papers

Publications (9)

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

Opportunities and Challenges for Virtual Reality Streaming over Millimeter-Wave: An Experimental Analysis

Jakob Struye, Hemanth Kumar Ravuri, Hany Assasa +5

Achieving extremely high-quality and truly immersive interactive Virtual Reality (VR) is expected to require a wireless link to the cloud, providing multi-gigabit throughput and ex…

cs.NI2023

Mid-Band 5G: A Measurement Study in Europe and US

Rostand A. K. Fezeu, Jason Carpenter, Claudio Fiandrino +5

Fifth Generation (5G) mobile networks mark a significant shift from previous generations of networks. By introducing a flexible design, 5G networks support highly diverse applicati…

cs.NI2026

SymbXRL: Symbolic Explainable Deep Reinforcement Learning for Mobile Networks

Abhishek Duttagupta, MohammadErfan Jabbari, Claudio Fiandrino +2

The operation of future 6th-generation (6G) mobile networks will increasingly rely on the ability of deep reinforcement learning (DRL) to optimize network decisions in real-time. D…

cs.NI2024

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…

cs.NI2026

Spectrum & RAN Sharing: A Measurement-based Case Study of Commercial 5G Networks in Spain

Rostand A. K. Fezeu, Lilian C. Freitas, Eman Ramadan +4

Radio Access Network (RAN) sharing, which often also includes spectrum sharing, is a strategic cooperative agreement among two or more mobile operators, where one operator may use…