A Deep Learning-Based Indoor Radio Estimation Method Driven by 2.4 GHz Ray-Tracing Data
This paper presents a novel method for estimating received signal strength (RSS) in indoor radio propagation using a deep learning approach. The proposed method utilizes a training dataset comprised of imitated real-world indoor environments and radio-map images generated through 2.4 GHz ray-tracing...
Main Authors: | Changwoo Pyo, Hirokazu Sawada, Takeshi Matsumura |
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Format: | Article |
Language: | English |
Published: |
IEEE
2023-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10347228/ |
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