Proposal on Rain Attenuation Prediction Method Using Convolutional Neural Network

Author:

Komatsuya Yuji1,Imai Tetsuro1,Hirose Miyuki2

Affiliation:

1. Tokyo Denki University,Dept. of Information and Communication Engineering,Tokyo,Japan,120-8551

2. Kyushu Institute of Technology,Dept. of Electrical Engineering and Electronics,Fukuoka,Japan,804-8550

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Reference8 articles.

1. Development of High Altitude Platform Station Backhaul System Using 38GHz Band Frequency

2. ITU WRC-19 Spectrum Policy Results

3. Propagation data and prediction methods required for the design of Earth-space telecommunication systems;ITU-R Recommendation,2023

4. Radio propagation prediction model using convolutional neural networks by deep learning;Imai

5. Performance evaluation of DCNN-based model for radio propagation loss prediction —Analysis on prediction mechanism with Grad-CAM —;Kozera;IEICE Trans. Commun. (Japanese Edition),2023

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