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cs.NI2023
X-GRL: An Empirical Assessment of Explainable GNN-DRL in B5G/6G Networks
Farhad Rezazadeh, Sergio Barrachina-MuNoz, Engin Zeydan +3
The rapid development of artificial intelligence (AI) techniques has triggered a revolution in beyond fifth-generation (B5G) and upcoming sixth-generation (6G) mobile networks. Des…
cs.NI2023
A Multi-Agent Deep Reinforcement Learning Approach for RAN Resource Allocation in O-RAN
Farhad Rezazadeh, Lanfranco Zanzi, Francesco Devoti +4
Artificial intelligence (AI) and Machine Learning (ML) are considered as key enablers for realizing the full potential of fifth-generation (5G) and beyond mobile networks, particul…