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Paper Abstract and Keywords
Presentation 2024-01-18 16:10
A Study on Autoencoder for Iterative Signal Detection in MIMO Channels
Yoshinori Ichihashi, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.) IT2023-52 SIP2023-85 RCS2023-227
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we apply deep unfolding to uplink signal detection via probabilistic data association (PDA) and configure the modulator as a neural network (NN). The entire communication system including these components is configured as an autoencoder to improve PDA detection performance.
As a signal detection method for multiple-input multiple-output (MIMO) communications, PDA, a type of statistical iterative signal detection scheme, is effective in terms of computational complexity and detection accuracy.
PDA is not expected to improve the convergence property by propagating external values, and the detection performance may be degraded by outliers in the soft estimates (replicas) of the transmitted signal.
Adaptively scaled belief (ASB) has been reported as an effective countermeasure.
In this paper, we apply deep unfolding, a type of deep learning, to PDA to optimize the scaling factor of ASB, and design a signal constellation that suppresses the soft replica outliers by configuring the modulator with NN.
The entire communication system, including the transmitter and receiver, is configured as the autoencoder to improve the symbol error rate (SER).
Keyword (in Japanese) (See Japanese page) 
(in English) MIMO / iterative signal processing / PDA / scaling / signal constellation / deep unfolding / autoencoder /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 340, RCS2023-227, pp. 115-120, Jan. 2024.
Paper # RCS2023-227 
Date of Issue 2024-01-11 (IT, SIP, RCS) 
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 IT2023-52 SIP2023-85 RCS2023-227

Conference Information
Committee SIP IT RCS  
Conference Date 2024-01-18 - 2024-01-19 
Place (in Japanese) (See Japanese page) 
Place (in English)  
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To RCS 
Conference Code 2024-01-SIP-IT-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Autoencoder for Iterative Signal Detection in MIMO Channels 
Sub Title (in English)  
Keyword(1) MIMO  
Keyword(2) iterative signal processing  
Keyword(3) PDA  
Keyword(4) scaling  
Keyword(5) signal constellation  
Keyword(6) deep unfolding  
Keyword(7) autoencoder  
Keyword(8)  
1st Author's Name Yoshinori Ichihashi  
1st Author's Affiliation Doshisha University (Doshisha Univ.)
2nd Author's Name Shinsuke Ibi  
2nd Author's Affiliation Doshisha University (Doshisha Univ.)
3rd Author's Name Takumi Takahashi  
3rd Author's Affiliation Osaka University (Osaka Univ.)
4th Author's Name Hisato Iwai  
4th Author's Affiliation Doshisha University (Doshisha Univ.)
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Speaker Author-1 
Date Time 2024-01-18 16:10:00 
Presentation Time 25 minutes 
Registration for RCS 
Paper # IT2023-52, SIP2023-85, RCS2023-227 
Volume (vol) vol.123 
Number (no) no.338(IT), no.339(SIP), no.340(RCS) 
Page pp.115-120 
#Pages 6 
Date of Issue 2024-01-11 (IT, SIP, RCS) 

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