Matrix Completion-Based Channel Estimation for MmWave Communication Systems With Array-Inherent Impairments
Hybrid massive MIMO structures with reduced hardware complexity and power consumption have been widely studied as a potential candidate for millimeter wave communications. Channel estimators that require knowledge of the array response, such as those using compressive sensing (CS) methods, may suffe...
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doaj-95a98964705f4c46894692a1136c713a2021-03-29T21:28:31ZengIEEEIEEE Access2169-35362018-01-016629156293110.1109/ACCESS.2018.28774328502020Matrix Completion-Based Channel Estimation for MmWave Communication Systems With Array-Inherent ImpairmentsRui Hu0https://orcid.org/0000-0003-4866-1679Jun Tong1https://orcid.org/0000-0002-4445-5125Jiangtao Xi2Qinghua Guo3https://orcid.org/0000-0002-5180-7854Yanguang Yu4School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW, AustraliaSchool of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW, AustraliaSchool of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW, AustraliaSchool of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW, AustraliaSchool of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW, AustraliaHybrid massive MIMO structures with reduced hardware complexity and power consumption have been widely studied as a potential candidate for millimeter wave communications. Channel estimators that require knowledge of the array response, such as those using compressive sensing (CS) methods, may suffer from performance degradation when array-inherent impairments bring unknown phase errors and gain errors to the antenna elements. In this paper, we design matrix completion (MC)-based channel estimation schemes which are robust against the array-inherent impairments. We first design an open-loop training scheme that can sample entries from the effective channel matrix randomly and is compatible with the phase shifter-based hybrid system. Leveraging the low-rank property of the effective channel matrix, we then design a channel estimator based on the generalized conditional gradient framework and the alternating minimization approach. The resulting estimator is immune to array-inherent impairments and can be implemented to systems with any array shapes for its independence of the array response. In addition, we extend our design to sample a transformed channel matrix following the concept of inductive matrix completion (IMC), which can be solved efficiently using our proposed channel estimator and can achieve similar performance with a lower requirement of the dynamic range of the transmission power per antenna. Numerical results demonstrate the advantages of our proposed MC-based channel estimator in terms of estimation performance, computational complexity, and robustness against array-inherent impairments over the orthogonal matching pursuit-based CS channel estimator.https://ieeexplore.ieee.org/document/8502020/Channel estimationmmWave communicationhybrid systemmatrix completionarray-inherent impairments |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Rui Hu Jun Tong Jiangtao Xi Qinghua Guo Yanguang Yu |
spellingShingle |
Rui Hu Jun Tong Jiangtao Xi Qinghua Guo Yanguang Yu Matrix Completion-Based Channel Estimation for MmWave Communication Systems With Array-Inherent Impairments IEEE Access Channel estimation mmWave communication hybrid system matrix completion array-inherent impairments |
author_facet |
Rui Hu Jun Tong Jiangtao Xi Qinghua Guo Yanguang Yu |
author_sort |
Rui Hu |
title |
Matrix Completion-Based Channel Estimation for MmWave Communication Systems With Array-Inherent Impairments |
title_short |
Matrix Completion-Based Channel Estimation for MmWave Communication Systems With Array-Inherent Impairments |
title_full |
Matrix Completion-Based Channel Estimation for MmWave Communication Systems With Array-Inherent Impairments |
title_fullStr |
Matrix Completion-Based Channel Estimation for MmWave Communication Systems With Array-Inherent Impairments |
title_full_unstemmed |
Matrix Completion-Based Channel Estimation for MmWave Communication Systems With Array-Inherent Impairments |
title_sort |
matrix completion-based channel estimation for mmwave communication systems with array-inherent impairments |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2018-01-01 |
description |
Hybrid massive MIMO structures with reduced hardware complexity and power consumption have been widely studied as a potential candidate for millimeter wave communications. Channel estimators that require knowledge of the array response, such as those using compressive sensing (CS) methods, may suffer from performance degradation when array-inherent impairments bring unknown phase errors and gain errors to the antenna elements. In this paper, we design matrix completion (MC)-based channel estimation schemes which are robust against the array-inherent impairments. We first design an open-loop training scheme that can sample entries from the effective channel matrix randomly and is compatible with the phase shifter-based hybrid system. Leveraging the low-rank property of the effective channel matrix, we then design a channel estimator based on the generalized conditional gradient framework and the alternating minimization approach. The resulting estimator is immune to array-inherent impairments and can be implemented to systems with any array shapes for its independence of the array response. In addition, we extend our design to sample a transformed channel matrix following the concept of inductive matrix completion (IMC), which can be solved efficiently using our proposed channel estimator and can achieve similar performance with a lower requirement of the dynamic range of the transmission power per antenna. Numerical results demonstrate the advantages of our proposed MC-based channel estimator in terms of estimation performance, computational complexity, and robustness against array-inherent impairments over the orthogonal matching pursuit-based CS channel estimator. |
topic |
Channel estimation mmWave communication hybrid system matrix completion array-inherent impairments |
url |
https://ieeexplore.ieee.org/document/8502020/ |
work_keys_str_mv |
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