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Paper Abstract and Keywords
Presentation 2023-08-04 09:30
Deep Unfolding-based Distributed MIMO Detection
Masaya Kumagai, Ayano Nakai-Kasai, Tadashi Wadayama (NITech) IT2023-21
Abstract (in Japanese) (See Japanese page) 
(in English) This paper proposes a distributed multiple-input multiple-output signal detection algorithm based on DU (deep unfolding), which is known as the optimizing method of parameters involved in an iterative algorithm by using commonly used deep learning techniques such as backpropagation and stochastic gradient descent. 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). In applications where SPUs are located distributedly, SPUs are placed under heterogeneous SNR (signal-to-noise ratio) environments depending on geographical location and distances from transmitters. We introduce weighting parameters corresponding to each SPU into the aggregation process of the proposed method to incorporate the heterogeneous SNR environments into the detection algorithm.In addtion, we apply DU to optimize the parameters and obtain improvement of the detection perfomance.Results of numerical experiments indicate that the proposed method with the parameters learned by DU improves detection performance by appropriately tuning the weighting parameters according to the heterogeneous SNR environments.
Keyword (in Japanese) (See Japanese page) 
(in English) MIMO communication / signal detection / deep unfolding / distributed processing / / / /  
Reference Info. IEICE Tech. Rep., vol. 123, no. 149, IT2023-21, pp. 38-43, Aug. 2023.
Paper # IT2023-21 
Date of Issue 2023-07-27 (IT) 
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 IT2023-21

Conference Information
Committee IT  
Conference Date 2023-08-03 - 2023-08-04 
Place (in Japanese) (See Japanese page) 
Place (in English) Shonan Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Freshman session, General 
Paper Information
Registration To IT 
Conference Code 2023-08-IT 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Deep Unfolding-based Distributed MIMO Detection 
Sub Title (in English)  
Keyword(1) MIMO communication  
Keyword(2) signal detection  
Keyword(3) deep unfolding  
Keyword(4) distributed processing  
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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 2023-08-04 09:30:00 
Presentation Time 25 minutes 
Registration for IT 
Paper # IT2023-21 
Volume (vol) vol.123 
Number (no) no.149 
Page pp.38-43 
#Pages 6 
Date of Issue 2023-07-27 (IT) 

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