Supporting digital transformation: real-time monitoring of private 5G networks to educate future connectivity experts by means of learning factories
- The fifth generation of mobile communication (5G) is a wireless technology developed to provide reliable, fast data transmission for industrial applications, such as autonomous mobile robots and connect cyber-physical systems using Internet of Things (IoT) sensors. In this context, private 5G networks enable the full performance of industrial applications built on dedicated 5G infrastructures. However, emerging wireless communication technologies such as 5G are a complex and challenging topic for training in learning factories, often lacking physical or visual interaction. Therefore, this paper aims to develop a real-time performance monitoring system of private 5G networks and different industrial 5G devices to visualise the performance and impact factors influencing 5G for students and future connectivity experts. Additionally, this paper presents the first long-term measurements of private 5G networks and shows the performance gap between the actual and targeted performance of private 5G networks.
| Author of HS Reutlingen | Lackner, Thorge; Dietrich, Fabian; Julian Hermann; Kuhn, Christian; Palm, Daniel |
|---|---|
| URN: | urn:nbn:de:bsz:rt2-opus4-47147 |
| DOI: | https://doi.org/10.2139/ssrn.4471402 |
| Erschienen in: | Proceedings of the 13th Conference on Learning Factories (CLF 2023), 9-11 May 2023, Reutlingen |
| Publisher: | Elsevier |
| Place of publication: | Rochester, NY |
| Document Type: | Conference proceeding |
| Language: | English |
| Publication year: | 2023 |
| Tag: | 5G; Industry 4.0; digital transformation; learning factories; private 5G networks; real-time monitoring; wireless communication |
| Page Number: | 5 |
| First Page: | 1 |
| Last Page: | 5 |
| DDC classes: | 004 Informatik |
| Open access?: | Ja |
| Licence (German): |  Open Access |
