| Presentation | 2020-03-04 [Technology Exhibit] Utilizing Deep Learning for Wireless Communications Akemi Tanaka, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, deep learning has been applied and put to practical use in various fields. Application to wireless communication systems is also being studied but the problem that it cannot be tried immediately because of the need for specialized knowledge and labor and few examples of handling time-series data. Therefore, this paper describes an example of application to a wireless communication system using the workflow of deep learning provided by MATLAB?. Specifically, we introduce examples of classifying signal waveforms modulated by various modulation methods using CNN, which is a deep neural network for images. In addition, we evaluate the classification performance by simulation and describe the experimental results of classification using real signals using the software defined radio ADALM-PLUTO. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Software defined radio / Wireless communication / Deep Learning |
| Paper # | RCS2019-329,SR2019-113,SRW2019-59 |
| Date of Issue | 2020-02-26 (RCS, SR, SRW) |
| Conference Information | |
| Committee | RCS / SR / SRW |
|---|---|
| Conference Date | 2020/3/4(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Tokyo Institute of Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Mobile Communication Workshop |
| Chair | Tomoaki Otsuki(Keio Univ.) / Masayuki Ariyoshi(NEC) / Satoshi Denno(Okayama Univ.) |
| Vice Chair | Satoshi Suyama(NTT DoCoMo) / Fumiaki Maehara(Waseda Univ.) / Toshihiko Nishimura(Hokkaido Univ.) / Suguru Kameda(Tohoku Univ.) / Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) / Keiichi Mizutani(Kyoto Univ.) |
| Secretary | Satoshi Suyama(NTT) / Fumiaki Maehara(Kyushu Univ.) / Toshihiko Nishimura(ATR) / Suguru Kameda(Univ. of Electro-Comm.) / Osamu Takyu(Mie Univ.) / Kentaro Ishidu(Tokyo Inst. of Tech.) / Keiichi Mizutani(Anritsu) |
| Assistant | Kazushi Muraoka(NEC) / Shinsuke Ibi(Doshisha Univ.) / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Manabu Sakai(Mitsubishi Electric) / Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu Lab.) / Kentaro Kobayashi(Nagoya Univ.) / Masaaki Fuse(Anritsu) / Tomoki Murakami(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Radio Communication Systems / Technical Committee on Smart Radio / Technical Committee on Short Range Wireless Communications |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Technology Exhibit] Utilizing Deep Learning for Wireless Communications |
| Sub Title (in English) | Modulation Method Classification using CNN |
| Keyword(1) | Software defined radio |
| Keyword(2) | Wireless communication |
| Keyword(3) | Deep Learning |
| 1st Author's Name | Akemi Tanaka |
| 1st Author's Affiliation | MathWorks(MathWorks) |
| Date | 2020-03-04 |
| Paper # | RCS2019-329,SR2019-113,SRW2019-59 |
| Volume (vol) | vol.119 |
| Number (no) | RCS-448,SR-449,SRW-450 |
| Page | pp.pp.51-54(RCS), pp.3-6(SR), pp.3-6(SRW), |
| #Pages | 4 |
| Date of Issue | 2020-02-26 (RCS, SR, SRW) |