687 citations · 2.9k across the 78 of their papers we have counts for
9 papers · 1 filter
Bridging Earth and Space: A Survey on HAPS for Non-Terrestrial Networks
G. Svistunov, A. Akhtarshenas, D. López-Pérez +3
HAPS are emerging as key enablers in the evolution of 6G wireless networks, bridging terrestrial and non-terrestrial infrastructures. Operating in the stratosphere, HAPS can provid…
Network-Aware Control of AGVs in an Industrial Scenario: A Simulation Study Based on ROS 2 and Gazebo
Filippo Bragato, Tullia Fontana, Marco Giordani +3
Networked Control System (NCS) is a paradigm where sensors, controllers, and actuators communicate over a shared network. One promising application of NCS is the control of Automat…
Performance Evaluation of LoRa for IoT Applications in Non-Terrestrial Networks via ns-3
Alessandro Traspadini, Michele Zorzi, Marco Giordani
The integration of Internet of Things (IoT) and Non-Terrestrial Networks (NTNs) has emerged as a key paradigm to provide connectivity for sensors and actuators via satellite gatewa…
PRATA: A Framework to Enable Predictive QoS in Vehicular Networks via Artificial Intelligence
Federico Mason, Tommaso Zugno, Matteo Drago +3
Predictive Quality of Service (PQoS) makes it possible to anticipate QoS changes, e.g., in wireless networks, and trigger appropriate countermeasures to avoid performance degradati…
Teleoperated Driving: a New Challenge for 3D Object Detection in Compressed Point Clouds
Filippo Bragato, Michael Neri, Paolo Testolina +2
In recent years, the development of interconnected devices has expanded in many fields, from infotainment to education and industrial applications. This trend has been accelerated…
Multi-Agent Reinforcement Learning Scheduling to Support Low Latency in Teleoperated Driving
Giacomo Avanzi, Marco Giordani, Michele Zorzi
The teleoperated driving (TD) scenario comes with stringent Quality of Service (QoS) communication constraints, especially in terms of end-to-end (E2E) latency and reliability. In…
Statistical Analysis and End-to-End Performance Evaluation of Traffic Models for Automotive Data
Marcello Bullo, Amir Ashtari Gargari, Paolo Testolina +2
Autonomous driving is a major paradigm shift in transportation, with the potential to enhance safety, optimize traffic congestion, and reduce fuel consumption. Although autonomous…
Sensing-Based Beamformed Resource Allocation in Standalone Millimeter-Wave Vehicular Networks
Alessandro Traspadini, Anay Ajit Deshpande, Marco Giordani +3
In 3GPP New Radio (NR) Vehicle-to-Everything (V2X), the new standard for next-generation vehicular networks, vehicles can autonomously select sidelink resources for data transmissi…
Performance Evaluation of Satellite-Based Data Offloading on Starlink Constellations
Alexander Bonora, Alessandro Traspadini, Marco Giordani +1
Vehicular Edge Computing (VEC) is a key research area in autonomous driving. As Intelligent Transportation Systems (ITSs) continue to expand, ground vehicles (GVs) face the challen…