Li, Yupeng, Ning, Xinyu, Gao, Shijian, Liu, Yitong, Sun, Zhi, Wang, Qixing, Wang, Jiangzhou (2024) Augmenting Channel Simulator and Semi-Supervised Learning for Efficient Indoor Positioning. In: GLOBECOM 2024 - 2024 IEEE Global Communications Conference. . pp. 2864-2869. IEEE ISBN 979-8-3503-5126-2. E-ISBN 979-8-3503-5125-5. (doi:10.1109/globecom52923.2024.10901720) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:109320)
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| Official URL: https://doi.org/10.1109/globecom52923.2024.1090172... |
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Abstract
This work aims to tackle the labor-intensive and resource-consuming task of indoor positioning by proposing an efficient approach. The proposed approach involves the introduction of a semi-supervised learning (SSL) with a biased teacher (SSLB) algorithm, which effectively utilizes both labeled and un-labeled channel data. To reduce measurement expenses, unlabeled data is generated using an updated channel simulator (UCHS), and then weighted by adaptive confidence values to simplify the tuning of hyperparameters. Simulation results demonstrate that the proposed strategy achieves superior performance while minimizing measurement overhead and training expense compared to existing benchmarks, offering a valuable and practical solution for indoor positioning.
| Item Type: | Conference or workshop item (Paper) |
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| DOI/Identification number: | 10.1109/globecom52923.2024.10901720 |
| Uncontrolled keywords: | Indoor positioning: semi-supervised learning; pseudo-label; deep learning; 6G |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) |
| Institutional Unit: | Schools > School of Engineering, Mathematics and Physics > Engineering |
| Former Institutional Unit: |
There are no former institutional units.
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| SWORD Depositor: | JISC Publications Router |
| Depositing User: | JISC Publications Router |
| Date Deposited: | 23 Jul 2025 15:27 UTC |
| Last Modified: | 24 Jul 2025 14:59 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/109320 (The current URI for this page, for reference purposes) |
University of Kent Author Information
Wang, Jiangzhou.
| Creator's ORCID: |
 https://orcid.org/0000-0003-0881-3594
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