| Presentation | 2020-11-27 Comparative Study of Channel Estimation using Deep-learning based Super-resolution Daiki Maruyama, Kenji Kanai, Jiro Katto, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Recently, application of deep learning into communication systems are getting lots of attention to researchers. Especially, a channel estimation method by using deep learning-based image super-resolution (SR) has been proposed. Inspired by this research, we aim to propose more accurate channel estimation methods by improving deep learning-based SR network. In this paper, we apply more recent SR methods to channel estimation and evaluate the performance of several deep SR based channel estimation methods. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Channel estimation / 5G system / super-resolution / deep learning |
| Paper # | CS2020-73,IE2020-32 |
| Date of Issue | 2020-11-19 (CS, IE) |
| Conference Information | |
| Committee | IE / CS / IPSJ-AVM / ITE-BCT |
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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) | Image coding, Communications and streaming technologies, etc. |
| Chair | Hideaki Kimata(NTT) / Jun Terada(NTT) / Sei Naito(KDDI Research, Inc.) |
| Vice Chair | Kazuya Kodama(NII) / Keita Takahashi(Nagoya Univ.) / Daisuke Umehara(Kyoto Inst. of Tech.) |
| Secretary | Kazuya Kodama(KDDI Research) / Keita Takahashi(Nagoya Inst. of Tech.) / Daisuke Umehara(Mitsubishi Electric) / (NICT) / (NTT) |
| Assistant | Shunsuke Iwamura(NHK) / Shinobu Kudo(NTT) / Hiroyuki Saito(OKI) / Takahiro Yamaura(Toshiba) |
| Paper Information | |
| Registration To | Technical Committee on Image Engineering / Technical Committee on Communication Systems / Special Interest Group on Audio Visual and Multimedia Information Processing / Technical Group on Broadcasting Technology |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Comparative Study of Channel Estimation using Deep-learning based Super-resolution |
| Sub Title (in English) | |
| Keyword(1) | Channel estimation |
| Keyword(2) | 5G system |
| Keyword(3) | super-resolution |
| Keyword(4) | deep learning |
| 1st Author's Name | Daiki Maruyama |
| 1st Author's Affiliation | Waseda University(Waseda Univ.) |
| 2nd Author's Name | Kenji Kanai |
| 2nd Author's Affiliation | Waseda Research Institute for Science and Engineering(Waseda Univ.) |
| 3rd Author's Name | Jiro Katto |
| 3rd Author's Affiliation | Waseda University(Waseda Univ.) |
| Date | 2020-11-27 |
| Paper # | CS2020-73,IE2020-32 |
| Volume (vol) | vol.120 |
| Number (no) | CS-252,IE-253 |
| Page | pp.pp.39-44(CS), pp.39-44(IE), |
| #Pages | 6 |
| Date of Issue | 2020-11-19 (CS, IE) |