| Presentation | 2022-07-27 [Invited Lecture] A Study of Rain Attenuation Prediction Method by Deep Learning Yuji Komatsuya, Tetsuro Imai, Miyuki Hirose, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, the frequency used in wireless systems has got higher significantly, such as B5G, HAPS, etc., and the importance of estimating rainfall attenuation has increased. On the other hand, It is actively to be studied estimating propagation loss using CNN that inputs map of information on the path. We think it is possible to take the same concept in the rain attenuation prediction. So we proposed a rain attenuation estimation method by CNN which inputs map of rainfall rate and path distance, and conducted prediction. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Rain Attenuation / Deep Learning / CNN |
| Paper # | AP2022-34 |
| Date of Issue | 2022-07-20 (AP) |
| Conference Information | |
| Committee | AP / SANE / SAT |
|---|---|
| Conference Date | 2022/7/27(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Asahikawa Taisetsu Crystal Hall |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Remote sensing, Sattelite Communication, Radio propagation, Antennas and Propagation |
| Chair | Hiroshi Yamada(Niigata Univ.) / Toshifumi Moriyama(Nagasaki Univ.) / Tetsushi Ikegami(Meiji Univ.) |
| Vice Chair | Mitoshi Fujimoto(Fukui Univ) / Makoto Tanaka(Tokai Univ.) / Takeshi Amishima(Meiji Univ..) / Masashi Kamei(NHK) / Takana Kaho(Shonan Inst. of Tech.) |
| Secretary | Mitoshi Fujimoto(National Defense Academy) / Makoto Tanaka(Mitsubishi Electric) / Takeshi Amishima(Mitsubishi Electric) / Masashi Kamei(ENRI) / Takana Kaho(NTT) |
| Assistant | Tomoki Murakami(NTT) / Shang Fang(Univ.. of Electro-Comm.) / Riichiro Nagareda(KDDI Research) / Yuuki Koizumi(NHK) |
| Paper Information | |
| Registration To | Technical Committee on Antennas and Propagation / Technical Committee on Space, Aeronautical and Navigational Electronics / Technical Committee on Satellite Telecommunications |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | [Invited Lecture] A Study of Rain Attenuation Prediction Method by Deep Learning |
| Sub Title (in English) | |
| Keyword(1) | Rain Attenuation |
| Keyword(2) | Deep Learning |
| Keyword(3) | CNN |
| 1st Author's Name | Yuji Komatsuya |
| 1st Author's Affiliation | Tokyo Denki University(TDU) |
| 2nd Author's Name | Tetsuro Imai |
| 2nd Author's Affiliation | Tokyo Denki University(TDU) |
| 3rd Author's Name | Miyuki Hirose |
| 3rd Author's Affiliation | Kyushu Institute of Technology(Kyutech) |
| Date | 2022-07-27 |
| Paper # | AP2022-34 |
| Volume (vol) | vol.122 |
| Number (no) | AP-135 |
| Page | pp.pp.1-5(AP), |
| #Pages | 5 |
| Date of Issue | 2022-07-20 (AP) |