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Erschienen in: Wireless Networks 2/2020

19.11.2019

A general hybrid precoding scheme for millimeter wave massive MIMO systems

verfasst von: Shiguo Wang, Lifang Li, Rukhsana Ruby, Peng Li

Erschienen in: Wireless Networks | Ausgabe 2/2020

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Abstract

In massive multiple-input multiple-output systems, due to high cost and power consumption, unconstrained fully digital precoding is excluded for its requirement of dedicated radio-frequency (RF) chains per antenna element. Therefore, hybrid digital/analog precoding solution is deemed as the most potential candidate. In this paper, based on the singular value decomposition (SVD) technique, a low-complexity yet high performance precoding strategy is proposed. Specifically, through the operation of the SVD technique on the fully digital precoding matrix, the eigenvectors with the same number of the data streams are selected out to capture the angle information of the analog phase shifters. To obtain the remaining required eigenvectors, the relativity information between the left decomposed matrix and the optimal fully digital precoding matrix is exploited. In this way, the resultant hybrid analog/digital precoding is realized in a low complexity manner. Simulation results show that the spectral efficiency achieved by our proposed scheme is better compared to that with the orthogonal-matching-pursuit (OMP) scheme in most of the practical scenarios when the number of data streams is equal to that of RF chains, and is very close to that by the OMP scheme when the number of data stream is less than that of RF chains.

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Fußnoten
1
When the number of RF chains is equal to that of the antennas, the system spectral efficiency achieved by the hybrid precoding scheme is as same as that of the fully digital precoding mode.
 
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Metadaten
Titel
A general hybrid precoding scheme for millimeter wave massive MIMO systems
verfasst von
Shiguo Wang
Lifang Li
Rukhsana Ruby
Peng Li
Publikationsdatum
19.11.2019
Verlag
Springer US
Erschienen in
Wireless Networks / Ausgabe 2/2020
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-019-02190-5

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