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 |
Download PDF |
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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 |
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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) |
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Keyword(1) |
Channel Estimation |
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Deep Learning |
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Feature Selection |
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1st Author's Name |
Yuta Yamada |
1st Author's Affiliation |
Keio University (Keio Univ.) |
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Tomoaki Ohtsuki |
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Keio University (Keio Univ.) |
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Speaker |
Author-1 |
Date Time |
2022-02-17 13:00:00 |
Presentation Time |
20 minutes |
Registration for |
BCT |
Paper # |
BCT2022-13 |
Volume (vol) |
vol.46 |
Number (no) |
no.5 |
Page |
pp.1-4 |
#Pages |
4 |
Date of Issue |
2022-02-10 (BCT) |
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