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Paper Abstract and Keywords
Presentation 2023-05-25 10:50
Performance Evaluation of Digital Self-Interference Cancellers for In-Band Full-Duplex Systems with High-Power Amplifiers
Motoshi Tawada, Yuki Takagi, Yoshichika Ohta (SoftBank) RCS2023-16
Abstract (in Japanese) (See Japanese page) 
(in English) In-band full-duplex communication (IBFD), which performs transmission and reception in the same frequency band at the same time, enables improvements in spectral efficiency and low latency, and is regarded as a promising operating mode for future wireless networks. However, in IBFD, the feedback of the transmission signal creates strong self-interference, making interference cancellation a necessary challenge. Previous studies have proposed digital cancellers using polynomial models or neural networks, but experimental verification has mainly been assumed for implementation on terminals with low-output amplifiers that guarantee linearity. Therefore, in this study, we evaluated the performance of various digital self-interference canceller methods using a high-power amplifier with a 6 W-class Gallium Nitride high-electron-mobility transistor (GaN HEMT) to consider implementation of IBFD systems at base stations and relay stations.
Keyword (in Japanese) (See Japanese page) 
(in English) In-Band Full-Duplex / Full-Duplex / Nonlinearity / Self-Interference Canceller / Neural Network / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 52, RCS2023-16, pp. 13-17, May 2023.
Paper # RCS2023-16 
Date of Issue 2023-05-18 (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 RCS2023-16

Conference Information
Committee RCS IN NV  
Conference Date 2023-05-25 - 2023-05-26 
Place (in Japanese) (See Japanese page) 
Place (in English) Keio University (Hiyoshi Campus), and online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Ad-Hoc/Sensor Networks/MANET, Mobile Networks, M2M/IoT Communications, Wi-Fi, IEEE802.15(ZigBee) and others 
Paper Information
Registration To RCS 
Conference Code 2023-05-RCS-IN-NV 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Performance Evaluation of Digital Self-Interference Cancellers for In-Band Full-Duplex Systems with High-Power Amplifiers 
Sub Title (in English)  
Keyword(1) In-Band Full-Duplex  
Keyword(2) Full-Duplex  
Keyword(3) Nonlinearity  
Keyword(4) Self-Interference Canceller  
Keyword(5) Neural Network  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Motoshi Tawada  
1st Author's Affiliation SoftBank Corp. (SoftBank)
2nd Author's Name Yuki Takagi  
2nd Author's Affiliation SoftBank Corp. (SoftBank)
3rd Author's Name Yoshichika Ohta  
3rd Author's Affiliation SoftBank Corp. (SoftBank)
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Speaker Author-1 
Date Time 2023-05-25 10:50:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # RCS2023-16 
Volume (vol) vol.123 
Number (no) no.52 
Page pp.13-17 
#Pages 5 
Date of Issue 2023-05-18 (RCS) 

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