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Integrating Real-Environment 4G and 5G Mobile Data Patterns into Network Simulations for Delay Analysis

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F23%3APU148151" target="_blank" >RIV/00216305:26220/23:PU148151 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_2_v2.pdf" target="_blank" >https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_2_v2.pdf</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Integrating Real-Environment 4G and 5G Mobile Data Patterns into Network Simulations for Delay Analysis

  • Original language description

    This article presents a simulation testbed for analyzing a mobile transport network using open-source networking tools and protocols. The topology was designed according to the 5G transport network architecture, with Segment Routing for IPv6 (SRv6) technology and The Fast Data Project Vector Packet Processor (FD.io VPP) utilized for packet processing. The Trex traffic generator was used to simulate data transmission, and the Docker platform enabled centralized access and management of the topology. Real data patterns collected from one cell site was inserted into the created topology to create output for future research. The created testbed provides a valuable tool for analyzing the mobile transport network’s performance and future optimizing based on needs of network slices.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20203 - Telecommunications

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2023

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    Proceedings II of the 29th Student EEICT 2023 Selected papers

  • ISBN

    978-80-214-6154-3

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

    212-216

  • Publisher name

    Neuveden

  • Place of publication

    Brno University of Technology, Faculty of Electr

  • Event location

    Brno

  • Event date

    Apr 25, 2023

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article