| Presentation | 2020-11-26 [Poster Presentation] A Study on SCMA/OFDMA System Selection Employing Deep Learning Based on User Position Information Yuta Kumagai, Naoya Gonda, Yukiko Shimbo, Hirofumi Suganuma, Fumiaki Maehara, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | SCMA / OFDMA / user position information / deep learning / system throughput |
| Paper # | SRW2020-33 |
| Date of Issue | 2020-11-19 (SRW) |
| Conference Information | |
| Committee | SRW / SeMI / CNR |
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| Conference Date | 2020/11/26(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | IoT Workshop |
| Chair | Satoshi Denno(Okayama Univ.) / Susumu Ishihara(Shizuoka Univ.) / Kazunori Takashio(Keio Univ.) |
| Vice Chair | Keiichi Mizutani(Kyoto Univ.) / Kentaro Saito(Tokyo Inst. of Tech.) / Hanako Noda(Anritsu) / Kazuya Monden(Hitachi) / Koji Yamamoto(Kyoto Univ.) / Masayuki Kanbara(NAIST) / Yoshihiko Murakawa(Fujitsu Labs.) |
| Secretary | Keiichi Mizutani(NTT) / Kentaro Saito(NIigata Univ.) / Hanako Noda(Kyoto Univ.) / Kazuya Monden(Osaka Univ.) / Koji Yamamoto(Hitachi) / Masayuki Kanbara(Waseda Univ.) / Yoshihiko Murakawa(Shibaura Inst. of Tech.) |
| Assistant | Masaaki Fuse(Anritsu) / Akihito Noda(Nanzan Univ.) / Yuki Katsumata(NTT DOCOMO) / Yu Nakayama(Tokyo Univ. of Agri. and Tech.) / Akira Uchiyama(Osaka Univ.) / Yuka Kobayashi(Toshiba) / Masanori Yokoyama(ＮＴＴ) |
| Paper Information | |
| Registration To | Technical Committee on Short Range Wireless Communications / Technical Committee on Sensor Network and Mobile Intelligence / Technical Committee on Cloud Network Robotics |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Poster Presentation] A Study on SCMA/OFDMA System Selection Employing Deep Learning Based on User Position Information |
| Sub Title (in English) | |
| Keyword(1) | SCMA |
| Keyword(2) | OFDMA |
| Keyword(3) | user position information |
| Keyword(4) | deep learning |
| Keyword(5) | system throughput |
| 1st Author's Name | Yuta Kumagai |
| 1st Author's Affiliation | Waseda University(Waseda Univ.) |
| 2nd Author's Name | Naoya Gonda |
| 2nd Author's Affiliation | Waseda University(Waseda Univ.) |
| 3rd Author's Name | Yukiko Shimbo |
| 3rd Author's Affiliation | Waseda University(Waseda Univ.) |
| 4th Author's Name | Hirofumi Suganuma |
| 4th Author's Affiliation | Waseda University(Waseda Univ.) |
| 5th Author's Name | Fumiaki Maehara |
| 5th Author's Affiliation | Waseda University(Waseda Univ.) |
| Date | 2020-11-26 |
| Paper # | SRW2020-33 |
| Volume (vol) | vol.120 |
| Number (no) | SRW-260 |
| Page | pp.pp.40-41(SRW), |
| #Pages | 2 |
| Date of Issue | 2020-11-19 (SRW) |