The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index.
Industrial IoT in 5G-and-Beyond Networks: Vision, Architecture, and Design Trends
Abstract
Cellular networks are envisioned to be a cornerstone in future industrial Internet of Things (IIoT) wireless connectivity in terms of fulfilling the industrial-grade coverage, capacity, robustness, and timeliness requirements. This vision has led to the design of vertical-centric service-based architecture of 5G radio access and core networks. The design incorporates the capabilities to include 5G-AI-Edge ecosystem for computing, intelligence, and flexible deployment and integration options (e.g., centralized and distributed, physical, and virtual) while eliminating the privacy/security concerns of mission-critical systems. In this article, driven by the industrial interest in enabling large-scale wireless IIoT deployments for operational agility, flexible, and cost-efficient production, we present the state-of-the-art 5G architecture, transformative technologies, and recent design trends, which we also selectively supplemented with new results. We also identify several research challenges in these promising design trends that beyond-5G systems must overcome to support rapidly unfolding transition in creating value-centric industrial wireless networks.
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Cites
Proximal Policy Optimization Algorithms
Schulman, J., Wolski, F., Dhariwal, P., Radford, A., & Klimov, O. (2017) · arXiv · doi:10.48550/arxiv.1707.06347 · Cited by 10,625
A Survey on Mobile Edge Computing: The Communication Perspective
Mao, Y., You, C., Zhang, J., Huang, K., & Letaief, K. B. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2745201 · Cited by 5,607
6G Wireless Networks: Vision, Requirements, Architecture, and Key Technologies
Zhang, Z., Xiao, Y., Ma, Z., Xiao, M., Ding, Z., Lei, X., Karagiannidis, G. K., & Fan, P. (2019) · IEEE Vehicular Technology Magazine · doi:10.1109/mvt.2019.2921208 · Cited by 2,575
Industrial Internet of Things: Challenges, Opportunities, and Directions
Sisinni, E., Saifullah, A., Han, S., Jennehag, U., & Gidlund, M. (2018) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2852491 · Cited by 2,380
Self-citationToward 6G Networks: Use Cases and Technologies
Giordani, M., Polese, M., Mezzavilla, M., Rangan, S., & Zorzi, M. (2020) · IEEE Communications Magazine · doi:10.1109/mcom.001.1900411 · Cited by 2,241
The Roadmap to 6G: AI Empowered Wireless Networks
Letaief, K. B., Chen, W., Shi, Y., Zhang, J., & Zhang, Y.-J. A. (2019) · IEEE Communications Magazine · doi:10.1109/mcom.2019.1900271 · Cited by 2,207
A Comprehensive Survey on Internet of Things (IoT) Toward 5G Wireless Systems
Chettri, L., & Bera, R. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2948888 · Cited by 1,737
6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities
Tataria, H., Shafi, M., Molisch, A. F., Dohler, M., Sjöland, H., & Tufvesson, F. (2021) · Proceedings of the IEEE · doi:10.1109/jproc.2021.3061701 · Cited by 1,549
Practical Non-Linear Energy Harvesting Model and Resource Allocation for SWIPT Systems
Boshkovska, E., Ng, D. W. K., Zlatanov, N., & Schober, R. (2015) · IEEE Communications Letters · doi:10.1109/lcomm.2015.2478460 · Cited by 1,071
Millimeter Wave Beamforming for Wireless Backhaul and Access in Small Cell Networks
Hur, S., Kim, T., Love, D. J., Krogmeier, J. V., Thomas, T. A., & Ghosh, A. (2013) · IEEE Transactions on Communications · doi:10.1109/tcomm.2013.090513.120848 · Cited by 1,062
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A Survey of IoT Privacy Security: Architecture, Technology, Challenges, and Trends
Sun, P., Shen, S., Wan, Y., Wu, Z., Fang, Z., & Gao, X.-Z. (2024) · IEEE Internet of Things Journal · doi:10.1109/jiot.2024.3372518 · Cited by 172
Zeb, S., Mahmood, A., Hassan, S. A., Piran, M. J., Gidlund, M., & Guizani, M. (2022) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2021.103309 · Cited by 132
Self-citationFusionFedBlock: Fusion of blockchain and federated learning to preserve privacy in industry 5.0
Singh, S. K., Yang, L. T., & Park, J. H. (2023) · Information Fusion · doi:10.1016/j.inffus.2022.09.027 · Cited by 115
A new fast multiple color image encryption algorithm
Alexan, W., Hosny, K., & Gabr, M. (2025) · Cluster Computing · doi:10.1007/s10586-024-04919-0 · Cited by 79
Adam, M., & Baroudi, U. (2024) · IEEE Open Journal of the Communications Society · doi:10.1109/ojcoms.2024.3506214 · Cited by 46
Metadata
- Authors
- Mahmood, A., Beltramelli, L., Fakhrul Abedin, S., Zeb, S., Mowla, N. I., Hassan, S. A., Sisinni, E., & Gidlund, M.
- Venue
- IEEE Transactions on Industrial Informatics
- Published
- 2022-06
- Volume
- 18
- Issue
- 6
- Pages
- 4122-4137
- ISSN
- 1551-3203 (ISSN-L)
- 1941-0050
- OpenAlex
- W3203158143
- Cited by
- 294
- References
- 76
- FWCI
- 12.82
- Type
- journal article
- Language
- en
- Open access
- closed
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- Mahmood, A., Beltramelli, L., Fakhrul Abedin, S., Zeb, S., Mowla, N. I., Hassan, S. A., Sisinni, E., & Gidlund, M. (2022). Industrial IoT in 5G-and-Beyond Networks: Vision, Architecture, and Design Trends. IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/tii.2021.3115697
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