| IEICE Technical Committee Submission System Conference Paper's Information |
Online Proceedings [Sign in] Tech. Rep. Archives |
| Go Top Page | Go Previous | [Japanese] / [English] |
| Paper Abstract and Keywords | ||
| Presentation | 2020-11-26 09:55 Evaluation of 5GC Network Analysis Models Using Machine Learning Junichi Kawasaki, Genichi Mouri, Yusuke Suzuki, Tomohiro Otani (KDDI/KDDI RESEARCH)  CQ2020-50 |
|
| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | The advances in network technologies such as network function virtualization (NFV) and network slicing enable flexible and quick integration of networks. However, the operation of networks using these new technologies can be challenging due to a greater number of network elements and their more complex composition. It is difficult to maintain a variety of service level agreements (SLAs) in next-generation networks by the conventional manual-based operation. To address this problem, in this paper, we adopt artificial intelligence (AI) which has been applied in many industries in this decade. We propose network analysis models using machine learning (ML) technology, and evaluate the models in the fifth generation (5G) core network. In our approach, the features for building models are derived from the time difference of the performance data collected from each node, and two types of models are created with the training data sets using the original features and those using the combined features. We evaluate the analysis performance of these two models in five failure cases. The experiment on the test network shows that the performance of the models depends on the failure cases. In particular, the analysis model trained with the combined features presents better results for the cases where a failure in one node causes some impacts in other nodes. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Failure Analysis / Root Cause Analysis / Fault Classification / 5G Core / Artificial Intelligence / Machine Leearning / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 258, CQ2020-50, pp. 16-21, Nov. 2020. | |
| Paper # | CQ2020-50 | |
| Date of Issue | 2020-11-19 (CQ) | |
| 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 | CQ2020-50 |
|
| Conference Information | |
| Committee | NS ICM CQ NV |
| 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) | Network quality, Network measurement/management, Network virtualization, Network service, Blockchain, Security, Network intelligence, etc. |
| Paper Information | |
| Registration To | CQ |
| Conference Code | 2020-11-NS-ICM-CQ-NV |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Evaluation of 5GC Network Analysis Models Using Machine Learning |
| Sub Title (in English) | |
| Keyword(1) | Failure Analysis |
| Keyword(2) | Root Cause Analysis |
| Keyword(3) | Fault Classification |
| Keyword(4) | 5G Core |
| Keyword(5) | Artificial Intelligence |
| Keyword(6) | Machine Leearning |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Junichi Kawasaki |
| 1st Author's Affiliation | KDDI CORPORATION/KDDI RESEARCH INC. (KDDI/KDDI RESEARCH) |
| 2nd Author's Name | Genichi Mouri |
| 2nd Author's Affiliation | KDDI CORPORATION/KDDI RESEARCH INC. (KDDI/KDDI RESEARCH) |
| 3rd Author's Name | Yusuke Suzuki |
| 3rd Author's Affiliation | KDDI CORPORATION/KDDI RESEARCH INC. (KDDI/KDDI RESEARCH) |
| 4th Author's Name | Tomohiro Otani |
| 4th Author's Affiliation | KDDI CORPORATION/KDDI RESEARCH INC. (KDDI/KDDI RESEARCH) |
| 5th Author's Name | |
| 5th Author's Affiliation | () |
| 6th Author's Name | |
| 6th Author's Affiliation | () |
| 7th Author's Name | |
| 7th Author's Affiliation | () |
| 8th Author's Name | |
| 8th Author's Affiliation | () |
| 9th Author's Name | |
| 9th Author's Affiliation | () |
| 10th Author's Name | |
| 10th Author's Affiliation | () |
| 11th Author's Name | |
| 11th Author's Affiliation | () |
| 12th Author's Name | |
| 12th Author's Affiliation | () |
| 13th Author's Name | |
| 13th Author's Affiliation | () |
| 14th Author's Name | |
| 14th Author's Affiliation | () |
| 15th Author's Name | |
| 15th Author's Affiliation | () |
| 16th Author's Name | |
| 16th Author's Affiliation | () |
| 17th Author's Name | |
| 17th Author's Affiliation | () |
| 18th Author's Name | |
| 18th Author's Affiliation | () |
| Speaker | Author-1 |
| Date Time | 2020-11-26 09:55:00 |
| Presentation Time | 25 minutes |
| Registration for | CQ |
| Paper # | CQ2020-50 |
| Volume (vol) | vol.120 |
| Number (no) | no.258 |
| Page | pp.16-21 |
| #Pages | 6 |
| Date of Issue | 2020-11-19 (CQ) |
[Return to Top Page]