Presentation 2019-07-11
[Poster Presentation] Blind SIR Estimation by Deep Learning Using Visualized Wireless Signal Information
Kazuki Maruta, Shun Kojima, Yu Nakayama, Daisuke Hisano, Chang-Jun Ahn,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This article proposes the blind interference estimation via deep learning approach exploiting the visualized wireless signal information. Co-channel interference becomes more extensive due to frequency resource exhaustion and small cell deployment which had been triggered by mobile traffic explosion. Multi-antenna signal processing, i.e. blind adaptive array, is an effective means to suppress co-channel interference without any a priori information such as channel state information. Unfortunately, blind algorithms have their applicable regions depending on the signal-to-interference (SIR) at array input. These algorithms should be optimally selected according to interference level. Here investigates the possibility of the SIR classification by the multi-layered deep convolutional neural network. Constellation images where includes the desired and interference signals are used for model training.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Machine learning / Deep learning / Neural network / Interference estimation
Paper # RCC2019-27,NS2019-63,RCS2019-120,SR2019-39,SeMI2019-36
Date of Issue 2019-07-03 (RCC, NS, RCS, SR, SeMI)

Conference Information
Committee SeMI / RCS / NS / SR / RCC
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
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) [Poster Presentation] Blind SIR Estimation by Deep Learning Using Visualized Wireless Signal Information
Sub Title (in English)
Keyword(1) Machine learning
Keyword(2) Deep learning
Keyword(3) Neural network
Keyword(4) Interference estimation
1st Author's Name Kazuki Maruta
1st Author's Affiliation Chiba University(Chiba Univ.)
2nd Author's Name Shun Kojima
2nd Author's Affiliation Chiba University(Chiba Univ.)
3rd Author's Name Yu Nakayama
3rd Author's Affiliation Tokyo University of Agriculture and Technology(TUAT)
4th Author's Name Daisuke Hisano
4th Author's Affiliation Osaka University(Osaka Univ.)
5th Author's Name Chang-Jun Ahn
5th Author's Affiliation Chiba University(Chiba Univ.)
Date 2019-07-11
Paper # RCC2019-27,NS2019-63,RCS2019-120,SR2019-39,SeMI2019-36
Volume (vol) vol.119
Number (no) RCC-106,NS-107,RCS-108,SR-109,SeMI-110
Page pp.pp.85-86(RCC), pp.111-112(NS), pp.107-108(RCS), pp.117-118(SR), pp.99-100(SeMI),
#Pages 2
Date of Issue 2019-07-03 (RCC, NS, RCS, SR, SeMI)