@misc{13829,
  abstract     = {{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       = {{Fliedner, Niels Hendrik and Klingler, Florian and Trsek, Henning}},
  booktitle    = {{Proceedings of the 22nd IEEE International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT 2026)}},
  keywords     = {{5G NR, RAN, data-driven network optimization, open-source toolkits, automated network configuration, rapid network deployment}},
  location     = {{Reykjavík, Island}},
  publisher    = {{IEEE}},
  title        = {{{5GAutoConf: A Rapid Data-Driven Autoconfiguration Tool for 5G Base Stations}}},
  year         = {{2026}},
}