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Paper Abstract and Keywords
Presentation 2024-05-30 12:50
A Study of Proximal Decoding enhanced by Deep Unfolding
Asahi Ito, Lantian Wei, Tadashi Wadayama (NIT) IT2024-1 EMM2024-1
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we investigate the application of DU (Deep Unfolding) to the proximal decoding method for detecting and decoding LDPC (Low Density Parity Check) codes in MIMO (Multiple-Input Multiple-Output)channel. The Proximal Decoding is an algorithm based on the mathematical optimization technique of proximal gradient methods, which decodes by iterating between the gradient descent step and the code-proximal step. We propose DU-Proximal (Deep Unfolding Proximal Decoding), which introduces learnable parameters into the proximal decoding and optimizes these parameters using stochastic gradient descent and backpropagation, techniques from deep learning, aiming to improve error correction capabilities and convergence properties. In our experiments, we compare the performance of the proposed method with the MMSE (Minimum Mean Squared Error) signal detection method, the tanh signal detection method, and the MMSE signal detection method combined with BP (Belief Propagation) decoding. The results of the experiments reveals that performance improvements are achieved through parameter optimization by deep unfolding. Moreover, the results indicate that performance is significantly enhanced in regions of high signal-to-noise ratio.
Keyword (in Japanese) (See Japanese page) 
(in English) deep unfolding / MIMO channel / signal detection / LDPC code / proximal decoding / / /  
Reference Info. IEICE Tech. Rep., vol. 124, no. 48, IT2024-1, pp. 1-6, May 2024.
Paper # IT2024-1 
Date of Issue 2024-05-23 (IT, EMM) 
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 IT2024-1 EMM2024-1

Conference Information
Committee IT EMM  
Conference Date 2024-05-30 - 2024-05-31 
Place (in Japanese) (See Japanese page) 
Place (in English) Chiba University (Nishi-Chiba Campus) 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Information Security, Information Theory, Information Hiding, etc. 
Paper Information
Registration To IT 
Conference Code 2024-05-IT-EMM 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study of Proximal Decoding enhanced by Deep Unfolding 
Sub Title (in English)  
Keyword(1) deep unfolding  
Keyword(2) MIMO channel  
Keyword(3) signal detection  
Keyword(4) LDPC code  
Keyword(5) proximal decoding  
Keyword(6)  
Keyword(7)  
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1st Author's Name Asahi Ito  
1st Author's Affiliation Nagoya Institute of Technology (NIT)
2nd Author's Name Lantian Wei  
2nd Author's Affiliation Nagoya Institute of Technology (NIT)
3rd Author's Name Tadashi Wadayama  
3rd Author's Affiliation Nagoya Institute of Technology (NIT)
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Speaker Author-1 
Date Time 2024-05-30 12:50:00 
Presentation Time 25 minutes 
Registration for IT 
Paper # IT2024-1, EMM2024-1 
Volume (vol) vol.124 
Number (no) no.48(IT), no.49(EMM) 
Page pp.1-6 
#Pages 6 
Date of Issue 2024-05-23 (IT, EMM) 

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