Low-complexity massive MIMO channel estimation for mmWave systems via matrix completion

Due to the high computational complexity of mmWave massive MIMO systems realizing reliable channel estimation,a low-complexity mmWave beamspace channel estimation algorithm was proposed utilizing the inherent low-rank of the mmWave channel.The proposed algorithm jointly exploited the channel sparsit...

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Main Author: Jiafeng QIU
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2020-04-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020051/
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author Jiafeng QIU
author_facet Jiafeng QIU
author_sort Jiafeng QIU
collection DOAJ
description Due to the high computational complexity of mmWave massive MIMO systems realizing reliable channel estimation,a low-complexity mmWave beamspace channel estimation algorithm was proposed utilizing the inherent low-rank of the mmWave channel.The proposed algorithm jointly exploited the channel sparsity in the beamspace domain and its low-rank property in the antenna domain to provide more accurate recovery,especially for shorter training intervals.By regarding the channel estimation as matrix completion problem,the proposed algorithm was based on the alternating direction method of multipliers with fast convergence properties and exploited fast randomized singular value thresholding to significantly reduce the corresponding complexity.The simulation result shows that the proposed algorithm can achieve satisfactory channel estimation performance while maintaining low complexity.
format Article
id doaj-art-581e11f305f440a0a09865eda1e178e8
institution Kabale University
issn 1000-0801
language zho
publishDate 2020-04-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-581e11f305f440a0a09865eda1e178e82025-01-15T03:00:53ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012020-04-01369910659583669Low-complexity massive MIMO channel estimation for mmWave systems via matrix completionJiafeng QIUDue to the high computational complexity of mmWave massive MIMO systems realizing reliable channel estimation,a low-complexity mmWave beamspace channel estimation algorithm was proposed utilizing the inherent low-rank of the mmWave channel.The proposed algorithm jointly exploited the channel sparsity in the beamspace domain and its low-rank property in the antenna domain to provide more accurate recovery,especially for shorter training intervals.By regarding the channel estimation as matrix completion problem,the proposed algorithm was based on the alternating direction method of multipliers with fast convergence properties and exploited fast randomized singular value thresholding to significantly reduce the corresponding complexity.The simulation result shows that the proposed algorithm can achieve satisfactory channel estimation performance while maintaining low complexity.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020051/matrix completionADMMchannel estimationmmWave massive MIMOlow complexity
spellingShingle Jiafeng QIU
Low-complexity massive MIMO channel estimation for mmWave systems via matrix completion
Dianxin kexue
matrix completion
ADMM
channel estimation
mmWave massive MIMO
low complexity
title Low-complexity massive MIMO channel estimation for mmWave systems via matrix completion
title_full Low-complexity massive MIMO channel estimation for mmWave systems via matrix completion
title_fullStr Low-complexity massive MIMO channel estimation for mmWave systems via matrix completion
title_full_unstemmed Low-complexity massive MIMO channel estimation for mmWave systems via matrix completion
title_short Low-complexity massive MIMO channel estimation for mmWave systems via matrix completion
title_sort low complexity massive mimo channel estimation for mmwave systems via matrix completion
topic matrix completion
ADMM
channel estimation
mmWave massive MIMO
low complexity
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2020051/
work_keys_str_mv AT jiafengqiu lowcomplexitymassivemimochannelestimationformmwavesystemsviamatrixcompletion