AAT model based channel estimation for mmWave massive MIMO systems

To solve the problems of temporal correlation and susceptibility to noise in millimeter wave massive MIMO channels, which result in decreased channel estimation accuracy, a novel channel estimation method based on an improved temporal convolutional network was proposed.The channel matrices obtained...

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Main Authors: Shujuan YU, Rong LIU, Yun ZHANG, Na XIE, Liya HUANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2024-03-01
Series:Tongxin xuebao
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Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024067/
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author Shujuan YU
Rong LIU
Yun ZHANG
Na XIE
Liya HUANG
author_facet Shujuan YU
Rong LIU
Yun ZHANG
Na XIE
Liya HUANG
author_sort Shujuan YU
collection DOAJ
description To solve the problems of temporal correlation and susceptibility to noise in millimeter wave massive MIMO channels, which result in decreased channel estimation accuracy, a novel channel estimation method based on an improved temporal convolutional network was proposed.The channel matrices obtained from simulation were feed into the system as two-dimensional image data.The temporal correlation was utilized for feature fusion and an attention in attention network was constructed to enhance the system’s ability to extract deep channel features.Then, AAN was integrated into the temporal convolutional network for training.Finally, the system outputted a denoised two-dimensional image, namely, the channel estimation matrix.Simulation results demonstrate that the proposed method not only exhibits good performance and complexity compared to conventional channel estimation methods but also maintains robustness when the test scenario changes.
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institution Kabale University
issn 1000-436X
language zho
publishDate 2024-03-01
publisher Editorial Department of Journal on Communications
record_format Article
series Tongxin xuebao
spelling doaj-art-7bd8d8ad459c40f29cc237c3ce0cbe0b2025-01-14T06:21:49ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2024-03-0145414959296346AAT model based channel estimation for mmWave massive MIMO systemsShujuan YURong LIUYun ZHANGNa XIELiya HUANGTo solve the problems of temporal correlation and susceptibility to noise in millimeter wave massive MIMO channels, which result in decreased channel estimation accuracy, a novel channel estimation method based on an improved temporal convolutional network was proposed.The channel matrices obtained from simulation were feed into the system as two-dimensional image data.The temporal correlation was utilized for feature fusion and an attention in attention network was constructed to enhance the system’s ability to extract deep channel features.Then, AAN was integrated into the temporal convolutional network for training.Finally, the system outputted a denoised two-dimensional image, namely, the channel estimation matrix.Simulation results demonstrate that the proposed method not only exhibits good performance and complexity compared to conventional channel estimation methods but also maintains robustness when the test scenario changes.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024067/massive MIMO channeltemporal convolutional neural networkchannel estimationattention in attention network
spellingShingle Shujuan YU
Rong LIU
Yun ZHANG
Na XIE
Liya HUANG
AAT model based channel estimation for mmWave massive MIMO systems
Tongxin xuebao
massive MIMO channel
temporal convolutional neural network
channel estimation
attention in attention network
title AAT model based channel estimation for mmWave massive MIMO systems
title_full AAT model based channel estimation for mmWave massive MIMO systems
title_fullStr AAT model based channel estimation for mmWave massive MIMO systems
title_full_unstemmed AAT model based channel estimation for mmWave massive MIMO systems
title_short AAT model based channel estimation for mmWave massive MIMO systems
title_sort aat model based channel estimation for mmwave massive mimo systems
topic massive MIMO channel
temporal convolutional neural network
channel estimation
attention in attention network
url http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024067/
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AT yunzhang aatmodelbasedchannelestimationformmwavemassivemimosystems
AT naxie aatmodelbasedchannelestimationformmwavemassivemimosystems
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