---
_id: '13829'
abstract:
- lang: eng
  text: Modeling 5G Radio Access Networks (RANs) at scale requires rapid (re-)configuration
    of 5G base stations (BSs), e.g., based on open-source software (OSS) stacks, which
    in general is a challenging task in scenarios with highly dynamic environments
    and networking demands. Existing solutions are often insufficient to provide an
    automated configuration functionality based on basic 5G cell parameters. Manual
    adjustments in such scenarios require specialized knowledge usually not present
    outside of traditional network providers and established research groups. They
    are often prone to errors, misconfigurations, and typically do not meet the need
    for dynamic and timely updates to the networking configuration. In this paper,
    we present 5GAutoConf, which, to the best of our knowledge, is the first open
    source automatic 5G BS configuration tool that uses basic input parameters. 5GAutoConf
    implements an automatic datadriven process that rapidly creates configurations
    for OSS 5G RAN stacks, enabling fast 5G BS adaptation for experimental purposes.
    Further, 5GAutoConf integrates both 5G standardcompliant and generated lookup
    tables (LUTs) for use caseoriented optimization. Since the derivation process
    of waveform parameters is the most important part of the tool, it is described
    in detail.
author:
- first_name: Niels Hendrik
  full_name: Fliedner, Niels Hendrik
  id: '58709'
  last_name: Fliedner
  orcid: 0000-0003-0484-1328
- first_name: Florian
  full_name: Klingler, Florian
  last_name: Klingler
- first_name: Henning
  full_name: Trsek, Henning
  id: '1486'
  last_name: Trsek
  orcid: 0000-0002-0133-0656
citation:
  ama: 'Fliedner NH, Klingler F, Trsek H. <i>5GAutoConf: A Rapid Data-Driven Autoconfiguration
    Tool for 5G Base Stations</i>. IEEE; 2026. doi:<a href="https://doi.org/10.5281/zenodo.20796160">https://doi.org/10.5281/zenodo.20796160</a>'
  apa: 'Fliedner, N. H., Klingler, F., &#38; Trsek, H. (2026). 5GAutoConf: A Rapid
    Data-Driven Autoconfiguration Tool for 5G Base Stations. In <i>Proceedings of
    the 22nd IEEE International Conference on Distributed Computing in Smart Systems
    and the Internet of Things (DCOSS-IoT 2026)</i>. 22nd IEEE International Conference
    on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT
    2026), Reykjavík, Island. IEEE. <a href="https://doi.org/10.5281/zenodo.20796160">https://doi.org/10.5281/zenodo.20796160</a>'
  bjps: '<b>Fliedner NH, Klingler F and Trsek H</b> (2026) <i>5GAutoConf: A Rapid
    Data-Driven Autoconfiguration Tool for 5G Base Stations</i>. IEEE.'
  chicago: 'Fliedner, Niels Hendrik, Florian Klingler, and Henning Trsek. <i>5GAutoConf:
    A Rapid Data-Driven Autoconfiguration Tool for 5G Base Stations</i>. <i>Proceedings
    of the 22nd IEEE International Conference on Distributed Computing in Smart Systems
    and the Internet of Things (DCOSS-IoT 2026)</i>. IEEE, 2026. <a href="https://doi.org/10.5281/zenodo.20796160">https://doi.org/10.5281/zenodo.20796160</a>.'
  chicago-de: 'Fliedner, Niels Hendrik, Florian Klingler und Henning Trsek. 2026.
    <i>5GAutoConf: A Rapid Data-Driven Autoconfiguration Tool for 5G Base Stations</i>.
    <i>Proceedings of the 22nd IEEE International Conference on Distributed Computing
    in Smart Systems and the Internet of Things (DCOSS-IoT 2026)</i>. IEEE. doi:<a
    href="https://doi.org/10.5281/zenodo.20796160">https://doi.org/10.5281/zenodo.20796160</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Fliedner, Niels Hendrik</span>
    ; <span style="font-variant:small-caps;">Klingler, Florian</span> ; <span style="font-variant:small-caps;">Trsek,
    Henning</span>: <i>5GAutoConf: A Rapid Data-Driven Autoconfiguration Tool for
    5G Base Stations</i> : IEEE, 2026'
  havard: 'N.H. Fliedner, F. Klingler, H. Trsek, 5GAutoConf: A Rapid Data-Driven Autoconfiguration
    Tool for 5G Base Stations, IEEE, 2026.'
