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Paper Abstract and Keywords
Presentation 2021-03-03 12:05
A Study on Lazy Learning-Based Self-Interference Cancellation Approach for In-Band Full-Duplex Wireless Communication Systems
Ou Zhao, Wei-Shun Liao, Keren Li, Takeshi Matsumura, Fumihide Kojima, Hiroshi Harada (NICT) RCS2020-214
Abstract (in Japanese) (See Japanese page) 
(in English) To further improve spectral efficiency for current wireless communication systems, we propose a new lazy learning-based cancellation approach to suppress self-interference (SI) sent from a base station itself and enable in-band full-duplex (IBFD) transmissions in cellular networks. Compared to the existing IBFD systems that used the traditional approaches, our proposal consists of two phases: an offline phase for database generation and an online phase for data transmission. In the offline phase, output before 0/1 decision is previously measured without desired signal input and is recorded to a database with self-defined feature vector (FV). In the online phase, for the same system architecture with desired signal input, suitable result is searched from the generated database with the help of learning method and the usage of FV, then the result is assigned as a value of SI cancellation. Computer simulation results indicated that the proposed cancellation approaches can considerably suppress SI and thus enable the IBFD transmissions in the the considered systems.
Keyword (in Japanese) (See Japanese page) 
(in English) Full-duplex transmission / Lazy learning / Machine learning / Self-interference cancellation / Digital cancellation / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 404, RCS2020-214, pp. 67-72, March 2021.
Paper # RCS2020-214 
Date of Issue 2021-02-24 (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 2021-03-03 - 2021-03-05 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Mobile Communication Workshop 
Paper Information
Registration To RCS 
Conference Code 2021-03-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) A Study on Lazy Learning-Based Self-Interference Cancellation Approach for In-Band Full-Duplex Wireless Communication Systems 
Sub Title (in English)  
Keyword(1) Full-duplex transmission  
Keyword(2) Lazy learning  
Keyword(3) Machine learning  
Keyword(4) Self-interference cancellation  
Keyword(5) Digital cancellation  
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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 Takeshi Matsumura  
4th Author's Affiliation NICT (NICT)
5th Author's Name Fumihide Kojima  
5th Author's Affiliation NICT (NICT)
6th Author's Name Hiroshi Harada  
6th Author's Affiliation NICT (NICT)
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Speaker Author-1 
Date Time 2021-03-03 12:05:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # RCS2020-214 
Volume (vol) vol.120 
Number (no) no.404 
Page pp.67-72 
#Pages
Date of Issue 2021-02-24 (RCS) 


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