Automated Resilient Networks for Economy and Society

NetworksDigitalization is advancing rapidly in all areas of today's society. In the process, developments such as smart cities, automated transportation, robotics and Industry 4.0 will have a significant impact on people's lives. A future-oriented communications infrastructure that is available everywhere, sustainably scalable and secure at all times is the basis for successfully driving forward the digitization of the economy and society. Comprehensive network automation is an indispensable prerequisite for the efficient use of such a network infrastructure. It is also the lever to enable a wide range of new digital services and applications, many of which we cannot even imagine today.

The BMBF-funded AI-NET (Accelerating Digital Transformation in Europe by Intelligent NETwork Automation) project brings together three fields of technology: Communications Networks and Technologies for 5G and Beyond, Near-Use Data Centers, and Artificial Intelligence (AI). Under the umbrella of the industry-led AI-NET project, researchers from seven European countries have come together in three sub-groups to explore novel solutions for optical communication network automation and bring them to application maturity.

The Chair of Communications is involved in the AI-NET-PROTECT (Providing Resilient and Secure Networks Operating on Trusted Equipment to CriTical Infrastructures) subproject. In this project, concepts, network architectures and methods for automated and secure network operation in critical infrastructures and in the economy are investigated and developed. The focus is on the protection of sensitive and security-relevant data and a high robustness of the network infrastructure. Strong security is ensured by approaches such as proactive anomaly detection, complex cryptographic methods, and quantum-safe algorithms - algorithms that cannot be decrypted by quantum computers. The high-performance and robust network operation is based, among other things, on an easily expandable network architecture, a separation of software and hardware, and AI. Thus, for example, automated resource allocation and control in the network or remote commissioning and maintenance of network devices is possible.

For more information, see Project AI-NET-PROTECT - CELTIC-NEXT

This project receives funding from the BMBF. The project volume is €22.9 million and the project duration is from Feb. 1, 2021 to Jan. 31, 2024. Further information can be found on the website of the BMBF.

Automation and Control

  • color_key Prof. Dr. Thomas Meurer

  • color_key Prof. Dr. Stephan Pachnicke
Computational Electromagnetics

  • color_key Prof. Dr. Ludger Klinkenbusch
Digital Signal Processing and System Theory

  • color_key Prof. Dr. Gerhard Schmidt
Information and Coding Theory

  • color_key Prof. Dr. Peter A. Höher
Integrated Systems and Photonics

  • color_key Prof. Dr. Martina Gerken
Microwave Engineering

  • color_key Prof. Dr. Michael Höft

  • color_key Prof. Dr. Hermann Kohlstedt
Networked Electronic Systems

  • color_key Prof. Dr. Robert Rieger
Power Electronics

  • color_key Prof. Dr. Marco Liserre
Sensor System Electronics

  • color_key Prof. Dr. Andreas Bahr
Theoretical Electrical Engineering

  • color_key Prof. Dr. Jan Trieschmann