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Paper Abstract and Keywords
Presentation 2020-07-16 11:20
User Identification and Channel Estimation by Iterative DNN-Based Decoder on Multiple-Access Fading Channel
Lantian Wei, Shan Lu, Hiroshi Kamabe (Gifu Univ.), Jun Cheng (Doshisha Univ.) IT2020-12
Abstract (in Japanese) (See Japanese page) 
(in English) The user identification scheme for multiple-access fading channel based on the random generated (0,1,-1)-signature code is considered.
In the previous works, the signature code was used over a noisy multiple-access adder channel and only the status of uses are decoded by the signature decoder.
In this paper, by considering the communication model as a compressed sensing process, it is possible to estimate the channel coefficients while identifying users.
To improve the efficiency of the decoding process, we proposed an iterative deep-neural-network(DNN)-based decoder.
Our simulation results show that for the random generated (0,1,-1)-signature code, our proposed DNN-based decoder requires less computing time to achieve higher active user detection accuracy and channel estimation accuracy than the classical signal recovery algorithm used in compressed sensing.
Keyword (in Japanese) (See Japanese page) 
(in English) signature code / deep neural network / compressed sensing / user identification / channel estimation / / /  
Reference Info. IEICE Tech. Rep., vol. 120, no. 105, IT2020-12, pp. 7-12, July 2020.
Paper # IT2020-12 
Date of Issue 2020-07-09 (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 IT2020-12

Conference Information
Committee IT  
Conference Date 2020-07-16 - 2020-07-16 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Freshman session, General 
Paper Information
Registration To IT 
Conference Code 2020-07-IT 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) User Identification and Channel Estimation by Iterative DNN-Based Decoder on Multiple-Access Fading Channel 
Sub Title (in English)  
Keyword(1) signature code  
Keyword(2) deep neural network  
Keyword(3) compressed sensing  
Keyword(4) user identification  
Keyword(5) channel estimation  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Lantian Wei  
1st Author's Affiliation Gifu University (Gifu Univ.)
2nd Author's Name Shan Lu  
2nd Author's Affiliation Gifu University (Gifu Univ.)
3rd Author's Name Hiroshi Kamabe  
3rd Author's Affiliation Gifu University (Gifu Univ.)
4th Author's Name Jun Cheng  
4th Author's Affiliation Doshisha University (Doshisha Univ.)
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Speaker Author-1 
Date Time 2020-07-16 11:20:00 
Presentation Time 25 minutes 
Registration for IT 
Paper # IT2020-12 
Volume (vol) vol.120 
Number (no) no.105 
Page pp.7-12 
#Pages 6 
Date of Issue 2020-07-09 (IT) 

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