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QoS Prediction for 5G Connected and Automated Driving
IEEE Communications Magazine ( IF 8.3 ) Pub Date : 2021-10-11 , DOI: 10.1109/mcom.110.2100042
Apostolos Kousaridas , Ramya P. Manjunath , Jose Perdomo , Chan Zhou , Ernst Zielinski , Steffen Schmitz , Andreas Pfadler

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.

中文翻译:


5G网联和自动驾驶的QoS预测



5G 通信系统可以支持许多先进的车联网 (V2X) 使用案例苛刻的服务质量 (QoS) 要求。然而,安全高效的驾驶,尤其是自动驾驶车辆,可能会受到所提供的服务质量突然变化的影响。因此,5G 通信系统最近已经实现了 QoS 变化的预测以及对车辆这些预测变化的早期通知。该解决方案使车辆能够避免或减轻应用程序级别突然发生的 QoS 变化的影响。本文介绍了 5G 通信系统如何生成 QoS 预测并将其交付给 V2X 应用程序。以远程操作驾驶用例为例来分析 QoS 预测方案的可行性。提供了开发 QoS 预测解决方案的有用建议,同时确定了开放的研究主题。
更新日期:2021-10-11
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