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Paper Abstract and Keywords
Presentation 2023-01-24 15:55
Deep Unfolding-based Weighting in Distributed MIMO Detection
Masaya Kumagai, Ayano Nakai-Kasai, Tadashi Wadayama (NITech) IT2022-49 SIP2022-100 RCS2022-228
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes distributed uplink MIMO (Multiple-Input Multiple-Output) signal detection algorithms based on DU (deep unfolding) . In the distributed system, multiple distributed SPUs (sub processing units) having multiple antennas execute an iterative signal processing process to detect transmitted signals in cooperation with a CPU (central processing unit). SPUs are in different noise environments depending on the places they are located. We introduce weighting parameters for each SPU into the proposed method in order to improve performance under those environments. In addition, we apply DU to the weights to obtain further improvement of the performance. DU is a method for optimizing parameters involved in an iterative algorithm by using commonly used techniques in deep learning such as backpropagation and stochastic gradient descent. We show experimental results of the performance comparison of the proposed method with conventional methods. The results indicate that the proposed method with the weighting parameters learned by DU improve the detection performance in the different noise environments.
Keyword (in Japanese) (See Japanese page) 
(in English) MIMO channel / signal detection / distributed processing / deep unfolding / / / /  
Reference Info. IEICE Tech. Rep., vol. 122, no. 356, SIP2022-100, pp. 114-119, Jan. 2023.
Paper # SIP2022-100 
Date of Issue 2023-01-17 (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 IT2022-49 SIP2022-100 RCS2022-228

Conference Information
Committee IT RCS SIP  
Conference Date 2023-01-24 - 2023-01-25 
Place (in Japanese) (See Japanese page) 
Place (in English) Maebashi Terrsa 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To SIP 
Conference Code 2023-01-IT-RCS-SIP 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Deep Unfolding-based Weighting in Distributed MIMO Detection 
Sub Title (in English)  
Keyword(1) MIMO channel  
Keyword(2) signal detection  
Keyword(3) distributed processing  
Keyword(4) deep unfolding  
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1st Author's Name Masaya Kumagai  
1st Author's Affiliation Nagoya Institute of Technology (NITech)
2nd Author's Name Ayano Nakai-Kasai  
2nd Author's Affiliation Nagoya Institute of Technology (NITech)
3rd Author's Name Tadashi Wadayama  
3rd Author's Affiliation Nagoya Institute of Technology (NITech)
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Speaker Author-1 
Date Time 2023-01-24 15:55:00 
Presentation Time 25 minutes 
Registration for SIP 
Paper # IT2022-49, SIP2022-100, RCS2022-228 
Volume (vol) vol.122 
Number (no) no.355(IT), no.356(SIP), no.357(RCS) 
Page pp.114-119 
#Pages 6 
Date of Issue 2023-01-17 (IT, SIP, RCS) 

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