Lorenzo Mario Amorosa

20 papers B 4Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Goal-Oriented Learning at the Edge: Graph Neural Networks Over-the-Air for Blockage Prediction.
CoRR
Lorenzo Mario Amorosa, Zhan Gao, Tony Chahoud, Yiqun Wu, Lukas Eller, Marco Skocaj, Roberto Verdone
2026 J jnl
Multi-Agent Meta-Advisor for UAV Fleet Trajectory Design in Vehicular Networks.
CoRR
Leonardo Spampinato, Lorenzo Mario Amorosa, Enrico Testi, Chiara Buratti, Riccardo Marini
2026 J jnl
V2N-Based Algorithm and Communication Protocol for Autonomous Non-Stop Intersections.
CoRR
Lorenzo Farina, Lorenzo Mario Amorosa, Marco Rapelli, Barbara Mavi Masini, Claudio Casetti, Alessandro Bazzi
2025 J jnl
5G Architectures Enabling Remaining Useful Life Estimation for Industrial IoT: A Holistic Study.
IEEE Open J. Commun. Soc.
Nicolò Longhi, Lorenzo Mario Amorosa, Sara Cavallero, Enrico Buracchini, Roberto Verdone
2025 B conf
Distributed Beamforming with Incomplete Channel State Information in MISO Networks via GNNs.
PIMRC
Lorenzo Mario Amorosa, Tony Chahoud, Zhan Gao, Roberto Verdone, Deniz Gündüz
2025 B conf
Efficient Dynamic Beamforming Activation for UAV-Enabled Vehicular Networks.
PIMRC
Leonardo Spampinato, Lorenzo Mario Amorosa, Marco Skocaj, Greta Vallero, Daniela Renga, Chiara Buratti
2025 — conf
Goal-Oriented Uplink Scheduling Requests in Wireless Networks via Graph Neural Networks.
EUROCON
Lorenzo Mario Amorosa, Leonardo Spampinato, Chiara Buratti, Roberto Verdone
2025 J jnl
Improving Outdoor Multi-cell Fingerprinting-based Positioning via Mobile Data Augmentation.
CoRR
Tony Chahoud, Lorenzo Mario Amorosa, Riccardo Marini, Luca De Nardis
2025 J jnl
Learning a Decentralized Medium Access Control Protocol for Shared Message Transmission.
CoRR
Lorenzo Mario Amorosa, Zhan Gao, Roberto Verdone, Petar Popovski, Deniz Gündüz
2025 — conf
On the Predictability of the Best V2X Path for Infrastructure-Assisted Automated Driving.
CSCN
Andrea Giovannini, Claudia Campolo, Vittorio Todisco, Antonella Molinaro, Lorenzo Mario Amorosa, Lu Lei, Alessandro Bazzi
2025 B conf
Path Selection Based on Network Service Quality for Infrastructure-Assisted Automated Driving.
WCNC
Andrea Giovannini, Claudia Campolo, Vittorio Todisco, Antonella Molinaro, Lorenzo Mario Amorosa, Lu Lei, Alessandro Bazzi
2025 J jnl
Reconstruction of Sparse Urban Wireless Signals via Group Equivariant Non-Expansive Operators.
CoRR
Lorenzo Mario Amorosa, Francesco Conti, Nicola Quercioli, Flavio Zabini, Tayebeh Lotfi Mahyari, Yiqun Ge, Patrizio Frosini
2025 J jnl
Robust Physical-Layer Key Generation Using UWB in Industrial IoT: A Measurement-Based Analysis.
J. Sens. Actuator Networks
Lorenzo Mario Amorosa, Stefano Caputo, Lorenzo Mucchi, Gianni Pasolini
2024 J jnl
GUMBLE: Uncertainty-Aware Conditional Mobile Data Generation Using Bayesian Learning.
IEEE Trans. Mob. Comput.
Marco Skocaj, Lorenzo Mario Amorosa, Michele Lombardi, Roberto Verdone
2024 — conf
Multi-Agent Reinforcement Learning for Power Control in Wireless Networks via Adaptive Graphs.
ICC
Lorenzo Mario Amorosa, Marco Skocaj, Roberto Verdone, Deniz Gündüz
2023 B conf
An End-To-End Analysis of Deep Learning-Based Remaining Useful Life Algorithms for Satefy-Critical 5G-Enabled IIoT Networks.
PIMRC
Lorenzo Mario Amorosa, Nicolò Longhi, Giampaolo Cuozzo, Weronika Maria Bachan, Valerio Lieti, Enrico Buracchini, Roberto Verdone
2023 J jnl
An End-To-End Analysis of Deep Learning-Based Remaining Useful Life Algorithms for Satefy-Critical 5G-Enabled IIoT Networks.
CoRR
Lorenzo Mario Amorosa, Nicolò Longhi, Giampaolo Cuozzo, Weronika Maria Bachan, Valerio Lieti, Enrico Buracchini, Roberto Verdone
2023 J jnl
Multi-Agent Reinforcement Learning for Power Control in Wireless Networks via Adaptive Graphs.
CoRR
Lorenzo Mario Amorosa, Marco Skocaj, Roberto Verdone, Deniz Gündüz
2022 J jnl
Cellular Network Capacity and Coverage Enhancement with MDT Data and Deep Reinforcement Learning.
Comput. Commun.
Marco Skocaj, Lorenzo Mario Amorosa, Giorgio Ghinamo, Giuliano Muratore, Davide Micheli, Flavio Zabini, Roberto Verdone
2022 J jnl
Cellular Network Capacity and Coverage Enhancement with MDT Data and Deep Reinforcement Learning.
CoRR
Marco Skocaj, Lorenzo Mario Amorosa, Giorgio Ghinamo, Giuliano Muratore, Davide Micheli, Flavio Zabini, Roberto Verdone