基于无线信道信息的5G与TSN联合调度机制研究

doi:10.11959/j.issn.1000-436x.2021224

通信学报 ›› 2021, Vol. 42 ›› Issue (12): 65-75.doi: 10.11959/j.issn.1000-436x.2021224

基于无线信道信息的5G与TSN联合调度机制研究

孙雷¹, 王健全¹, 林尚静², 马彰超¹, 李卫³, Qilian Liang⁴, 黄蓉⁵

¹ 北京科技大学自动化学院，北京 100083
² 北京邮电大学电子工程学院，北京 100876
³ 北京科技大学计算机与通信工程学院，北京 100083
⁴ 美国得克萨斯大学阿灵顿分校电子工程系，得克萨斯 76019
⁵ 中国联通研究院，北京 100048

修回日期:2021-08-27 出版日期:2021-12-01 发布日期:2021-12-01
作者简介:孙雷（1984- ），男，贵州安顺人，博士，北京科技大学副教授、硕士生导师，主要研究方向为移动通信技术、时间敏感网络、工业确定性网络、5G与时间敏感网络协同传输技术、异构网络联合资源管理机制等
王健全（1974- ），男，山西平遥人，博士，北京科技大学教授、博士生导师，主要研究方向为工业泛在网络、工业互联网、工业互联网安全、网络协同与智能制造等
林尚静（1986- ），女，湖北武汉人，博士，北京邮电大学讲师、硕士生导师，主要研究方向为用户中心无定形网络、无线资源管理、数据驱动的5G网络优化等
马彰超（1984- ），男，山西晋城人，博士，北京科技大学副教授、硕士生导师，主要研究方向为工业互联网安全、5G与工业网络协同、工业互联网、量子保密通信等
李卫（1966- ），女，重庆人，北京科技大学教授、硕士生导师，主要研究方向为工业互联网、移动通信系统与关键技术等
Qilian Liang（1972- ），男，博士，美国得克萨斯大学阿灵顿分校教授，主要研究方向为无线通信、无线传感网络、信号处理等
黄蓉（1986- ），女，四川资阳人，博士，中国联通研究院高级工程师,主要研究方向为5G/6G网络架构及关键技术、确定性网络和工业互联网
基金资助:
国家重点研发计划基金资助项目(2020YFB1708800);中央高校基本科研业务费专项资金资助项目(FRF-MP-20-37);广东省重点领域研发计划基金资助项目(2020B0101130007)

Research on 5G-TSN joint scheduling mechanism based on radio channel information

Lei SUN¹, Jianquan WANG¹, Shangjing LIN², Zhangchao MA¹, Wei LI³, Liang Qilian⁴, Rong HUANG⁵

¹ School of Automation and Electrical Engineering， University of Science and Technology Beijing， Beijing 100083， China
² School of Electronic Engineering， Beijing University of Posts and Telecommunications， Beijing 100876， China
³ School of Computer and Communication Engineering， University of Science and Technology Beijing， Beijing 100083， China
⁴ Department of Electrical Engineering， University of Texas at Arlington， Texas 76019， USA
⁵ China Unicom Research Institute， Beijing 100048， China

Revised:2021-08-27 Online:2021-12-01 Published:2021-12-01
Supported by:
The National Key Research and Development Program of China(2020YFB1708800);The Fundamental Research Funds for the Central Universities(FRF-MP-20-37);Guangdong Provincial Key Research and Development Program(2020B0101130007)

摘要/Abstract

摘要：

针对具备周期性及时间触发特征的工业业务在无线环境下的确定性传输问题，提出了一种基于空口信道质量信息的5G与时间敏感网络联合优化机制。在时间敏感网络中，改进了时间敏感网络业务流处理架构，优先处理承载于较差质量无线信道的工业业务流；在 5G 网络中，分析了 5G 系统传输时延影响因素，对无线信道质量、无线资源数量与空口最大传输次数的关系进行建模，基于该模型可得到满足数据传输可靠度要求的最大重传次数，从而可动态设置重传因子以动态规划承载于不同无线资源上的工业业务的5G系统传输时延预算。仿真结果表明，所提联合调度机制能降低承载于较差信道质量的工业业务的时间敏感网络域传输时延，并能有效消除5G空口随机变化导致的重传对传输时延造成的抖动，实现工业业务端到端确定性时延保障。

关键词: 5G与时间敏感网络, 联合调度, 工业业务, 跨网确定性传输, 端到端确定性时延

Abstract:

To solve the deterministic transmission problem of periodic and time-triggered industrial traffics in wireless environment， a joint optimization mechanism of 5G and time sensitive networking based on radio channel information was considered.Based on improved traffic process architecture in time sensitive network， the traffics bearing on radio channel with worse quality could be processed in priority.In 5G networks， the relationship among radio channel quality， resource numbers and the maximum transmission times over radio was modeled， and the maximum transmission times satisfied data transmission reliable probability could be computed from the model，then the transmission time budget in 5G system for multiple industrial traffics bearing on diverse radio resources could be adjusted dynamically by retransmission factors.Simulation results demonstrate that the proposed joint scheduling mechanism achieves less TSN transmission delay of industrial traffics bearing on worse quality radio resources and can eliminate jitter caused by retransmission due to variation of 5G radio channel， which can guarantee end-to-end deterministic delay for industrial traffics.

Key words: 5G and time-sensitive networking, joint scheduling, industrial traffic, deterministic transmission cross net-works, end-to-end deterministic delay

中图分类号:

TN92

孙雷, 王健全, 林尚静, 马彰超, 李卫, Qilian Liang, 黄蓉. 基于无线信道信息的5G与TSN联合调度机制研究[J]. 通信学报, 2021, 42(12): 65-75.

