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AuthorHe, Danping
AuthorGuan, Ke
AuthorYan, Dong
AuthorYi, Haofan
AuthorZhang, Zhao
AuthorWang, Xiping
AuthorZhong, Zhangdui
AuthorZorba, Nizar
Available date2024-07-14T07:57:21Z
Publication Date2023
Publication NameIEEE Journal on Selected Areas in Communications
ResourceScopus
Identifierhttp://dx.doi.org/10.1109/JSAC.2023.3310108
ISSN7338716
URIhttp://hdl.handle.net/10576/56601
AbstractTo realize intelligent connection of everything and the digital twin (DT) of the physical world in 6G and beyond, new communication and sensing solutions are demanded. The potential of multiple spectrums is maximized for various applications and scenarios. In such a context, an accurate, efficient, and pervasive multi-spectrum propagation model is needed as a critical and unified baseline for testing the performance of the solutions in various scenarios. This work presents ray-Tracing (RT) oriented methods for the DT presentation of radio propagation at multiple frequency bands from microwave to visible light. The material-and field-measurement-based approaches are proposed to characterize the electromagnetic properties of materials. On that basis, the propagation mechanisms are developed and validated, and the corresponding parameters are inverted. For the real-Time simulation demand, RT and artificial intelligence (AI) algorithms are fused to develop a super-resolution modeling method. The experimental results indicate that the proposed method outperforms the baseline model regarding stability and accuracy. It can significantly reduce the computation time with comparable accuracy to the RT-only approach. The proposed methodologies and the in-depth discussions in this work are expected to pave the way to realize the DT of multi-spectrum propagation for evaluating 6G and beyond technologies.
Languageen
PublisherInstitute of Electrical and Electronics Engineers Inc.
Subject6G
Artificial intelligence
propagation measurement
propagation modeling
ray-Tracing
TitlePhysics and AI-Based Digital Twin of Multi-Spectrum Propagation Characteristics for Communication and Sensing in 6G and beyond
TypeArticle
Pagination3461-3473
Issue Number11
Volume Number41
dc.accessType Abstract Only


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