10 papers
AIRMap: AI-Generated Radio Maps for Wireless Digital Twins
Ali Saeizadeh, Miead Tehrani-Moayyed, Davide Villa +4
Accurate, low-latency channel modeling is essential for real-time wireless network simulation and digital-twin applications. Traditional modeling methods like ray tracing are howev…
ARCHES: Adaptive Real-Time Switching of AI Models for the RAN
Neagin Neasamoni Santhi, Davide Villa, Michele Polese +4
Artificial Intelligence (AI) has become a powerful tool for model-free Radio Access Network (RAN) signal processing and optimization. However, designing a single model that general…
Programmable and GPU-Accelerated Edge Inference for Real-Time ISAC on NVIDIA Aerial Testbed
Davide Villa, Mauro Belgiovine, Nicholas Hedberg +3
The transition of cellular networks to (i) software-based systems on commodity hardware and (ii) platforms for services beyond connectivity introduces critical system-level challen…
Design and Evaluation of Next-Generation Cellular Networks through Digital and Physical Open and Programmable Platforms
Davide Villa
The evolution of the Radio Access Network (RAN) in 5G and 6G technologies marks a shift toward open, programmable, and softwarized architectures, driven by the Open RAN paradigm. T…
TIMESAFE: Timing Interruption Monitoring and Security Assessment for Fronthaul Environments
Joshua Groen, Simone Di Valerio, Imtiaz Karim +9
5G and beyond cellular systems embrace the disaggregation of Radio Access Network (RAN) components, exemplified by the evolution of the fronthaul (FH) connection between cellular b…
InterfO-RAN: Real-Time In-band Cellular Uplink Interference Detection with GPU-Accelerated dApps
Neagin Neasamoni Santhi, Davide Villa, Michele Polese +1
Ultra-dense fifth generation (5G) and beyond networks leverage spectrum sharing and frequency reuse to enhance throughput, but face unpredictable in-band uplink (UL) interference c…