Paper Abstract and Keywords |
Presentation |
2023-01-23 15:20
[Invited Talk]
Application of AI Technology for Sophisticated Operation of Optical Networks Yuji Kobayashi, Jun Kodama, Takehiko Mizoguchi, Yoshiaki Sakae, Yasuhiro Ajiro, Morihiko Ota (NEC) PN2022-35 EMT2022-73 MWPTHz2022-61 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
“Beyond 5G” is expected to be an infrastructure that will play a central role in a cyber-physical society such as “Society 5.0”, Japan's vision for the future society. Autonomous control of optical communication systems is one of the key themes, and the application of machine learning technology (ML) in the optical communication domain has been increasingly attracting attention in recent years. Therefore, for readers who are considering application of ML in the field of optical communications, this paper describes the basic flow and key points for ML implementation, previous works of ML application in the field of optical communications, and, as a more advanced content, the issue of model accuracy deterioration in the continuous operation of ML and solution methods. Finally, we present the prospects for the application of ML, which the authors plan to develop in a national project for the realization of Beyond 5G. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
AI / Machine Learning / Optical Communication / Network / Operation and Management / Tutorial / Beyond 5G / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 350, PN2022-35, pp. 22-29, Jan. 2023. |
Paper # |
PN2022-35 |
Date of Issue |
2023-01-16 (PN, EMT, MWPTHz) |
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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PN2022-35 EMT2022-73 MWPTHz2022-61 |
Conference Information |
Committee |
MWPTHz PN EMT IEE-EMT |
Conference Date |
2023-01-23 - 2023-01-24 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
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Topics (in Japanese) |
(See Japanese page) |
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Paper Information |
Registration To |
PN |
Conference Code |
2023-01-MWPTHz-PN-EMT-EMT |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Application of AI Technology for Sophisticated Operation of Optical Networks |
Sub Title (in English) |
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Keyword(1) |
AI |
Keyword(2) |
Machine Learning |
Keyword(3) |
Optical Communication |
Keyword(4) |
Network |
Keyword(5) |
Operation and Management |
Keyword(6) |
Tutorial |
Keyword(7) |
Beyond 5G |
Keyword(8) |
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1st Author's Name |
Yuji Kobayashi |
1st Author's Affiliation |
NEC Corporation (NEC) |
2nd Author's Name |
Jun Kodama |
2nd Author's Affiliation |
NEC Corporation (NEC) |
3rd Author's Name |
Takehiko Mizoguchi |
3rd Author's Affiliation |
NEC Corporation (NEC) |
4th Author's Name |
Yoshiaki Sakae |
4th Author's Affiliation |
NEC Corporation (NEC) |
5th Author's Name |
Yasuhiro Ajiro |
5th Author's Affiliation |
NEC Corporation (NEC) |
6th Author's Name |
Morihiko Ota |
6th Author's Affiliation |
NEC Corporation (NEC) |
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Speaker |
Author-1 |
Date Time |
2023-01-23 15:20:00 |
Presentation Time |
50 minutes |
Registration for |
PN |
Paper # |
PN2022-35, EMT2022-73, MWPTHz2022-61 |
Volume (vol) |
vol.122 |
Number (no) |
no.350(PN), no.351(EMT), no.352(MWPTHz) |
Page |
pp.22-29 |
#Pages |
8 |
Date of Issue |
2023-01-16 (PN, EMT, MWPTHz) |
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