Paper Abstract and Keywords |
Presentation |
2023-01-25 12:20
A Study on Wireless Autoencoder for Data-Aided Channel Estimation Yoshinori Ichihashi, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Takanobu Doi, Kazushi Muraoka, Naoto Ishii (NEC), Hisato Iwai (Doshisha Univ.) IT2022-56 SIP2022-107 RCS2022-235 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In MIMO (Multiple-Input Multiple-Output) channels, when the channel matrix is obtained by the Data-Aided Channel Estimation, and then the maximum likelihood detection (MLD) is performed based on the estimated matrix, the noise covariance matrix becomes no longer a diagonal matrix, and the noise impairs the whiteness.
In signal detection under white Gaussian noise, geometric signal constellation design, which maximizes the minimum Euclidean distance, is the optimal solution in terms of minimizing the symbol error rate (SER).
However, it is not necessarily optimal for non-white Gaussian channels.
When it is analytically difficult to design the optimal signal constellation, a data-driven optimization method using a wireless autoencoder (WAE) is effective, which has a neural network for generating the signal constellation and minimizes the cross entropy between the transmission symbols and the likelihoods obtained through MLDs.
In this paper, we perform data-driven tuning of the wireless autoencoder for iterative and successive channel estimations following data-aided approaches.
Finally, the validity of the tuned WAE is confirmed by computer simulations. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Iterative channel estimation / signal constellation / autoencoder / data-driven tuning / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 122, no. 357, RCS2022-235, pp. 154-159, Jan. 2023. |
Paper # |
RCS2022-235 |
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) |
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IT2022-56 SIP2022-107 RCS2022-235 |
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) |
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Paper Information |
Registration To |
RCS |
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) |
A Study on Wireless Autoencoder for Data-Aided Channel Estimation |
Sub Title (in English) |
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Keyword(1) |
Iterative channel estimation |
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signal constellation |
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autoencoder |
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data-driven tuning |
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1st Author's Name |
Yoshinori Ichihashi |
1st Author's Affiliation |
Doshisha University (Doshisha Univ.) |
2nd Author's Name |
Shinsuke Ibi |
2nd Author's Affiliation |
Doshisha University (Doshisha Univ.) |
3rd Author's Name |
Takumi Takahashi |
3rd Author's Affiliation |
Osaka University (Osaka Univ.) |
4th Author's Name |
Takanobu Doi |
4th Author's Affiliation |
NEC Corporation (NEC) |
5th Author's Name |
Kazushi Muraoka |
5th Author's Affiliation |
NEC Corporation (NEC) |
6th Author's Name |
Naoto Ishii |
6th Author's Affiliation |
NEC Corporation (NEC) |
7th Author's Name |
Hisato Iwai |
7th Author's Affiliation |
Doshisha University (Doshisha Univ.) |
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Speaker |
Author-1 |
Date Time |
2023-01-25 12:20:00 |
Presentation Time |
25 minutes |
Registration for |
RCS |
Paper # |
IT2022-56, SIP2022-107, RCS2022-235 |
Volume (vol) |
vol.122 |
Number (no) |
no.355(IT), no.356(SIP), no.357(RCS) |
Page |
pp.154-159 |
#Pages |
6 |
Date of Issue |
2023-01-17 (IT, SIP, RCS) |
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