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Cells Interrelation 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%3A00335948" target="_blank" >RIV/68407700:21230/19:00335948 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-3-030-21952-9_19" target="_blank" >http://dx.doi.org/10.1007/978-3-030-21952-9_19</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-3-030-21952-9_19" target="_blank" >10.1007/978-3-030-21952-9_19</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Cells Interrelation in Mobile Networks

  • Original language description

    To better optimize a mobile network, it’s useful to have knowledge about the movement of users in the network. This can relatively easily be done via sending GPS coordinates calculated in a mobile terminal to network. However, this approach is, first of all, quite energy demanding, and secondly user dependent, as a user has to pose a mobile terminal supporting GPS and has to allow the usage of GPS. Another possibility is to make use of signaling data which is an essential and integral part of mobile network operations, plus it’s more or less user independent. By combining the signaling data together with the network coverage map, we can estimate users’ movements in the network. In this paper, we focus on cells interrelation in a network coverage map. We present a simplified cell graphical representation, using a so-called cell-vector, and we analyze the possible use of cell-vector position scenarios to predict whether a pair of cells are neighboring each other or not.

  • 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

    26th International Science Conference on Computer Networks

  • ISBN

    978-3-030-21951-2

  • ISSN

    1865-0929

  • e-ISSN

  • Number of pages

    14

  • Pages from-to

    242-255

  • Publisher name

    Springer

  • Place of publication

    Cham

  • Event location

    Kamień Śląski

  • Event date

    Jun 25, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article