| Presentation | 2022-03-02 Pilot Pattern Design Method using Autoencoder for CDL Channels Yuta Yamada, Tomoaki Ohtsuki, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In the pilot-based channel estimations, a large number of pilot signals enable an improvement in the channel estimation accuracy but force a decrease in the data transmission efficiency. Therefore, the pilot pattern design schemes on the resource grid have been researched to achieve high channel estimation accuracy with a small number of pilot signals. In the conventional scheme for pilot pattern design, the autoencoder which enables discrete feature selection is utilized to design pilot patterns for Vehicular-A channels. However, the pilot pattern for other channels is not reported, and it is not clear this scheme has good performance compared to uniform pilot patterns. In this report, we derive the pilot pattern for CDL (Clustered Delay Line) channels specified in the 5G (5th Generation Mobile Communication System) standard using the autoencoder-based pilot pattern design scheme. Through computer simulation, we show that the autoencoder-based pilot patterns improve the channel estimation accuracy compared to the uniform pilot pattern. We also derive the pilot patterns for CDL-A and CDL-D, which model respectively NLOS (Non-Line-of-Sight) and LOS (Line-of-Sight) environments, with different three speeds of UE (User Equipment), and we evaluate the pilot pattern and channel estimation accuracy based on the existence of LOS paths and the speed of UE. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Channel Estimation / Deep Learning / Feature Selection |
| Paper # | RCS2021-253 |
| Date of Issue | 2022-02-23 (RCS) |
| Conference Information | |
| Committee | RCS / SR / SRW |
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| Conference Date | 2022/3/2(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Mobile Communication Workshop |
| Chair | Eiji Okamoto(Nagoya Inst. of Tech.) / Suguru Kameda(Hiroshima Univ.) / Hanako Noda(Anritsu) |
| Vice Chair | Toshihiko Nishimura(Hokkaido Univ.) / Tomoya Tandai(Toshiba) / Fumihide Kojima(NICT) / Osamu Takyu(Shinshu Univ.) / Kentaro Ishidu(NICT) / Kazuto Yano(ATR) / Keiichi Mizutani(Kyoto Univ.) / Kentaro Saito(Tokyo Denki Univ.) / Hirokazu Sawada(NICT) |
| Secretary | Toshihiko Nishimura(NEC) / Tomoya Tandai(Panasonic) / Fumihide Kojima(Mie Univ.) / Osamu Takyu(Tokai Univ.) / Kentaro Ishidu(NTT) / Kazuto Yano(NTT) / Keiichi Mizutani(NIigata Univ.) / Kentaro Saito / Hirokazu Sawada |
| Assistant | Koichi Adachi(Univ. of Electro-Comm.) / Osamu Nakamura(Sharp) / Manabu Sakai(Mitsubishi Electric) / Masashi Iwabuchi(NTT) / Tatsuki Okuyama(NTT DOCOMO) / Mai Ohta(Fukuoka Univ.) / Taichi Ohtsuji(NEC) / WANG Xiaoyan(Ibaraki Univ.) / Akemi Tanaka(MathWorks) / Akihito Noda(Nanzan Univ.) |
| 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 | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Pilot Pattern Design Method using Autoencoder for CDL Channels |
| Sub Title (in English) | |
| Keyword(1) | Channel Estimation |
| Keyword(2) | Deep Learning |
| Keyword(3) | Feature Selection |
| 1st Author's Name | Yuta Yamada |
| 1st Author's Affiliation | Keio University(Keio Univ.) |
| 2nd Author's Name | Tomoaki Ohtsuki |
| 2nd Author's Affiliation | Keio University(Keio Univ.) |
| Date | 2022-03-02 |
| Paper # | RCS2021-253 |
| Volume (vol) | vol.121 |
| Number (no) | RCS-391 |
| Page | pp.pp.13-18(RCS), |
| #Pages | 6 |
| Date of Issue | 2022-02-23 (RCS) |