40 citations · 71 across the 14 of their papers we have counts for
6 papers · 1 filter
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…
StormShield: Fingerprint-Based Detection and Mitigation of RRC Signaling Storms in O-RAN 5G RANs
Noemi Giustini, Andrea Lacava, Leonardo Bonati +4
5G networks provide low-latency, high throughput, and massive connectivity, yet the control plane remains exposed to several security threats. Among the most common and impactful t…
Performance Characterization of dApps in Open Radio Access Networks
Conrado Boeira, Eduardo Baena, Andrea Lacava +3
Despite recommendations to deploy real-time Open Radio Access Network (O-RAN) applications (dApps) in containerized environments, existing approaches predominantly rely on bare-met…
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…
Enabling Deep Reinforcement Learning Research for Energy Saving in Open RAN
Matteo Bordin, Andrea Lacava, Michele Polese +2
The growing performance demands and higher deployment densities of next-generation wireless systems emphasize the importance of adopting strategies to manage the energy efficiency…