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Paper Abstract and Keywords
Presentation 2024-01-17 16:00
[Invited Lecture] A Proposal of Indoor Radio Propagation Estimation Method Using DCNN -- On Input Maps for Improving Estimation Accuracy of Out-of-sight Areas --
Masamitsu Irikuchi, Tetsuro Imai (Tokyo Denki Univ.), Koshiro Kitao, Satoshi Suyama (NTTDOCOMO) AP2023-165
Abstract (in Japanese) (See Japanese page) 
(in English) In the next generation communication system (6G), where further improvement of frequency utilization efficiency and power efficiency is an issue, accurate radio propagation estimation is required for system and area design. The authors have proposed an estimation method based on Deep Convolutional Neural Networks (DCNN), but its application to indoor environments has not yet been fully investigated. In this paper, we propose an input map to improve the accuracy of indoor propagation loss estimation using DCNN, especially in out-of-sight areas
Keyword (in Japanese) (See Japanese page) 
(in English) Deep learning / Indoor environment / Radio propagation / / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 336, AP2023-165, pp. 30-34, Jan. 2024.
Paper # AP2023-165 
Date of Issue 2024-01-10 (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 AP2023-165

Conference Information
Committee AP WPT  
Conference Date 2024-01-17 - 2024-01-19 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokimate, Niigata University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Radio propagation, Wireless transmission technology, Antennas and Propagation 
Paper Information
Registration To AP 
Conference Code 2024-01-AP-WPT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Proposal of Indoor Radio Propagation Estimation Method Using DCNN 
Sub Title (in English) On Input Maps for Improving Estimation Accuracy of Out-of-sight Areas 
Keyword(1) Deep learning  
Keyword(2) Indoor environment  
Keyword(3) Radio propagation  
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1st Author's Name Masamitsu Irikuchi  
1st Author's Affiliation Tokyo Denki University (Tokyo Denki Univ.)
2nd Author's Name Tetsuro Imai  
2nd Author's Affiliation Tokyo Denki University (Tokyo Denki Univ.)
3rd Author's Name Koshiro Kitao  
3rd Author's Affiliation NTTDOCOMO ,INC (NTTDOCOMO)
4th Author's Name Satoshi Suyama  
4th Author's Affiliation NTTDOCOMO ,INC (NTTDOCOMO)
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Speaker Author-1 
Date Time 2024-01-17 16:00:00 
Presentation Time 25 minutes 
Registration for AP 
Paper # AP2023-165 
Volume (vol) vol.123 
Number (no) no.336 
Page pp.30-34 
#Pages 5 
Date of Issue 2024-01-10 (AP) 

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