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Paper Abstract and Keywords
Presentation 2025-07-24 10:40
Basic study on indoor radio wave strength prediction using deep learning
Takehiro Tsuruta, Takaaki Nishino (Takenaka Corporation) AP2025-42
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, wireless communications have come to be used in a variety of fields, and the construction industry is also required to design and produce structures that take the radio wave environment into consideration. In order to establish a method for easily estimating radio wave strength inside buildings without the need for advanced specialist knowledge of wireless communications, a radio wave strength prediction model was created using deep learning, a method that has been actively researched in recent years. When the prediction model was applied to an actual reinforced concrete structure, the error from the actual measurement was 6.8 dB, broken down as follows: the measurement error within line of sight from the transmitting antenna was 5.9 dB, and the measurement error outside line of sight was 8.0 dB.
Keyword (in Japanese) (See Japanese page) 
(in English) Indoor Radio Propagation / Deep Learning / Unet / Ray tracing method / Reinforced concrete / Wireless LAN / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 125, AP2025-42, pp. 49-54, July 2025.
Paper # AP2025-42 
Date of Issue 2025-07-16 (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 AP2025-42

Conference Information
Committee AP SANE SAT  
Conference Date 2025-07-23 - 2025-07-25 
Place (in Japanese) (See Japanese page) 
Place (in English) hakodate arena 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Remote sensing, Subsurface Electromagnetic Measurements, Sattelite Communication, Antennas and Propagation 
Paper Information
Registration To AP 
Conference Code 2025-07-AP-SANE-SAT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Basic study on indoor radio wave strength prediction using deep learning 
Sub Title (in English)  
Keyword(1) Indoor Radio Propagation  
Keyword(2) Deep Learning  
Keyword(3) Unet  
Keyword(4) Ray tracing method  
Keyword(5) Reinforced concrete  
Keyword(6) Wireless LAN  
Keyword(7)  
Keyword(8)  
1st Author's Name Takehiro Tsuruta  
1st Author's Affiliation Takenaka Corporation (Takenaka Corporation)
2nd Author's Name Takaaki Nishino  
2nd Author's Affiliation Takenaka Corporation (Takenaka Corporation)
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Speaker Author-1 
Date Time 2025-07-24 10:40:00 
Presentation Time 20 minutes 
Registration for AP 
Paper # AP2025-42 
Volume (vol) vol.125 
Number (no) no.125 
Page pp.49-54 
#Pages 6 
Date of Issue 2025-07-16 (AP) 

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