953 citations · 1.3k across the 13 of their papers we have counts for
10 papers · 1 filter
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…
White Paper on Radio Channel Modeling and Prediction to Support Future Environment-aware Wireless Communication Systems
Mate Boban, Vittorio Degli-Esposti
COST INTERACT working group (WG)1 aims at increasing the theoretical and experimental understanding of radio propagation and channels in environments of interest and at deriving mo…
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…
Predictive Quality of Service (PQoS): The Next Frontier for Fully Autonomous Systems
Mate Boban, Marco Giordani, Michele Zorzi
Recent advances in software, hardware, computing and control have fueled significant progress in the field of autonomous systems. Notably, autonomous machines should continuously e…
VRLS: A Unified Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications
Taylan Şahin, Ramin Khalili, Mate Boban +1
Vehicle-to-vehicle (V2V) communications have distinct challenges that need to be taken into account when scheduling the radio resources. Although centralized schedulers (e.g., loca…