Skip to main content
placeholder image

Matrix Completion-Based Channel Estimation for MmWave Communication Systems With Array-Inherent Impairments

Journal Article


Download full-text (Open Access)

Abstract


  • OAPA Hybrid massive MIMO structures with reduced hardware complexity and power consumption have been widely studied as a potential candidate for millimeter wave (mmWave) communications. Channel estimators that require knowledge of the array response, such as those using compressive sensing (CS) methods, may suffer from performance degradation when arrayinherent 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 (GCG) framework and the alternating minimization (AltMin) 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 (OMP)-based CS channel estimator.

Publication Date


  • 2018

Citation


  • R. Hu, J. Tong, J. Xi, Q. Guo & Y. Yu, "Matrix Completion-Based Channel Estimation for MmWave Communication Systems With Array-Inherent Impairments," IEEE Access, vol. 6, pp. 62915-62931, 2018.

Scopus Eid


  • 2-s2.0-85055201838

Ro Full-text Url


  • https://ro.uow.edu.au/cgi/viewcontent.cgi?article=3062&context=eispapers1

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/2057

Number Of Pages


  • 16

Start Page


  • 62915

End Page


  • 62931

Volume


  • 6

Place Of Publication


  • United States

Abstract


  • OAPA Hybrid massive MIMO structures with reduced hardware complexity and power consumption have been widely studied as a potential candidate for millimeter wave (mmWave) communications. Channel estimators that require knowledge of the array response, such as those using compressive sensing (CS) methods, may suffer from performance degradation when arrayinherent 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 (GCG) framework and the alternating minimization (AltMin) 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 (OMP)-based CS channel estimator.

Publication Date


  • 2018

Citation


  • R. Hu, J. Tong, J. Xi, Q. Guo & Y. Yu, "Matrix Completion-Based Channel Estimation for MmWave Communication Systems With Array-Inherent Impairments," IEEE Access, vol. 6, pp. 62915-62931, 2018.

Scopus Eid


  • 2-s2.0-85055201838

Ro Full-text Url


  • https://ro.uow.edu.au/cgi/viewcontent.cgi?article=3062&context=eispapers1

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers1/2057

Number Of Pages


  • 16

Start Page


  • 62915

End Page


  • 62931

Volume


  • 6

Place Of Publication


  • United States