Projecte matriculat
Títol: AI tools development applied to O-RAN in 6G MEC
Director: CERVELLÓ PASTOR, CRISTINA
Departament: ENTEL
Títol: AI tools development applied to O-RAN in 6G MEC
Data inici oferta: 20-07-2023 Data finalització oferta: 20-03-2024
Estudis d'assignació del projecte:
MU MASTEAM 2015
Tipus: Individual | |
Lloc de realització: EETAC | |
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Objective:
Design, develop and validate a set of techniques based on the application of Federated Learning, which, combined with Deep Reinforcement Learning, will allow the 6G MEC to be integrated with the O-RAN architecture. The solution will be deployed in an automated distributed management use case with minimal human intervention in massive and heterogeneous communications of real- time services. Tasks: - Design and evaluate AI/ML algorithms to build and apply local and global models in distributed environments with hundreds of agents located at the end users, the access network, and the core in dynamic scenarios. |
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