• DocumentCode
    1550705
  • Title

    User mobility modeling and characterization of mobility patterns

  • Author

    Zonoozi, Mahmood M. ; Dassanayake, Prem

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Victoria Univ. of Technol., Melbourne, Vic., Australia
  • Volume
    15
  • Issue
    7
  • fYear
    1997
  • fDate
    9/1/1997 12:00:00 AM
  • Firstpage
    1239
  • Lastpage
    1252
  • Abstract
    A mathematical formulation is developed for systematic tracking of the random movement of a mobile station in a cellular environment. It incorporates mobility parameters under the most generalized conditions, so that the model can be tailored to be applicable in most cellular environments. This mobility model is used to characterize different mobility-related traffic parameters in cellular systems. These include the distribution of the cell residence time of both new and handover calls, channel holding time, and the average number of handovers. It is shown that the cell residence time can be described by the generalized gamma distribution. It is also shown that the negative exponential distribution is a good approximation for describing the channel holding time
  • Keywords
    cellular radio; exponential distribution; gamma distribution; radio networks; telecommunication traffic; tracking; cell residence time distribution; cellular environment; cellular systems; channel holding time; generalized conditions; generalized gamma distribution; handover calls; mathematical formulation; mobile station; mobility model; mobility parameters; mobility patterns; mobility related traffic parameters; negative exponential distribution; new calls; random movement tracking; user mobility modeling; Cellular networks; Exponential distribution; Helium; Mobile communication; Nonhomogeneous media; Probability distribution; Road transportation; Telecommunication traffic; Tracking; Traffic control;
  • fLanguage
    English
  • Journal_Title
    Selected Areas in Communications, IEEE Journal on
  • Publisher
    ieee
  • ISSN
    0733-8716
  • Type

    jour

  • DOI
    10.1109/49.622908
  • Filename
    622908