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Paper Abstract and Keywords
Presentation 2024-03-22 15:25
Study of AI Model Training Method Using Network Digital Twin in Scale-out 5GC Environment
Daiki Koyama, Minato Sakuraba, Junichi Kawasaki, Takuya Miyasaka (KDDI Research) ICM2023-62
Abstract (in Japanese) (See Japanese page) 
(in English) This technical report proposes a method for building AI models for network operations by utilizing the network digital twin in a 5GC environment. In the network digital twin environment, we build a minimum scale-out 5GC NF for building AI models, conduct tests that are difficult to conduct on commercial networks in this environment and build AI models based on operational data sets obtained through the tests. In the scale-out 5GC environment using free5GC and Kubernetes, we evaluate the application of the AI model across different network sizes (number of pods) and report the results.
Keyword (in Japanese) (See Japanese page) 
(in English) AIOps / Anomaly Detection / 5G / 5GC / Network Digital Twin / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 449, ICM2023-62, pp. 89-94, March 2024.
Paper # ICM2023-62 
Date of Issue 2024-03-14 (ICM) 
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)
Download PDF ICM2023-62

Conference Information
Committee ICM  
Conference Date 2024-03-21 - 2024-03-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Okinawa Prefectural Museum and Art Museum 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To ICM 
Conference Code 2024-03-ICM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Study of AI Model Training Method Using Network Digital Twin in Scale-out 5GC Environment 
Sub Title (in English)  
Keyword(1) AIOps  
Keyword(2) Anomaly Detection  
Keyword(3) 5G  
Keyword(4) 5GC  
Keyword(5) Network Digital Twin  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Daiki Koyama  
1st Author's Affiliation KDDI Research, Inc. (KDDI Research)
2nd Author's Name Minato Sakuraba  
2nd Author's Affiliation KDDI Research, Inc. (KDDI Research)
3rd Author's Name Junichi Kawasaki  
3rd Author's Affiliation KDDI Research, Inc. (KDDI Research)
4th Author's Name Takuya Miyasaka  
4th Author's Affiliation KDDI Research, Inc. (KDDI Research)
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Speaker Author-1 
Date Time 2024-03-22 15:25:00 
Presentation Time 20 minutes 
Registration for ICM 
Paper # ICM2023-62 
Volume (vol) vol.123 
Number (no) no.449 
Page pp.89-94 
#Pages 6 
Date of Issue 2024-03-14 (ICM) 

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