Marco Skocaj

18 papers B 2Misc 1Journal 10Unranked 5
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
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 Misc conf
Enhancing Convolutional Models for Indoor Radio Mapping via Ray Marching.
ICASSP
Mengfan Wu, Marco Skocaj, Mate Boban
2025 — conf
Radio Map Prediction via Neural Networks with Ground Truth Shortcuts and Selective Sampling.
MLSP
Mengfan Wu, Marco Skocaj, Mate Boban
2025 J jnl
Safe Online Mobile Network Optimization Through Digital Twin-Enhanced Monte Carlo Tree Search.
IEEE Trans. Cogn. Commun. Netw.
Lukas Eller, Marco Skocaj, Philipp Svoboda, Markus Rupp, Roberto Verdone
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
Line of Sight Blockage Prediction via Spatio-Temporal Graph Neural Networks.
GLOBECOM (Workshops)
Marco Skocaj, Tommaso Zugno, Jiri Blumenstein, Mate Boban
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
Data-driven Predictive Latency for 5G: A Theoretical and Experimental Analysis Using Network Measurements.
PIMRC
Marco Skocaj, Francesca Conserva, Nicole Sarcone Grande, Andrea Orsi, Davide Micheli, Giorgio Ghinamo, Simone Bizzarri, Roberto Verdone
2023 J jnl
Data-driven Predictive Latency for 5G: A Theoretical and Experimental Analysis Using Network Measurements.
CoRR
Marco Skocaj, Francesca Conserva, Nicole Sarcone Grande, Andrea Orsi, Davide Micheli, Giorgio Ghinamo, Simone Bizzarri, 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
2023 J jnl
Multi-Band Measurements for Deep Learning-Based Dynamic Channel Prediction and Simulation.
IEEE Commun. Mag.
Faruk Pasic, Nicola Di Cicco, Marco Skocaj, Massimo Tornatore, Stefan Schwarz, Christoph F. Mecklenbräuker, Vittorio Oegli-Esposti
2023 — conf
Uplink Scheduling in Federated Learning: An Importance-Aware Approach via Graph Representation Learning.
ICC Workshops
Marco Skocaj, Pedro Enrique Iturria-Rivera, Roberto Verdone, Melike Erol-Kantarci
2023 J jnl
Uplink Scheduling in Federated Learning: an Importance-Aware Approach via Graph Representation Learning.
CoRR
Marco Skocaj, Pedro Enrique Iturria-Rivera, Roberto Verdone, Melike Erol-Kantarci
2023 J jnl
Vehicle-to-Everything (V2X) Datasets for Machine Learning-Based Predictive Quality of Service.
IEEE Commun. Mag.
Marco Skocaj, Nicola Di Cicco, Tommaso Zugno, Mate Boban, Jiri Blumenstein, Ales Prokes, Tomas Mikulasek, Josef Vychodil, Konstantin Mikhaylov, Massimo Tornatore, Vittorio Degli-Esposti
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
2021 — conf
A KPI-Based Self-Optimization Algorithm for Inter-Frequency Handover in 4G/5G Networks.
EuCNC/6G Summit
Marco Skocaj, Andrea Orsi, Federico Franchini, Roberto Verdone