26 November 2019
At the end of October, the Bundesnetzagentur published the fees for frequencies in the range from 3.7 GHz to 3.8 GHz for local applications, thus laying the foundation for campus networks, i.e. a company’s own network on factory premises. Fraunhofer FOKUS discussed the technical implementation of such private networks with partners from industry and science at the Industrial IoT (IIoT) Forum and the FOKUS FUSECO Forum (FFF) and presented various 5G demonstrations for the factory of the future.
Mostly wired industrial networks have been used in the last 50 years to meet high requirements regarding security, reliability and real-time behaviour. This has changed in recent years: The industry wants to benefit from the possibilities of worldwide digital networking in order to save costs or open up new business models. Wireless communication also offers greater flexibility within the factory premises. Technically, this is being driven by the beginning convergence of classic operating technologies with modern ICT approaches.
At the network level, the IEEE Time-Sensitive Networking (TSN) standards and the 5G Ultra Reliable Low Latency Communications (uRLLC) specifications in Release 16 of the 3GPP standardization organization play a key role. At the same time, the German government supports the rapid, secure and cost-effective construction of 5G networks on factory premises in line with individual requirements by allocating local frequencies.
Fraunhofer FOKUS and its partners demonstrated the technical possibilities of local 5G campus and TSN networks using various industrial applications as examples. In many demonstrations the Open5GCore from Fraunhofer FOKUS is used as a software-based core network. The control programs for communication, as well as authentication and the connection of devices and services, run in the core network. The software-based implementation allows network functions to be dynamically combined into one individual, virtual campus network depending on the required latency time, security level and number of devices to be networked.
http://www.sps-messe.de
Wireless factory sites with 5G campus
The Bundesnetzagentur has been laying the foundation for campus networks, i.e. a company’s own network on factory premises. Fraunhofer FOKUS and partners from industry and science work on technical implementation of such private networks.
 Photo: Alex Knight on UnsplashEdge-based 5G core networks for robot control in factories |
Mostly wired industrial networks have been used in the last 50 years to meet high requirements regarding security, reliability and real-time behaviour. This has changed in recent years: The industry wants to benefit from the possibilities of worldwide digital networking in order to save costs or open up new business models. Wireless communication also offers greater flexibility within the factory premises. Technically, this is being driven by the beginning convergence of classic operating technologies with modern ICT approaches.
At the network level, the IEEE Time-Sensitive Networking (TSN) standards and the 5G Ultra Reliable Low Latency Communications (uRLLC) specifications in Release 16 of the 3GPP standardization organization play a key role. At the same time, the German government supports the rapid, secure and cost-effective construction of 5G networks on factory premises in line with individual requirements by allocating local frequencies.
Fraunhofer FOKUS and its partners demonstrated the technical possibilities of local 5G campus and TSN networks using various industrial applications as examples. In many demonstrations the Open5GCore from Fraunhofer FOKUS is used as a software-based core network. The control programs for communication, as well as authentication and the connection of devices and services, run in the core network. The software-based implementation allows network functions to be dynamically combined into one individual, virtual campus network depending on the required latency time, security level and number of devices to be networked.
http://www.sps-messe.de
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