2 papers
cs.NI2026
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…
cs.NI2025
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…