A KPI-Based Self-Optimization Algorithm for Inter-Frequency Handover in 4G/5G Networks. - Marco Skocaj; Andrea Orsi; Federico Franchini; Roberto Verdone (EuCNC/6G Summit, 2021)

Cellular Network Capacity and Coverage Enhancement with MDT Data and Deep Reinforcement Learning. - Marco Skocaj; Lorenzo Mario Amorosa; Giorgio Ghinamo; Giuliano Muratore; Davide Micheli; Flavio Zabini; Roberto Verdone (Comput. Commun., 2022)

Uplink Scheduling in Federated Learning: An Importance-Aware Approach via Graph Representation Learning. - Marco Skocaj; Pedro Enrique Iturria-Rivera; Roberto Verdone; Melike Erol-Kantarci (ICC Workshops, 2023)

Data-driven Predictive Latency for 5G: A Theoretical and Experimental Analysis Using Network Measurements. - Marco Skocaj; Francesca Conserva; Nicole Sarcone Grande; Andrea Orsi; Davide Micheli; Giorgio Ghinamo; Simone Bizzarri; Roberto Verdone (PIMRC, 2023)

Multi-Band Measurements for Deep Learning-Based Dynamic Channel Prediction and Simulation. - Faruk Pasic; Nicola Di Cicco; Marco Skocaj; Massimo Tornatore; Stefan Schwarz; Christoph F. Mecklenbräuker; Vittorio Oegli-Esposti (IEEE Commun. Mag., 2023)

Vehicle-to-Everything (V2X) Datasets for Machine Learning-Based Predictive Quality of Service. - Marco Skocaj; Nicola Di Cicco; Tommaso Zugno; Mate Boban; Jiri Blumenstein; Ales Prokes; Tomas Mikulasek; Josef Vychodil; Konstantin Mikhaylov; Massimo Tornatore; Vittorio Degli-Esposti (IEEE Commun. Mag., 2023)

Line of Sight Blockage Prediction via Spatio-Temporal Graph Neural Networks. - Marco Skocaj; Tommaso Zugno; Jiri Blumenstein; Mate Boban (GLOBECOM (Workshops), 2024)

Multi-Agent Reinforcement Learning for Power Control in Wireless Networks via Adaptive Graphs. - Lorenzo Mario Amorosa; Marco Skocaj; Roberto Verdone; Deniz Gündüz (ICC, 2024)

GUMBLE: Uncertainty-Aware Conditional Mobile Data Generation Using Bayesian Learning. - Marco Skocaj; Lorenzo Mario Amorosa; Michele Lombardi 001; Roberto Verdone (IEEE Trans. Mob. Comput., 2024)

Enhancing Convolutional Models for Indoor Radio Mapping via Ray Marching. - Mengfan Wu; Marco Skocaj; Mate Boban (ICASSP, 2025)