远程遥控驾驶场景下基于网络信息开放的QoS预测

贾宇航; 雷艺学; 张翼鹏; 张云飞

doi:10.11959/j.issn.1000-0801.2023011

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远程遥控驾驶场景下基于网络信息开放的QoS预测

工程与应用 | 更新时间：2024-06-05

- 远程遥控驾驶场景下基于网络信息开放的QoS预测
- Network information exposure based QoS prediction in tele-operated driving
- 电信科学 2023年39卷第3期页码：153-161
- 作者机构：
  
  1. 腾讯云计算（北京）有限责任公司，北京 100191
  2. 腾讯科技（深圳）有限公司，广东深圳 518000
- 作者简介：
  
  [ "贾宇航（1997- ），男，腾讯科技（深圳）有限公司、腾讯云计算（北京）有限责任公司未来网络实验室研究员，主要研究方向为5G 网络、XR、云游戏、网络信息开放及其在智慧交通和云化多媒体领域的应用等" ]
  [ "雷艺学（1978- ），男，博士，腾讯科技（深圳）有限公司、腾讯云计算（北京）有限责任公司未来网络实验室专家研究员，主要研究方向为 5G/6G 网络演进及实时数字孪生、云游戏与XR技术、网络信息开放与跨层优化、V2X智能网联技术及应用等" ]
  [ "张翼鹏（1989- ），男，腾讯科技（深圳）有限公司、腾讯腾讯云计算（北京）有限责任公司未来网络实验室研究员，主要研究方向为智慧交通、车联网技术与标准研究" ]
  [ "张云飞（1977- ），男，腾讯科技（深圳）有限公司、腾讯云计算（北京）有限责任公司未来网络实验室主任，腾讯智慧交通首席科学家，国家高层次人才特殊支持计划特聘专家，北京交通大学、上海交通大学兼职教授，5GAIA 副理事长，主要研究方向为 5G网络、云计算、分布式系统、流媒体、车联网和移动终端等" ]
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2023011
  中图分类号：
- 网络出版日期：2023-03，
  
  纸质出版日期：2023-03-20
- 稿件说明：
移动端阅览
贾宇航, 雷艺学, 张翼鹏, 等. 远程遥控驾驶场景下基于网络信息开放的QoS预测[J]. 电信科学, 2023,39(3):153-161.

Yuhang JIA, Yixue LEI, Yipeng ZHANG, et al. Network information exposure based QoS prediction in tele-operated driving[J]. Telecommunications science, 2023, 39(3): 153-161.
贾宇航, 雷艺学, 张翼鹏, 等. 远程遥控驾驶场景下基于网络信息开放的QoS预测[J]. 电信科学, 2023,39(3):153-161. DOI： 10.11959/j.issn.1000-0801.2023011.

Yuhang JIA, Yixue LEI, Yipeng ZHANG, et al. Network information exposure based QoS prediction in tele-operated driving[J]. Telecommunications science, 2023, 39(3): 153-161. DOI： 10.11959/j.issn.1000-0801.2023011.

摘要

5G系统的飞速发展支持许多车联网用例对服务质量（quality of service，QoS）的苛刻要求。但网络和应用的适配仍然存在很多问题。网络信息开放是一种潜在的解决方案，旨在实现网络向应用程序实时提供蜂窝无线网络信息，从而帮助服务提供方实现更好的策略控制并改善用户体验。提出一种基于网络信息开放的服务质量预测（predictive QoS，PQoS）方法，通过提前预测即将发生的网络变化来支持应用做出提前响应，提高用户的体验质量（quality of experience，QoE）。介绍了网络信息开放及PQoS的背景，并介绍了PQoS的国内外研究、标准及落地现状；提出一种远程遥控驾驶（tele-operated driving，ToD）场景下基于网络信息开放的QoS预测方法；对实际测试的数据进行分析，评估验证了PQoS的可行性。结果表明，基于网络信息开放的QoS预测技术能够良好地支持包括5G ToD在内的车联网应用，为5G系统在智慧交通行业的落地提供了参考。

Abstract

The rapid development of 5G systems supports the stringent quality of service (QoS) requirements for many Internet of vehicles (IoV) use cases.However

there are still many problems in the adaptation of networks and applications.Network information exposure is a potential solution that also enables the network to provide real-time cellular wireless network information to applications

thereby helping service providers achieve better policy control and achieve an experience for users.A predictive QoS (PQoS) method based on network information exposure was proposed.Applications could respond in advance and improve users’ quality of experience (QoE) by predicting upcoming network changes.Firstly

the background of network information exposure and PQoS was introduced

and the research

standards

and implementation status of PQoS both at home and abroad were introduced.Then

a QoS prediction method based on network information exposure in tele-operated driving (ToD) was proposed

and experiments were carried out through actual test data and the feasibility of PQoS was verified through the evaluation and analysis.The results show that the QoS prediction based on the network information exposure can well support the application of some IoV

including 5G remote driving

which provides a reference for implementing the 5G system in the smart transportation industry.

关键词

Keywords

references

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