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ISAC-enabled channel-aware beam management in THz networks with sensing errors

Abstract:
This paper investigates the use of Integrated Sensing and Communication (ISAC) to enhance beam management in Terahertz (THz) networks. Following the 5G numerology, the proposed ISAC scheme leverages the synchronization signal block (SSB) for channel condition perception, environmental blockage sensing, and user tracking, which facilitates timely handovers and beam switching based on sensing results. We develop a system-level stochastic geometry framework to account for lineof-sight (LoS) and non-line-of-sight (NLoS) channel conditions, base station (BS) and blocker densities, and sensing accuracy limitations. This framework yields a semi-closed expression for evaluating the average beam misalignment probability in ISAC networks. We demonstrate the performances of both timeoutinduced and sensing error-induced misalignment probabilities, respectively. Furthermore, we propose an optimal resource allocation strategy under noisy sensing conditions to minimize beam misalignment probability. Numerical results are provided to validate our analytical results and illustrate the efficacy and robustness of the proposed ISAC beam management scheme compared to conventional networks. This research can offer insight for ISAC network deployments and configurations.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/ICCWorkshops67674.2025.11162305

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
St John's College
Role:
Author
ORCID:
0000-0001-8534-4504
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author


Publisher:
IEEE
Host title:
2025 IEEE International Conference on Communications Workshops (ICC Workshops)
Pages:
1389-1394
Publication date:
2025-09-22
Acceptance date:
2025-03-12
Event title:
IEEE International Conference on Communications (ICC 2025)
Event location:
Montreal, Canada
Event website:
https://icc2025.ieee-icc.org/
Event start date:
2025-06-08
Event end date:
2025-06-12
DOI:
EISSN:
2694-2941
ISSN:
2164-7038
EISBN:
9798331596248
ISBN:
9798331596255


Language:
English
Keywords:
Pubs id:
2244065
Local pid:
pubs:2244065
Deposit date:
2025-07-14
ARK identifier:

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