An RL approach to radio resource management in heterogeneous virtual RANs
An RL approach to radio resource management in heterogeneous virtual RANs
A Holistic View of ITS-Enhanced Charging Markets
A Holistic View of ITS-Enhanced Charging Markets
A Context-aware Radio Resource Management in Heterogeneous Virtual RANs
An ML-Aided Reinforcement Learning Approach for Challenging Vehicle Maneuvers
An ML-aided Reinforcement Learning Approach for Challenging Vehicle Maneuvers
Edge-Based Collision Avoidance for Vehicles and Vulnerable Users: An Architecture Based on MEC
Characterizing the Computational and Memory Requirements of Virtual RANs
An RL Approach to Radio Resource Management in Heterogeneous Virtual RANs
An Edge-powered Approach to Assisted Driving
Edge-powered Assisted Driving For Connected Cars
Mmwave Beam Management in Urban Vehicular Networks
A Deep Reinforcement Learning Approach for Efficient, Safe and Comfortable Driving
Edge Learning of Vehicular Trajectories at Regulated Intersections
A MEC-based Extended Virtual Sensing for Automotive Services
V-Edge: Virtual Edge Computing as an Enabler for Novel Microservices and Cooperative Computing
A hierarchical AI-based control plane solution for multi-technology deterministic networks