QoS Prediction for 5G Connected and Automated Driving

Abstract

A 5G communication system can support the demanding quality of service (QoS) requirements of many advanced vehicle-to-everything (V2X) use cases. However, safe and efficient driving, especially of automated vehicles, may be affected by sudden changes of the provided QoS. For that reason, the prediction of QoS changes and early notification of these predicted changes to vehicles recently have been enabled by 5G communication systems. This solution enables the vehicles to avoid or mitigate the effect of sudden QoS changes at the application level. This article describes how QoS prediction could be generated by a 5G communication system and delivered to a V2X application. The tele-operated driving use case is used as an example to analyze the feasibility of a QoS prediction scheme. Useful recommendations for the development of a QoS prediction solution are provided, while open research topics are identified.