-Ongoing-6GD2DMECML/AIMobilityRRMUAVCooperation with the International Research Centre in Area of Digital Communication Systems

Machine learning for mobile network optimization and for image processing

The project supports collaboration with EURECOM and its members and partners in area of machine learning for optimization of mobile networks. From the scientific point of view, the objective is to develop algorithms and methods for network control and allocation of distributed computing resources in mobile networks with cloud-based architecture encompassing Multi-access Edge Computing and Cloud-RAN and exploit machine learning for image processing and compression.

Device-to-device, Edge computing, Mobility management, Radio resource management, UAVs/Flying base stations, Machine learning

Major results and publications

Date:
03/2020 - 12/2024
Project no.:
LTT 20004
Funding:
Ministry of Education, Youth and Sports
Budget:
~730k EUR
PI:
Zdenek Becvar
Team (6Gm):
Pavel Mach, Mehyar Najla, Jan Plachy, Aida Madelkhanova, Saleh Nikooroo
Partners:
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Topics:
D2D, UAV, MEC, Mobility, RRM, ML

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