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Paper Abstract and Keywords
Presentation 2021-06-25 10:20
A Study on Deep Unfolding-Aided Quantized AMP for High-Dimensional Signal Detection
Atsunori Shimamura, Takumi Takahashi (Osaka Univ), Shinsuke Ibi (Doshisha Univ), Seiichi Sampei (Osaka Univ) RCS2021-68
Abstract (in Japanese) (See Japanese page) 
(in English) We consider a look-up table (LUT)-based multi-user detection (MUD) via quantized approximate message passing (AMP) in large multi-user multi-input multi-output (MU-MIMO) systems.
Although AMP is well known as low-complexity MUD, when internal operations are conducted with double-precision arithmetic, large memory occupancy and severe processing delay are inevitable in the actual large-scale implementation.
To address this issue, the LUT-based MUD replaces all operations with a simple LUT search and integer arithmetic, where all messages exchanged between each iteration process are unsigned integers.
This paper proposes a deep unfolding-aided approach to minimize the negative effects of quantization errors throughout the iterative process via data-driven tuning of quantization thresholds in the LUT, where the non-differentilable LUT operations are approximately replaced with soft threshold functions, enabling the tuning of the quantization thresholds via the stochastic gradient descent (SGD) and backpropagation.
Numerical results demonstrate the efficacy of the proposed method in terms of bit error rate (BER) performance and memory usage.
Keyword (in Japanese) (See Japanese page) 
(in English) Large MIMO detection / quantization / look-up table / deep unfolding / belief propagation / / /  
Reference Info. IEICE Tech. Rep., vol. 121, no. 72, RCS2021-68, pp. 226-231, June 2021.
Paper # RCS2021-68 
Date of Issue 2021-06-16 (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 RCS2021-68

Conference Information
Committee RCS  
Conference Date 2021-06-23 - 2021-06-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) First Presentation in IEICE Technical Committee, Resource Control, Scheduling, Wireless Communications, etc. 
Paper Information
Registration To RCS 
Conference Code 2021-06-RCS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study on Deep Unfolding-Aided Quantized AMP for High-Dimensional Signal Detection 
Sub Title (in English)  
Keyword(1) Large MIMO detection  
Keyword(2) quantization  
Keyword(3) look-up table  
Keyword(4) deep unfolding  
Keyword(5) belief propagation  
Keyword(6)  
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1st Author's Name Atsunori Shimamura  
1st Author's Affiliation Osaka University (Osaka Univ)
2nd Author's Name Takumi Takahashi  
2nd Author's Affiliation Osaka University (Osaka Univ)
3rd Author's Name Shinsuke Ibi  
3rd Author's Affiliation Doshisha University (Doshisha Univ)
4th Author's Name Seiichi Sampei  
4th Author's Affiliation Osaka University (Osaka Univ)
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Speaker Author-1 
Date Time 2021-06-25 10:20:00 
Presentation Time 10 minutes 
Registration for RCS 
Paper # RCS2021-68 
Volume (vol) vol.121 
Number (no) no.72 
Page pp.226-231 
#Pages 6 
Date of Issue 2021-06-16 (RCS) 

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