687 citations · 2.9k across the 78 of their papers we have counts for
83 papers
End-to-End Simulation of 5G NR Integrated Access and Backhaul Networks for Remote Maritime Connectivity
Alessandro Traspadini, Matteo Pagin, Raphaël Ihamouine +4
Millimeter wave (mmWave) 5th generation (5G) networks offer high data rates but face coverage challenges due to severe path loss and blockage. These problems motivate the use of In…
Toward EU Sovereignty in Space: A Comparative Simulation Study of IRIS 2 and Starlink
Alexander Bonora, Marco Giordani, Michele Zorzi
The evolution of 6th generation (6G) networks increasingly relies on satellite-based Non-Terrestrial Networks (NTNs) to extend broadband connectivity to remote and unserved regions…
A Joint Reinforcement Learning Scheduling and Compression Framework for Teleoperated Driving
Giacomo Avanzi, Marco Giordani, Michele Zorzi
Teleoperated driving (TD) is envisioned as a key application of future sixth generation (6G) networks. In this paradigm, connected vehicles transmit sensor-perception data to a rem…
Digital Twin-Based Beamforming for Interference Mitigation in AF Relay MIMO Systems
Alexander Bonora, Anna V. Guglielmi, Davide Scazzoli +4
Beamforming in multiple-input multiple-output (MIMO) systems should take interference mitigation into account. However, for beamform design, accurate channel state information (CSI…
5G NR Non-Terrestrial Networks: Open Challenges for Full-Stack Protocol Design
Francesco Rossato, Mattia Figaro, Alessandro Traspadini +7
As 5th generation (5G) networks continue to evolve, there is a growing interest toward the integration of Terrestrial Networks (TNs) and Non-Terrestrial Networks (NTNs). Specifical…
5G NR Non-Terrestrial Networks: From Early Results to the Road Ahead
Mattia Figaro, Francesco Rossato, Marco Giordani +7
This paper overviews the 3GPP 5G NR-NTN standard, detailing the evolution from Rel. 18 to 19 and innovations for Rel. 20. Using realistic ns-3 simulations validated against 3GPP ca…
Experimental Evaluation of a UAV-Mounted LEO Satellite Backhaul for Emergency Connectivity
Mattia Figaro, Francesco Rossato, Alexander Bonora +3
Reliable connectivity is critical for Public Protection and Disaster Relief operations, especially in rural or compromised environments where terrestrial infrastructure is unavaila…
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…
Performance Evaluation of IoT LoRa Networks on Mars Through ns-3 Simulations
Manuele Favero, Alessandro Canova, Marco Giordani +1
In recent years, there has been a significant surge of interest in Mars exploration, driven by the planet's potential for human settlement and its proximity to Earth. In this paper…
Enhanced Time Division Duplexing Slot Allocation and Scheduling in Non-Terrestrial Networks
Alessandro Traspadini, Marco Giordani, Michele Zorzi
The integration of non-terrestrial networks (NTNs) and terrestrial networks (TNs) is fundamental for extending connectivity to rural and underserved areas that lack coverage from t…
Federated Reinforcement Learning to Optimize Teleoperated Driving Networks
Filippo Bragato, Marco Giordani, Michele Zorzi
Several sixth generation (6G) use cases have tight requirements in terms of reliability and latency, in particular teleoperated driving (TD). To address those requirements, Predict…
Optimizing Energy Efficiency of 5G RedCap Beam Management for Smart Agriculture Applications
Manishika Rawat, Matteo Pagin, Marco Giordani +3
Beam management in 5G NR involves the transmission and reception of control signals such as Synchronization Signal Blocks (SSBs), crucial for tasks like initial access and/or chann…
A Distributed Neural Linear Thompson Sampling Framework to Achieve URLLC in Industrial IoT
Francesco Pase, Marco Giordani, Sara Cavallero +4
Industrial Internet of Things (IIoT) networks will provide Ultra-Reliable Low-Latency Communication (URLLC) to support critical processes underlying the production chains. However,…
On the Energy Consumption of UAV Edge Computing in Non-Terrestrial Networks
Alessandro Traspadini, Marco Giordani, Giovanni Giambene +2
During the last few years, the use of Unmanned Aerial Vehicles (UAVs) equipped with sensors and cameras has emerged as a cutting-edge technology to provide services such as surveil…
Preliminary Performance Evaluation of a Satellite-to-HAP Communication Link
Giovanni Grieco, Giovanni Iacovelli, Mattia Sandri +3
The emergence of Fifth-Generation (5G) communication networks has brought forth unprecedented connectivity with ultra-low latency, high data rates, and pervasive coverage. However,…
Minimizing Energy Consumption for 5G NR Beam Management for RedCap Devices
Manishika Rawat, Matteo Pagin, Marco Giordani +3
In 5G New Radio (NR), beam management entails periodic and continuous transmission and reception of control signals in the form of synchronization signal blocks (SSBs), used to per…