Hybrid TH Precoding and Combining With Sub-Connected Structure for mmWave Systems

Hybrid precoding based on the sub-connected structure is one of promising technologies for millimeter-wave communications. Whereas, the existing hybrid designs of the sub-connected structure are all based on the linear precoding, which may suffer from a noise enhancement and performance deterioratio...

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Bibliographic Details
Published in:IEEE communications letters Vol. 24; no. 8; pp. 1821 - 1824
Main Authors: Bai, Xiaoyu, Liu, Fulai, Du, Ruiyan, Xu, Yixin, Sun, Zhenxing
Format: Journal Article
Language:English
Published: New York IEEE 01.08.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Antennas
Columns (structural)
Complexity
Complexity theory
Computer simulation
hybrid precoding
Hybrid systems
Inversions
Matrices (mathematics)
Matrix decomposition
Millimeter waves
Millimeter-wave
MIMO
MIMO communication
Performance degradation
Phase shifters
Precoding
Radio frequency
sub-connected structure
Tomlinson-Harashima
ISSN:1089-7798, 1558-2558
Online Access:Get full text
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Summary:Hybrid precoding based on the sub-connected structure is one of promising technologies for millimeter-wave communications. Whereas, the existing hybrid designs of the sub-connected structure are all based on the linear precoding, which may suffer from a noise enhancement and performance deterioration. To tackle this issue, this letter proposes a novel nonlinear hybrid Tomlinson-Harashima (TH) precoding algorithm. In the proposed algorithm, a column-wise refinement procedure is firstly developed to update the radio frequency (RF) precoding and combining matrices column by column via Schur complement. Such a refinement procedure can effectively obtain the optimal solutions of each columns of the RF precoding and combining matrices, however, it requires matrix inversions with high complexity. Thus a recurrence relation of the matrix inversion is further established, which can reduce the complexity of the aforementioned refinement procedure greatly. Finally, the digital precoding and combining matrices are given by QR decomposition. Simulations show that the proposed algorithm can effectively improve the spectral efficiency with lower complexity.
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ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2020.2989374