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Paper Abstract and Keywords
Presentation 2018-10-18 13:05
A Study on Radio Propagation Prediction by Using Deep Learning with CNN -- Relationship between Prediction Accuracy and Input Map-Parameters --
Tetsuro Imai, Takahiro Asai (NTT DOCOMO) AP2018-89
Abstract (in Japanese) (See Japanese page) 
(in English) Recently, advancement of artificial intelligence has been remarkable, and many applied researches are attracting
attention now. Most of them are based on deep learning. Here, we have proposed radio propagation prediction model by using
deep neural network with CNN. This paper evaluates behavior of the proposed model for map-parameters input to CNN.
Keyword (in Japanese) (See Japanese page) 
(in English) Deep learning / Deep neural network / Machine learning / Radio propagation prediction / / / /  
Reference Info. IEICE Tech. Rep., vol. 118, no. 246, AP2018-89, pp. 1-6, Oct. 2018.
Paper # AP2018-89 
Date of Issue 2018-10-11 (AP) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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 AP2018-89

Conference Information
Committee AP  
Conference Date 2018-10-18 - 2018-10-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Okayama Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Antennas and Propagation 
Paper Information
Registration To AP 
Conference Code 2018-10-AP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Radio Propagation Prediction by Using Deep Learning with CNN 
Sub Title (in English) Relationship between Prediction Accuracy and Input Map-Parameters 
Keyword(1) Deep learning  
Keyword(2) Deep neural network  
Keyword(3) Machine learning  
Keyword(4) Radio propagation prediction  
1st Author's Name Tetsuro Imai  
1st Author's Affiliation NTT DOCOMO, INC. (NTT DOCOMO)
2nd Author's Name Takahiro Asai  
2nd Author's Affiliation NTT DOCOMO, INC. (NTT DOCOMO)
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Date Time 2018-10-18 13:05:00 
Presentation Time 25 
Registration for AP 
Paper # IEICE-AP2018-89 
Volume (vol) IEICE-118 
Number (no) no.246 
Page pp.1-6 
#Pages IEICE-6 
Date of Issue IEICE-AP-2018-10-11 

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