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Marco Skocaj
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2020 – today
- 2024
- [j4]Marco Skocaj
, Lorenzo Mario Amorosa
GUMBLE: Uncertainty-Aware Conditional Mobile Data Generation Using Bayesian Learning. IEEE Trans. Mob. Comput. 23(12): 13158-13171 (2024) - [c4]Lorenzo Mario Amorosa, Marco Skocaj, Roberto Verdone, Deniz Gündüz:
Multi-Agent Reinforcement Learning for Power Control in Wireless Networks via Adaptive Graphs. ICC 2024: 2968-2973 - 2023
- [j3]Faruk Pasic, Nicola Di Cicco, Marco Skocaj, Massimo Tornatore, Stefan Schwarz, Christoph F. Mecklenbräuker, Vittorio Oegli-Esposti:
Multi-Band Measurements for Deep Learning-Based Dynamic Channel Prediction and Simulation. IEEE Commun. Mag. 61(9): 98-104 (2023) - [j2]Marco Skocaj, Nicola Di Cicco, Tommaso Zugno, Mate Boban, Jiri Blumenstein, Ales Prokes, Tomas Mikulasek, Josef Vychodil, Konstantin Mikhaylov, Massimo Tornatore, Vittorio Degli-Esposti:
Vehicle-to-Everything (V2X) Datasets for Machine Learning-Based Predictive Quality of Service. IEEE Commun. Mag. 61(9): 106-112 (2023) - [c3]Marco Skocaj, Pedro Enrique Iturria-Rivera, Roberto Verdone, Melike Erol-Kantarci:
Uplink Scheduling in Federated Learning: An Importance-Aware Approach via Graph Representation Learning. ICC Workshops 2023: 1014-1019 - [c2]Marco Skocaj, Francesca Conserva, Nicole Sarcone Grande, Andrea Orsi, Davide Micheli, Giorgio Ghinamo, Simone Bizzarri
Data-driven Predictive Latency for 5G: A Theoretical and Experimental Analysis Using Network Measurements. PIMRC 2023: 1-6 - [i4]Marco Skocaj, Pedro Enrique Iturria-Rivera, Roberto Verdone, Melike Erol-Kantarci:
Uplink Scheduling in Federated Learning: an Importance-Aware Approach via Graph Representation Learning. CoRR abs/2301.11903 (2023) - [i3]Marco Skocaj, Francesca Conserva, Nicole Sarcone Grande, Andrea Orsi, Davide Micheli, Giorgio Ghinamo, Simone Bizzarri
Data-driven Predictive Latency for 5G: A Theoretical and Experimental Analysis Using Network Measurements. CoRR abs/2307.02329 (2023) - [i2]Lorenzo Mario Amorosa, Marco Skocaj, Roberto Verdone, Deniz Gündüz:
Multi-Agent Reinforcement Learning for Power Control in Wireless Networks via Adaptive Graphs. CoRR abs/2311.15858 (2023) - 2022
- [j1]Marco Skocaj
Cellular Network Capacity and Coverage Enhancement with MDT Data and Deep Reinforcement Learning. Comput. Commun. 195: 403-415 (2022) - [i1]Marco Skocaj, Lorenzo Mario Amorosa, Giorgio Ghinamo, Giuliano Muratore, Davide Micheli, Flavio Zabini, Roberto Verdone:
Cellular Network Capacity and Coverage Enhancement with MDT Data and Deep Reinforcement Learning. CoRR abs/2202.10968 (2022) - 2021
- [c1]Marco Skocaj
A KPI-Based Self-Optimization Algorithm for Inter-Frequency Handover in 4G/5G Networks. EuCNC/6G Summit 2021: 217-222
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