Prof. Dr.-Ing. Stephan Ludwig

5G++ FlexiCell is funded by the federal ministry for economy, business and climate protection (BMWK).

Project partners are:

• Prof. Dr. Doris Aschenbrenner and Prof. Dr.-Ing. Stephan Ludwig (consortium leader)
• Awesome Technologies Innovationslabor GmbH, Würzburg
• Blackned GmbH, Heimertingen
• Carl Zeiss Automated Inspection GmbH, Neuenstein
• Joyson PlasTec GmbH, Bad Kissingen
• TU Ilmenau, Prof. Dr.-Ing. Jörg Robert
• VARTA Microbattery GmbH, Ellwangen

Publications:

• Press release "5G paves the way for flexible production in SMEs: Aalen University of Applied Sciences, Varta and Zeiss launch project partnership "5G++ FlexiCell"
• "5G research project: Flexible production in SMEs", computer & automation
• "5G++ FlexiCell" project partnership: Aalen University of Applied Sciences conducts research into 5G in SME production, industrie.de
• D. Aschenbrenner, M. Scharle, S. Ludwig: "FlexiCell: 5G location-based context-aware agile manufacturing", Procedia CIRP, Volume 107, 2022, Pages 1455-1460, ISSN 2212-8271, https://doi.org/10.1016/j.procir.2022.05.174
• Press release "5G paves the way for flexible production in SMEs: Aalen University of Applied Sciences presents the first results of the "5G++ FlexiCell" project partnership to the Federal Ministry of Economics"
• S. Ludwig, D. Aschenbrenner, et al.: "Reference Network and Localization Architecture for Smart Manufacturing Based on 5G", International Conference on System-Integrated Intelligence, Advances in System-Integrated Intelligence. SYSINT, Genove, Italy, 2022. Lecture Notes in Networks and Systems, vol 546. Springer, 2022, https://doi.org/10.1007/978-3-031-16281-7_44
• D. Aschenbrenner, S. Ludwig: "5G concepts for large corporations are being imposed on SMEs", interview by Thomas Siebel, 15.12.2022, Springer Professional Online article
• D. Aschenbrenner, S. Ludwig: "5G project paves the way for flexible production", Springer maschinenbau, issue 6/2022

5G-trAAffic (term, period of validity, duration 1.1.2022-31.12.2024) is researching the use of 5G mobile communications in the context of a smart intersection. The project, which is funded by the federal ministry for digital affairs and transport (BMDV), aims to

1. make inner-city intersections safer through 5G-based collision warnings
2. improve the flow of all road users with the help of 5G-based data collection, data capture, data analytics and artificial intelligence.

Project partners are:

• City of Aalen
• Bernard Technologie GmbH, Munich
• Fraunhofer IAO, Stuttgart
• Hemut-Schmidt University, Hamburg
• T-Systems Deutschland GmbH, Leinfelden-Echterdingen
• Center for Digital Development (ZDE), Westhausen

Publications:

• Press release "More safety for road users through 5G"

safe hAAven 5G++ (term, period of validity, duration 1.1.2023-31.12.2024) researches new IT security approaches for data protection-compliant data sharing in 5G mobile networks using the example of traffic flow optimization. The project, which is funded by the Federal Ministry of the Interior and the Federal Office for Information Security (BSI),

1. aims to make the security and data protection settings of 5G infrastructure in smart city applications easier to understand;
2. is researching new IT Security mechanisms that allow data to be shared only locally in a data protection-compliant and IT-secure manner.

Project partners are:

• City of Aalen
• Conclurer GmbH, Heidenheim
• GEO Data GmbH, Westhausen with its subsidiaries Center for Digital Development (ZDE) and KI-P

Professor Ludwig is an expert in the standardization working group in TC197/WG24 (refuelling protocols) of the International Organization for Standardization (ISO) and the associated mirror committee in the German department, institute for standardization (DIN). There, he and his team are developing functional and IT Security radio communication procedures based on existing communication technologies that can significantly accelerate the refueling of fuel cell trucks.

As part of the funding in the EXPLOR program of the KESSLER+CO Foundation for Education and Culture in Abtsgmünd, two research topics in 6G mobile communications are to be prepared:

• Channel modeling and description for joint communication and sensor/radar
• Model-based machine learning approaches for more resource-efficient signal processing when creating RADAR images using communication technologies

The aim of the research activity is to contribute to the development of 6G mobile radio, in which e.g. access points/base stations can jointly generate a radar image by evaluating the training sequences sent in the course of data transmission. The classic Radar signal processing is to be transferred to the new transmission signal/application cases.