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Project

TACNET 4.0

Highly reliable and real-time 5G networking for industry 4.0 - The tactile Internet for production, robotics and digitalization of the industry

Highly reliable and real-time 5G networking for industry 4.0 - The tactile Internet for production, robotics and digitalization of the industry

  • Duration:

The overall goal of TACNET 4.0 is the development of a unified industrial 5G communication system that integrates 5G networks and industrial communication networks. For this purpose, 5G concepts with innovative industry-specific approaches, cross-network adaptation mechanisms and open interfaces between industrial and mobile radio systems are developed.

Partners

  • ABB AG, Ladenburg
  • Ascora GmbH, Ganderkesee
  • CommSolid GmbH, Dresden
  • Götting KG, Lehrte-Röddensen
  • Hochschule Ostwestfalen-Lippe, Lemgo
  • MECSware GmbH, Ratingen
  • Nokia Solutions and Networks Management International GmbH, München
  • Nokia Solutions and Networks Management International GmbH, Stuttgart
  • NXP Germany GmbH, Hamburg
  • Otaris GmbH, Bremen
  • Robert Bosch GmbH, Hildesheim
  • TU Dresden, Deutsche Telekom Professur Kommunikationsnetze
  • TU Dresden, Vodafone Stiftungslehrstuhl für mobile Kommunikationssysteme
  • Universität Bremen, Institut für Telekommunikation und Hochfrequenztechnik

Sponsors

BMBF - Federal Ministry of Education and Research

BMBF - Federal Ministry of Education and Research

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Contact Person
Michael Gundall, M.Sc.

Keyfacts

Downloads

TACNET Flyer (pdf, 566 KB)

Publications about the project

Computation Offloading at Field Level: Motivation and Break-Even Point Calculation

Michael Gundall; Christopher Huber; Hans Dieter Schotten

In: 2021 IEEE 26th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE International Conference on Emerging Technologies and Factory Automation (ETFA-2021), September 7-10, Västerås/Virtual, Sweden, IEEE, 9/2021.

To the publication

Introduction of a 5G-Enabled Architecture for the Realization of Industry 4.0 Use Cases

Michael Gundall; Mathias Strufe; Hans Dieter Schotten; Peter Rost; Christian Markwart; Rolf Blunk; Arne Neumann; Jan Grießbach; Markus Aleksy; Dirk Wübben

In: IEEE Access, Vol. 9, Pages 25508-25521, IEEE, 2/2021.

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A Simple Cooperative Diversity Method Based on Deep-Learning-Aided Relay Selection

Wei Jiang; Hans Dieter Schotten

In: IEEE Transactions on Vehicular Technology, Vol. 70, Pages 1-16, IEEE, 2021.

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All publications