Paper Abstract and Keywords |
Presentation |
2019-07-11 13:30
SNR estimation method using convolutional neural network Shun Kojima, Kazuki Maruta, Chang-Jun Ahn (Chiba Univ.) RCC2019-38 NS2019-74 RCS2019-131 SR2019-50 SeMI2019-47 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This paper proposes a novel Adaptive Modulation and Coding (AMC) scheme enabled by Convolutional Neural Network (CNN) aided Signal-to-Noise power Ratio (SNR) estimation. The Power Spectral Density (PSD) values are trained for SNR classification and it is mapped to respective Modulation and Coding Scheme (MCS) sets. Once trained, optimal MCS can be determined in low calculation complexity. The proposed approach is robust especially in high mobility environment since the PSD appearance is hardly influenced by the Doppler shift. Its effectiveness in terms of throughput is presented through computer simulations compared to the existing SNR estimation method using Neural Network (NN) based link adaptation scheme. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
CNN / AMC / SNR estimation / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 108, RCS2019-131, pp. 149-154, July 2019. |
Paper # |
RCS2019-131 |
Date of Issue |
2019-07-03 (RCC, NS, RCS, SR, SeMI) |
ISSN |
Print edition: ISSN 0913-5685 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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RCC2019-38 NS2019-74 RCS2019-131 SR2019-50 SeMI2019-47 |
Conference Information |
Committee |
SeMI RCS NS SR RCC |
Conference Date |
2019-07-10 - 2019-07-12 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
I-Site Nanba(Osaka) |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Communication and Networked Control for the Future Radio of the AI Age, etc |
Paper Information |
Registration To |
RCS |
Conference Code |
2019-07-SeMI-RCS-NS-SR-RCC |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
SNR estimation method using convolutional neural network |
Sub Title (in English) |
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CNN |
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AMC |
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SNR estimation |
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1st Author's Name |
Shun Kojima |
1st Author's Affiliation |
Chiba University (Chiba Univ.) |
2nd Author's Name |
Kazuki Maruta |
2nd Author's Affiliation |
Chiba University (Chiba Univ.) |
3rd Author's Name |
Chang-Jun Ahn |
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Chiba University (Chiba Univ.) |
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Speaker |
Author-1 |
Date Time |
2019-07-11 13:30:00 |
Presentation Time |
25 minutes |
Registration for |
RCS |
Paper # |
RCC2019-38, NS2019-74, RCS2019-131, SR2019-50, SeMI2019-47 |
Volume (vol) |
vol.119 |
Number (no) |
no.106(RCC), no.107(NS), no.108(RCS), no.109(SR), no.110(SeMI) |
Page |
pp.127-132(RCC), pp.153-158(NS), pp.149-154(RCS), pp.159-164(SR), pp.141-146(SeMI) |
#Pages |
6 |
Date of Issue |
2019-07-03 (RCC, NS, RCS, SR, SeMI) |
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