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Paper Abstract and Keywords
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
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
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

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  
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 
Date of Issue 2021-02-24 (NC) 

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