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Paper Abstract and Keywords
Presentation 2022-07-27 09:25
[Invited Lecture] A Study of Rain Attenuation Prediction Method by Deep Learning
Yuji Komatsuya, Tetsuro Imai (TDU), Miyuki Hirose (Kyutech) AP2022-34
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, the frequency used in wireless systems has got higher significantly, such as B5G, HAPS, etc., and the importance of estimating rainfall attenuation has increased. On the other hand, It is actively to be studied estimating propagation loss using CNN that inputs map of information on the path. We think it is possible to take the same concept in the rain attenuation prediction. So we proposed a rain attenuation estimation method by CNN which inputs map of rainfall rate and path distance, and conducted prediction.
Keyword (in Japanese) (See Japanese page) 
(in English) Rain Attenuation / Deep Learning / CNN / / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 135, AP2022-34, pp. 1-5, July 2022.
Paper # AP2022-34 
Date of Issue 2022-07-20 (AP) 
ISSN Online edition: ISSN 2432-6380
Copyright
and
reproduction		 All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF AP2022-34

Conference Information
Committee AP SANE SAT  
Conference Date 2022-07-27 - 2022-07-29 
Place (in Japanese) (See Japanese page) 
Place (in English) Asahikawa Taisetsu Crystal Hall 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Remote sensing, Sattelite Communication, Radio propagation, Antennas and Propagation 
Paper Information
Registration To AP 
Conference Code 2022-07-AP-SANE-SAT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study of Rain Attenuation Prediction Method by Deep Learning 
Sub Title (in English)  
Keyword(1) Rain Attenuation  
Keyword(2) Deep Learning  
Keyword(3) CNN  
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1st Author's Name Yuji Komatsuya  
1st Author's Affiliation Tokyo Denki University (TDU)
2nd Author's Name Tetsuro Imai  
2nd Author's Affiliation Tokyo Denki University (TDU)
3rd Author's Name Miyuki Hirose  
3rd Author's Affiliation Kyushu Institute of Technology (Kyutech)
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Speaker Author-1 
Date Time 2022-07-27 09:25:00 
Presentation Time 25 minutes 
Registration for AP 
Paper # AP2022-34 
Volume (vol) vol.122 
Number (no) no.135 
Page pp.1-5 
#Pages 5 
Date of Issue 2022-07-20 (AP) 

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