| Presentation | 2019-03-06 Radio Environment Mapping by using Machine Learning Mina Akimoto, Xiaoyan Wang, Masahiro Umehira, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Accurate and cost-efficient radio environment mapping (REM) is of great importance to realize dynamic spectrum sharing. Two kinds of existing approaches, i.e., propagation model based approach and sensor monitoring based approach, are suffering from either inaccurate spectrum availability or high deployment cost. In order to solve these problems, this work proposes a novel REM method which uses machine learning technique to classify collected data by propagation loss and interpolate radio field intensity for a specific point. The evaluation results show that the proposed method is superior to the existing method. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Spectrum Sharing / Machine Learning / Kriging |
| Paper # | SR2018-126 |
| Date of Issue | 2019-02-27 (SR) |
| Conference Information | |
| Committee | RCS / SR / SRW |
|---|---|
| Conference Date | 2019/3/6(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | YRP |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Mobile Communication Workshop |
| Chair | Tomoaki Otsuki(Keio Univ.) / Kenta Umebayashi(Tokyo Univ. of Agric. and Tech.) / Tadao Nakagawa(Tottori Univ.) |
| Vice Chair | Eisuke Fukuda(Fujitsu Labs.) / Satoshi Suyama(NTT Docomo) / Fumiaki Maehara(Waseda Univ.) / Masayuki Ariyoshi(NEC) / Suguru Kameda(Tohoku Univ.) / Satoshi Denno(Okayama Univ.) / Makoto Hamaminato(Fujitsu labs.) |
| Secretary | Eisuke Fukuda(Hokkaido Univ.) / Satoshi Suyama(NTT) / Fumiaki Maehara(NICT) / Masayuki Ariyoshi(ATR) / Suguru Kameda(Univ. of Electro-Comm.) / Satoshi Denno(Kyoto Univ.) / Makoto Hamaminato(Tokyo Inst. of Tech.) |
| Assistant | Kazushi Muraoka(NTT Docomo) / Shinsuke Ibi(Osaka Univ.) / Hiroshi Nishimoto(Mitsubishi Electric) / Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Gia Khanh Tran(Tokyo Inst. of Tech.) / Syusuke Narieda(Mie Univ.) / Koji Ohshima(Kozo Keikaku Engineering) / Mai Ohta(Fukuoka Univ.) / Teppei Oyama(Fujitsu Lab.) / Hiromasa Yamauchi(Fujitsu labs.) / Hanako Noda(Anritsu) |
| Paper Information | |
| Registration To | Technical Committee on Radio Communication Systems / Technical Committee on Smart Radio / Technical Committee on Short Range Wireless Communications |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Radio Environment Mapping by using Machine Learning |
| Sub Title (in English) | |
| Keyword(1) | Spectrum Sharing |
| Keyword(2) | Machine Learning |
| Keyword(3) | Kriging |
| 1st Author's Name | Mina Akimoto |
| 1st Author's Affiliation | Graduate School of Science and Engineering, Ibaraki University.(Ibaraki Univ.) |
| 2nd Author's Name | Xiaoyan Wang |
| 2nd Author's Affiliation | Graduate School of Science and Engineering, Ibaraki University.(Ibaraki Univ.) |
| 3rd Author's Name | Masahiro Umehira |
| 3rd Author's Affiliation | Graduate School of Science and Engineering, Ibaraki University.(Ibaraki Univ.) |
| Date | 2019-03-06 |
| Paper # | SR2018-126 |
| Volume (vol) | vol.118 |
| Number (no) | SR-475 |
| Page | pp.pp.37-42(SR), |
| #Pages | 6 |
| Date of Issue | 2019-02-27 (SR) |