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Paper Abstract and Keywords
Presentation 2026-03-06 14:15
Dynamic Updating of Network Digital Twin for Real-time Beamforming under Noisy CSI Measurement Conditions
Yuhei Hashimoto, Tatsuya Otoshi, Masayuki Murata (UOsaka) NS2025-330
Abstract (in Japanese) (See Japanese page) 
(in English) In recent years, beamforming via Massive MIMO has become essential for ensuring communication quality in millimeter-wave (mmWave) communications, and capturing highly accurate Channel State Information (CSI) is indispensable for its control. Since CSI at a specific location does not fluctuate significantly over short periods and maintains a strong correlation with spatial coordinates, research has been conducted on beamforming techniques that utilize "CSI maps" recording both location and channel data. However, existing studies often rely on pre-constructed maps and do not account for the real-time responsiveness required to adapt to environmental changes. To address this, this study leverages highly mobile drones for sensing, aiming for real-time map updates within a Network Digital Twin.

To reduce map uncertainty within the limited operational time of drones, we propose an autonomous mobility control method based on Active Inference. Under the Free Energy Principle, Active Inference provides a unified framework for balancing the distinct values of information acquisition in unknown areas and the suppression of movement costs by minimizing Expected Free Energy. Evaluation results demonstrate that the proposed method efficiently improves CSI map accuracy while accounting for movement costs, enabling the construction of high-precision maps in a shorter timeframe compared to conventional methods.
Keyword (in Japanese) (See Japanese page) 
(in English) Active Inference / Free Energy Principle / Massive MIMO / CSIMap / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 385, NS2025-330, pp. 639-644, March 2026.
Paper # NS2025-330 
Date of Issue 2026-02-25 (NS) 
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 NS2025-330

Conference Information
Committee IN NS  
Conference Date 2026-03-04 - 2026-03-06 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa-Ken Shichoson Jichi Kaikan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) General 
Paper Information
Registration To NS 
Conference Code 2026-03-IN-NS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Dynamic Updating of Network Digital Twin for Real-time Beamforming under Noisy CSI Measurement Conditions 
Sub Title (in English)  
Keyword(1) Active Inference  
Keyword(2) Free Energy Principle  
Keyword(3) Massive MIMO  
Keyword(4) CSIMap  
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1st Author's Name Yuhei Hashimoto  
1st Author's Affiliation The University of Osaka (UOsaka)
2nd Author's Name Tatsuya Otoshi  
2nd Author's Affiliation The University of Osaka (UOsaka)
3rd Author's Name Masayuki Murata  
3rd Author's Affiliation The University of Osaka (UOsaka)
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Speaker Author-1 
Date Time 2026-03-06 14:15:00 
Presentation Time 25 minutes 
Registration for NS 
Paper # NS2025-330 
Volume (vol) vol.125 
Number (no) no.385 
Page pp.639-644 
#Pages 6 
Date of Issue 2026-02-25 (NS) 

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