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20242026
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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…

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…

eess.SP2026

Digital Twin-Based Beamforming for Interference Mitigation in AF Relay MIMO Systems

Alexander Bonora, Anna V. Guglielmi, Davide Scazzoli +4

Beamforming in multiple-input multiple-output (MIMO) systems should take interference mitigation into account. However, for beamform design, accurate channel state information (CSI…

eess.SP2025

High-Fidelity RF Mapping: Assessing Environmental Modeling in 6G Network Digital Twins

Lorenzo Cazzella, Francesco Linsalata, Damiano Badini +3

The design of accurate Digital Twins (DTs) of electromagnetic environments strictly depends on the fidelity of the underlying environmental modeling. Evaluating the differences amo…

eess.SP2025

Low-Complexity CNN-Based Classification of Electroneurographic Signals

Arek Berc Gokdag, Silvia Mura, Antonio Coviello +3

Peripheral nerve interfaces (PNIs) facilitate neural recording and stimulation for treating nerve injuries, but real-time classification of electroneurographic (ENG) signals remain…