  ieee: 'N. H. Fliedner, F. Klingler, and H. Trsek, <i>5GAutoConf: A Rapid Data-Driven
    Autoconfiguration Tool for 5G Base Stations</i>. IEEE, 2026. doi: <a href="https://doi.org/10.5281/zenodo.20796160">https://doi.org/10.5281/zenodo.20796160</a>.'
  mla: 'Fliedner, Niels Hendrik, et al. “5GAutoConf: A Rapid Data-Driven Autoconfiguration
    Tool for 5G Base Stations.” <i>Proceedings of the 22nd IEEE International Conference
    on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT
    2026)</i>, IEEE, 2026, <a href="https://doi.org/10.5281/zenodo.20796160">https://doi.org/10.5281/zenodo.20796160</a>.'
  short: 'N.H. Fliedner, F. Klingler, H. Trsek, 5GAutoConf: A Rapid Data-Driven Autoconfiguration
    Tool for 5G Base Stations, IEEE, 2026.'
  ufg: '<b>Fliedner, Niels Hendrik/Klingler, Florian/Trsek, Henning</b>: 5GAutoConf:
    A Rapid Data-Driven Autoconfiguration Tool for 5G Base Stations, o. O. 2026.'
  van: 'Fliedner NH, Klingler F, Trsek H. 5GAutoConf: A Rapid Data-Driven Autoconfiguration
    Tool for 5G Base Stations. Proceedings of the 22nd IEEE International Conference
    on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT
    2026). IEEE; 2026.'
conference:
  end_date: 2026-06-24
  location: Reykjavík, Island
  name: 22nd IEEE International Conference on Distributed Computing in Smart Systems
    and the Internet of Things (DCOSS-IoT 2026)
  start_date: 2026-06-22
date_created: 2026-06-28T17:20:19Z
date_updated: 2026-08-11T06:15:12Z
ddc:
- '004'
- '600'
- '620'
department:
- _id: DEP5023
doi: https://doi.org/10.5281/zenodo.20796160
file:
- access_level: open_access
  content_type: application/pdf
  creator: p00-tl8
  date_created: 2026-06-28T17:14:54Z
  date_updated: 2026-06-28T17:14:54Z
  file_id: '13830'
  file_name: DCOSS_IoT_2026_2026-05-22_v08.pdf
  file_size: 226933
  relation: main_file
  success: 1
file_date_updated: 2026-06-28T17:14:54Z
has_accepted_license: '1'
keyword:
- 5G NR
- RAN
- data-driven network optimization
- open-source toolkits
- automated network configuration
- rapid network deployment
language:
- iso: eng
oa: '1'
publication: Proceedings of the 22nd IEEE International Conference on Distributed
  Computing in Smart Systems and the Internet of Things (DCOSS-IoT 2026)
publication_status: published
publisher: IEEE
quality_controlled: '1'
related_material:
  link:
  - description: Quellcode des vorgestellten Tools "5GAutoConf".
    relation: software
    url: https://github.com/inIT-IAS/5GAutoConf
status: public
title: '5GAutoConf: A Rapid Data-Driven Autoconfiguration Tool for 5G Base Stations'
type: conference_editor_article
user_id: '83781'
year: '2026'
...
---
_id: '13038'
abstract:
- lang: eng
  text: Die vorliegende Bachelorarbeit gelangt zu dem Schluss, dass die Integration
    von Open Science Aspekten wie Open Educational Resources (OER), Open Data und
    Open Source an Hochschulen für angewandte Wissenschaften (HAWs) in Nordrhein-Westfalen
    (NRW) signifikante Defizite aufweist. Es mangelt an Zuständigkeiten und Richtlinien,
    und die vorhandenen Publikationsfonds fördern nicht die untersuchten Open Science
    Aspekte. Über die Hälfte der HAWs erkennt die Relevanz von OER-Beauftragten an,
    jedoch fehlen entsprechende Policies. Die Bestellung von Open Data-Beauftragten
    an 50 % der HAWs in NRW verdeutlicht die Relevanz dieser Funktion. Im Bereich
    Open Source besteht ein eklatanter Mangel an Beauftragten, Informationen und Policies,
    wobei die Bedeutung von OA-Repositorien und Forschungsinformationssystemen hervorgehoben
    werden sollte. Zudem gewinnen technische Anwendungen wie GitLab und Jupyter Notebooks
    an Bedeutung. Für eine effektive Umsetzung sind nachhaltige Finanzierung, zentrale
    Koordinationsstellen, Evaluierungsprozesse und transparente Verfahren erforderlich.
author:
- first_name: Katharina
  full_name: Herrmann, Katharina
  id: '45673'
  last_name: Herrmann
citation:
  ama: Herrmann K. <i>Best Practice für Open Educational Resources, Open Source und
    Open Data an Hochschulen der angewandten Wissenschaften in Nordrhein-Westfalen</i>.
