密集智能工厂网络的分片:现状、情景、挑战和期望

Regina Ochonu, Josep Vidal
{"title":"密集智能工厂网络的分片:现状、情景、挑战和期望","authors":"Regina Ochonu, Josep Vidal","doi":"arxiv-2405.03230","DOIUrl":null,"url":null,"abstract":"In the era of Industry 4.0, smart factories have emerged as a paradigm shift,\nredefining manufacturing with the integration of advanced digital technologies.\nCentral to this transformation is the deployment of 5G networks, offering\nunprecedented levels of connectivity, speed, reliability, and ultra-low\nlatency. Among the revolutionary features of 5G is network slicing, a\ntechnology that offers enhanced capabilities through the customization of\nnetwork resources by allowing multiple logical networks (or slices) to run on\ntop of a shared physical infrastructure. This capability is particularly\ncrucial in the densely packed and highly dynamic environment of smart\nfactories, where diverse applications - from robotic automation to real-time\nanalytics - demand varying network requirements. In this paper, we present a\ncomprehensive overview of the integration of slicing in smart factory networks,\nemphasizing its critical role in enhancing operational efficiency and\nsupporting the diverse requirements of future manufacturing processes. We\nelaborate on the recent advances, and technical scenarios, including indoor\nfactory propagation conditions, traffic characteristics, system requirements,\nslice-aware radio resource management, network elements, enabling technologies\nand current standardisation efforts. Additionally, we identify open research\nchallenges as well as key technical issues stifling deployments. Finally, we\nspeculate on the future trajectory of slicing-enabled smart factories,\nemphasizing the need for continuous adaptation to emerging technologies.","PeriodicalId":501062,"journal":{"name":"arXiv - CS - Systems and Control","volume":"12 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Slicing for Dense Smart Factory Network: Current State, Scenarios, Challenges and Expectations\",\"authors\":\"Regina Ochonu, Josep Vidal\",\"doi\":\"arxiv-2405.03230\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the era of Industry 4.0, smart factories have emerged as a paradigm shift,\\nredefining manufacturing with the integration of advanced digital technologies.\\nCentral to this transformation is the deployment of 5G networks, offering\\nunprecedented levels of connectivity, speed, reliability, and ultra-low\\nlatency. Among the revolutionary features of 5G is network slicing, a\\ntechnology that offers enhanced capabilities through the customization of\\nnetwork resources by allowing multiple logical networks (or slices) to run on\\ntop of a shared physical infrastructure. This capability is particularly\\ncrucial in the densely packed and highly dynamic environment of smart\\nfactories, where diverse applications - from robotic automation to real-time\\nanalytics - demand varying network requirements. In this paper, we present a\\ncomprehensive overview of the integration of slicing in smart factory networks,\\nemphasizing its critical role in enhancing operational efficiency and\\nsupporting the diverse requirements of future manufacturing processes. We\\nelaborate on the recent advances, and technical scenarios, including indoor\\nfactory propagation conditions, traffic characteristics, system requirements,\\nslice-aware radio resource management, network elements, enabling technologies\\nand current standardisation efforts. Additionally, we identify open research\\nchallenges as well as key technical issues stifling deployments. Finally, we\\nspeculate on the future trajectory of slicing-enabled smart factories,\\nemphasizing the need for continuous adaptation to emerging technologies.\",\"PeriodicalId\":501062,\"journal\":{\"name\":\"arXiv - CS - Systems and Control\",\"volume\":\"12 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Systems and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2405.03230\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Systems and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2405.03230","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

在工业 4.0 时代,智能工厂已成为一种范式转变,通过整合先进的数字技术重新定义制造业。这种转变的核心是部署 5G 网络,提供前所未有的连接性、速度、可靠性和超低延迟。5G 的革命性特征之一是网络切片,这种技术通过定制网络资源,允许多个逻辑网络(或切片)在共享物理基础设施上运行,从而提供更强的功能。在智能工厂这种密集且高度动态的环境中,从机器人自动化到实时分析等各种应用对网络的要求各不相同,因此这种能力尤为重要。在本文中,我们将全面介绍智能工厂网络中的切片集成,强调其在提高运营效率和支持未来制造流程的各种要求方面的关键作用。我们详细阐述了最新进展和技术方案,包括室内工厂传播条件、流量特征、系统要求、切片感知无线电资源管理、网络元素、使能技术和当前的标准化工作。此外,我们还确定了公开的研究挑战以及阻碍部署的关键技术问题。最后,我们预测了切片智能工厂的未来发展轨迹,强调了不断适应新兴技术的必要性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Slicing for Dense Smart Factory Network: Current State, Scenarios, Challenges and Expectations
In the era of Industry 4.0, smart factories have emerged as a paradigm shift, redefining manufacturing with the integration of advanced digital technologies. Central to this transformation is the deployment of 5G networks, offering unprecedented levels of connectivity, speed, reliability, and ultra-low latency. Among the revolutionary features of 5G is network slicing, a technology that offers enhanced capabilities through the customization of network resources by allowing multiple logical networks (or slices) to run on top of a shared physical infrastructure. This capability is particularly crucial in the densely packed and highly dynamic environment of smart factories, where diverse applications - from robotic automation to real-time analytics - demand varying network requirements. In this paper, we present a comprehensive overview of the integration of slicing in smart factory networks, emphasizing its critical role in enhancing operational efficiency and supporting the diverse requirements of future manufacturing processes. We elaborate on the recent advances, and technical scenarios, including indoor factory propagation conditions, traffic characteristics, system requirements, slice-aware radio resource management, network elements, enabling technologies and current standardisation efforts. Additionally, we identify open research challenges as well as key technical issues stifling deployments. Finally, we speculate on the future trajectory of slicing-enabled smart factories, emphasizing the need for continuous adaptation to emerging technologies.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信