Project6G-RIC – Verbundprojekt: 6G Research and Innovation Cluster (6G-RIC) Offene und sichere 6G-Technologien:…

Basic data

Verbundprojekt: 6G Research and Innovation Cluster (6G-RIC) Offene und sichere 6G-Technologien: Weltmarktchance für Deutschland - 6G-RIC -; Teilvorhaben: Entscheidungsstrategien basierend auf künstlicher Intelligenz und maschinellem Lernen zur Optimierung der Leistungsfähigkeit zukünftiger drahtloser Technologien
01/08/2021 to 31/07/2025
Abstract / short description:
The use of AI/ML-based strategies that require little or no prior information increases the efficiency of technological networks in terms of several performance metrics. For example, they reduce signaling and feedback overhead, improve security and privacy, and are compatible with the self-interest of devices, vendors, and stakeholders. Nevertheless, the algorithmic decision strategies must adapt to the physical properties of the problem and the specific nature of the communication medium. For example, in wireless networks, the interference, changes in channel quality, and hardware limitations exacerbate the problem.
The core contribution of this project is the development of AI/ML-based decision strategies for application in wireless networks. Such methods shall be robust against information scarcity and amenable to distributed implementation. In particular, the goal is to apply the theoretical schemes to solve several research problems at different network layers, including radio resource management, joint communications and sensing, function placement, multi-connectivity, and beam selection.

Involved staff


Wilhelm Schickard Institute of Computer Science (WSI)
Department of Informatics, Faculty of Science

Local organizational units

Department of Informatics
Faculty of Science
University of Tübingen


Bonn, Nordrhein-Westfalen, Germany

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