• DocumentCode
    3028656
  • Title

    Secure Path Loss Prediction in Fringe Areas Using Fuzzy Logic Approach

  • Author

    Gupta, Vishal ; Sharma, S.C.

  • Author_Institution
    IIT Roorkee, Roorkee, India
  • fYear
    2009
  • fDate
    28-29 Dec. 2009
  • Firstpage
    372
  • Lastpage
    375
  • Abstract
    Efficiency of present path loss models suffers when they are used in the environment other than for which they have been designed. The aim of this paper is to propose the predicting the path loss with the field measurement models and represent them in a more convenient form for the proposed Fuzzy Logic modeling. This paper proposes method to predict path loss for correct location of base station in cellular mobile communication systems using fuzzy logic. The propagation medium is classified in to several well-established propagation environments defined as a fuzzy set such as free space, flat area terrain, light structures terrain, heavy structures terrain, and village terrain. A unique mean path loss exponent (n) is assigned to each propagation environment, which is established by means of the experimental. Fuzzy logic is used to determine ¿n¿ number for an unknown environment, which will be obtained using linguistic rules that provide a fine-tuning of the known propagation environments. HATA model proposed by M. Hata has been used for the present analysis.
  • Keywords
    fuzzy logic; mobile communication; signal processing; telecommunication computing; cellular mobile communication; fringe areas; fuzzy logic; mean path loss exponent; path loss prediction; Atmospheric modeling; Cities and towns; Electromagnetic propagation; Fading; Fuzzy logic; GSM; Optical propagation; Predictive models; Propagation losses; Shadow mapping; Fuzzy logic; GSM; HATA Model; Path Loss;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computing, Control, & Telecommunication Technologies, 2009. ACT '09. International Conference on
  • Conference_Location
    Trivandrum, Kerala
  • Print_ISBN
    978-1-4244-5321-4
  • Electronic_ISBN
    978-0-7695-3915-7
  • Type

    conf

  • DOI
    10.1109/ACT.2009.98
  • Filename
    5376631