Analytical evaluation of the performance of a high-loaded 5G-IoT ecosystem functioning
Author's version of a published conference paper V. Kovtun, O. Kovtun, M. Yukhimchuk, “Analytical evaluation of the performance of a high-loaded 5G-IoT ecosystem functioning.” In Proc. Modern Machine Learning Technologies Workshop (MoMLeT-2025), CEUR-WS, vol. 4004, pp. 167 - 184, June 14, 2025. This research is part of the project No. 2022/45/P/ST7/03450 co-funded by the National Science Centre and the European Union Framework Programme for Research and Innovation Horizon 2020 under the Marie Skłodowska-Curie grant agreement No. 945339.
Institutions
- Institute of Theoretical and Applied Informatics (PL)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-08-13
- DOI
- https://doi.org/10.5281/zenodo.16845980
- Primary Topic
- Advanced Signal Processing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00