6 citations · 9 across the 8 of their papers we have counts for
10 papers
Bringing dApps to OCUDU: An E3 Controller for Real-Time Open RAN Intelligence
Angelo Feraudo, Ravis Shirkhani, Stefano Maxenti +3
Real-time control loops in Open RAN are increasingly colocated with the gNB, where dApps, i.e., programmable applications with sub-millisecond access to PHY- and MAC-layer signals,…
GENESIS: Harnessing AI Agents for Autonomous 6G RAN Synthesis, Research, and Testing
Tamerlan Aghayev, Maxime Elkael, Michele Polese +11
Cellular research and development (R&D) is throttled by six structural processes that each consume months of manual engineering work per iteration: (i) synthesizing new features fr…
xDevSM: An Open-Source Framework for Portable, AI-Ready xApps Across Heterogeneous O-RAN Deployments
Angelo Feraudo, Stefano Maxenti, Andrea Lacava +4
Openness and programmability in the O-RAN architecture enable closed-loop control of the Radio Access Network (RAN). Artificial Intelligence (AI)-driven xApps, in the near-real-tim…
xDevSM: Streamlining xApp Development With a Flexible Framework for O-RAN E2 Service Models
Angelo Feraudo, Stefano Maxenti, Andrea Lacava +3
RAN Intelligent Controllers (RICs) are programmable platforms that enable data-driven closed-loop control in the O-RAN architecture. They collect telemetry and data from the RAN, p…
Controlling Communications Quality in V2V Platooning: a TSN-like Slot-Based Scheduler Approach
Angelo Feraudo, Andrea Garbugli, Paolo Bellavista
Connected vehicles, facilitated by Vehicle-to-Vehicle (V2V) communications, play a key role in enhancing road safety and traffic efficiency. However, V2V communications primarily r…
A Novel OMNeT++-based Simulation Tool for Vehicular Cloud Computing in ETSI MEC-compliant 5G Environments
Angelo Feraudo, Alessandro Calvio, Paolo Bellavista
Vehicular cloud computing is gaining popularity thanks to the rapid advancements in next generation wireless communication networks. Similarly, Edge Computing, along with its stand…