Performance analysis of insertion loss incorporated hybrid precoding for massive MIMO

Due to an increase in the number of users and a high demand for high data rates, researchers have resorted to boosting the capacity and spectral efficiency of the next-generation wireless communication. With a limited RF chain, hybrid analog digital precoding is an appealing alternative. The hybrid...

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Main Authors: Tadele A. Abose, Thomas O. Olwal, Muna M. Mohammed, Murad R. Hassen
Format: Article
Language:English
Published: AIMS Press 2024-04-01
Series:AIMS Electronics and Electrical Engineering
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Online Access:https://www.aimspress.com/article/doi/10.3934/electreng.2024008
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author Tadele A. Abose
Thomas O. Olwal
Muna M. Mohammed
Murad R. Hassen
author_facet Tadele A. Abose
Thomas O. Olwal
Muna M. Mohammed
Murad R. Hassen
author_sort Tadele A. Abose
collection DOAJ
description Due to an increase in the number of users and a high demand for high data rates, researchers have resorted to boosting the capacity and spectral efficiency of the next-generation wireless communication. With a limited RF chain, hybrid analog digital precoding is an appealing alternative. The hybrid precoding approach divides the beamforming process into an analog beamforming network and a digital beamforming network of a reduced size. As a result, numerous hybrid beamforming networks have been proposed. The practical effects of signal processing in the RF domain, such as the additional power loss incurred by an analog beamforming network, were not taken into account. The effectiveness of hybrid precoding structures for massive MIMO systems was examined in this study. In particular, a viable hardware network realization with insertion loss was developed. Investigating the spectral and energy efficiency of two popular hybrid precoding structures, the fully connected structure, and the subconnected structure, it was found that in a massive MIMO, the subconnected structure always performed better than the fully connected structure. Characterizing the effect of quantized analog precoding, it was shown that the subconnected structure was able to achieve better performance with fewer feedback bits than the fully connected structure.
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institution Kabale University
issn 2578-1588
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publishDate 2024-04-01
publisher AIMS Press
record_format Article
series AIMS Electronics and Electrical Engineering
spelling doaj-art-ab0e79e61af9451089edc11fd1e9a8592025-01-24T01:10:27ZengAIMS PressAIMS Electronics and Electrical Engineering2578-15882024-04-018218721010.3934/electreng.2024008Performance analysis of insertion loss incorporated hybrid precoding for massive MIMOTadele A. Abose0Thomas O. Olwal1Muna M. Mohammed2Murad R. Hassen3Department of Electrical and Computer Engineering, Mattu University, Mattu, 318, EthiopiaDepartment of Electrical Engineering/F'SATI, Tshwane University of Technology, Pretoria, 0001, South AfricaSchool of Electrical and Computer Engineering, Dire Dawa University, Dire Dawa, 1362, EthiopiaSchool of Electrical and Computer Engineering, Addis Ababa University, Addis Ababa, 1176, EthiopiaDue to an increase in the number of users and a high demand for high data rates, researchers have resorted to boosting the capacity and spectral efficiency of the next-generation wireless communication. With a limited RF chain, hybrid analog digital precoding is an appealing alternative. The hybrid precoding approach divides the beamforming process into an analog beamforming network and a digital beamforming network of a reduced size. As a result, numerous hybrid beamforming networks have been proposed. The practical effects of signal processing in the RF domain, such as the additional power loss incurred by an analog beamforming network, were not taken into account. The effectiveness of hybrid precoding structures for massive MIMO systems was examined in this study. In particular, a viable hardware network realization with insertion loss was developed. Investigating the spectral and energy efficiency of two popular hybrid precoding structures, the fully connected structure, and the subconnected structure, it was found that in a massive MIMO, the subconnected structure always performed better than the fully connected structure. Characterizing the effect of quantized analog precoding, it was shown that the subconnected structure was able to achieve better performance with fewer feedback bits than the fully connected structure.https://www.aimspress.com/article/doi/10.3934/electreng.2024008energy efficiencyhybrid precodinginsertion lossmassive mimomm wave
spellingShingle Tadele A. Abose
Thomas O. Olwal
Muna M. Mohammed
Murad R. Hassen
Performance analysis of insertion loss incorporated hybrid precoding for massive MIMO
AIMS Electronics and Electrical Engineering
energy efficiency
hybrid precoding
insertion loss
massive mimo
mm wave
title Performance analysis of insertion loss incorporated hybrid precoding for massive MIMO
title_full Performance analysis of insertion loss incorporated hybrid precoding for massive MIMO
title_fullStr Performance analysis of insertion loss incorporated hybrid precoding for massive MIMO
title_full_unstemmed Performance analysis of insertion loss incorporated hybrid precoding for massive MIMO
title_short Performance analysis of insertion loss incorporated hybrid precoding for massive MIMO
title_sort performance analysis of insertion loss incorporated hybrid precoding for massive mimo
topic energy efficiency
hybrid precoding
insertion loss
massive mimo
mm wave
url https://www.aimspress.com/article/doi/10.3934/electreng.2024008
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AT muradrhassen performanceanalysisofinsertionlossincorporatedhybridprecodingformassivemimo