34 citations · 157 across the 46 of their papers we have counts for
50 papers
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…
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…
A Physics-Based Digital Human Twin for Galvanic-Coupling Wearable Communication Links
Silvia Mura, Chiara Cavigliano, Anna Marcucci +3
This paper presents a systematic characterization of wearable galvanic coupling (GC) channels under narrowband and wideband operation. A physics-consistent digital human twin maps…
Layered Dielectric Characterization of Human Skin in the Sub-Terahertz and Terahertz Frequency Ranges
Silvia Mura, Elisabetta Marini, Maurizio Magarini +2
Sub-terahertz (sub-THz) and terahertz (THz) radiation offer unique opportunities for non-invasive diagnostics and imaging due to their sensitivity to water content and molecular dy…
Experimental Characterization of Biological Tissue Dielectric Properties through THz Time-Domain Spectroscopy
Elisabetta Marini, Silvia Mura, Marco Hernandez +2
Terahertz (THz) radiation provides a non-ionizing, highly sensitive probe of the dielectric properties of biological tissues. In this study, we present a comprehensive experimental…
Trade-Offs in FMCW Radar-Based Respiration and Heart Rate Variability
Silvia Mura, Davide Scazzoli, Lorenzo Fineschi +1
This study presents a comprehensive experimental assessment of a low-cost frequency-modulated continuous-wave (FMCW) multiple-input multiple-output (MIMO) radar for non-contact vit…
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…
CoBA: Integrated Deep Learning Model for Reliable Low-Altitude UAV Classification in mmWave Radio Networks
Junaid Sajid, Ivo Müürsepp, Luca Reggiani +5
Uncrewed Aerial Vehicles (UAVs) are increasingly used in civilian and industrial applications, making secure low-altitude operations crucial. In dense mmWave environments, accurate…
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…
Modeling Plant Action Potentials under Photoperiod Stress via Hodgkin-Huxley Dynamics
Imen Bekkari, Maurizio Magarini, Hamdan Awan
Plants exhibit dynamic bioelectric properties that facilitate information transfer across tissues. This study investigates action potentials (APs) in Nicotiana tabacum recorded wit…
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…
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…
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…
Semantic Communications via Features Identification
Federico Francesco Luigi Mariani, Michele Zhu, Maurizio Magarini
The development of the new generation of wireless technologies (6G) has led to an increased interest in semantic communication. Thanks also to recent developments in artificial int…
Bayesian EM Digital Twins Channel Estimation
Lorenzo Del Moro, Francesco Linsalata, Marouan Mizmizi +3
This letter proposes a Bayesian channel estimation method that leverages on the a priori information provided by the Electromagnetic Digital Twin's (EM-DT) representation of the en…
Toward Real-Time Digital Twins of EM Environments: Computational Benchmark of Ray Launching Software
Michele Zhu, Lorenzo Cazzella, Francesco Linsalata +3
Digital Twin has emerged as a promising paradigm for accurately representing wireless communication electromagnetic environments. The resulting virtual representation of reality fa…
Integrated Communication and Imaging: Design, Analysis, and Performances of COSMIC Waveforms
Marco Manzoni, Francesco Linsalata, Maurizio Magarini +1
This paper presents COSMIC (Connectivity-Oriented Sensing Method for Imaging and Communication), an innovative waveform design framework that integrates environmental radio imaging…
Artificial Neural Networks-based Real-time Classification of ENG Signals for Implanted Nerve Interfaces
Antonio Coviello, Francesco Linsalata, Umberto Spagnolini +1
Neuropathies are gaining higher relevance in clinical settings, as they risk permanently jeopardizing a person's life. To support the recovery of patients, the use of fully implant…
A Thorough Analysis of Radio Resource Assignment for UAV-Enhanced Vehicular Sidelink Communications
Francesca Conserva, Francesco Linsalata, Marouan Mizmizi +4
The rapid expansion of connected and autonomous vehicles (CAVs) and the shift towards millimiter-wave (mmWave) frequencies offer unprecedented opportunities to enhance road safety…
Exploring ISAC Technology for UAV SAR Imaging
Stefano Moro, Francesco Linsalata, Marco Manzoni +2
This paper illustrates the potential of an Integrated Sensing and Communication (ISAC) system, operating in the sub-6 GHz frequency range, for Synthetic Aperture Radar (SAR) imagin…
Semantic Information in MC: Chemotaxis Beyond Shannon
Lukas Brand, Yan Wang, Maurizio Magarini +2
The recently emerged molecular communication (MC) paradigm intends to leverage communication engineering tools for the design of synthetic chemical communication systems. These sys…
On the Achievable Rate of MIMO Narrowband PLC with Spatio-Temporal Correlated Noise
Mohammadreza Bakhshizadeh Mohajer, Sadaf Moaveninejad, Atul Kumar +4
Narrowband power line communication (NB-PLC) systems are an attractive solution for supporting current and future smart grids. A technology proposed to enhance data rate in NB-PLC…
Achievable Information Rate Analysis in Diffusive Channels with Memory and Markov Source
Fardad Vakilipoor, Luca Barletta, Stefano Bregni +1
This paper explores the Achievable Information Rate (AIR) of a diffusive Molecular Communication (MC) channel featuring a fully absorbing receiver that counts the absorbed particle…
Parametric Channel Estimation with Short Pilots in RIS-Assisted Near- and Far-Field Communications
Mehdi Haghshenas, Parisa Ramezani, Maurizio Magarini +1
Considering the dimensionality of a typical reconfigurable intelligent surface (RIS), channel state information acquisition in RIS-assisted systems requires lengthy pilot transmiss…