Propagation Delay Time Estimation in Street Cells by Machine Learning

In this paper, a propagation delay time estimation method by machine learning using structural parameters in a street cell environment is proposed. As a result of examination, it is shown that the radio waves with shorter delay and the small path loss, the higher estimation accuracy.

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Bibliographic Details
Published in2021 International Symposium on Antennas and Propagation (ISAP) pp. 1 - 2
Main Authors Hayashi, Shinnosuke, Fujimoto, Mitoshi, Kitao, Koshiro, Nakamura, Mitsuki, Suyama, Satoshi, Oda, Yasuhiro
Format Conference Proceeding
LanguageEnglish
Published Taiwan Microwave Association 19.10.2021
Subjects
Buildings
Delays
Estimation
Machine learning
propagation
Propagation delay
Propagation losses
street cells
Structural engineering
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Summary:In this paper, a propagation delay time estimation method by machine learning using structural parameters in a street cell environment is proposed. As a result of examination, it is shown that the radio waves with shorter delay and the small path loss, the higher estimation accuracy.
DOI:10.23919/ISAP47258.2021.9614368