activity
20242026
collaborators

14 papers

eess.SP2026

Site Geometry and Calibration Uncertainties in Digital Twin-enabled Channel Estimation

Lorenzo Del Moro, Francesco Linsalata, Umberto Spagnolini +1

Fast ray tracing (RT) has stimulated the Digital Twin (DT) as an emerging technology for environment-aware communications. Since wireless propagation is governed by the interaction…

eess.SP2026

Multi-UE Identification and Localization in LAWN via an Autonomous Non-Serving UAV

Niccolò Paglierani, Francesco Linsalata, Vineeth Teeda +2

This paper presents an autonomous sensing framework for identifying and localizing multiple User Equipments (UEs) in Fifth Generation (5G) cellular networks using a non-serving Unm…

cs.NI2026

VaN3Twin: the Multi-Technology V2X Digital Twin with Ray-Tracing in the Loop

Roberto Pegurri, Diego Gasco, Francesco Linsalata +4

This paper presents VaN3Twin-the first open-source, full-stack Network Digital Twin (NDT) framework for simulating the coexistence of multiple Vehicle-to-Everything (V2X) communica…

eess.SP2026

Indoor 60 GHz Radio Channel Dataset Enabling Digital Twin Construction

Davide Scazzoli, Daniele de Santis, Francesco Linsalata +3

The ambitious performance targets of modern wireless networks, including 6G and Industrial IoT (IIoT) systems, necessitate advanced hardware platforms utilizing millimeter-wave (mm…

cs.NI2026

Predicting Networks Before They Happen: Experimentation on a Real-Time V2X Digital Twin

Roberto Pegurri, Habu Shintaro, Francesco Linsalata +6

Emerging safety-critical Vehicle-to-Everything (V2X) applications require networks to proactively adapt to rapid environmental changes rather than merely reacting to them. While Ne…

cs.NI2026

RF Intelligence for Health: Classification of SmartBAN Signals in overcrowded ISM band

Nicola Gallucci, Giacomo Aragnetti, Matteo Malagrinò +3

Accurate classification of Radio-Frequency (RF) signals is essential for reliable wearable health-monitoring systems, providing awareness of the interference conditions in which me…