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Paper Abstract and Keywords
Presentation 2026-04-23 11:40
[Invited Lecture] Study on Training Collaboration between UE-side and NW-side for CSI Compression with Two-sided AI/ML model
Tetsuya Yamamoto (Panasonic Holdings), Maki Sugata, Tadashi Yoshida (Panasonic System Networks R&D Lab.), Yasuaki Yuda, Hidetoshi Suzuki (Panasonic Holdings) RCS2026-4
Abstract (in Japanese) (See Japanese page) 
(in English) The application of artificial intelligence (AI) and machine learning (ML) is positioned as a key technology for enhancing the performance of 5th generation mobile communication systems (5G) and preparing for the 6G era by the 3rd Generation Partnership Project (3GPP). For that reason, 3GPP has been studying / specifying the application of AI and ML to the air interface since Release 18. The use case of channel estimation information (CSI) compression, intended to reduce the overhead of CSI reporting, were investigated for feasibility in Release 18 and Release 19, and specification work are currently underway in Release 20. CSI compression is a two-sided model in which both the user equipment (UE) and the network (NW) are equipped with AI/ML models and perform inference processing in coordination with each other; the challenge lies in how to coordinate training between the UE side and the NW side. This paper examines methods to resolve the challenges of training collaboration between different AI/ML development vendors. Through performance evaluation, we analyze the impact on CSI reconstruction accuracy of differences in the training environment compared to the inference environment, as well as differences in the AI/ML training environments between the UE side and the NW side. We demonstrate that high-precision CSI reconstruction is achievable through training coordination using a shared dataset.
Keyword (in Japanese) (See Japanese page) 
(in English) AI/ML / CSI compression / Training collaboration / / / / /  
Reference Info. IEICE Tech. Rep., vol. 126, no. 7, RCS2026-4, pp. 19-24, April 2026.
Paper # RCS2026-4 
Date of Issue 2026-04-16 (RCS) 
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 RCS2026-4

Conference Information
Committee RCS  
Conference Date 2026-04-23 - 2026-04-24 
Place (in Japanese) (See Japanese page) 
Place (in English) Yonago 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Railroad Communications, Inter-Vehicle Communications, Road to Vehicle Communications, Radio Access Technologies, Wireless Communications, etc. 
Paper Information
Registration To RCS 
Conference Code 2026-04-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study on Training Collaboration between UE-side and NW-side for CSI Compression with Two-sided AI/ML model 
Sub Title (in English)  
Keyword(1) AI/ML  
Keyword(2) CSI compression  
Keyword(3) Training collaboration  
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1st Author's Name Tetsuya Yamamoto  
1st Author's Affiliation Panasonic Holdings (Panasonic Holdings)
2nd Author's Name Maki Sugata  
2nd Author's Affiliation Panasonic System Networks R&D Lab. (Panasonic System Networks R&D Lab.)
3rd Author's Name Tadashi Yoshida  
3rd Author's Affiliation Panasonic System Networks R&D Lab. (Panasonic System Networks R&D Lab.)
4th Author's Name Yasuaki Yuda  
4th Author's Affiliation Panasonic Holdings (Panasonic Holdings)
5th Author's Name Hidetoshi Suzuki  
5th Author's Affiliation Panasonic Holdings (Panasonic Holdings)
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Speaker Author-1 
Date Time 2026-04-23 11:40:00 
Presentation Time 30 minutes 
Registration for RCS 
Paper # RCS2026-4 
Volume (vol) vol.126 
Number (no) no.7 
Page pp.19-24 
#Pages 6 
Date of Issue 2026-04-16 (RCS) 

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