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Paper Abstract and Keywords
Presentation 2022-02-17 13:00
Autoencoder-based Pilot Pattern Design for CDL Channels
Yuta Yamada, Tomoaki Ohtsuki (Keio Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) In the pilot-based channel estimations, a large number of pilot signals enable an improvement in the channel estimation accuracy but force a decrease in the data transmission efficiency. Therefore, the pilot pattern design schemes on the resource grid have been researched to achieve high channel estimation accuracy with a small number of pilot signals. In the conventional scheme for pilot pattern design, the autoencoder which enables discrete feature selection is utilized to design pilot patterns for Vehicular-A channels. However, the pilot pattern for other channels is not reported, and it is not clear this scheme has good performance compared to uniform pilot patterns. In this report, we derive the pilot pattern for CDL (Clustered Delay Line) channels specified in the 5G (5th Generation Mobile Communication System) standard using the autoencoder-based pilot pattern design scheme. Through computer simulation, we show that the autoencoder-based pilot patterns improve the channel estimation accuracy compared to the uniform pilot pattern. We also evaluate the pilot pattern and channel estimation accuracy based on the existence of LOS (Line-of-Sight) paths and the speed of user equipment.
Keyword (in Japanese) (See Japanese page) 
(in English) Channel Estimation / Deep Learning / Feature Selection / / / / /  
Reference Info. ITE Tech. Rep., vol. 46, no. 5, BCT2022-13, pp. 1-4, Feb. 2022.
Paper # BCT2022-13 
Date of Issue 2022-02-10 (BCT) 
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970
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Conference Information
Committee BCT IEEE-BT  
Conference Date 2022-02-17 - 2022-02-17 
Place (in Japanese) (See Japanese page) 
Place (in English) Online 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To BCT 
Conference Code 2022-02-BCT-BT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Autoencoder-based Pilot Pattern Design for CDL Channels 
Sub Title (in English)  
Keyword(1) Channel Estimation  
Keyword(2) Deep Learning  
Keyword(3) Feature Selection  
1st Author's Name Yuta Yamada  
1st Author's Affiliation Keio University (Keio Univ.)
2nd Author's Name Tomoaki Ohtsuki  
2nd Author's Affiliation Keio University (Keio Univ.)
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Date Time 2022-02-17 13:00:00 
Presentation Time 20 
Registration for BCT 
Paper # ITE-BCT2022-13 
Volume (vol) ITE-46 
Number (no) no.5 
Page pp.1-4 
#Pages ITE-4 
Date of Issue ITE-BCT-2022-02-10 

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