Research on the edge-end collaboration framework for deterministic network

Guangmin SONG; Qunqing WANG; Zhanbing HUANG; Xun SHI; Gaojian HAN

doi:10.11959/j.issn.1000-0801.2022090

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Research on the edge-end collaboration framework for deterministic network

Topic: 5G Industy Application | 更新时间：2024-06-05

- Research on the edge-end collaboration framework for deterministic network
- Telecommunications Science Vol. 38, Issue 5, Pages: 26-37(2022)
- 作者机构：
  
  1. 联通（浙江）产业互联网有限公司，浙江杭州 310051
  2. 中国联合网络通信有限公司浙江省分公司，浙江杭州 310051
  3. 华为技术有限公司，浙江杭州310051
  4. 华为技术有限公司，广东东莞 523808
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2022090
  CLC： TP393
- Published Online：2022-05，
  
  Published：20 May 2022
- 稿件说明：
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Guangmin SONG, Qunqing WANG, Zhanbing HUANG, et al. Research on the edge-end collaboration framework for deterministic network[J]. Telecommunications science, 2022, 38(5): 26-37.
DOI：

Guangmin SONG, Qunqing WANG, Zhanbing HUANG, et al. Research on the edge-end collaboration framework for deterministic network[J]. Telecommunications science, 2022, 38(5): 26-37. DOI： 10.11959/j.issn.1000-0801.2022090.

摘要

工业自动控制等5G垂直行业对网络传输时延与可靠性有着苛刻的要求。聚焦自动导引车（automated guided vehicle，AGV）协同搬运业务场景，深入分析AGV业务关键质量指标（key quality indicator，KQI）与网络时延可靠性需求。现有的5G低时延技术，比如预调度机制通过大量预留空口时频资源降低传输调度等待时延，降低了频谱效率。此外，无线信道弱覆盖、干扰等质差因素会引发较大的时延抖动，难以满足业务时延可靠性需求。针对现有5G网络面临的挑战，设计了一种端边协同时延确定性保障技术方案，基于业务特征进行网络资源预留，同时感知空口信道状态，开启质差保障机制，提升传输可靠性。测试结果表明，端边协同技术方案可以有效提升时延可靠性，降低大时延抖动与优化业务KQI。

Abstract

5G vertical industries such as industrial automatic control have strict requirements on network transmission delay and reliability.It was focused on the AGV collaborative carrying scenarios

in which the key quality indicator (KQI) of the AGV collaboration and the requirements for network jitter were analyzed.Existing 5G ultra-low-latency technologies

such as the pre-scheduling mechanism

reduce transmission scheduling latency by reserving a large number of time-frequency resources

which heavily decreases spectrum efficiency.In addition

wireless channel quality factors such as weak coverage and interference

often cause large jitter

making it difficult to meet the service reliability requirements.In order to deal with these challenges

a deterministic edge-end cooperation framework design to guarantee end-to-end latency was proposed.Based on service flow characteristics

resource reservation was utilized to reduce scheduling latency.Moreover

the proposed framework could enhance data transmissions when poor status of channels was sensed.The experimental results show that the edge-end collaboration framework design can effectively increase the delay reliability

reduce the large jitter

and improve the KQI of AGV collaboration.

关键词

Keywords

references

刘鹏 , 杜宗鹏 , 李永竞 , 等 . 端到端确定性网络架构和关键技术 [J ] . 电信科学 , 2021 , 37 ( 9 ): 64 - 73 .

LIU P , DU Z P , LI Y J , et al . End-to-end deterministic networking architecture and key technologies [J ] . Telecommunications Science , 2021 , 37 ( 9 ): 64 - 73 .

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 .

PHILIP P C , ABDEL-HAFEZ M , . A review on ultra reliable and low latency communications (PHY and MAC layer perspectives) [J ] . Journal of Computer Science , 2020 , 16 ( 8 ): 1100 - 1114 .

李芳 , 张海懿 , 赵文玉 . 面向5G和垂直行业的确定性承载技术探讨 [J ] . 信息通信技术 , 2021 , 15 ( 2 ): 30 - 35 .

LI F , ZHANG H Y , ZHAO W Y . Research discussion on deterministic bearer technology for 5G and vertical industries [J ] . Information and Communications Technologies , 2021 , 15 ( 2 ): 30 - 35 .

强鹂 , 刘冰洋 , 于德雷 , 等 . 大规模确定性网络转发技术 [J ] . 电信科学 , 2019 , 35 ( 9 ): 12 - 19 .

QIANG L , LIU B Y , YU D L , et al . Large-scale deterministic network forwarding technology [J ] . Telecommunications Science , 2019 , 35 ( 9 ): 12 - 19 .

邢真 , 邵伟翔 , 高峰 . 5G+工业互联网能力开放进展和研究 [J ] . 中兴通讯技术 , 2020 , 26 ( 6 ): 7 - 10 .

XING Z , SHAO W X , GAO F . Development and research of 5G+ industrial Internet capacity [J ] . ZTE Technology Journal , 2020 , 26 ( 6 ): 7 - 10 .

聂衡 , 赵慧玲 . 支持行业应用的5G核心网方案 [J ] . 移动通信 , 2021 , 45 ( 1 ): 2 - 5 .

NIE H , ZHAO H L . 5G core network solution for industry application [J ] . Mobile Communications , 2021 , 45 ( 1 ): 2 - 5 .

童仁鹏 . 多AGV搬运的协同编队与避障算法的研究与实现 [D ] . 重庆:重庆邮电大学 , 2020 .

TONG R P . Research on cooperative formation and obstacle avoidance algorithm for multi-AGV transport [D ] . Chongqing:Chongqing University of Posts and Telecommunications , 2020 .

张辰 , 林晓亮 , 段凌霄 , 等 . 基于5G通信技术的配电网精准控制端到端承载方案研究 [J ] . 浙江电力 , 2021 , 40 ( 2 ): 78 - 84 .

ZHANG C , LIN X L , DUAN L X , et al . Research on the end-to-end bearing scheme of accurate control in power distribution based on 5G communication [J ] . Zhejiang Electric Power , 2021 , 40 ( 2 ): 78 - 84 .

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