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Paper Abstract and Keywords
Presentation 2026-07-23 11:00
Neural Network-Based Digital Predistortion for Satellite Communications
Masaaki Tanio, Daisaku Ogasahara (NEC) SAT2026-23
Abstract (in Japanese) (See Japanese page) 
(in English) With the increasing bandwidth and higher-order modulation in satellite communications, the impact of nonlinear distortion in power amplifiers has become more significant, and nonlinear distortion compensation techniques are becoming increasingly important for achieving higher capacity and lower power consumption of communication equipment. In particular, for satellite communication downlinks, digital predistortion (DPD) is effective for realizing highly efficient amplifier operation. However, the miniaturization of DPD is required because onboard satellite equipment is subject to stringent constraints on circuit size and power consumption. In this paper, Envelope Time-Delay Neural Network (ETDNN), a neural-network-based digital predistortion technique, is applied to an X-band power amplifier for satellite communications, and high distortion compensation accuracy is achieved with computational complexity as low as that of conventional methods without neural networks. The results indicate that approximately 40% improvement in output power and power efficiency can be expected.
Keyword (in Japanese) (See Japanese page) 
(in English) Satellite communication downlinks / Neural Network / Digital Predistortion / Pruning / / / /  
Reference Info. IEICE Tech. Rep., vol. 126, no. 124, SAT2026-23, pp. 52-56, July 2026.
Paper # SAT2026-23 
Date of Issue 2026-07-15 (SAT) 
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 SAT2026-23

Conference Information
Committee SAT AP SANE  
Conference Date 2026-07-22 - 2026-07-24 
Place (in Japanese) (See Japanese page) 
Place (in English) Kobe Port Oasis 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Remote sensing, Sattelite Communication, Radio propagation, Antennas and Propagation 
Paper Information
Registration To SAT 
Conference Code 2026-07-SAT-AP-SANE 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Neural Network-Based Digital Predistortion for Satellite Communications 
Sub Title (in English)  
Keyword(1) Satellite communication downlinks  
Keyword(2) Neural Network  
Keyword(3) Digital Predistortion  
Keyword(4) Pruning  
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1st Author's Name Masaaki Tanio  
1st Author's Affiliation NEC Corporation (NEC)
2nd Author's Name Daisaku Ogasahara  
2nd Author's Affiliation NEC Corporation (NEC)
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Speaker Author-1 
Date Time 2026-07-23 11:00:00 
Presentation Time 20 minutes 
Registration for SAT 
Paper # SAT2026-23 
Volume (vol) vol.126 
Number (no) no.124 
Page pp.52-56 
#Pages 5 
Date of Issue 2026-07-15 (SAT) 

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