| Presentation | 2019-03-08 [Invited Lecture] Site Engineering and Machine Learning for Next Generation Radio Communication Systems Koji Yamamoto, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | For the efficient operation of radio communication systems, parameters should be optimized when the communication quality is formulated as a function of communication parameters. Situations with multiple decision makers can be analyzed using game theory. However, it is often difficult to formulate communication quality when assuming a specific communication protocol. Also, communication quality depends on the site-specific arrangement. Thus operations of radio communication systems require site engineering, i.e., we need to solve site-specific problems. We introduce machine learning to automate the site engineering and studies using supervised learning and reinforcement learning. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | machine learning / radio communication systems / site engineering |
| Paper # | RCS2018-321 |
| Date of Issue | 2019-02-27 (RCS) |
| 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 |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Invited Lecture] Site Engineering and Machine Learning for Next Generation Radio Communication Systems |
| Sub Title (in English) | |
| Keyword(1) | machine learning |
| Keyword(2) | radio communication systems |
| Keyword(3) | site engineering |
| 1st Author's Name | Koji Yamamoto |
| 1st Author's Affiliation | Kyoto University(Kyoto Univ.) |
| Date | 2019-03-08 |
| Paper # | RCS2018-321 |
| Volume (vol) | vol.118 |
| Number (no) | RCS-474 |
| Page | pp.pp.203-203(RCS), |
| #Pages | 1 |
| Date of Issue | 2019-02-27 (RCS) |