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Prediction of Channel Quality after Handover for Mobility Management in 5G

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00223315" target="_blank" >RIV/68407700:21230/14:00223315 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.4108/icst.5gu.2014.258140" target="_blank" >http://dx.doi.org/10.4108/icst.5gu.2014.258140</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.4108/icst.5gu.2014.258140" target="_blank" >10.4108/icst.5gu.2014.258140</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Prediction of Channel Quality after Handover for Mobility Management in 5G

  • Original language description

    The fifth generation of wireless networks should enable the same experience to users at home, in the office or on the move thanks to seamless handover. Call admission control (CAC) provides the means to avoid call drops due to lack of resources at a target cell during handover. The purpose of the CAC is to decide if handover should be initiated or if a new call can be established. A specific quantity of resources is reserved to the users entering the cell in the future to avoid call drops. A predictionof user's movement and amount of resources required by the users after handover can be performed in order to optimize amount of reserved resources. In this paper, we address prediction of the number of resources required by the users at the target cell after handover. To that end, we propose new approach for prediction of channel quality indicator (CQI) after handover. The prediction exploits knowledge of handover hysteresis and decomposition of interference into two parts. As the result

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GPP102%2F12%2FP613" target="_blank" >GPP102/12/P613: Prediction Algorithms for Efficient Mobility Management in Wireless Networks</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    1st International Conference on 5G for Ubiquitous Connectivity

  • ISBN

    978-1-63190-055-6

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    35-39

  • Publisher name

    IEEE

  • Place of publication

    Piscataway

  • Event location

    Levi

  • Event date

    Nov 26, 2014

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article