Presentation | 2019-07-11 Deep learning-based classification for the automatic of eNodeB state management in LTE networks Kazuki Hara, Kohei Shiomoto, Chin Lam Eng, Sebastian Backstad, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | It is crucial to identify the cause immediately when a failure occurs at base station of mobile communication. However, A huge amount of log data generated from the base station prevents the human operator to quickly identify the cause of failure. In this paper, we propose a method that employs machine learning algorithms to analyze KPI data generated from eNodeB and classify the status of the eNodeB. we used deep learning based on artificial neural networks. The result showed that our approach can realize about 94% accuracy. Furthermore, we proposed using AdversalialAutoencoder, which is a semi-supervised learning method. The AAE yields high accuracy even for the class with a small amount of labeled data. In addition, We evaluate the relathionship between the number of labeled data and the accuracy. We discover that the proposed method yields the accuracy of 90% with the 50 labels for each class. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | LTE network / Machine learning / Deep learning / Semi-supervised learning / Adversarial Autoencoder |
Paper # | RCC2019-41,NS2019-77,RCS2019-134,SR2019-53,SeMI2019-50 |
Date of Issue | 2019-07-03 (RCC, NS, RCS, SR, SeMI) |
Conference Information | |
Committee | SeMI / RCS / NS / SR / RCC |
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Conference Date | 2019/7/10(3days) |
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 |
Chair | Susumu Ishihara(Shizuoka Univ.) / Tomoaki Otsuki(Keio Univ.) / Yoshikatsu Okazaki(NTT) / Masayuki Ariyoshi(NEC) / Kazunori Hayashi(Osaka City Univ.) |
Vice Chair | Kazuya Monden(Hitachi) / Koji Yamamoto(Kyoto Univ.) / Satoshi Suyama(NTT DoCoMo) / Fumiaki Maehara(Waseda Univ.) / Toshihiko Nishimura(Hokkaido Univ.) / Akihiro Nakao(Univ. of Tokyo) / Suguru Kameda(Tohoku Univ.) / Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) / Shunichi Azuma(Nagoya Univ.) / HUAN-BANG LI(NICT) |
Secretary | Kazuya Monden(Kyoto Univ.) / Koji Yamamoto(NTT DOCOMO) / Satoshi Suyama(Hitachi) / Fumiaki Maehara(NTT) / Toshihiko Nishimura(Kyushu Univ.) / Akihiro Nakao(Osaka Pref Univ.) / Suguru Kameda(NTT) / Osamu Takyu(ATR) / Kentaro Ishidu(Univ. of Electro-Comm.) / Shunichi Azuma(Mie Univ.) / HUAN-BANG LI(Kagawa Univ.) |
Assistant | Akira Uchiyama(Osaka Univ.) / Kenji Kanai(Waseda Univ.) / Masafumi Hashimoto(Osaka Univ.) / Kazushi Muraoka(NTT DOCOMO) / Shinsuke Ibi(Doshisha Univ.) / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Shinya Kumagai(Fujitsu) / Shinya Kawano(NTT) / Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu) / Kentaro Kobayashi(Nagoya Univ.) / Toshinori Kagawa(NICT) / Masateru Ogura(NAIST) |
Paper Information | |
Registration To | Technical Committee on Sensor Network and Mobile Intelligence / Technical Committee on Radio Communication Systems / Technical Committee on Network Systems / Technical Committee on Smart Radio / Technical Committee on Reliable Communication and Control |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Deep learning-based classification for the automatic of eNodeB state management in LTE networks |
Sub Title (in English) | |
Keyword(1) | LTE network |
Keyword(2) | Machine learning |
Keyword(3) | Deep learning |
Keyword(4) | Semi-supervised learning |
Keyword(5) | Adversarial Autoencoder |
1st Author's Name | Kazuki Hara |
1st Author's Affiliation | Tsukuba University(Tsukuba Univ.) |
2nd Author's Name | Kohei Shiomoto |
2nd Author's Affiliation | Tokyo City University(TCU) |
3rd Author's Name | Chin Lam Eng |
3rd Author's Affiliation | Ericsson Japan(Ericsson Japan) |
4th Author's Name | Sebastian Backstad |
4th Author's Affiliation | Ericsson Japan(Ericsson Japan) |
Date | 2019-07-11 |
Paper # | RCC2019-41,NS2019-77,RCS2019-134,SR2019-53,SeMI2019-50 |
Volume (vol) | vol.119 |
Number (no) | RCC-106,NS-107,RCS-108,SR-109,SeMI-110 |
Page | pp.pp.145-150(RCC), pp.171-176(NS), pp.167-172(RCS), pp.177-182(SR), pp.159-164(SeMI), |
#Pages | 6 |
Date of Issue | 2019-07-03 (RCC, NS, RCS, SR, SeMI) |