Traffic-Aware Mobility Management Based on Decentralized Federated Deep Reinforcement Learning in Satellite-Terrestrial Vehicular Networks
Excessive traffic generated by in-vehicle applications can cause congestion or overflow in the transmit buffer queue of connected autonomous vehicles (CAVs), leading to high queuing delays and even service outage in satellite-terrestrial vehicular networks (STVN). Therefore, a decentralized federated deep reinforcement...