A Remote Driving Path Planning Scheme Based on 5G QoS Prediction
作者单位：School of Electrical and Control Engineering North China University of Technology
会议名称：《第35届中国过程控制会议》
会议日期：1000年
学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 0838[工学-公安技术] 081001[工学-通信与信息系统]
关 键 词：5G V2X QoS prediction Traffic path planning
摘 要：Vehicle-to-everything(V2X) services are now a reality due to the rapid development of 5G networks and autonomous driving technologies. Compared to the consumer internet, the V2X often faces tough network performance requirements,including metrics such as throughput and end-to-end delay. Therefore, predicting the Quality of service(QoS) of V2X for vehicle users in a timely manner and responding quickly is crucial. Although QoS prediction techniques are mature, their application in remote driving use cases is still being explored. This paper proposes a path planning scheme for remote driving under 5G network coverage. The scheme combines path planning algorithms and QoS prediction techniques to select the most suitable traffic path for the current situation. The study evaluates the scheme based on 3GPP standard scenarios and demonstrates its feasibility and practicality. The evaluation results indicate that the scheme is able to accurately predict predefined QoS metrics and based on these metrics select the optimal traffic path for the vehicle s current situation.