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Sub-THz Sensing Channel Modeling in Indoor and Outdoor Environments

Xiao, Yun; Wang, Enhao; Chen, Yunfei

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Authors

Profile image of Yun Xiao

Yun Xiao yun.xiao@durham.ac.uk
PGR Student Doctor of Philosophy

Profile image of Enhao Wang

Enhao Wang enhao.wang@durham.ac.uk
PGR Student Doctor of Philosophy



Abstract

Sensing is regarded as a key function in state-of-the-art communications systems, such as integrated sensing and communications (ISAC). This paper presents new results on the modeling of the sensing channels with or without clutters, in the sub-THz bands (28, 60, 77, and 94 GHz) using the WaveFarer software from Remcom. For the sensing channel, the range-Doppler map, the root mean squared delay spread and the sensing received power are considered. Both indoor and outdoor cases are examined. The indoor and outdoor cases include object only and object-plus-clutter scenarios. The effects of different channel parameters are discussed. Numerical results show that clutter negatively impacts ranging and tracking resolutions. Additionally, higher frequencies improve sensing performance but result in more severe path loss. To design an efficient ISAC system, careful selection of frequency is required.

Citation

Xiao, Y., Wang, E., & Chen, Y. (2025, May). Sub-THz Sensing Channel Modeling in Indoor and Outdoor Environments. Presented at 2025 International Wireless Communications and Mobile Computing (IWCMC), Abu Dhabi, United Arab Emirates

Presentation Conference Type Conference Paper (published)
Conference Name 2025 International Wireless Communications and Mobile Computing (IWCMC)
Start Date May 12, 2025
End Date May 16, 2025
Acceptance Date Mar 15, 2025
Online Publication Date Jul 2, 2025
Publication Date Jul 2, 2025
Deposit Date Jul 9, 2025
Publicly Available Date Jul 14, 2025
Peer Reviewed Peer Reviewed
Pages 287-292
Series ISSN 2376-6506
Book Title 2025 International Wireless Communications and Mobile Computing Conference, IWCMC
DOI https://doi.org/10.1109/iwcmc65282.2025.11059649
Public URL https://durham-repository.worktribe.com/output/4257564

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