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Paper Abstract and Keywords
Presentation 2023-03-01 17:30
USRP-Based Implementation for In-Band Full-Duplex Communication Systems with Lazy Learning-Aided Self-Interference Cancellation
Ou Zhao, Wei-Shun Liao, Keren Li, Hikaru Kawasaki, Takeshi Matsumura, Fumihide Kojima, Hiroshi Harada (NICT) RCS2022-265
Abstract (in Japanese) (See Japanese page) 
(in English) To further improve spectral efficiency for current wireless communication systems, in our previous studies, we proposed a lazy learning (LL)-based digital cancellation approach to suppress self-interference (SI) sent from a base station itself and enabled in-band full-duplex (IBFD) transmissions based on computer simulation platform. The core idea for our proposal is introducing an offline phase for database generation and an online phase for data transmission. In general, the database is used to record SI information and helps to perform SI suppression in online data transmission. In the present study, to further verify the performance of the proposed LL-based cancellation approach, we implemented an IBFD system by employing an universal software radio peripheral (USRP)-based transmission platform. Besides the proposed digital cancellation, we further introduced SI cancellations by antenna isolation and analog circuit design. Experiment results indicated that the implemented USRP-based IBFD system offered significant SI cancellation performance, and thus can demodulate desired signal with an acceptable bit error rate level.
Keyword (in Japanese) (See Japanese page) 
(in English) Full-duplex transmission / Lazy learning / Machine learning / Digital cancellation / USRP / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 399, RCS2022-265, pp. 106-111, March 2023.
Paper # RCS2022-265 
Date of Issue 2023-02-22 (RCS) 
ISSN Online edition: ISSN 2432-6380
Copyright
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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 SR SRW  
Conference Date 2023-03-01 - 2023-03-03 
Place (in Japanese) (See Japanese page) 
Place (in English) Tokyo Institute of Technology, and Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Mobile Communication Workshop 
Paper Information
Registration To RCS 
Conference Code 2023-03-RCS-SR-SRW 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) USRP-Based Implementation for In-Band Full-Duplex Communication Systems with Lazy Learning-Aided Self-Interference Cancellation 
Sub Title (in English)  
Keyword(1) Full-duplex transmission  
Keyword(2) Lazy learning  
Keyword(3) Machine learning  
Keyword(4) Digital cancellation  
Keyword(5) USRP  
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1st Author's Name Ou Zhao  
1st Author's Affiliation NICT (NICT)
2nd Author's Name Wei-Shun Liao  
2nd Author's Affiliation NICT (NICT)
3rd Author's Name Keren Li  
3rd Author's Affiliation NICT (NICT)
4th Author's Name Hikaru Kawasaki  
4th Author's Affiliation NICT (NICT)
5th Author's Name Takeshi Matsumura  
5th Author's Affiliation NICT (NICT)
6th Author's Name Fumihide Kojima  
6th Author's Affiliation NICT (NICT)
7th Author's Name Hiroshi Harada  
7th Author's Affiliation NICT (NICT)
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Speaker Author-1 
Date Time 2023-03-01 17:30:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # RCS2022-265 
Volume (vol) vol.122 
Number (no) no.399 
Page pp.106-111 
#Pages
Date of Issue 2023-02-22 (RCS) 


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