| Presentation | 2023-10-19 [Poster Presentation] A Study on Effective Output Layer for DCNN-Based Channel Prediction Model Kazuki Takahashi, Tetsuro Imai, Miyuki Hirose, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The next-generation mobile communication systems (B5G / 6G) currently under consideration require further improvements in frequency utilization efficiency and power efficiency, which require highly accurate propagation models. We have proposed a propagation loss estimation model using DCNN. However, to evaluate system performance, it is necessary not only to estimate propagation loss but also a channel model that can estimate the delay time and arrival angle of the path between the transmitter and receiver. Therefore, the authors have also proposed a channel estimation model using DCNN. In this paper, we report a study on how to create an effective Output Layer for a channel estimation model using DCNN, based on the proposed model. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Deep Learning / Machine Learning / mobile communications / Radio propagation analysis / channel estimation |
| Paper # | AP2023-94 |
| Date of Issue | 2023-10-12 (AP) |
| Conference Information | |
| Committee | AP |
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| Conference Date | 2023/10/19(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Iwate University |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Student Session, Antennas and Propagation |
| Chair | Kunio Sakakibara(Nagoya Inst. of Tech.) |
| Vice Chair | YUAN Qiaowei(Tohoku Inst. of Tech.) |
| Secretary | YUAN Qiaowei(Iwate Univ.) |
| Assistant | Tomoki Murakami(NTT) |
| Paper Information | |
| Registration To | Technical Committee on Antennas and Propagation |
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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 Effective Output Layer for DCNN-Based Channel Prediction Model |
| Sub Title (in English) | |
| Keyword(1) | Deep Learning |
| Keyword(2) | Machine Learning |
| Keyword(3) | mobile communications |
| Keyword(4) | Radio propagation analysis |
| Keyword(5) | channel estimation |
| 1st Author's Name | Kazuki Takahashi |
| 1st Author's Affiliation | Tokyo Denki University(Tokyo Denki Univ.) |
| 2nd Author's Name | Tetsuro Imai |
| 2nd Author's Affiliation | Tokyo Denki University(Tokyo Denki Univ.) |
| 3rd Author's Name | Miyuki Hirose |
| 3rd Author's Affiliation | Kyushu Institute of Technology(Kyushu Institute of Technology) |
| Date | 2023-10-19 |
| Paper # | AP2023-94 |
| Volume (vol) | vol.123 |
| Number (no) | AP-223 |
| Page | pp.pp.32-36(AP), |
| #Pages | 5 |
| Date of Issue | 2023-10-12 (AP) |