ZHOU Wei, YANG Qiu-yan. Hybrid Precoding Algorithm for High Spectral Efficiency in mm-Wave MIMO Systems. [J]. Study on Optical Communications (4):63-68(2022)
DOI:
ZHOU Wei, YANG Qiu-yan. Hybrid Precoding Algorithm for High Spectral Efficiency in mm-Wave MIMO Systems. [J]. Study on Optical Communications (4):63-68(2022) DOI: 10.13756/j.gtxyj.2022.04.013.
Hybrid Precoding Algorithm for High Spectral Efficiency in mm-Wave MIMO Systems
In mm-wave massive Multiple Input Multiple Output (MIMO) systems
in order to further improve the spectral efficiency of hybrid precoding in fully connected structure
an Alternate Minimization based on Gradient Descent (GD-AltMin) hybrid precoding algorithm is proposed. Firstly
the right singular vector of the channel matrix is used to initialize the analog precoding matrix. Secondly
digital and analog precoding matrices are updated by least square criterion and gradient descent method respectively. Then
under the principle of alternating minimization
the digital and analog precoding matrices are updated iteratively until the optimal digital and analog precoding matrices are obtained. Through theoretical analysis and numerical simulation
the spectral efficiency of several classical algorithms are compared under different signal-to-noise-ratio
number of radio frequency links and number of transmitting antennas. The results show that the spectral efficiency of the proposed algorithm is closer to the optimal unconstrained precoding algorithm than alternate minimization algorithm using phase extraction and channel singular value decomposition algorithm
especially when the number of radio frequency links is greater than the number of data streams.
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