Lei SUN, Jianquan WANG, Shangjing LIN, Zhangchao MA, Wei LI, Liang Qilian, Rong HUANG. Research on 5G-TSN joint scheduling mechanism based on radio channel information[J]. Journal on Communications, 2021, 42(12): 65-75.

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参考文献 19

[1]	WOLLSCHLAEGER M , SAUTER T , JASPERNEITE J . The future of industrial communication:automation networks in the era of the Internet of Things and industry 4.0[J]. IEEE Industrial Electronics Magazine, 2017,11(1): 17-27.
[2]	VITTURI S , ZUNINO C , SAUTER T . Industrial communication systems and their future challenges:next-generation Ethernet,IIoT,and 5G[J]. Proceedings of the IEEE, 2019,107(6): 944-961.
[3]	SPINELLI F , MANCUSO V . Toward enabled industrial verticals in 5G:a survey on MEC-based approaches to provisioning and flexibility[J]. IEEE Communications Surveys ＆ Tutorials, 2021,23(1): 596-630.
[4]	丛培壮, 田野, 龚向阳 ,等. 时间敏感网络的关键协议及应用场景综述[J]. 电信科学, 2019,35(10): 31-42.
	CONG P Z , TIAN Y , GONG X Y ,et al. A survey of key protocol and application scenario of time-sensitive network[J]. Telecommunications Science, 2019,35(10): 31-42.
[5]	5G ACIA White Paper. Integration of 5G with time-sensitive networking for industrial communications[R]. 2020.
[6]	STRIFFLER T , MICHAILOW N , BAHR M . Time-sensitive networking in 5th generation cellular networks - current state and open topics[C]// Proceedings of 2019 IEEE 2nd 5G World Forum (5GWF). Piscataway:IEEE Press, 2019: 547-552.
[7]	黄韬, 汪硕, 黄玉栋 ,等. 确定性网络研究综述[J]. 通信学报, 2019,40(6): 160-176.
	HUANG T , WANG S , HUANG Y D ,et al. Survey of the deterministic network[J]. Journal on Communications, 2019,40(6): 160-176.
[8]	. WG802.1.IEEE standard for local and metropolitan area networksbridges and bridged networks:IEEE Std 802.1Q-2018[S]. IEEE, 2018.
[9]	FINN N . Introduction to time-sensitive networking[J]. IEEE Communications Standards Magazine, 2018,2(2): 22-28.
[10]	NASRALLAH A , THYAGATURU A S , ALHARBI Z ,et al. Ultra-low latency (ULL) networks:the IEEE TSN and IETF DetNet standards and related 5G ULL research[J]. IEEE Communications Surveys ＆Tutorials, 2019,21(1): 88-145.
[11]	GODOR I , LUVISOTTO M , RUFFINI S ,et al. A look inside 5G standards to support time synchronization for smart manufacturing[J]. IEEE Communications Standards Magazine, 2020,4(3): 14-21.
[12]	3GPP. System Architecture for the 5G System:3GPP TS 23.501[S]. 2020.
[13]	张强, 王卫斌, 陆光辉 . 工业互联网场景下5G TSN关键技术研究[J]. 中兴通讯技术, 2020,26(6): 21-26.
	ZHANG Q , WANG W B , LU G H . 5G TSN key technologies in industrial Internet scenario[J]. ZTE Technology Journal, 2020,26(6): 21-26.
[14]	MANNWEILER C , GAJIC B , ROST P ,et al. Reliable and deterministic mobile communications for industry 4.0:key challenges and solutions for the integration of the 3GPP 5G system with IEEE[C]// Proceedings of Mobile Communication - Technologies and Applications;24.ITG-Symposium. Piscataway:IEEE Press, 2019: 1-6.
[15]	LARRA?AGA A , LUCAS-ESTA? M C , MARTINEZ I ,et al. Analysis of 5G-TSN integration to support industry 4.0[C]// Proceedings of 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Piscataway:IEEE Press, 2020: 1111-1114.
[16]	3GPP. Procedures for the 5G System(5GS); stage 2:3GPP TS 23.502[S]. 2020.
[17]	BASUMATARY C , SATHEESH H S . Queuing policies for enhanced latency in time sensitive networking[C]// Proceedings of 2020 IEEE International Conference on Electronics,Computing and Communication Technologies (CONECCT). Piscataway:IEEE Press, 2020: 1-7.
[18]	ZHOU Z F , LEE J , BERGER M S ,et al. Simulating TSN traffic scheduling and shaping for future automotive Ethernet[J]. Journal of Communications and Networks, 2021,23(1): 53-62.
[19]	RAY J K , BISWAS P , BERA R ,et al. TSN enabled 5G non public network for smart systems[C]// Proceedings of 2020 5th International Conference on Computing,Communication and Security (ICCCS). Piscataway:IEEE Press, 2020: 1-6.

参数名称	参数取值
子载波间隔/kHz	30
系统带宽/MHz	100
传输时延间隔TTI/ ms	0.25
重传时延/ms	1
5G调度方式	半静态调度
TSN传输速率/（Mbit.s^-1）TSN调度器	1 000TAS

参数名称	参数取值
ES₁业务流周期/ms	5
ES₁业务流包长度/B	1 000
ES₂业务流周期/ms	10
ES₂业务流包长度/B	1 200

基于无线信道信息的5G与TSN联合调度机制研究

Research on 5G-TSN joint scheduling mechanism based on radio channel information

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