; Frequency measurement; Loss measurement; Predictive models; Propagation losses; Rubber; Vegetation; Path loss; drive test measurement; improved signal; modified hilly-forest model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
  • Conference_Location
    Deng Leng
  • Print_ISBN
    978-1-4577-0535-9
  • Type

    conf

  • DOI
    10.1109/AIMSEC.2011.6011312
  • Filename
    6011312