Machine Learning for 5G/6G Mobile Networks
keywords 5G NETWORKS, ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, MOBILE NETWORKS
Reference persons CLAUDIO ETTORE CASETTI, CARLA FABIANA CHIASSERINI
Research Groups Telecommunication Networks Group
Thesis type EXPERIMENTAL AND MODELING
Description The thesis activity is connected with the EU projects "H2020 5Growth" and "H2020 5G-EVE".
The activity focuses on the autonomous management of both radio access and core networks, together with processing and storage resources at data centers while keeping in mind the emergence of new services and applications. The thesis includes the analysis of mobile traffic data collected from mobile networks and of user mobility traces, and AI-based network optimization using data.
Required skills Good programming skills and basic networking knowledge
Deadline 11/06/2020 PROPONI LA TUA CANDIDATURA