QoS Prediction for 5G Connected and Automated Driving

被引：32

作者：

Kousaridas, Apostolos ^{[1
]}

Manjunath, Ramya P. ^{[1
]}

Perdomo, Jose ^{[1
]}

Zhou, Chan ^{[1
]}

Zielinski, Ernst ^{[2
]}

Schmitz, Steffen ^{[2
]}

Pfadler, Andreas ^{[3
]}

机构：

[1] Huawei Technol Duesseldorf GmbH, Dusseldorf, Germany

[2] Volkswagen Infotainment GmbH, Univ Str, Bochum, Germany

[3] Volkswagen AG, Wolfsburg, Germany

来源：

IEEE COMMUNICATIONS MAGAZINE | 2021年 / 59卷 / 09期

关键词：

5G mobile communication; Quality of service; Vehicle-to-everything;

D O I：

10.1109/MCOM.110.2100042

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：58 / 64

页数：7