Publication

Design of a 5G Ready and Reliable Architecture for the Smart Factoryof the Future

Mathias Strufe, Michael Gundall, Hans Dieter Schotten, Christian Markwart, Rakash Ganesam, Markus Aleksy

In: ITG – Informationstechnische Gesellschaft im VDE (editor). Mobilkommunikation Technologien und Anwendungen Vorträge der 24. ITG-Fachtagung. VDE/ITG Fachtagung Mobilkommunikation (MKT-2019) May 15-16 Osnabrück Germany VDE 2019.

Abstract

The increasing demands for highly individual products as well as for flexible production lines represent new challenges.To address these demands, future plants must be highly flexible and dynamically reconfigurable. Current systems areusually based on wired technologies for the connection of sensors, actuators, and controlling or monitoring devices thatallow only very limited dynamics. New applications, such as the use of robots, drones, or reconfigurable production lines,require the exploitation of wireless communication technologies. However, current technologies are not able to meet thehigh requirements in terms of latency, robustness, resilience and data rate. The introduction of the 5th generation (5G)cellular communication system will meet these requirements for the first time. Besides the use of radio-based solutionsin new plants - so-called greenfield scenarios - deploying 5G also represents an efficient migration of existing plants -so-called brownfield scenarios - to Industry 4.0. In order to ensure that the challenging requirements are indeed meet inpractical deployments of the new 5G technology, a tailor-made architecture is being developed within the Tactile Internet4.0 (TACNET 4.0) project. As a basis for the design of the architecture, representative Industry 4.0 application scenarios,which are also be considered by the 3rd Generation Partnership Project (3GPP), were analyzed and compliance with thelatest developments in the relevant standardization is also our target. The paper gives an overview of the considered usecases as well as the relevant reference architectures and the design process of the TACNET 4.0 architecture.

Projekte

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz