1 citations · 1 across the 8 of their papers we have counts for
10 papers
Artificial Intelligence in Vehicular Wireless Networks: A Case Study Using ns-3
Matteo Drago, Tommaso Zugno, Federico Mason +3
Artificial intelligence (AI) techniques have emerged as a powerful approach to make wireless networks more efficient and adaptable. In this paper we present an ns-3 simulation fram…
A Reinforcement Learning Framework for PQoS in a Teleoperated Driving Scenario
Federico Mason, Matteo Drago, Tommaso Zugno +3
In recent years, autonomous networks have been designed with Predictive Quality of Service (PQoS) in mind, as a means for applications operating in the industrial and/or automotive…
Temporal Characterization of XR Traffic with Application to Predictive Network Slicing
Mattia Lecci, Federico Chiariotti, Matteo Drago +2
Over the past few years, eXtended Reality (XR) has attracted increasing interest thanks to its extensive industrial and commercial applications, and its popularity is expected to r…
An Open Framework for Analyzing and Modeling XR Network Traffic
Mattia Lecci, Matteo Drago, Andrea Zanella +1
Thanks to recent advancements in the technology, eXtended Reality (XR) applications are gaining a lot of momentum, and they will surely become increasingly popular in the next deca…
A Simulation Framework for Contention-Free Scheduling on WiGig
Matteo Drago, Tommy Azzino, Mattia Lecci +2
The latest IEEE 802.11 amendments provide support to directional communications in the Millimeter Wave spectrum and, thanks to the wide bandwidth available at such frequencies, mak…
Exploiting Scheduled Access Features of mmWave WLANs for Periodic Traffic Sources
Mattia Lecci, Matteo Drago, Andrea Zanella +1
Many current and future multimedia and industrial applications, like video streaming, eXtended Reality or remote robot control, are characterized by periodic data transmissions wit…