14 citations · 22 across the 12 of their papers we have counts for
14 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,…
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…
TENORAN: Automating Fine-grained Energy Efficiency Profiling in Open RAN Systems
Ravis Shirkhani, Stefano Maxenti, Leonardo Bonati +7
The transition to disaggregated and interoperable Open Radio Access Network (RAN) architectures and the introduction of RAN Intelligent Controllers (RICs) in O-RAN creates new reso…
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…
CORMO-RAN: Lossless Migration of xApps in O-RAN
Antonio Calagna, Stefano Maxenti, Leonardo Bonati +3
Open Radio Access Network (RAN) is a key paradigm to attain unprecedented flexibility of the RAN via disaggregation and Artificial Intelligence (AI)-based applications called xApps…
ALLSTaR: Automated LLM-Driven Scheduler Generation and Testing for Intent-Based RAN
Maxime Elkael, Michele Polese, Reshma Prasad +2
The evolution toward open, programmable O-RAN and AI-RAN 6G networks creates unprecedented opportunities for Intent-Based Networking (IBN) to dynamically optimize RAN[...]. However…
AutoRAN: Automated and Zero-Touch Open RAN Systems
Stefano Maxenti, Ravis Shirkhani, Maxime Elkael +4
[...] This paper presents AutoRAN, an automated, intent-driven framework for zero-touch provisioning of open, programmable cellular networks. Leveraging cloud-native principles, Au…
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…
Twinning Commercial Network Traces on Experimental Open RAN Platforms
Leonardo Bonati, Ravis Shirkhani, Claudio Fiandrino +4
While the availability of large datasets has been instrumental to advance fields like computer vision and natural language processing, this has not been the case in mobile networki…
Open6G OTIC: A Blueprint for Programmable O-RAN and 3GPP Testing Infrastructure
Gabriele Gemmi, Michele Polese, Pedram Johari +3
Softwarized and programmable Radio Access Networks (RANs) come with virtualized and disaggregated components, increasing the supply chain robustness and the flexibility and dynamis…
X5G: An Open, Programmable, Multi-vendor, End-to-end, Private 5G O-RAN Testbed with NVIDIA ARC and OpenAirInterface
Davide Villa, Imran Khan, Florian Kaltenberger +11
As Fifth generation (5G) cellular systems transition to softwarized, programmable, and intelligent networks, it becomes fundamental to enable public and private 5G deployments that…
Colosseum: The Open RAN Digital Twin
Michele Polese, Leonardo Bonati, Salvatore D'Oro +11
Recent years have witnessed the Open Radio Access Network (RAN) paradigm transforming the fundamental ways cellular systems are deployed, managed, and optimized. This shift is led…
ScalO-RAN: Energy-aware Network Intelligence Scaling in Open RAN
Stefano Maxenti, Salvatore D'Oro, Leonardo Bonati +3
Network virtualization, software-defined infrastructure, and orchestration are pivotal elements in contemporary networks, yielding new vectors for optimization and novel capabiliti…
Survival Analysis with Adversarial Regularization
Michael Potter, Stefano Maxenti, Michael Everett
Survival Analysis (SA) models the time until an event occurs, with applications in fields like medicine, defense, finance, and aerospace. Recent research indicates that Neural Netw…