Teaching 6G Networks to Keep Self-Driving Cars Connected: AI Takes the Wheel

Because each slice can be designed with its own quality of service guarantees, network slicing has significantly enhanced the growth of vehicular networks.

Mobility management is the set of techniques that dynamically preserves these slice relationships and quality of service guarantees while users or devices move.

In advanced vehicular networks, the authors emphasize, network slicing and mobility management are two key components that must collaborate to ensure quality of service.

Enter deep reinforcement learning, a machine learning technique that combines deep neural networks with the trial-and-error logic of reinforcement learning.

Applying deep reinforcement learning to manage mobility in a sliced 6G vehicular network: a survey.