Measuring QoS and QoE for a Softwarized Video Surveillance System in a 5G Network. - Laura Galluccio; Christian Grasso; Michele Grasso; Raoul Raftopoulos; Giovanni Schembra (M&N, 2019)

Deep Q-Learning for Job Offloading Orchestration in a Fleet of MEC UAVs in 5G Environments. - Christian Grasso; Raoul Raftopoulos; Giovanni Schembra (NetSoft, 2021)

Tailoring FANET-Based 6G Network Slices in Remote Areas for Low-Latency Applications. - Christian Grasso; Raoul Raftopoulos; Giovanni Schembra (FNC/MobiSPC/SEIT, 2022)

Reinforcement Learning for Resource Planning in Drone-Based Softwarized Networks. - Laura Galluccio; Christian Grasso; Guido Maier; Raoul Raftopoulos; Marco Savi; Giovanni Schembra; Sebastian Troia (MedComNet, 2022)

H-HOME: A learning framework of federated FANETs to provide edge computing to future delay-constrained IoT systems. - Christian Grasso; Raoul Raftopoulos; Giovanni Schembra; Salvatore Serrano (Comput. Networks, 2022)

Slicing a FANET for heterogeneous delay-constrained applications. - Christian Grasso; Raoul Raftopoulos; Giovanni Schembra (Comput. Commun., 2022)

Smart Zero-Touch Management of UAV-Based Edge Network. - Christian Grasso; Raoul Raftopoulos; Giovanni Schembra (IEEE Trans. Netw. Serv. Manag., 2022)

OSCAR: A Contention Window Optimization Approach Using Deep Reinforcement Learning. - Christian Grasso; Raoul Raftopoulos; Giovanni Schembra (ICC, 2023)

MANTRA: an Edge-Computing Framework based on Multi-Armed Bandit for Latency- and Energy-aware Job Offloading in Vehicular Networks. - Fabio Busacca; Sergio Palazzo; Raoul Raftopoulos; Giovanni Schembra (NetSoft, 2023)

IDLE: A Digital Twin Framework for 6G Network Intelligence. - Andrea Caruso; Christian Grasso; Raoul Raftopoulos; Giovanni Schembra (CAMAD, 2024)

Adaptive Modulation in Underwater Acoustic Networks (AMUSE): A Multi-Armed Bandit Approach. - Fabio Busacca; Laura Galluccio; Sergio Palazzo; Andrea Panebianco; Raoul Raftopoulos (ICC, 2024)

MARBLE: Multi-Player Multi-Armed Bandit for Lightweight and Efficient Job Offloading in UAV-Based Mobile Networks. - Fabio Busacca; Sergio Palazzo; Raoul Raftopoulos; Giovanni Schembra (ICC, 2024)

DRL-Based Latency-Aware Network Slicing in O-RAN with Time-Varying SLAs. - Raoul Raftopoulos; Salvatore D'Oro; Tommaso Melodia; Giovanni Schembra (ICNC, 2024)

MAD-FELLOWS: A Multi-Armed Bandit Framework for Energy-Efficient, Low-Latency Job Offloading in Robotic Networks. - Fabio Busacca; Sergio Palazzo; Raoul Raftopoulos; Giovanni Schembra (INFOCOM (Workshops), 2024)

Design of Next Generation Ultrasonic-Based Healthcare Transmission Systems exploiting MAB. - Laura Galluccio; Alfio Lombardo; Raoul Raftopoulos; Carmelo Ricci; S. Rossitto (NANOCOM, 2024)

An Adaptive Closed-Loop Encoding VNF for Virtual Reality Applications. - Andrea Caruso; Christian Grasso; Raoul Raftopoulos; Giovanni Schembra (NetSoft, 2024)

POSEIDON: A multi-armed bandit framework for Power and mOdulation SchEme adaptatIon in unDerwater acOustic Networks. - Fabio Busacca; Laura Galluccio; Sergio Palazzo; Andrea Panebianco; Raoul Raftopoulos (ICC Workshops, 2025)

A Distributed Multi-Armed Bandit Approach for Modulation Adaptation in Underwater Networks. - Fabio Busacca; Laura Galluccio; Sergio Palazzo; Andrea Panebianco; Raoul Raftopoulos (WCNC, 2025)

A deep reinforcement learning-based UAV-smallcell system for mobile terminals geolocalization in disaster scenarios. - Roberta Avanzato; Francesco Beritelli; Raoul Raftopoulos; Giovanni Schembra (Comput. Commun., 2025)

AMUSE: A Multi-Armed Bandit Framework for Energy-Efficient Modulation Adaptation in Underwater Acoustic Networks. - Fabio Busacca; Laura Galluccio; Sergio Palazzo; Andrea Panebianco; Raoul Raftopoulos (IEEE Open J. Commun. Soc., 2025)

MANTRA: A Distributed MAB-Based Multi-Agent Framework for Latency- and Energy-Aware Offloading in Vehicular Networks. - Fabio Busacca; Sergio Palazzo; Raoul Raftopoulos; Giovanni Schembra (IEEE Trans. Netw. Serv. Manag., 2025)