| KEYWORD |
Machine Learning for 5G/6G Mobile Networks
Parole chiave 5G NETWORKS, ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, MOBILE NETWORKS
Riferimenti CLAUDIO ETTORE CASETTI, CARLA FABIANA CHIASSERINI
Gruppi di ricerca Telecommunication Networks Group
Tipo tesi EXPERIMENTAL AND MODELING
Descrizione 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.
Conoscenze richieste Good programming skills and basic networking knowledge
Scadenza validita proposta 11/06/2020
PROPONI LA TUA CANDIDATURA