Network information exposure based QoS prediction in tele-operated driving

Yuhang JIA; Yixue LEI; Yipeng ZHANG; Yunfei ZHANG

doi:10.11959/j.issn.1000-0801.2023011

您当前的位置：

首页 >

文章列表页 >

Network information exposure based QoS prediction in tele-operated driving

Engineering and Application | 更新时间：2024-06-05

- Network information exposure based QoS prediction in tele-operated driving
- Telecommunications Science Vol. 39, Issue 3, Pages: 153-161(2023)
- 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：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2023011
  CLC：
- Published Online：2023-03，
  
  Published：20 March 2023
- 稿件说明：
移动端阅览
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：

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

3GPP . New WID:5G system enhancement for advanced interactive services [EB ] . 2021 .

3GPP . System architecture for the 5G system (5GS) [EB ] . 2021 .

XIE Y X , FAN Y , KYLE J . PBE-CC:congestion control via endpoint-centric,physical-layer bandwidth measurements [C ] // Proceedings of the Annual Conference of the ACM Special Interest Group on Data Communication on the Applications,Technologies,Architectures,and Protocols for Computer Communication . New York:ACM Press , 2020 .

JIA Y H , ZHANG Y F , YANG R , et al . MoWIE for network aware application [S ] . 2020 .

ZHANG Y F , LI G , XIONG C S , et al . MoWIE:toward systematic,adaptive network information exposure as an enabling technique for cloud-based applications over 5G and beyond [C ] // Proceedings of the Workshop on Network Application Integration/CoDesign . New York:ACM Press , 2020 : 20 - 27 .

5GAA . Making 5G proactive and predictive for the automotive industry [S ] . 2019 .

BARMPOUNAKIS S , MAGOULA L , KOURSIOUMPAS N , et al . LSTM-based QoS prediction for 5G-enabled connected and automated mobility applications [C ] // Proceedings of 2021 IEEE 4th 5G World Forum (5GWF) . Piscataway:IEEE Press , 2021 : 436 - 440 .

KOUSARIDAS A , MANJUNATH R P , PERDOMO J , et al . QoS prediction for 5G connected and automated driving [J ] . IEEE Communications Magazine , 2021 , 59 ( 9 ): 58 - 64 .

GUTIERREZ-ESTEVEZ M A , UTKOVSKI Z , KOUSARIDAS A , et al . A statistical learning framework for QoS prediction in V2X [C ] // Proceedings of 2021 IEEE 4th 5G World Forum (5GWF) . Piscataway:IEEE Press , 2021 : 441 - 446 .

PERDOMO J , KOUSARIDAS A , ZHOU C , et al . Deep learning-based QoS prediction with innate knowledge of the radio access network [C ] // Proceedings of 2021 IEEE Global Communications Conference (GLOBECOM) . Piscataway:IEEE Press , 2021 : 1 - 6 .

MASON F , DRAGO M , ZUGNO T , et al . A reinforcement learning framework for PQoS in a teleoperated driving scenario [C ] // Proceedings of 2022 IEEE Wireless Communications and Networking Conference (WCNC) . Piscataway:IEEE Press , 2022 : 114 - 119 .

BOBAN M , GIORDANI M , ZORZI M . Predictive quality of service (PQoS):the next frontier for fully autonomous systems [J ] . arXiv preprint , 2021 ,arXiv:2109.09376.

SCHIPPERS H , SCHULER C , SLIWA B , et al . System modeling and performance evaluation of predictive QoS for future tele-operated driving [J ] . arXiv preprint , 2022 ,arXiv:2201.11432.

PALAIOS A , VIELHAUS C , KÜLZER D F , et al . Effect of spatial,temporal and network features on uplink and downlink throughput prediction [C ] // Proceedings of 2021 IEEE 4th 5G World Forum (5GWF) . Piscataway:IEEE Press , 2021 : 418 - 423 .

PALAIOS A , GEUER P , FINK J , et al . Network under control:multi-vehicle E2E measurements for AI-based QoS prediction [C ] // Proceedings of 2021 IEEE 32nd Annual International Symposium on Personal,Indoor and Mobile Radio Communications (PIMRC) . Piscataway:IEEE Press , 2021 : 1432 - 1438 .

KÜLZER D F , DEBBICHI F , STAŃCZAK S , et al . On latency prediction with deep learning and passive probing at high mobility [C ] // Proceedings of 2021 IEEE International Conference on Communications . Piscataway:IEEE Press , 2021 : 1 - 7 .

LOSSI L , ALEMANY P , HIDALGO J F , et al . 5GCroCo barcelona trial site results:orchestration KPI measurements and evaluation [C ] // Proceedings of 2022 Joint European Conference on Networks and Communications ＆ 6G Summit (EuCNC/6G Summit) . Piscataway:IEEE Press , 2022 : 387 - 392 .

HETZER D , MUEHLEISEN M , KOUSARIDAS A , et al . 5G connected and automated driving:use cases and technologies in cross-border environments [C ] // Proceedings of 2019 EuropeanConference on Networks and Communications (EuCNC) . Piscataway:IEEE Press , 2019 : 78 - 82 .

KÜLZER D F , KASPARICK M , PALAIOS A , et al . AI4Mobile:use cases and challenges of AI-based QoS prediction for high-mobility scenarios [C ] // Proceedings of IEEE Vehicular Technology Conference (VTC Spring) . Piscataway:IEEE Press , 2021 .

Views

784

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Researcb on a Unicast-Based IPTV Cbannel Cbange Solution

Related Author

Yi Weng

Liang Yao

Xi Xi

Related Institution

No data

⁰