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Paper Abstract and Keywords
Presentation 2025-11-14 15:10
A Study on Linearization Methods using Deep Reinforcement Learning for Optical Modulators and Nonlinear Amplifiers in A-RoF Links
Uyu Fujii, Takeshi Higashino, Hiroto Yorioka, Minoru Okada (NAIST) RCS2025-181
Abstract (in Japanese) (See Japanese page) 
(in English) The transition from 4G to 5G has led to higher frequencies, resulting in reduced coverage.
To mitigate coverage holes, we are exploring the application of an analog radio-on-fiber (A-RoF) link. However, when supplementing part of the fiber transmission path with wireless relays, it is necessary to consider not only the nonlinear response of the optical modulator but also the nonlinear response caused by the electrical amplifier.
Therefore, we investigated a method to adaptively combine and compensate for the nonlinear responses of the optical modulation section (handling low-power signals) and the electrical amplification section (handling high-power signals) using deep reinforcement learning, and evaluated its characteristics.
Keyword (in Japanese) (See Japanese page) 
(in English) analog radio-on-fiber / deep reinforcement learning / nonlinear compensation / / / / /  
Reference Info. IEICE Tech. Rep., vol. 125, no. 242, RCS2025-181, pp. 193-198, Nov. 2025.
Paper # RCS2025-181 
Date of Issue 2025-11-05 (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 RCS2025-181

Conference Information
Committee AP RCS  
Conference Date 2025-11-12 - 2025-11-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Ehime Prefectural Convention Hall 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Adaptive Antenna, Equalization, Interference Canceler, MIMO, Wireless Communications, etc. 
Paper Information
Registration To RCS 
Conference Code 2025-11-AP-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Linearization Methods using Deep Reinforcement Learning for Optical Modulators and Nonlinear Amplifiers in A-RoF Links 
Sub Title (in English)  
Keyword(1) analog radio-on-fiber  
Keyword(2) deep reinforcement learning  
Keyword(3) nonlinear compensation  
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1st Author's Name Uyu Fujii  
1st Author's Affiliation Nara Institute of Science and Technology (NAIST)
2nd Author's Name Takeshi Higashino  
2nd Author's Affiliation Nara Institute of Science and Technology (NAIST)
3rd Author's Name Hiroto Yorioka  
3rd Author's Affiliation Nara Institute of Science and Technology (NAIST)
4th Author's Name Minoru Okada  
4th Author's Affiliation Nara Institute of Science and Technology (NAIST)
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Speaker Author-1 
Date Time 2025-11-14 15:10:00 
Presentation Time 20 minutes 
Registration for RCS 
Paper # RCS2025-181 
Volume (vol) vol.125 
Number (no) no.242 
Page pp.193-198 
#Pages 6 
Date of Issue 2025-11-05 (RCS) 

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