The project aims to develop a novel artificial intelligence-based radio resource and mobility management concept exploiting federated learning with the individual management processes handled via cooperating machine learning-based algorithms.

6G, Radio resource management, Mobility management, Machine learning, Federated learning, Artificial intelligence

Major results and publications

    The objective of this project is to carry out experiments and tests of an impact of 5G radio access network settings on key performance indicators related to control of a robot located in Munichand controlled from Prague and to identify potential bottlenecks and limitations of 5G for such remote control via the interconnected testbed in Munich and Prague.

    Testbed, Remote robot control, 5G+, Performance 

    Major results and publications