| Presentation | 2020-03-05 An Application of Deep Learning to CoMP Transmission Employing Vehicle Position Information in Taxi Radio Systems Kazuki Kojima, 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) | This report proposes a coordinated multi-point (CoMP) transmission method based on deep learning for taxi radio systems to prevent inter-cell interference (ICI). In CoMP, it is essential to select whether to use simultaneous transmission or time division multiplexing (TDM) considering the effect of the ICI. The feature of the proposed method is to determine such a transmission mode by using vehicle position information as taxi radio systems have such position information. Moreover, the proposed method makes it possible to avoid the online system capacity calculation also required for CoMP thanks to the use of deep learning. The effectiveness of the proposed method is demonstrated in comparison with a traditional online calculation method under the practical scenario based on the taxi radio system in Japan. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | taxi radio systems / multi-cell / coordinated multi-point (CoMP) / vehicle position information / deep learning |
| Paper # | RCS2019-355 |
| Date of Issue | 2020-02-26 (RCS) |
| Conference Information | |
| Committee | RCS / SR / SRW |
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| 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 |
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| Language | ENG-JTITLE |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An Application of Deep Learning to CoMP Transmission Employing Vehicle Position Information in Taxi Radio Systems |
| Sub Title (in English) | |
| Keyword(1) | taxi radio systems |
| Keyword(2) | multi-cell |
| Keyword(3) | coordinated multi-point (CoMP) |
| Keyword(4) | vehicle position information |
| Keyword(5) | deep learning |
| 1st Author's Name | Kazuki Kojima |
| 1st Author's Affiliation | Waseda University(Waseda Univ.) |
| 2nd Author's Name | Yukiko Shimbo |
| 2nd Author's Affiliation | Waseda University(Waseda Univ.) |
| 3rd Author's Name | Hirofumi Suganuma |
| 3rd Author's Affiliation | Waseda University(Waseda Univ.) |
| 4th Author's Name | Fumiaki Maehara |
| 4th Author's Affiliation | Waseda University(Waseda Univ.) |
| Date | 2020-03-05 |
| Paper # | RCS2019-355 |
| Volume (vol) | vol.119 |
| Number (no) | RCS-448 |
| Page | pp.pp.189-193(RCS), |
| #Pages | 5 |
| Date of Issue | 2020-02-26 (RCS) |