• DocumentCode
    3468681
  • Title

    Mobility patterns in microcellular wireless networks

  • Author

    Thajchayapong, S. ; Peha, J.M.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • Volume
    3
  • fYear
    2003
  • fDate
    16-20 March 2003
  • Firstpage
    1963
  • Abstract
    This study investigates mobility patterns in microcellular wireless networks, based on measurements from the 802.11-based system that blankets the Carnegie Mellon University campus. We characterize the distribution of dwell time, which is the length of time that a mobile device remains in a cell until the next handoff, and sign-on interarrival time, which is the length of time between successive sign-ons from the same mobile device. Many researchers have assumed that these distributions are exponential, but our results based on empirical analysis show that dwell time and sign-on interarrival time can be accurately described using heavy-tailed arithmetic distributions that have infinite mean and variance. We also show that the number of handoffs per sign-on can be modeled accurately with a heavy-tailed distribution.
  • Keywords
    microcellular radio; wireless LAN; 802.11-based system; Carnegie Mellon University campus; heavy-tailed arithmetic distribution; infinite mean; microcellular wireless network; mobile device; mobility pattern; sign-on interarrival time; variance; Analysis of variance; Arithmetic; Data analysis; Electric variables measurement; Intelligent networks; Land mobile radio cellular systems; Pattern analysis; Performance analysis; Time measurement; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking, 2003. WCNC 2003. 2003 IEEE
  • Conference_Location
    New Orleans, LA, USA
  • ISSN
    1525-3511
  • Print_ISBN
    0-7803-7700-1
  • Type

    conf

  • DOI
    10.1109/WCNC.2003.1200688
  • Filename
    1200688