42 citations · 81 across the 28 of their papers we have counts for
13 papers · 1 filter
Reliable LLM-Based Edge-Cloud-Expert Cascades for Telecom Knowledge Systems
Qiushuo Hou, Sangwoo Park, Matteo Zecchin +4
Large language models (LLMs) are emerging as key enablers of automation in domains such as telecommunications, assisting with tasks including troubleshooting, standards interpretat…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
O-RIS-ing: Evaluating RIS-Assisted NextG Open RAN
Maria Tsampazi, Michele Polese, Falko Dressler +1
Reconfigurable Intelligent Surfaces (RISs) pose as a transformative technology to revolutionize the cellular architecture of Next Generation (NextG) Radio Access Networks (RANs). P…
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…