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Spectral Efficiency Optimization of Uplink Millimeter Wave MIMO-NOMA Systems

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 channe...

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Detalles Bibliográficos
Autores principales: Zhang, Yinhao, Deng, Honggui, He, Jun, Zhu, Zaoxing, Peng, Chengzuo, Xiao, Haoqi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460619/
https://www.ncbi.nlm.nih.gov/pubmed/36080925
http://dx.doi.org/10.3390/s22176466
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author Zhang, Yinhao
Deng, Honggui
He, Jun
Zhu, Zaoxing
Peng, Chengzuo
Xiao, Haoqi
author_facet Zhang, Yinhao
Deng, Honggui
He, Jun
Zhu, Zaoxing
Peng, Chengzuo
Xiao, Haoqi
author_sort Zhang, Yinhao
collection PubMed
description 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.
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spelling pubmed-94606192022-09-10 Spectral Efficiency Optimization of Uplink Millimeter Wave MIMO-NOMA Systems Zhang, Yinhao Deng, Honggui He, Jun Zhu, Zaoxing Peng, Chengzuo Xiao, Haoqi Sensors (Basel) Article 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. MDPI 2022-08-27 /pmc/articles/PMC9460619/ /pubmed/36080925 http://dx.doi.org/10.3390/s22176466 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhang, Yinhao
Deng, Honggui
He, Jun
Zhu, Zaoxing
Peng, Chengzuo
Xiao, Haoqi
Spectral Efficiency Optimization of Uplink Millimeter Wave MIMO-NOMA Systems
title Spectral Efficiency Optimization of Uplink Millimeter Wave MIMO-NOMA Systems
title_full Spectral Efficiency Optimization of Uplink Millimeter Wave MIMO-NOMA Systems
title_fullStr Spectral Efficiency Optimization of Uplink Millimeter Wave MIMO-NOMA Systems
title_full_unstemmed Spectral Efficiency Optimization of Uplink Millimeter Wave MIMO-NOMA Systems
title_short Spectral Efficiency Optimization of Uplink Millimeter Wave MIMO-NOMA Systems
title_sort spectral efficiency optimization of uplink millimeter wave mimo-noma systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9460619/
https://www.ncbi.nlm.nih.gov/pubmed/36080925
http://dx.doi.org/10.3390/s22176466
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