Factory 5G: A Review of Industry-Centric Features and Deployment Options

被引:32
作者
Mahmood, Aamir [1 ]
Abedin, Sarder Fakhrul [1 ]
Sauter, Thilo [2 ]
Gidlund, Mikael [3 ]
Landernas, Krister [4 ]
机构
[1] Mid Sweden Univ, Dept Informat Syst & Technol, S-85170 Sundsvall, Sweden
[2] TU Wien, Automat Technol, A-1040 Vienna, Austria
[3] Mid Sweden Univ, Comp Engn Sci, S-85170 Sundsvall, Sweden
[4] ABB Corp Res, Horizon 2020 Informat & Commun Technol 2019 Proje, S-72171 Vasteras, Sweden
关键词
5G mobile communication; Production facilities; Wireless communication; Wireless sensor networks; Ultra reliable low latency communication; Automation; Robot sensing systems; INTERNET; THINGS;
D O I
10.1109/MIE.2022.3149209
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Fine-grained and wide-scale connectivity is a precondition to fully digitalize the manufacturing industry. Driven by this need, new technologies such as time-sensitive networking (TSN), 5G wireless networks, and industrial Internet-of-Things (IIoT) are being applied to industrial communication networks to reach the desired connectivity spectrum. With TSN emerging as a wired networking solution, converging IT and operational technology (OT) data streams, 5G is upscaling its access and core networks to function as an independent or a transparent TSN carrier in demanding OT use-cases. In this article, we discuss the drivers for future industrial wireless systems and review the role of 5G and its industrial-centric evolution towards meeting the strict performance standards of factories. We also elaborate on the 5G deployment options, including frequency spectrum allocation and private networks, to help the factory owners discern various dimensions of solution space and concerns to integrate 5G in industrial networks. © 2007-2011 IEEE.
引用
收藏
页码:24 / 34
页数:11
相关论文
共 44 条
[1]   Data Freshness and Energy-Efficient UAV Navigation Optimization: A Deep Reinforcement Learning Approach [J].
Abedin, Sarder Fakhrul ;
Munir, Md Shirajum ;
Tran, Nguyen H. ;
Han, Zhu ;
Hong, Choong Seon .
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 22 (09) :5994-6006
[2]  
Aijaz A., 2019, IEEE Commun. Stand. Mag., V3, P20, DOI DOI 10.1109/MCOMSTD.001.1700065
[3]   Private 5G The Future of Industrial Wireless [J].
Aijaz, Adnan .
IEEE INDUSTRIAL ELECTRONICS MAGAZINE, 2020, 14 (04) :136-145
[4]   A Statistical Learning Approach to Ultra-Reliable Low Latency Communication [J].
Angjelichinoski, Marko ;
Trillingsgaard, Kasper Floe ;
Popovski, Petar .
IEEE TRANSACTIONS ON COMMUNICATIONS, 2019, 67 (07) :5153-5166
[5]  
[Anonymous], 2020, 22804 3GPP TR
[6]  
[Anonymous], 2021, White Paper
[7]  
[Anonymous], 2021, 3GPP TS 23.501 V17.2.0
[8]  
[Anonymous], 2021, 23502 3GPP TS
[9]  
[Anonymous], 2021, 23251 3GPP TS
[10]  
[Anonymous], 2019, 5G-ACIA Tech. Rep.