| Paper Abstract and Keywords |
| Presentation |
2024-11-19 13:10
Investigation of a Synchronization and Waveform Compensator Using Deep Learning for Underwater Acoustic Communication
Yuki Oami, Haruya Ikeda, Shuji Nonaka (Tokyo Univ. of Science), Daisuke Hisano (Osaka Univ.), Kazuki Maruta (Tokyo Univ. of Science) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
As part of the scalability efforts for Beyond 5G/6G, research on underwater wireless communication is progressing.
Among these, underwater acoustic communication faces challenges in communication capacity due to frequency limitations.
Additionally, the speed of sound in water is about 1/200,000th of that of radio waves in the air, leading to significant impacts from delayed signals and Doppler effects in mobile communications.
To achieve stable, wideband communication, a large number of reference signals and synchronization signals are required, resulting in substantial overhead.
This study proposes a synchronization and waveform compensator using Deep Learning.
The proposed method aims to reduce overhead by detecting and synchronizing OFDM signals and learning to compensate for waveform stretching caused by Doppler effects |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Underwater Acoustic Communication / OFDM / Synchronization / Waveform Compensation / Deep Learning / / / |
| Reference Info. |
IEICE Tech. Rep. |
| Paper # |
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| Date of Issue |
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| Download PDF |
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| Conference Information |
| Committee |
UWT |
| Conference Date |
2024-11-19 - 2024-11-19 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
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| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Underwater Wireless Technology |
| Paper Information |
| Registration To |
UWT |
| Conference Code |
2024-11-UWT |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Investigation of a Synchronization and Waveform Compensator Using Deep Learning for Underwater Acoustic Communication |
| Sub Title (in English) |
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| Keyword(1) |
Underwater Acoustic Communication |
| Keyword(2) |
OFDM |
| Keyword(3) |
Synchronization |
| Keyword(4) |
Waveform Compensation |
| Keyword(5) |
Deep Learning |
| Keyword(6) |
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| Keyword(7) |
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| 1st Author's Name |
Yuki Oami |
| 1st Author's Affiliation |
Tokyo University of Science (Tokyo Univ. of Science) |
| 2nd Author's Name |
Haruya Ikeda |
| 2nd Author's Affiliation |
Tokyo University of Science (Tokyo Univ. of Science) |
| 3rd Author's Name |
Shuji Nonaka |
| 3rd Author's Affiliation |
Tokyo University of Science (Tokyo Univ. of Science) |
| 4th Author's Name |
Daisuke Hisano |
| 4th Author's Affiliation |
Osaka University (Osaka Univ.) |
| 5th Author's Name |
Kazuki Maruta |
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Tokyo University of Science (Tokyo Univ. of Science) |
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| Speaker |
Author-1 |
| Date Time |
2024-11-19 13:10:00 |
| Presentation Time |
25 minutes |
| Registration for |
UWT |
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| Volume (vol) |
vol. |
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