AMOROSA, LORENZO MARIO
AMOROSA, LORENZO MARIO
DEI - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI"
Assegnisti
5G Architectures Enabling Remaining Useful Life Estimation for Industrial IoT: A Holistic Study
2025 Longhi, Nicolò; Amorosa, Lorenzo Mario; Cavallero, Sara; Buracchini, Enrico; Verdone, Roberto
Decentralized GNN-based Power Allocation with Varying Network Density
2025 Amorosa, L. M.; Gao, Z.; Chahoud, T.; Verdone, R.; Gunduz, D.
Distributed Beamforming with Incomplete Channel State Information in MISO Networks via GNNs
2025 Amorosa, Lorenzo Mario; Chahoud, Tony; Gao, Zhan; Verdone, Roberto; Gündüz, Deniz
Efficient Dynamic Beamforming Activation for UAV-Enabled Vehicular Networks
2025 Spampinato, Leonardo; Amorosa, Lorenzo Mario; Skocaj, Marco; Vallero, Greta; Renga, Daniela; Buratti, Chiara
Goal-Oriented Uplink Scheduling Requests in Wireless Networks via Graph Neural Networks
2025 Amorosa, Lorenzo Mario; Spampinato, Leonardo; Buratti, Chiara; Verdone, Roberto
On the Predictability of the Best V2X Path for Infrastructure-Assisted Automated Driving
2025 Giovannini, Andrea; Campolo, Claudia; Todisco, Vittorio; Molinaro, Antonella; Amorosa, Lorenzo Mario; Lei, Lu; Bazzi, Alessandro
Path Selection Based on Network Service Quality for Infrastructure-Assisted Automated Driving
2025 Giovannini, A.; Campolo, C.; Todisco, V.; Molinaro, A.; Amorosa, L. M.; Lei, L.; Bazzi, A.
Robust Physical-Layer Key Generation Using UWB in Industrial IoT: A Measurement-Based Analysis
2025 Amorosa, Lorenzo Mario; Caputo, Stefano; Mucchi, Lorenzo; Pasolini, Gianni
GUMBLE: Uncertainty-Aware Conditional Mobile Data Generation using Bayesian Learning
2024 Verdone, Roberto; Lombardi, Michele; Amorosa, Lorenzo Mario; Skocaj, Marco
Multi-Agent Reinforcement Learning for Power Control in Wireless Networks via Adaptive Graphs
2024 Amorosa, L. M.; Skocaj, M.; Verdone, R.; Gunduz, D.
An End-To-End Analysis of Deep Learning-Based Remaining Useful Life Algorithms for Satefy-Critical 5G-Enabled IIoT Networks
2023 Amorosa, Lorenzo Mario; Longhi, Nicolò; Cuozzo, Giampaolo; Bachan, Weronika Maria; Lieti, Valerio; Buracchini, Enrico; Verdone, Roberto
Multi-Agent Reinforcement Learning for Power Control in Wireless Networks via Adaptive Graphs
2023 Amorosa, LORENZO MARIO; Skocaj, Marco; Verdone, Roberto; Gündüz, Deniz
Cellular network capacity and coverage enhancement with MDT data and Deep Reinforcement Learning
2022 Marco Skocaj; Lorenzo M. Amorosa; Giorgio Ghinamo; Giuliano Muratore; Davide Micheli; Flavio Zabini; Roberto Verdone
| Titolo | Autore(i) | Anno | Periodico | Editore | Tipo | File |
|---|---|---|---|---|---|---|
| 5G Architectures Enabling Remaining Useful Life Estimation for Industrial IoT: A Holistic Study | Longhi, Nicolò; Amorosa, Lorenzo Mario; Cavallero, Sara; Buracchini, Enrico; Verdone, Roberto | 2025-01-01 | IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY | - | 1.01 Articolo in rivista | 5G_Architectures_Enabling_Remaining_Useful_Life_Estimation_for_Industrial_IoT_A_Holistic_Study.pdf |
| Decentralized GNN-based Power Allocation with Varying Network Density | Amorosa, L. M.; Gao, Z.; Chahoud, T.; Verdone, R.; Gunduz, D. | 2025-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | - |
