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Vectors-based method to deduce neighboring cells in mobile networks

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00335955" target="_blank" >RIV/68407700:21230/19:00335955 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Vectors-based method to deduce neighboring cells in mobile networks

  • Original language description

    This paper discusses the coverage in mobile networks, for which we propose a novel method to deduce neighboring cells, where the number of cells could be very large. The priority for this method is simplicity, so it can be easily implemented and executed in a short processing time, even for a large number of cells. Therefore, the proposed method uses a simple graphical representation of the cells by means of vectors to only maintain the cells’ size and orientation. Although the method is motivated by applications which are related to user-mobility in mobile networks, it might be useful in other applications, where the nearest neighbors search problem is involved, such as in computational geometry and pattern recognition in machine learning.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20202 - Communication engineering and systems

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    2019 International IEEE Conference and Workshop in Óbuda on Electrical and Power Engineering

  • ISBN

    978-1-7281-4357-6

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

    35-40

  • Publisher name

    Institute of Electrical and Electronics Engineers Inc

  • Place of publication

  • Event location

    Budapešť

  • Event date

    Nov 20, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article