28 citations · 43 across the 10 of their papers we have counts for
10 papers
Chartwin: a Case Study on Channel Charting-aided Localization in Dynamic Digital Network Twins
Lorenzo Cazzella, Francesco Linsalata, Mahdi Maleki +3
Wireless communication systems can significantly benefit from the availability of spatially consistent representations of the wireless channel to efficiently perform a wide range o…
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…
Exploiting Age of Information in Network Digital Twins for AI-driven Real-Time Link Blockage Detection
Michele Zhu, Francesco Linsalata, Silvia Mura +3
The Line-of-Sight (LoS) identification is crucial to ensure reliable high-frequency communication links, especially those vulnerable to blockages. Network Digital Twins and Artific…
AI-empowered Real-Time Line-of-Sight Identification via Network Digital Twins
Michele Zhu, Silvia Mura, Francesco Linsalata +3
The identification of Line-of-Sight (LoS) conditions is critical for ensuring reliable high-frequency communication links, which are particularly vulnerable to blockages and rapid…
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…
Deep Learning-based Target-To-User Association in Integrated Sensing and Communication Systems
Lorenzo Cazzella, Marouan Mizmizi, Dario Tagliaferri +3
In Integrated Sensing and Communication (ISAC) systems, matching the radar targets with communication user equipments (UEs) is functional to several communication tasks, such as pr…
A Multi-Modal Simulation Framework to Enable Digital Twin-based V2X Communications in Dynamic Environments
Lorenzo Cazzella, Francesco Linsalata, Maurizio Magarini +2
Digital Twins (DTs) for physical wireless environments have been recently proposed as accurate virtual representations of the propagation environment that can enable multi-layer de…
SGDE: Secure Generative Data Exchange for Cross-Silo Federated Learning
Eugenio Lomurno, Alberto Archetti, Lorenzo Cazzella +3
Privacy regulation laws, such as GDPR, impose transparency and security as design pillars for data processing algorithms. In this context, federated learning is one of the most inf…
Deep Learning of Transferable MIMO Channel Modes for 6G V2X Communications
Lorenzo Cazzella, Dario Tagliaferri, Marouan Mizmizi +4
In the emerging high mobility Vehicle-to-Everything (V2X) communications using millimeter Wave (mmWave) and sub-THz, Multiple-Input Multiple-Output (MIMO) channel estimation is an…
Position-agnostic Algebraic Estimation of 6G V2X MIMO Channels via Unsupervised Learning
Lorenzo Cazzella, Dario Tagliaferri, Marouan Mizmizi +4
MIMO systems in the context of 6G Vehicle-to-Everything (V2X) will require an accurate channel knowledge to enable efficient communication. Standard channel estimation techniques,…