953 citations · 1.7k across the 21 of their papers we have counts for
22 papers
A Perception vs. Distortion Perspective on Score-Based Generative Channel Estimation
Marco Skocaj, Lukas Eller, Mate Boban
Driven by their remarkable success in computer vision and inverse problem solving, score-based models are increasingly applied to wireless communications, where they show promise a…
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…
Use Cases for Terahertz Communications: An Industrial Perspective
Tommaso Zugno, Cristina Ciochina, Sharad Sambhwani +6
Thanks to the vast amount of available resources and unique propagation properties, terahertz (THz) frequency bands are viewed as a key enabler for achieving ultrahigh communicatio…
COST CA20120 INTERACT Framework of Artificial Intelligence Based Channel Modeling
Ruisi He, Nicola D. Cicco, Bo Ai +3
Accurate channel models are the prerequisite for communication-theoretic investigations as well as system design. Channel modeling generally relies on statistical and deterministic…
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…
Scheduling Out-of-Coverage Vehicular Communications Using Reinforcement Learning
Taylan Şahin, Ramin Khalili, Mate Boban +1
Performance of vehicle-to-vehicle (V2V) communications depends highly on the employed scheduling approach. While centralized network schedulers offer high V2V communication reliabi…