6G Technology for Indoor Localization by Deep Learning with Attention Mechanism
This paper explores 6G technology for indoor positioning, focusing on accuracy and reliability using convolutional neural networks (CNN) with channel state information (CSI). Indoor positioning is critical for smart applications and the Internet of Things (IoT). 6G is expected to significantly enhan...
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Main Authors: | Chien-Ching Chiu, Hung-Yu Wu, Po-Hsiang Chen, Chen-En Chao, Eng Hock Lim |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-11-01
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Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/14/22/10395 |
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