The DOI matches its Crossref record; 95 of the 95 references it cites were found in a registry or an index.
Digital Twin of Wireless Systems: Overview, Taxonomy, Challenges, and Opportunities
Open accessAbstract
Future wireless services will focus on improving the quality of life by enabling various applications, such as extended reality, brain-computer interaction, and healthcare. These applications will have diverse performance requirements (e.g., user-defined quality of experience metrics, latency, and reliability) which will be challenging to be fulfilled by existing wireless systems. To meet the diverse requirements of the emerging applications, the concept of digital twins has been recently proposed. A digital twin uses a virtual representation along with security-related technologies (e.g., blockchain), communication technologies (e.g., 6G), computing technologies (e.g., edge computing), and machine learning, so as to enable the smart applications. In this tutorial, we present a comprehensive overview on digital twins for wireless systems. First, we present the fundamental concepts (i.e., design aspects, high-level architecture, and frameworks) of digital twins for wireless systems. Second, a comprehensive taxonomy is devised for two aspects, namely, twins for wireless and wireless for twins. For the twins for wireless aspect, we consider issues related to design of twin objects, physical devices, and interface, as well as prototyping, deployment trends, incentive mechanism, isolation of twins, and decoupling. For the wireless for twins aspect, we consider issues related to accessing twin objects, security and privacy, and air interface design are considered. Finally, open research challenges and opportunities are discussed.
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Citations
Cites
1 retracted
Retracted: A Review Software Defined Networking for Internet of Things
Mohammed, A. H., KHALEEFAH, R. M., Hussein, M. K., & Abdulateef, I. A. (2020) · International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA) · doi:10.1109/hora49412.2020.9152862 · Cited by 50
RetractedThe Internet of Things: A survey
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Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
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“EMERGING Internet of Everything (IoE) applications, such as haptics, brain-computer interaction, flying vehicles, and extended reality (XR), among others, will enable a merger of digital and physical worlds [1], [2], [3], [4].”
BackgroundSelf-citationDigital Twin in Industry: State-of-the-Art
Tao, F., Zhang, H., Liu, A., & Nee, A. Y. C. (2019) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2018.2873186 · Cited by 4,391
Wireless Communications Through Reconfigurable Intelligent Surfaces
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Mobile Edge Computing: A Survey
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Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
Luong, N. C., Hoang, D. T., Gong, S., Niyato, D., Wang, P., Liang, Y.-C., & Kim, D. I. (2019) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2019.2916583 · Cited by 2,060
Network Function Virtualization: State-of-the-Art and Research Challenges
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Progressive Neural Architecture Search
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Cited by
Wang, Y., Su, Z., Guo, S., Dai, M., Luan, T. H., & Liu, Y. (2023) · IEEE Internet of Things Journal · doi:10.1109/jiot.2023.3263909 · Cited by 357
A Survey on Digital Twin for Industrial Internet of Things: Applications, Technologies and Tools
Xu, H., Wu, J., Pan, Q., Guan, X., & Guizani, M. (2023) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2023.3297395 · Cited by 304
Self-citationQuantum secured 6G technology-based applications in Internet of Everything
Prateek, K., Ojha, N. K., Altaf, F., & Maity, S. (2023) · Telecommunication Systems · doi:10.1007/s11235-022-00979-y · Cited by 45
Digital twin for wireless networks: security attacks and solutions
Wang, W., Yang, Y., Khan, L. U., Niyato, D., Han, Z., & Guizani, M. (2024) · IEEE Wireless Communications · doi:10.1109/mwc.020.2200609 · Cited by 30
Self-citation
Metadata
- Authors
- Khan, L. U., Han, Z., Saad, W., Hossain, E., Guizani, M., & Hong, C. S.
- Venue
- IEEE Communications Surveys & Tutorials
- Published
- 2022
- Volume
- 24
- Issue
- 4
- Pages
- 2230-2254
- ISSN
- 1553-877X (ISSN-L)
- 2373-745X
- OpenAlex
- W4290973502
- Cited by
- 322
- References
- 95
- FWCI
- 27.94
- Type
- journal article
- Language
- en
- Open access
- green
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