• DocumentCode
    2285784
  • Title

    Handover prediction strategy for 3G-WLAN overlay networks

  • Author

    Kwon, Hyeyeon ; Yang, Mi-Jeong ; Park, Ae-Soon ; Venkatesan, S.

  • Author_Institution
    Mobile Telecommun. Res. Div., Electron. & Telecommun. Res. Inst., Daejeon
  • fYear
    2008
  • fDate
    7-11 April 2008
  • Firstpage
    819
  • Lastpage
    822
  • Abstract
    In 3G-WLAN overlay network environments, a UE is apt to lose the WLAN signal without any notice by moving while it connects to WLAN because it can be apart from the WLAN coverage suddenly. In this case the on-going services are disrupted by unexpected link corruption. Hence, it needs to execute quickly the handover to 3G network as soon as it detects the lost of WLAN signal. However, as the 3G access has many network signaling operations additionally including IP mobility operations for service continuity, it requests more enough processing time for the operations, which increases the handover latency causing the service interruption. Therefore it is important to predict the time when the UE will get out of the WLAN coverage. By the handover prediction, the UE can prepare the connection to 3G network before breaking off the WLAN connection. This paper shows several handover prediction algorithms to reduce the handover latency by fast handover triggering. The correctness of the algorithms is compared by simulation.
  • Keywords
    3G mobile communication; IP networks; wireless LAN; 3G-WLAN overlay networks; IP mobility operations; fast handover triggering; handover latency; handover prediction strategy; service continuity; user equipment; 3G mobile communication; Authentication; Computational modeling; Computer science; Costs; Delay; Joining processes; Prediction algorithms; Signal processing; Wireless LAN; VHO; handover prediction; seamless mobility;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Operations and Management Symposium, 2008. NOMS 2008. IEEE
  • Conference_Location
    Salvador, Bahia
  • ISSN
    1542-1201
  • Print_ISBN
    978-1-4244-2065-0
  • Electronic_ISBN
    1542-1201
  • Type

    conf

  • DOI
    10.1109/NOMS.2008.4575222
  • Filename
    4575222