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Machine Learning for 5G/6G

Parole chiave 5G, 6G NETWORKS, SIMULATION, ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, MACHINE LEARNING, DEEP LEARNING, OPTIMIZATION

Riferimenti CARLA FABIANA CHIASSERINI

Gruppi di ricerca Telecommunication Networks Group

Tipo tesi EXPERIMENTAL - DESIGN

Descrizione A new trend is emerging in 5G/6G communication networks, aiming at developing new solutions for the support of mobile services that leverage Machine Learning. In particular, the policies and strategies to apply will be the result of a decision-making process performed through Machine Learning (ML) models. By adopting an ML (Deep Neural Network - DNN) model provided by NVIDIA, the goal of the thesis work is to assess the DNN performance in terms of decision quality and energy efficiency. The ultimate objective is indeed to make ML for 5G/6G sustainable.

Conoscenze richieste Good Python programming skills


Scadenza validita proposta 08/03/2024      PROPONI LA TUA CANDIDATURA




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