An RL approach to radio resource management in heterogeneous virtual RANs
An RL approach to radio resource management in heterogeneous virtual RANs
A Context-aware Radio Resource Management in Heterogeneous Virtual RANs
A Holistic View of ITS-Enhanced Charging Markets
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
A Holistic View of ITS-Enhanced Charging Markets
Characterizing the Computational and Memory Requirements of Virtual RANs
An RL Approach to Radio Resource Management in Heterogeneous Virtual RANs