• DocumentCode
    188297
  • Title

    Efficient and Prompt Handover in LTE-Based Systems by Predicting the Target eNodeBs

  • Author

    Xianda Chen ; Min Jae Kim ; Sang Hyun Yoo ; Na Young Park ; Hee Yong Youn

  • Author_Institution
    Coll. of Inf. & Commun. Eng., Sungkyunkwan Univ., Suwon, South Korea
  • fYear
    2014
  • fDate
    13-15 Oct. 2014
  • Firstpage
    406
  • Lastpage
    413
  • Abstract
    Handover is an essential issue in wireless networks including the Long Term Evolution (LTE) system, especially for high-speed real-time service. An efficient handover scheme with the prediction of candidate target eNodeBs and prompt handover decision is proposed in this paper. By referring to the previous positions of the user equipment (UE), the proposed scheme decides the zone where the potential target eNodeBs are located. The weight of a candidate eNodeB is increased by one in each measurement period if it is identified as a potential target for handover. The target eNodeB of the highest weight is finally selected if it has available bandwidth. The proposed scheme promptly triggers handover any time even before the time-to-trigger (TTT) window expires if the power of received signal rapidly grows. The proposed scheme is evaluated in terms of packet drop rate, packet delay and good put per cell. The simulation results show that the proposed scheme significantly improve the performance of handover compared to the standard handover scheme adopted in LTE.
  • Keywords
    Long Term Evolution; LTE-based system; Long Term Evolution system; TTT window; eNodeBs; handover scheme; high-speed real-time service; time-to-trigger window; user equipment; Bandwidth; Delays; Handover; Long Term Evolution; Real-time systems; Handover; Handover Margin; Long Term Evolution; Target eNodeB Prediction; Time-to-Time Window;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC), 2014 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-6235-8
  • Type

    conf

  • DOI
    10.1109/CyberC.2014.77
  • Filename
    6984341