5G-Powered Industrial Automation: Opportunities and Challenges
-
Published 2026-01-05
5G, Industrial Automation, Smart Manufacturing, IIoT, URLLC, mMTC, Edge Computing, Network Slicing, Cyber-Physical Systems, Industry 4.0 Issue
Section
ArticlesHow to Cite
[1]W. Srisuk and L. Anuwat, “5G-Powered Industrial Automation: Opportunities and Challenges”, ijmiet, vol. 1, no. 1, pp. 26–38, Jan. 2026, Accessed: Mar. 02, 2026. [Online]. Available: https://worldcometresearchgroup.com/index.php/ijmiet/article/view/78Abstract
The field of industrial automation experiences a revolutionary evolution due to the combination of 5G communication technologies with the systems of cyber-physics, artificial intelligence (AI), and Industrial Internet of Things (IIoT). 5G will present unprecedented possibilities, such as increased mobile broadband (eMBB), ultra-reliable low-latency communication (URLLC), and massive machine-type communication (mMTC) all of which result in entirely new possibilities in smart factories, predictive maintenance, autonomous robotics, and real-time process control. The paper discusses the present situation, underlying technology, architectural needs, the latest innovations and obstacles in the development of fully automated 5G-powered industrial ecosystems. The deterministic communication, scalable density of devices, computational offloading based on mobile edge computing (MEC), and manufacturing flexibility are the most significant opportunities. Nevertheless, studies find that there are serious barriers that are impediments to it; cybersecurity threat, interoperability, spectrum management, physical propagation, and economic barricade of the industry. The paper provides a holistic insight into 5G-powered industrial automation through an extensive literature review, comparative analysis, and well-calculated approach to future research by offering strategic solutions to the research issue. The findings demonstrate the potential of the 5G in the system of mission-critical manufacturing, improving the values of latency, throughput and reliability in simulated models of the performance. At the end of the paper, the researcher, engineer and policy makers are provided with the insights in order to enhance sustainable, secure and scalable 5G-enhanced industrial automation systems.
References
[1] Underberg, L., & Willmann, S. (2020). Categorization of industrial communication requirements as key to developing application profiles. IFAC-PapersOnLine, 53(2), 8297–8302.
[2] Ericsson, 5G for Manufacturing: Ultra-Reliable Communication Performance Analysis, Ericsson Technology Review, 2022.
[3] Huawei, 5G Deterministic Networking for Industrial Automation, Huawei Whitepaper, 2021.
[4] Siemens, Industrial Communication with PROFINET: Technology and Application, Siemens AG Industrial Communication, 2018.
[5] H. Zhang et al., “6G Wireless Networks: Vision, Requirements, Architecture and Key Technologies,” IEEE Vehicular Technology Magazine, vol. 14, no. 3, pp. 28–41, 2019.
[6] L. Da Xu, W. He, and S. Li, Internet of Things in Industries: A Survey, IEEE Transactions on Industrial Informatics, 2014.
[7] J. Fink and P. Kumar, “WirelessHART for Industrial Process Monitoring,” ISA Transactions, vol. 62, pp. 76–88, 2016.
[8] M. Wollschlaeger, T. Sauter, and J. Jasperneite, “The Future of Industrial Communication: Automation Networks in the Era of the Internet of Things,” IEEE Industrial Electronics Magazine, vol. 11, no. 1, pp. 17–27, 2017.
[9] IEC 61784-1, Industrial Communication Networks – Profiles, International Electrotechnical Commission, 2020.
[10] Y. Lu and L. D. Xu, “Edge Computing and Its Role in 5G-Enabled Industrial Internet,” IEEE Access, vol. 7, pp. 127 043–127 057, 2019.
[11] S. Vitturi et al., “Industrial Wireless Networks: The Significance of Emerging Technologies,” Computer Standards & Interfaces, vol. 67, 2020.
[12] R. Koch and A. Zandamela, “Latency Requirements for Industrial Automation Systems,” Journal of Manufacturing Systems, vol. 56, pp. 757–769, 2020.
[13] F. Bonomi et al., “Fog Computing and Its Role in the Internet of Things,” Proceedings of the MCC Workshop on Mobile Cloud Computing, ACM, 2012.
[14] Vemula, V. R. (2024, December). Intelligent Security Scheme for Backdoor Attacks in High Speed Heterogeneous Communication Network. In 2024 IEEE 2nd International Conference on Innovations in High Speed Communication and Signal Processing (IHCSP) (pp. 1-8). IEEE.
Downloads
- ga
How to Cite
[1]W. Srisuk and L. Anuwat, “5G-Powered Industrial Automation: Opportunities and Challenges”, ijmiet, vol. 1, no. 1, pp. 26–38, Jan. 2026, Accessed: Mar. 02, 2026. [Online]. Available: https://worldcometresearchgroup.com/index.php/ijmiet/article/view/78
Similar Articles
- Vijaya Ragavan, Neela Rohit, Salim Nazar Mohammed, Neural Network Models for High-Precision Predictive Maintenance , International Journal of Modern Innovations and Emerging Trends: Vol. 1 No. 1 (2026)
- Dr. Jana Novaková, Adi Lestari, Blockchain-Enabled Identity Systems for Secure e-Governance , International Journal of Modern Innovations and Emerging Trends: Vol. 1 No. 1 (2026)
- Isabella Franklin, K. Sathya Narayanan, Emerging Technological Innovations Shaping the Future of Smart Cities , International Journal of Modern Innovations and Emerging Trends: Vol. 1 No. 1 (2026)
- Kanya Mohammed, Dr. Naree Thongchai, Cloud-Native Architectures for Scalable Enterprise Applications , International Journal of Modern Innovations and Emerging Trends: Vol. 1 No. 1 (2026)
You may also start an advanced similarity search for this article.