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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Language: | zho |
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Beijing Xintong Media Co., Ltd
2020-04-01
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Series: | Dianxin kexue |
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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 |