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Paper Abstract and Keywords
Presentation 2026-05-11 11:50
Radio Propagation Graph Representation Learning for Indoor Warehouse Environments
Yuki Hayakawa, Katsuya Suto, Toshihiko Nishimura, Yasutaka Ogawa (Hokkaido Univ.), Yuta Nakanishi, Koji Takeuchi (MHI) SR2026-5
Abstract (in Japanese) (See Japanese page) 
(in English) This study presents radio propagation graph representation learning for indoor warehouse environments.
In such environments, the received power varies depending on whether
propagation paths are blocked or unblocked by stuff on metal shelves,
which is characterized by the shelf occupancy rate.
To address this, we incorporate the occupancy rate as an input feature
into the received power prediction model of an existing radio propagation
graph representation learning framework.
Performance evaluation using observation data in real-world warehouse environments
demonstrates that the proposed method achieves high estimation accuracy.
Keyword (in Japanese) (See Japanese page) 
(in English) Radio propagation graph representation learning / warehouse environment / occupancy rate / indoor radio propagation / / / /  
Reference Info. IEICE Tech. Rep., vol. 126, no. 13, SR2026-5, pp. 24-29, May 2026.
Paper # SR2026-5 
Date of Issue 2026-05-04 (SR) 
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 SR2026-5

Conference Information
Committee SR  
Conference Date 2026-05-11 - 2026-05-12 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English) IoT，general 
Paper Information
Registration To SR 
Conference Code 2026-05-SR 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Radio Propagation Graph Representation Learning for Indoor Warehouse Environments 
Sub Title (in English)  
Keyword(1) Radio propagation graph representation learning  
Keyword(2) warehouse environment  
Keyword(3) occupancy rate  
Keyword(4) indoor radio propagation  
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1st Author's Name Yuki Hayakawa  
1st Author's Affiliation Hokkaido University (Hokkaido Univ.)
2nd Author's Name Katsuya Suto  
2nd Author's Affiliation Hokkaido University (Hokkaido Univ.)
3rd Author's Name Toshihiko Nishimura  
3rd Author's Affiliation Hokkaido University (Hokkaido Univ.)
4th Author's Name Yasutaka Ogawa  
4th Author's Affiliation Hokkaido University (Hokkaido Univ.)
5th Author's Name Yuta Nakanishi  
5th Author's Affiliation Mitsubishi Heavy Industries, Ltd. (MHI)
6th Author's Name Koji Takeuchi  
6th Author's Affiliation Mitsubishi Heavy Industries, Ltd. (MHI)
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Speaker Author-1 
Date Time 2026-05-11 11:50:00 
Presentation Time 25 minutes 
Registration for SR 
Paper # SR2026-5 
Volume (vol) vol.126 
Number (no) no.13 
Page pp.24-29 
#Pages 6 
Date of Issue 2026-05-04 (SR) 

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