{"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}
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.