64 citations · 82 across the 14 of their papers we have counts for
4 papers · 1 filter
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…
Explainable AI in 6G O-RAN: A Tutorial and Survey on Architecture, Use Cases, Challenges, and Future Research
Bouziane Brik, Hatim Chergui, Lanfranco Zanzi +5
The recent O-RAN specifications promote the evolution of RAN architecture by function disaggregation, adoption of open interfaces, and instantiation of a hierarchical closed-loop c…
Autonomous RISs and Oblivious Base Stations: The Observer Effect and its Mitigation
Victor Croisfelt, Francesco Devoti, Fabio Saggese +3
Autonomous reconfigurable intelligent surfaces (RISs) offer the potential to simplify deployment by reducing the need for real-time remote control between a base station (BS) and a…
ARES: Autonomous RIS solution with Energy harvesting and Self-configuration towards 6G
Antonio Albanese, Francesco Devoti, Vincenzo Sciancalepore +3
Reconfigurable Intelligent Surfaces (RISs) are expected to play a crucial role in reaching the key performance indicators (KPIs) for future 6G networks. Their competitive edge over…