Abstract
We demonstrate a private 5G network integration with precise ultra-wideband (UWB)-based localization for en- abling a collaborative robots use case in an industrial environ- ment. The results confirm 5G’s ability to provide high through- put, low latency, and reliable connectivity, even in complex industrial environments. UWB provides real-time decimeter-level wireless localization accuracy, critical for reliable and precise object localization. These combined capabilities are essential for real-time monitoring, automation, and operational efficiency. The developed demonstrator serves as proof of concept, showcasing how 5G, when coupled with advanced localization technologies, can optimize industrial processes and improve safety. This study offers a valuable system performance evaluation under real- world conditions for researchers and industry, underscoring the transformative potential of 5G in future industrial systems and its integration with precise wireless localization technology.
| Originalsprache | Englisch |
|---|---|
| Titel | IECON 2025 – 51st Annual Conference of the IEEE Industrial Electronics Society |
| Verlag | IEEE |
| Seitenumfang | 8 |
| Auflage | 1 |
| ISBN (elektronisch) | 9798331596811 |
| DOIs | |
| Publikationsstatus | Veröffentlicht - 06 Nov. 2025 |
Publikationsreihe
| Name | IECON Proceedings (Industrial Electronics Conference) |
|---|---|
| ISSN (Print) | 2162-4704 |
| ISSN (elektronisch) | 2577-1647 |
UN SDGs
Dieser Output leistet einen Beitrag zu folgendem(n) Ziel(en) für nachhaltige Entwicklung
-
SDG 9 – Industrie, Innovation und Infrastruktur
Wissenschaftszweige
- 202034 Regelungstechnik
- 202033 Radartechnik
- 202017 Embedded Systems
- 202019 Hochfrequenztechnik
- 202015 Elektronik
- 202030 Nachrichtentechnik
- 202029 Mikrowellentechnik
- 202028 Mikroelektronik
- 202027 Mechatronik
- 102019 Machine Learning
- 202040 Übertragungstechnik
- 202 Elektrotechnik, Elektronik, Informationstechnik
- 202038 Telekommunikation
- 202041 Technische Informatik
- 202037 Signalverarbeitung
- 202036 Sensorik
- 202022 Informationstechnik
JKU-Schwerpunkte
- Digital Transformation
Projekte
- 1 Laufend
-
JKU LIT - SAL Intelligent Wireless Systems Lab (IWS Lab)
Baumgartner, S. (Forscher*in), Feger, R. (Forscher*in), Heining, S. (Forscher*in), Hochreiter, S. (Forscher*in), Khanzadeh, R. (Forscher*in), Mitta, R. (Forscher*in), Moser, B. (Forscher*in), Pretl, H. (Forscher*in), Springer, A. (Forscher*in), Stelzer, A. (Forscher*in), Zachl, G. (Forscher*in) & Huemer, M. (Projektleiter*in)
01.01.2024 → 31.12.2026
Projekt: Anderes › Sonstiges Projekt
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