Slice scheduling for industrial time-critical services in 5G TSN integration network

GUAN Wanqing; LIU Nuoyan; LI Wei; FU Meixia; ZHANG Haijun

doi:10.11959/j.issn.1000-0801.2024073

您当前的位置：

首页 >

文章列表页 >

Slice scheduling for industrial time-critical services in 5G TSN integration network

Research and Development | 更新时间：2024-06-05

- Slice scheduling for industrial time-critical services in 5G TSN integration network
- Telecommunications Science Vol. 40, Issue 3, Pages: 53-63(2024)
- 作者机构：
  
  1.北京科技大学计算机与通信工程学院，北京 100083
  2.北京科技大学自动化学院，北京 100083
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(62101031)
- DOI：10.11959/j.issn.1000-0801.2024073
  CLC： TN929.5
- Received：09 November 2023，
  
  Revised：13 March 2024，
  
  Published：20 March 2024
- 稿件说明：
移动端阅览
管婉青,刘诺言,李卫等.面向工业时敏业务的5G TSN融合网络切片资源调度[J].电信科学,2024,40(03):53-63.

GUAN Wanqing,LIU Nuoyan,LI Wei,et al.Slice scheduling for industrial time-critical services in 5G TSN integration network[J].Telecommunications Science,2024,40(03):53-63.
管婉青,刘诺言,李卫等.面向工业时敏业务的5G TSN融合网络切片资源调度[J].电信科学,2024,40(03):53-63. DOI： 10.11959/j.issn.1000-0801.2024073.

GUAN Wanqing,LIU Nuoyan,LI Wei,et al.Slice scheduling for industrial time-critical services in 5G TSN integration network[J].Telecommunications Science,2024,40(03):53-63. DOI： 10.11959/j.issn.1000-0801.2024073.

摘要

5G与时间敏感网络（time sensitive network，TSN）融合部署是实现工业互联网无线化和柔性制造的重要基础，如何实现多类型工业业务和移动业务的共网高质量传输，是5G TSN融合网络需要解决的关键问题。为此，面向工业互联网场景，依据业务特征差异划分工业业务流的类型，设计了一种适配周期性时敏业务和突发性时敏业务的网络切片资源调度策略，提出了基于均匀分布的资源分区调度算法。所提方法通过控制资源预留和资源抢占，在优化无线资源使用的同时，保障了工业业务流的时延，满足了移动业务的传输速率需求。最后，通过仿真实验验证了所提方法在提升业务需求满足度和资源利用率方面的有效性。

Abstract

The integrated deployment of 5G and time sensitive network (TSN) is an important foundation for realizing wireless industrial Internet and flexible manufacturing. How to guarantee the high-quality transmission simultaneously of diverse industrial services and mobile services is a key issue to be solved for 5G TSN integration. Therefore

the types of industrial services were divided according to the differences in requirement characteristics

a slice scheduling strategy for industrial Internet was designed to satisfy the requirements of periodic time-critical services and sporadic burst services

and a resource partitioning algorithm based on uniform distribution was proposed. By controlling resource reservation and resource preemption

the proposed method can optimize the utilization of wireless resources and guarantee the delay of industrial traffic and the transmission rate of mobile services. Finally

the effectiveness of the proposed method in improving the service requirements satisfaction and resource utilization was verified by simulation experiments.

关键词

Keywords

references

许方敏 , 伍丽娇 , 杨帆 , 等 . 时间敏感网络(TSN)及无线TSN技术 [J ] . 电信科学 , 2020 , 36 ( 8 ): 81 - 91 .

XU F M , WU L J , YANG F , et al . Time-sensitive networking (TSN) and wireless TSN technology [J ] . Telecommunications Science , 2020 , 36 ( 8 ): 81 - 91 .

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 .

张海君 , 陈安琪 , 李亚博 , 等 . 6G移动网络关键技术 [J ] . 通信学报 , 2022 , 43 ( 7 ): 189 - 202 .

ZHANG H J , CHEN A Q , LI Y B , et al . Key technologies of 6G mobile network [J ] . Journal on Communications , 2022 , 43 ( 7 ): 189 - 202 .

管婉青 , 张海君 , 路兆铭 . 基于DRL的6G多租户网络切片智能资源分配算法 [J ] . 北京邮电大学学报 , 2020 , 43 ( 6 ): 132 - 139 .

GUAN W Q , ZHANG H J , LU Z M . Intelligent resource allocation algorithm for 6G multi-tenant network slicing based on deep reinforcement learning [J ] . Journal of Beijing University of Posts and Telecommunications , 2020 , 43 ( 6 ): 132 - 139 .

SCHMIDT R , CHANG C Y , NIKAEIN N . Slice scheduling with QoS-guarantee towards 5G [C ] // Proceedings of the 2019 IEEE Global Communications Conference (GLOBECOM) . Piscataway : IEEE Press , 2019 : 1 - 7 .

ANAND A , DE VECIANA G , SHAKKOTTAI S . Joint scheduling of URLLC and eMBB traffic in 5G wireless networks [J ] . IEEE/ACM Transactions on Networking , 2020 , 28 ( 2 ): 477 - 490 .

GINTHÖR D , GUILLAUME R , SCHÜNGEL M , et al . 5G RAN slicing for deterministic traffic [C ] // Proceedings of the 2021 IEEE Wireless Communications and Networking Conference (WCNC) . Piscataway : IEEE Press , 2021 : 1 - 6 .

BAKRI S , FRANGOUDIS P A , KSENTINI A , et al . Data-driven RAN slicing mechanisms for 5G and beyond [J ] . IEEE Transactions on Network and Service Management , 2021 , 18 ( 4 ): 4654 - 4668 .

BELIKAIDIS I P , GEORGAKOPOULOS A , TSAGKARIS K , et al . 5G radio access network slicing: system-level evaluation and management [J ] . IEEE Vehicular Technology Magazine , 2019 , 14 ( 4 ): 49 - 55 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Research on dynamic allocation of network slicing resources based on OS-MBRL

Study on the key technologies of satellite communication for space-air-ground-sea integration

Edge computing smart grid resource scheduling algorithm based on reinforcement learning

Intelligent adaptation and integrated scheduling method for computing and networking resources

Research on IPv6+ intelligent backbone network technology

Related Author

LU Lingrong

WANG Guangchang

JIANG Xian

DONG Ligang

ZHONG Weixuan

YAN Jiahui

HE Yuanzhi

LIAO Leiyao

Related Institution

UT Starcom Telecom Co., Ltd.

Zhejiang Gongshang University

Academy of Military Science

Institute of Space-Air-Ground-Sea Communication Technology Integration, Nanjing University of Posts and Telecommunications

School of Communications and Information Engineering, Nanjing University of Posts and Telecommunications

⁰