26 citations · 124 across the 31 of their papers we have counts for
31 papers
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…
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…
Movement- and Traffic-based User Identification in Commercial Virtual Reality Applications: Threats and Opportunities
Sara Baldoni, Salim Benhamadi, Federico Chiariotti +2
With the unprecedented diffusion of virtual reality, the number of application scenarios is continuously growing. As commercial and gaming applications become pervasive, the need f…
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…
Monitoring the Venice Lagoon: an IoT Cloud-Based Sensor Nerwork Approach
Filippo Campagnaro, Matin Ghalkhani, Riccardo Tumiati +6
Monitoring the coastal area of the Venice Lagoon is of significant importance. While the impact of global warming is felt worldwide, coastal and littoral regions bear the brunt mor…
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…
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…
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…
SeBaSi system-level Integrated Access and Backhaul simulator for self-backhauling
Amir Ashtari Gargari, Matteo Pagin, Andrea Ortiz +3
millimeter wave (mmWave) and sub-terahertz (THz) communications have the potential of increasing mobile network throughput drastically. However, the challenging propagation conditi…
Modeling Interference for the Coexistence of 6G Networks and Passive Sensing Systems
Paolo Testolina, Michele Polese, Josep M. Jornet +2
Future wireless networks and sensing systems will benefit from access to large chunks of spectrum above 100 GHz, to achieve terabit-per-second data rates in 6th Generation (6G) cel…
Implementation of a Channel Model for Non-Terrestrial Networks in ns-3
Mattia Sandri, Matteo Pagin, Marco Giordani +1
While the 5th generation (5G) of mobile networks has landed in the commercial area, the research community is exploring new functionalities for 6th generation (6G) networks, for ex…
ns-3 Implementation of Sub-Terahertz and Millimeter Wave Drop-based NYU Channel Model (NYUSIM)
Hitesh Poddar, Tomoki Yoshimura, Matteo Pagin +3
The next generation of wireless networks will use sub-THz frequencies alongside mmWave frequencies to enable multi-Gbps and low-latency applications. To enable different verticals…
Full-Stack End-To-End mmWave Simulations Using 3GPP and NYUSIM Channel Model in ns-3
H. Poddar, T. Yoshimura, M. Pagin +3
Accurate channel modeling and simulation tools are vital for studying sub-THz and millimeter (mmWave) wideband communication system performance. To accurately design future high da…
A New Scheduler for URLLC in 5G NR IIoT Networks with Spatio-Temporal Traffic Correlations
Sara Cavallero, Nicole Sarcone Grande, Francesco Pase +4
This paper explores the issue of enabling Ultra-Reliable Low-Latency Communications (URLLC) in view of the spatio-temporal correlations that characterize real 5th generation (5G) I…
Towards Decentralized Predictive Quality of Service in Next-Generation Vehicular Networks
Filippo Bragato, Tommaso Lotta, Gianmaria Ventura +4
To ensure safety in teleoperated driving scenarios, communication between vehicles and remote drivers must satisfy strict latency and reliability requirements. In this context, Pre…
On the Optimal Beamwidth of UAV-Assisted Networks Operating at Millimeter Waves
Manishika Rawat, Marco Giordani, Brejesh Lall +2
The millimeter-wave (mm-wave) bands enable very large antenna arrays that can generate narrow beams for beamforming and spatial multiplexing. However, directionality introduces bea…
Real-Time HAP-Assisted Vehicular Edge Computing for Rural Areas
Alessandro Traspadini, Marco Giordani, Giovanni Giambene +1
Non-Terrestrial Networks (NTNs) are expected to be a key component of 6th generation (6G) networks to support broadband seamless Internet connectivity and expand the coverage even…
Semantic and Effective Communication for Remote Control Tasks with Dynamic Feature Compression
Pietro Talli, Francesco Pase, Federico Chiariotti +2
The coordination of robotic swarms and the remote wireless control of industrial systems are among the major use cases for 5G and beyond systems: in these cases, the massive amount…