Paper Abstract and Keywords |
Presentation |
2020-11-27 15:00
Comparative Study of Channel Estimation using Deep-learning based Super-resolution Daiki Maruyama, Kenji Kanai, Jiro Katto (Waseda Univ.) CS2020-73 IE2020-32 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
Recently, application of deep learning into communication systems are getting lots of attention to researchers. Especially, a channel estimation method by using deep learning-based image super-resolution (SR) has been proposed. Inspired by this research, we aim to propose more accurate channel estimation methods by improving deep learning-based SR network. In this paper, we apply more recent SR methods to channel estimation and evaluate the performance of several deep SR based channel estimation methods. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Channel estimation / 5G system / super-resolution / deep learning / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 120, no. 252, CS2020-73, pp. 39-44, Nov. 2020. |
Paper # |
CS2020-73 |
Date of Issue |
2020-11-19 (CS, IE) |
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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CS2020-73 IE2020-32 |
Conference Information |
Committee |
IE CS IPSJ-AVM ITE-BCT |
Conference Date |
2020-11-26 - 2020-11-27 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Image coding, Communications and streaming technologies, etc. |
Paper Information |
Registration To |
CS |
Conference Code |
2020-11-IE-CS-AVM-BCT |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Comparative Study of Channel Estimation using Deep-learning based Super-resolution |
Sub Title (in English) |
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Channel estimation |
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5G system |
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super-resolution |
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deep learning |
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1st Author's Name |
Daiki Maruyama |
1st Author's Affiliation |
Waseda University (Waseda Univ.) |
2nd Author's Name |
Kenji Kanai |
2nd Author's Affiliation |
Waseda Research Institute for Science and Engineering (Waseda Univ.) |
3rd Author's Name |
Jiro Katto |
3rd Author's Affiliation |
Waseda University (Waseda Univ.) |
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Speaker |
Author-1 |
Date Time |
2020-11-27 15:00:00 |
Presentation Time |
25 minutes |
Registration for |
CS |
Paper # |
CS2020-73, IE2020-32 |
Volume (vol) |
vol.120 |
Number (no) |
no.252(CS), no.253(IE) |
Page |
pp.39-44 |
#Pages |
6 |
Date of Issue |
2020-11-19 (CS, IE) |
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