Conference item
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
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 1.0MB, Terms of use)
-
- Publisher copy:
- 10.1109/ICCWorkshops67674.2025.11162305
Authors
- 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:
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2025
- Rights statement:
- Copyright © 2025, IEEE
- Notes:
- For the purpose of Open Access, the authors have applied a CC BY public copyright license to any Author Accepted Manuscript (AAM) version arising from this submission.
- Licence:
- CC Attribution (CC BY)
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