• DocumentCode
    1706767
  • Title

    Soft Metric Assisted Mobility Robustness Optimization in LTE Networks

  • Author

    Hui, Gao ; Legg, Peter

  • Author_Institution
    Huawei Technol. Sweden, Kista, Sweden
  • fYear
    2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Mobility Robustness Optimization (MRO) is a use-case of Self-Organizing Networks (SON) for LTE that aims to optimize handover performance automatically. Conventional MRO algorithms tune handover parameters based on counts of handover failures and handover events. The algorithm requires many handovers per cell pair (e.g. 1000) to trigger a reliable adjustment. Thus it can result in a slow adaptation to changes that improve or deteriorate handover performance, such as network loading or UE speed. In this paper, we propose a new MRO algorithm taking into account soft metrics, such as handover command transmission time, derived both from failed and successful handovers. The proposed algorithm provides a faster reaction and lower failure rate than the conventional method, with no deterioration in the handover count.
  • Keywords
    Long Term Evolution; mobility management (mobile radio); LTE networks; MRO algorithms tune handover parameters; SON; UE speed; failure rate; handover command transmission time; handover count; handover performance; network loading; reliable adjustment; self-organizing networks; soft metric assisted mobility robustness optimization; Artificial neural networks; Reliability; Shadow mapping; LTE; MRO; SON; handover; soft metric;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communication Systems (ISWCS), 2012 International Symposium on
  • Conference_Location
    Paris
  • ISSN
    2154-0217
  • Print_ISBN
    978-1-4673-0761-1
  • Electronic_ISBN
    2154-0217
  • Type

    conf

  • DOI
    10.1109/ISWCS.2012.6328318
  • Filename
    6328318