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| Presentation | 2021-03-05 09:30 Quaternion neural networks for channel prediction including polarization states Haotian Chen, Ryo Natsuaki, Akira Hirose (Tokyo Univ.)  NC2020-64 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Fading channel compensation requires channel prediction because channels change in time. In this paper, we propose a fading channel prediction technique using quaternion neural networks (QNN) to predict the polarization states in combination with complex-valued neural networks (CVNN) to predict the amplitude and phase of diverse fading channels. We evaluate the performance of the proposed prediction technique in two different fading situations in an actual communication environment to find its superiority to conventional techniques. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | channel / prediction / quaternion / polarization state / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 120, no. 403, NC2020-64, pp. 121-126, March 2021. | |
| Paper # | NC2020-64 | |
| Date of Issue | 2021-02-24 (NC) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | NC2020-64 |
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| Conference Information | |
| Committee | NC MBE |
| Conference Date | 2021-03-03 - 2021-03-05 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Neuro Computing, Medical Engineering, etc. |
| Paper Information | |
| Registration To | NC |
| Conference Code | 2021-03-NC-MBE |
| Language | English (Japanese title is available) |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Quaternion neural networks for channel prediction including polarization states |
| Sub Title (in English) | |
| Keyword(1) | channel |
| Keyword(2) | prediction |
| Keyword(3) | quaternion |
| Keyword(4) | polarization state |
| Keyword(5) | |
| Keyword(6) | |
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| Keyword(8) | |
| 1st Author's Name | Haotian Chen |
| 1st Author's Affiliation | The University of Tokyo (Tokyo Univ.) |
| 2nd Author's Name | Ryo Natsuaki |
| 2nd Author's Affiliation | The University of Tokyo (Tokyo Univ.) |
| 3rd Author's Name | Akira Hirose |
| 3rd Author's Affiliation | The University of Tokyo (Tokyo Univ.) |
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| Speaker | Author-1 |
| Date Time | 2021-03-05 09:30:00 |
| Presentation Time | 25 minutes |
| Registration for | NC |
| Paper # | NC2020-64 |
| Volume (vol) | vol.120 |
| Number (no) | no.403 |
| Page | pp.121-126 |
| #Pages | 6 |
| Date of Issue | 2021-02-24 (NC) |
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