ML/AI – 6gmobile

-Ongoing-6G ML/AI Mobility RRM TestbedIntelligent Radio Resource and Mobility Management based on Federated Learning

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

-Ongoing-5G 6G MEC ML/AI Testbed VehicularPredictive allocation of edge computing resources for autonomous driving

Joint allocation of computing and radio resources based on blockchain for secure distributed processing of the complex applications for autonomous driving.

-Ongoing-6G D2D MEC ML/AI Mobility RRM UAVCooperation with the International Research Centre in Area of Digital Communication Systems

Machine learning for mobile network optimization and for image processing

6G ML/AI Mobility RRM UAVCommunication in Self-optimizing Mobile Networks with Drones

Mobile networks with UAVs mounted on drones and acting as flying base stations

5G 6G Architecture D2D MEC ML/AI RRMCooperation with the International Research Centre in Area of Communication Systems

Exploitation of machine learning for optimization of mobile networks

6G D2D ML/AI Mobility RRMCombined Radio Frequency and Visible Light Bands for Device-to-Device communication

D2D communication combining conventional RF bands and VLC