English  |  正體中文  |  简体中文  |  Items with full text/Total items : 50122/85141 (59%)
Visitors : 7887107      Online Users : 85
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/103662


    Title: A Handover Prediction Mechanism Based on LTE-A UE History Information
    Authors: Wang, Ying-Hong*, Chang, Jui-Lin, Huang, Guo-Rui
    Keywords: Handover;LTE-A;Handover failure rate;Ping-ping handover rate;UE History
    Date: 2015-09-02
    Issue Date: 2015-09-15 05:29:59 (UTC+8)
    Publisher: IEEE
    Abstract: In response to the rapidly developing of wireless communication technology, the deployed of eNB is denser and more complex. The research of how to handover accurately and fast in LTE-A are discussed much in recent years .In 3GPP Release 8, the UE History Information recorded by eNB was first proposed, it's proposed to provide eNB to judge the target eNB when handover. The history information includes the Cell ID and Time UE stayed in cell. We proposed an advance UE history information, reducing the handover failure rate and ping-pong handover rate by using the history information like Region-Domain, Time-Domain and Time To Trigger.
    Relation: Proceedings of 2015 18th International Conference on Network-Based Information Systems, pp. 167-172
    Appears in Collections:[資訊工程學系暨研究所] 會議論文

    Files in This Item:

    File Description SizeFormat
    9942a167.pdf研討會論文電子檔447KbAdobe PDF134View/Open
    NBiS-INCoS-2015-full-program-v14.pdf議程5451KbAdobe PDF8View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback