Hybrid precoding for mmWave massive MU-MIMO systems with overlapped subarray: A modified GLRAM approach

Mmillimeter-wave (mmWave) massive multiuser multiple-input multiple-output (MU-MIMO) system usually utilizes hybrid precoding to reduce complex hardware and high energy consumption. However, most hybrid precoding scheme consider the fully connected architecture, which may result in a significant los...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Ting Ding, Yongjun Zhao, Lei Zhang
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Massive MIMO Mmillimeter-wave Hybrid precoding GLRAM BD Information technology T58.5-58.64
Acceso en línea:	https://doaj.org/article/00f5f43beb4040f0aaab01fdea606693
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:00f5f43beb4040f0aaab01fdea606693
record_format	dspace
spelling	oai:doaj.org-article:00f5f43beb4040f0aaab01fdea6066932021-11-30T04:16:37ZHybrid precoding for mmWave massive MU-MIMO systems with overlapped subarray: A modified GLRAM approach2405-959510.1016/j.icte.2021.02.009https://doaj.org/article/00f5f43beb4040f0aaab01fdea6066932021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2405959521000369https://doaj.org/toc/2405-9595Mmillimeter-wave (mmWave) massive multiuser multiple-input multiple-output (MU-MIMO) system usually utilizes hybrid precoding to reduce complex hardware and high energy consumption. However, most hybrid precoding scheme consider the fully connected architecture, which may result in a significant loss of energy efficiency. In this paper, we propose a hybrid precoding scheme based on the overlapped subarray architecture (OSA), where the analog part of the MU-MIMO system is realized by a OSA network. Based on the OSA architecture, a modified generalized low rank approximation of matrices (GLRAM) based hybrid precoding scheme is designed to maximize the achievable sum-rate, where the analog precoding algorithm apply the phase alignment technology and GLRAM approach to obtain RF precoder/combiner with high array gain provided by massive MIMO system. Then, the block diagonalization (BD) technology is performed to obtain the digital precoding matrix for the multiplexing gain. Simulation results show that the modified GLRAM based hybrid precoding algorithm for OSA architecture can reduce the number of iterations. Compared with the existing hybrid precoding algorithm, it achieves higher spectral efficiency and lower complexity.Ting DingYongjun ZhaoLei ZhangElsevierarticleMassive MIMOMmillimeter-waveHybrid precodingGLRAMBDInformation technologyT58.5-58.64ENICT Express, Vol 7, Iss 4, Pp 460-467 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Massive MIMO Mmillimeter-wave Hybrid precoding GLRAM BD Information technology T58.5-58.64
spellingShingle	Massive MIMO Mmillimeter-wave Hybrid precoding GLRAM BD Information technology T58.5-58.64 Ting Ding Yongjun Zhao Lei Zhang Hybrid precoding for mmWave massive MU-MIMO systems with overlapped subarray: A modified GLRAM approach
description	Mmillimeter-wave (mmWave) massive multiuser multiple-input multiple-output (MU-MIMO) system usually utilizes hybrid precoding to reduce complex hardware and high energy consumption. However, most hybrid precoding scheme consider the fully connected architecture, which may result in a significant loss of energy efficiency. In this paper, we propose a hybrid precoding scheme based on the overlapped subarray architecture (OSA), where the analog part of the MU-MIMO system is realized by a OSA network. Based on the OSA architecture, a modified generalized low rank approximation of matrices (GLRAM) based hybrid precoding scheme is designed to maximize the achievable sum-rate, where the analog precoding algorithm apply the phase alignment technology and GLRAM approach to obtain RF precoder/combiner with high array gain provided by massive MIMO system. Then, the block diagonalization (BD) technology is performed to obtain the digital precoding matrix for the multiplexing gain. Simulation results show that the modified GLRAM based hybrid precoding algorithm for OSA architecture can reduce the number of iterations. Compared with the existing hybrid precoding algorithm, it achieves higher spectral efficiency and lower complexity.
format	article
author	Ting Ding Yongjun Zhao Lei Zhang
author_facet	Ting Ding Yongjun Zhao Lei Zhang
author_sort	Ting Ding
title	Hybrid precoding for mmWave massive MU-MIMO systems with overlapped subarray: A modified GLRAM approach
title_short	Hybrid precoding for mmWave massive MU-MIMO systems with overlapped subarray: A modified GLRAM approach
title_full	Hybrid precoding for mmWave massive MU-MIMO systems with overlapped subarray: A modified GLRAM approach
title_fullStr	Hybrid precoding for mmWave massive MU-MIMO systems with overlapped subarray: A modified GLRAM approach
title_full_unstemmed	Hybrid precoding for mmWave massive MU-MIMO systems with overlapped subarray: A modified GLRAM approach
title_sort	hybrid precoding for mmwave massive mu-mimo systems with overlapped subarray: a modified glram approach
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/00f5f43beb4040f0aaab01fdea606693
work_keys_str_mv	AT tingding hybridprecodingformmwavemassivemumimosystemswithoverlappedsubarrayamodifiedglramapproach AT yongjunzhao hybridprecodingformmwavemassivemumimosystemswithoverlappedsubarrayamodifiedglramapproach AT leizhang hybridprecodingformmwavemassivemumimosystemswithoverlappedsubarrayamodifiedglramapproach
_version_	1718406782894735360

Hybrid precoding for mmWave massive MU-MIMO systems with overlapped subarray: A modified GLRAM approach

Ejemplares similares