| Distributed Beamforming with Incomplete Channel State Information in MISO Networks via GNNs | Amorosa, Lorenzo Mario; Chahoud, Tony; Gao, Zhan; Verdone, Roberto; Gündüz, Deniz | 2025-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Efficient Dynamic Beamforming Activation for UAV-Enabled Vehicular Networks | Spampinato, Leonardo; Amorosa, Lorenzo Mario; Skocaj, Marco; Vallero, Greta; Renga, Daniela; Bura...tti, Chiara | 2025-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Goal-Oriented Uplink Scheduling Requests in Wireless Networks via Graph Neural Networks | Amorosa, Lorenzo Mario; Spampinato, Leonardo; Buratti, Chiara; Verdone, Roberto | 2025-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | 2025_Goal-Oriented Uplink Scheduling Requests in Wireless Networks via Graph Neural Networks.pdf |
| On the Predictability of the Best V2X Path for Infrastructure-Assisted Automated Driving | Giovannini, Andrea; Campolo, Claudia; Todisco, Vittorio; Molinaro, Antonella; Amorosa, Lorenzo Ma...rio; Lei, Lu; Bazzi, Alessandro | 2025-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | - |
| Path Selection Based on Network Service Quality for Infrastructure-Assisted Automated Driving | Giovannini, A.; Campolo, C.; Todisco, V.; Molinaro, A.; Amorosa, L. M.; Lei, L.; Bazzi, A. | 2025-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | Path_prediction_JIC_V2X_conference.pdf |
| Robust Physical-Layer Key Generation Using UWB in Industrial IoT: A Measurement-Based Analysis | Amorosa, Lorenzo Mario; Caputo, Stefano; Mucchi, Lorenzo; Pasolini, Gianni | 2025-01-01 | JOURNAL OF SENSOR AND ACTUATOR NETWORKS | - | 1.01 Articolo in rivista | - |
| GUMBLE: Uncertainty-Aware Conditional Mobile Data Generation using Bayesian Learning | Verdone, Roberto; Lombardi, Michele; Amorosa, Lorenzo Mario; Skocaj, Marco | 2024-01-01 | IEEE TRANSACTIONS ON MOBILE COMPUTING | - | 1.01 Articolo in rivista | 2024_GUMBLE_Uncertainty_Aware_Conditional_Mobile_Data_Generation.pdf |
| Multi-Agent Reinforcement Learning for Power Control in Wireless Networks via Adaptive Graphs | Amorosa, L. M.; Skocaj, M.; Verdone, R.; Gunduz, D. | 2024-01-01 | - | Institute of Electrical and Electronics Engineers Inc. | 4.01 Contributo in Atti di convegno | - |
| An End-To-End Analysis of Deep Learning-Based Remaining Useful Life Algorithms for Satefy-Critical 5G-Enabled IIoT Networks | Amorosa, Lorenzo Mario; Longhi, Nicolò; Cuozzo, Giampaolo; Bachan, Weronika Maria; Lieti, Valerio...; Buracchini, Enrico; Verdone, Roberto | 2023-01-01 | - | IEEE | 4.01 Contributo in Atti di convegno | - |
| Multi-Agent Reinforcement Learning for Power Control in Wireless Networks via Adaptive Graphs | Amorosa, LORENZO MARIO; Skocaj, Marco; Verdone, Roberto; Gündüz, Deniz | 2023-01-01 | - | - | 4.01 Contributo in Atti di convegno | - |
| Cellular network capacity and coverage enhancement with MDT data and Deep Reinforcement Learning | Marco Skocaj; Lorenzo M. Amorosa; Giorgio Ghinamo; Giuliano Muratore; Davide Micheli; Flavio Zabi...ni; Roberto Verdone | 2022-01-01 | COMPUTER COMMUNICATIONS | - | 1.01 Articolo in rivista | cellular network post print.pdf |