Raoul Raftopoulos

According to our database, Raoul Raftopoulos authored at least 21 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., October, 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

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

A Distributed Multi-Armed Bandit Approach for Modulation Adaptation in Underwater Networks.

Fabio Busacca, Laura Galluccio, Sergio Palazzo, Andrea Panebianco, Raoul Raftopoulos

Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025

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

Proceedings of the IEEE International Conference on Communications, 2025

2024

An Adaptive Closed-Loop Encoding VNF for Virtual Reality Applications.

Andrea Caruso, Christian Grasso, Raoul Raftopoulos, Giovanni Schembra

Proceedings of the 10th IEEE International Conference on Network Softwarization, 2024

Design of Next Generation Ultrasonic-Based Healthcare Transmission Systems exploiting MAB.

Laura Galluccio, Alfio Lombardo, Raoul Raftopoulos, Carmelo Ricci, S. Rossitto

Proceedings of the 11th Annual ACM International Conference on Nanoscale Computing and Communication, 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

Proceedings of the IEEE INFOCOM 2024, 2024

DRL-Based Latency-Aware Network Slicing in O-RAN with Time-Varying SLAs.

Raoul Raftopoulos, Salvatore D'Oro, Tommaso Melodia, Giovanni Schembra

Proceedings of the International Conference on Computing, Networking and Communications, 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

Proceedings of the IEEE International Conference on Communications, 2024

Adaptive Modulation in Underwater Acoustic Networks (AMUSE): A Multi-Armed Bandit Approach.

Fabio Busacca, Laura Galluccio, Sergio Palazzo, Andrea Panebianco, Raoul Raftopoulos

Proceedings of the IEEE International Conference on Communications, 2024

IDLE: A Digital Twin Framework for 6G Network Intelligence.

Andrea Caruso, Christian Grasso, Raoul Raftopoulos, Giovanni Schembra

Proceedings of the 29th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2024

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

Proceedings of the 9th IEEE International Conference on Network Softwarization, 2023

OSCAR: A Contention Window Optimization Approach Using Deep Reinforcement Learning.

Christian Grasso, Raoul Raftopoulos, Giovanni Schembra

Proceedings of the IEEE International Conference on Communications, 2023

2022

Smart Zero-Touch Management of UAV-Based Edge Network.

Christian Grasso, Raoul Raftopoulos, Giovanni Schembra

IEEE Trans. Netw. Serv. Manag., December, 2022

Slicing a FANET for heterogeneous delay-constrained applications.

Christian Grasso, Raoul Raftopoulos, Giovanni Schembra

Comput. Commun., 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

Reinforcement Learning for Resource Planning in Drone-Based Softwarized Networks.

Laura Galluccio, Christian Grasso, Guido Maier, Raoul Raftopoulos, Marco Savi, Giovanni Schembra, Sebastian Troia

Proceedings of the 20th Mediterranean Communication and Computer Networking Conference, 2022

Tailoring FANET-Based 6G Network Slices in Remote Areas for Low-Latency Applications.

Christian Grasso, Raoul Raftopoulos, Giovanni Schembra

Proceedings of the 17th International Conference on Future Networks and Communications / 19th International Conference on Mobile Systems and Pervasive Computing / 12th International Conference on Sustainable Energy Information Technology (FNC/MobiSPC/SEIT 2022), 2022

2021

Deep Q-Learning for Job Offloading Orchestration in a Fleet of MEC UAVs in 5G Environments.

Christian Grasso, Raoul Raftopoulos, Giovanni Schembra

Proceedings of the 7th IEEE International Conference on Network Softwarization, 2021

2019

Measuring QoS and QoE for a Softwarized Video Surveillance System in a 5G Network.

Laura Galluccio, Christian Grasso, Michele Grasso, Raoul Raftopoulos, Giovanni Schembra

Proceedings of the 5th IEEE International Symposium on Measurements & Networking, 2019