activity
20142026
most citedSecuring the Internet of Things in the Age of Machine Learning and Software-defined Networking

285 citations · 1.2k across the 69 of their papers we have counts for

collaborators
Showing 2025Show all

12 papers · 1 filter

cs.NI2025

On AI Verification in Open RAN

Rahul Soundrarajan, Claudio Fiandrino, Michele Polese +3

Open RAN introduces a flexible, cloud-based architecture for the Radio Access Network (RAN), enabling Artificial Intelligence (AI)/Machine Learning (ML)-driven automation across he…

cs.NI2025

TailO-RAN: O-RAN Control on Scheduler Parameters to Tailor RAN Performance

Nicolo Longhi, Salvatore D'Oro, Leonardo Bonati +3

The traditional black-box and monolithic approach to Radio Access Networks (RANs) has heavily limited flexibility and innovation. The Open RAN paradigm, and the architecture propos…

cs.CR2025

VeriPHY: Physical Layer Signal Authentication for Wireless Communication in 5G Environments

Clifton Paul Robinson, Salvatore D'Oro, Tommaso Melodia

Physical layer authentication (PLA) uses inherent characteristics of the communication medium to provide secure and efficient authentication in wireless networks, bypassing the nee…

cs.AI2025

AgentRAN: An Agentic AI Architecture for Autonomous Control of Open 6G Networks

Maxime Elkael, Salvatore D'Oro, Leonardo Bonati +4

Despite the programmable architecture of Open RAN, today's deployments still rely heavily on static control and manual operations. To move beyond this limitation, we introduce Agen…

cs.NI2025

Beyond Connectivity: An Open Architecture for AI-RAN Convergence in 6G

Michele Polese, Niloofar Mohamadi, Salvatore D'Oro +2

Data-intensive Artificial Intelligence (AI) applications at the network edge demand a fundamental shift in Radio Access Network (RAN) design, from merely consuming AI for network o…

cs.NI2025

5G Aero: A Prototyping Platform for Evaluating Aerial 5G Communications

Matteo Bordin, Madhukara S. Holla, Sakthivel Velumani +2

The application of small-factor, 5G-enabled Unmanned Aerial Vehicles (UAVs) has recently gained significant interest in various aerial and Industry 4.0 applications. However, ensur…

cs.NI2025

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…

cs.NI2025★ 1 cited

LibIQ: Toward Real-Time Spectrum Classification in O-RAN dApps

Filippo Olimpieri, Noemi Giustini, Andrea Lacava +3

The O-RAN architecture is transforming cellular networks by adopting RAN softwarization and disaggregation concepts to enable data-driven monitoring and control of the network. Suc…

cs.NI2025★ 1 cited

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…

cs.NI2025★ 3 cited

Large-Scale AI in Telecom: Charting the Roadmap for Innovation, Scalability, and Enhanced Digital Experiences

Adnan Shahid, Adrian Kliks, Ahmed Al-Tahmeesschi +132

This white paper discusses the role of large-scale AI in the telecommunications industry, with a specific focus on the potential of generative AI to revolutionize network functions…

cs.NI2025★ 18 cited

dApps: Enabling Real-Time AI-Based Open RAN Control

Andrea Lacava, Leonardo Bonati, Niloofar Mohamadi +7

Open Radio Access Networks (RANs) leverage disaggregated and programmable RAN functions and open interfaces to enable closed-loop, data-driven radio resource management. This is pe…

cs.NI2025★ 4 cited

Intent-based Radio Scheduler for RAN Slicing: Learning to deal with different network scenarios

Cleverson Nahum, Salvatore D'Oro, Pedro Batista +4

The future mobile network has the complex mission of distributing available radio resources among various applications with different requirements. The radio access network slicing…