| Presentation | 2019-07-11 SNR estimation method using convolutional neural network Shun Kojima, Kazuki Maruta, Chang-Jun Ahn, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper proposes a novel Adaptive Modulation and Coding (AMC) scheme enabled by Convolutional Neural Network (CNN) aided Signal-to-Noise power Ratio (SNR) estimation. The Power Spectral Density (PSD) values are trained for SNR classification and it is mapped to respective Modulation and Coding Scheme (MCS) sets. Once trained, optimal MCS can be determined in low calculation complexity. The proposed approach is robust especially in high mobility environment since the PSD appearance is hardly influenced by the Doppler shift. Its effectiveness in terms of throughput is presented through computer simulations compared to the existing SNR estimation method using Neural Network (NN) based link adaptation scheme. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | CNN / AMC / SNR estimation |
| Paper # | RCC2019-38,NS2019-74,RCS2019-131,SR2019-50,SeMI2019-47 |
| 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) | SNR estimation method using convolutional neural network |
| Sub Title (in English) | |
| Keyword(1) | CNN |
| Keyword(2) | AMC |
| Keyword(3) | SNR estimation |
| 1st Author's Name | Shun Kojima |
| 1st Author's Affiliation | Chiba University(Chiba Univ.) |
| 2nd Author's Name | Kazuki Maruta |
| 2nd Author's Affiliation | Chiba University(Chiba Univ.) |
| 3rd Author's Name | Chang-Jun Ahn |
| 3rd Author's Affiliation | Chiba University(Chiba Univ.) |
| Date | 2019-07-11 |
| Paper # | RCC2019-38,NS2019-74,RCS2019-131,SR2019-50,SeMI2019-47 |
| Volume (vol) | vol.119 |
| Number (no) | RCC-106,NS-107,RCS-108,SR-109,SeMI-110 |
| Page | pp.pp.127-132(RCC), pp.153-158(NS), pp.149-154(RCS), pp.159-164(SR), pp.141-146(SeMI), |
| #Pages | 6 |
| Date of Issue | 2019-07-03 (RCC, NS, RCS, SR, SeMI) |