• Paderborn University
  • InnoZent OWL
  • Weidmueller
  • Nuromedia
  • Technische Hochschule Ostwestfalen-Lippe
  • Benteler
  • MECSware


  • Ministerium für Wirtschaft, Innovation, Digitalisierung und Energie des Landes Nordrhein-Westfalen



Today, data communication and processing in industrial plants usually assume well known applications and carefully planned resources (processing, storage, network). This ensures quality of service, but limits flexibility. In the future, rapidly changing application scenarios can also be expected in the industrial environment, for example through the introduction of data analytics applications and the integration of sophisticated human-machine interfaces (such as augmented reality glasses for technicians). Such applications combine high data rate and latency requirements with large-scale data processing tasks that must be delivered close to the point of use (end-to-end) due to latency requirements; in addition, these requirements may change significantly. Wireless transmission technologies are needed to support such applications. 5G systems can be the means of choice here, as they offer not only wireless transmission but also edge computing capabilities. However, a management of different resources (processing, storage, network) that integrates them and makes them usable for the special requirements of industrial scenarios is missing so far. There is also no tool to support long-term resource planning and investment decisions (e.g., to invest in own spectrum or to purchase it from a public provider). This project develops a resource management tool and a planning tool that support these decisions in the short and long term, respectively, and are tailored to industrial requirements and the needs of SMEs. Dedicated 5G base stations will interoperate with these tools; this will be built upon by an AR application that will be tested and demonstrated in factory settings.