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 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) |
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RCS2020-214 |
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) |
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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 |
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NICT (NICT) |
6th Author's Name |
Hiroshi Harada |
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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 |
6 |
Date of Issue |
2021-02-24 (RCS) |
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