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Paper Abstract and Keywords
Presentation 2025-06-25 14:10
Indoor Experimental Trial on Deep Learning-Based Pilotless Transmission Scheme
Hiroto Yamamoto (NTT), Atsuya Nakamura (NTT DOCOMO), Shuki Wai, Daisei Uchida (NTT), Satoshi Suyama, Huiling Jiang (NTT DOCOMO), Dani Korpi, Jaime j.l. Quispe (Nokia Bell Labs), Kyungpil Lee, Minsoo Na (SK Telecom) RCS2025-55
Abstract (in Japanese) (See Japanese page) 
(in English) For the 6-th generation mobile communication systems (6G), the application of AI/ML (Artificial Intelligence/ Machine Learning) to the air interface is being widely studied. As an effective use of AI/ML for air interface, a deep learning-based pilotless transmission scheme has been proposed where AI/ML is applied to functions such as channel estimation, equalization and demodulation. Several papers have shown through simulation evaluations that the application of AI/ML to the air interface can improve spectral efficiency. However, in all AI/ML applications, it is important to verify how well it performs in real environments. In this report, a proof-of-concept for the deep learning-based pilotless transmission scheme is constructed and experimental results in real indoor environments are shown. The results of the experiments verify that the scheme improves the throughput performance in the indoor environments by 6.5~18.2%.
Keyword (in Japanese) (See Japanese page) 
(in English) 6G / AI/ML / AI-Native Air Interface / deep learning / pilotless transmission / indoor experiments / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 88, RCS2025-55, pp. 143-148, June 2025.
Paper # RCS2025-55 
Date of Issue 2025-06-17 (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)
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Conference Information
Committee RCS  
Conference Date 2025-06-24 - 2025-06-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Asahikawa-Shimin-Bunka-Kaikan 
Topics (in Japanese) (See Japanese page) 
Topics (in English) First Presentation in IEICE Technical Committee, Resource Control, Scheduling, Wireless Communications, etc. 
Paper Information
Registration To RCS 
Conference Code 2025-06-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Indoor Experimental Trial on Deep Learning-Based Pilotless Transmission Scheme 
Sub Title (in English)  
Keyword(1) 6G  
Keyword(2) AI/ML  
Keyword(3) AI-Native Air Interface  
Keyword(4) deep learning  
Keyword(5) pilotless transmission  
Keyword(6) indoor experiments  
Keyword(7)  
Keyword(8)  
1st Author's Name Hiroto Yamamoto  
1st Author's Affiliation NTT Corporation (NTT)
2nd Author's Name Atsuya Nakamura  
2nd Author's Affiliation NTT DOCOMO, INC. (NTT DOCOMO)
3rd Author's Name Shuki Wai  
3rd Author's Affiliation NTT Corporation (NTT)
4th Author's Name Daisei Uchida  
4th Author's Affiliation NTT Corporation (NTT)
5th Author's Name Satoshi Suyama  
5th Author's Affiliation NTT DOCOMO, INC. (NTT DOCOMO)
6th Author's Name Huiling Jiang  
6th Author's Affiliation NTT DOCOMO, INC. (NTT DOCOMO)
7th Author's Name Dani Korpi  
7th Author's Affiliation Nokia Bell Labs (Nokia Bell Labs)
8th Author's Name Jaime j.l. Quispe  
8th Author's Affiliation Nokia Bell Labs (Nokia Bell Labs)
9th Author's Name Kyungpil Lee  
9th Author's Affiliation SK Telecom Co., Ltd. (SK Telecom)
10th Author's Name Minsoo Na  
10th Author's Affiliation SK Telecom Co., Ltd. (SK Telecom)
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Speaker Author-1 
Date Time 2025-06-25 14:10:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # RCS2025-55 
Volume (vol) vol.125 
Number (no) no.88 
Page pp.143-148 
#Pages 6 
Date of Issue 2025-06-17 (RCS) 

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