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Spectral Efficiency Optimization of Uplink Millimeter Wave MIMO-NOMA Systems.

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Title: Spectral Efficiency Optimization of Uplink Millimeter Wave MIMO-NOMA Systems.
Authors: Zhang, Yinhao, Deng, Honggui, He, Jun, Zhu, Zaoxing, Peng, Chengzuo, Xiao, Haoqi
Source: Sensors (14248220); Sep2022, Vol. 22 Issue 17, p6466, 16p
Subject Terms: MILLIMETER waves, MULTIPLE access protocols (Computer network protocols), BEAMFORMING
Abstract: In this paper, we considered uplink communication, focusing on the improvement of spectral efficiency (SE) for millimeter wave (mmWave) multiple-input multiple-output non-orthogonal multiple access (MIMO-NOMA) systems. Firstly, we proposed an adaptive cluster head selection algorithm. Then, a channel-aligned analog beamforming scheme was designed based on the selected cluster heads. After that, the user grouping algorithm was designed based on the user-equivalent channel correlation. Subsequently, the power allocation problem was transformed from a nonconvex problem to a convex one using the quadratic transformation (QT) method considering all relevant constraints. Finally, the optimal user power allocation and digital beamforming design was obtained by iteratively optimizing the power and digital beamforming. Simulation results show that our proposed scheme can achieve a higher SE than existing methods. [ABSTRACT FROM AUTHOR]
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Database: Complementary Index
Description
Abstract:In this paper, we considered uplink communication, focusing on the improvement of spectral efficiency (SE) for millimeter wave (mmWave) multiple-input multiple-output non-orthogonal multiple access (MIMO-NOMA) systems. Firstly, we proposed an adaptive cluster head selection algorithm. Then, a channel-aligned analog beamforming scheme was designed based on the selected cluster heads. After that, the user grouping algorithm was designed based on the user-equivalent channel correlation. Subsequently, the power allocation problem was transformed from a nonconvex problem to a convex one using the quadratic transformation (QT) method considering all relevant constraints. Finally, the optimal user power allocation and digital beamforming design was obtained by iteratively optimizing the power and digital beamforming. Simulation results show that our proposed scheme can achieve a higher SE than existing methods. [ABSTRACT FROM AUTHOR]
ISSN:14248220
DOI:10.3390/s22176466