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...

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Bibliographic Details
Main Authors: Changwoo Pyo, Hirokazu Sawada, Takeshi Matsumura
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10347228/