    Hochschule Hannover; 2025. doi:<a href="https://doi.org/10.25968/opus-3632">https://doi.org/10.25968/opus-3632</a>
  apa: Herrmann, K. (2025). <i>Best Practice für Open Educational Resources, Open
    Source und Open Data an Hochschulen der angewandten Wissenschaften in Nordrhein-Westfalen</i>.
    Hochschule Hannover. <a href="https://doi.org/10.25968/opus-3632">https://doi.org/10.25968/opus-3632</a>
  bjps: '<b>Herrmann K</b> (2025) <i>Best Practice für Open Educational Resources,
    Open Source und Open Data an Hochschulen der angewandten Wissenschaften in Nordrhein-Westfalen</i>.
    Hannover: Hochschule Hannover.'
  chicago: 'Herrmann, Katharina. <i>Best Practice für Open Educational Resources,
    Open Source und Open Data an Hochschulen der angewandten Wissenschaften in Nordrhein-Westfalen</i>.
    Hannover: Hochschule Hannover, 2025. <a href="https://doi.org/10.25968/opus-3632">https://doi.org/10.25968/opus-3632</a>.'
  chicago-de: 'Herrmann, Katharina. 2025. <i>Best Practice für Open Educational Resources,
    Open Source und Open Data an Hochschulen der angewandten Wissenschaften in Nordrhein-Westfalen</i>.
    Hannover: Hochschule Hannover. doi:<a href="https://doi.org/10.25968/opus-3632">https://doi.org/10.25968/opus-3632</a>,
    .'
  din1505-2-1: '<span style="font-variant:small-caps;">Herrmann, Katharina</span>:
    <i>Best Practice für Open Educational Resources, Open Source und Open Data an
    Hochschulen der angewandten Wissenschaften in Nordrhein-Westfalen</i>. Hannover :
    Hochschule Hannover, 2025'
  havard: K. Herrmann, Best Practice für Open Educational Resources, Open Source und
    Open Data an Hochschulen der angewandten Wissenschaften in Nordrhein-Westfalen,
    Hochschule Hannover, Hannover, 2025.
  ieee: 'K. Herrmann, <i>Best Practice für Open Educational Resources, Open Source
    und Open Data an Hochschulen der angewandten Wissenschaften in Nordrhein-Westfalen</i>.
    Hannover: Hochschule Hannover, 2025. doi: <a href="https://doi.org/10.25968/opus-3632">https://doi.org/10.25968/opus-3632</a>.'
  mla: Herrmann, Katharina. <i>Best Practice für Open Educational Resources, Open
    Source und Open Data an Hochschulen der angewandten Wissenschaften in Nordrhein-Westfalen</i>.
    Hochschule Hannover, 2025, <a href="https://doi.org/10.25968/opus-3632">https://doi.org/10.25968/opus-3632</a>.
  short: K. Herrmann, Best Practice für Open Educational Resources, Open Source und
    Open Data an Hochschulen der angewandten Wissenschaften in Nordrhein-Westfalen,
    Hochschule Hannover, Hannover, 2025.
  ufg: '<b>Herrmann, Katharina</b>: Best Practice für Open Educational Resources,
    Open Source und Open Data an Hochschulen der angewandten Wissenschaften in Nordrhein-Westfalen,
    Hannover 2025.'
  van: 'Herrmann K. Best Practice für Open Educational Resources, Open Source und
    Open Data an Hochschulen der angewandten Wissenschaften in Nordrhein-Westfalen.
    Hannover: Hochschule Hannover; 2025. 211 p.'
date_created: 2025-07-03T06:17:26Z
date_updated: 2025-07-11T07:57:02Z
department:
- _id: DEP1100
doi: https://doi.org/10.25968/opus-3632
keyword:
- Open educational Resources
- Open Source
- Open Data
- Fachhochschule
- Nordrhein-Westfalen
- Open Science
language:
- iso: ger
main_file_link:
- open_access: '1'
oa: '1'
page: '211'
place: Hannover
publication_status: published
publisher: Hochschule Hannover
status: public
supervisor:
- first_name: Ina
  full_name: Blümel, Ina
  last_name: Blümel
- first_name: Lambert
  full_name: Heller, Lambert
  last_name: Heller
title: Best Practice für Open Educational Resources, Open Source und Open Data an
  Hochschulen der angewandten Wissenschaften in Nordrhein-Westfalen
type: bachelor_thesis
user_id: '83779'
year: '2025'
...