Abdullah S. Almansouri

Digital twin enabled federated reinforcement learning for energy efficient spectrum allocation in heterogeneous vehicular networks

Digital Twin-Based Low-Energy Reinforcement Learning for Multi-Cell IoV (DT-LERL) distributed collaborative training architecture in cellular-based IoV scenarios is designed, which allows the twin to replace the end-side vehicular entities by introducing digital twins to carry out scenario interactions and model training.