Optimization of Precoder and Combiner in mmWave Hybrid Beamforming Systems for Multi-user Downlink Scenario

Beamforming at millimeter-wave (mmWave) band, promises to significantly support 5G networks in achieving their performance goals. The conventional digital beamforming uses a separate RF chain for each antenna element, while it leads to high cost and hardware complexity in mmWave massive MIMO antenna...

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Autores principales:	Abdul Haq Nalband, Mrinal Sarvagya, Mohammed Riyaz Ahmed
Formato:	article
Lenguaje:	EN
Publicado:	Tamkang University Press 2021
Materias:	5g beamforming hybrid precoding mmwave massive mimo Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Physics QC1-999
Acceso en línea:	https://doaj.org/article/9ae4634cf575496994d464caa15d3c1f
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spelling	oai:doaj.org-article:9ae4634cf575496994d464caa15d3c1f2021-11-23T16:13:44ZOptimization of Precoder and Combiner in mmWave Hybrid Beamforming Systems for Multi-user Downlink Scenario10.6180/jase.202204_25(2).00022708-99672708-9975https://doaj.org/article/9ae4634cf575496994d464caa15d3c1f2021-11-01T00:00:00Zhttp://jase.tku.edu.tw/articles/jase-202204-25-2-0002https://doaj.org/toc/2708-9967https://doaj.org/toc/2708-9975Beamforming at millimeter-wave (mmWave) band, promises to significantly support 5G networks in achieving their performance goals. The conventional digital beamforming uses a separate RF chain for each antenna element, while it leads to high cost and hardware complexity in mmWave massive MIMO antenna systems. Beamforming with multiple data streams called precoding improves the system’s spectral efficiency and one of its kind hybrid beamforming reduces the cost and overcomes the hardware limitation by using a reduced number of RF chains. This work considers, transmit precoding, receive combining in mmWave hybrid beamforming systems, and constructs a dictionary matrix containing array response vectors. This paper proposes an extended simultaneous orthogonal matching pursuit (ESOMP) algorithm to compute the block-sparse matrix. The nonzero rows of block-sparse matrix and dictionary matrix are further processed to achieve precoder/combiner optimization in a multi-user downlink scenario. Simulation results reveal that the proposed method performs close to the ideal digital beamforming scheme while improving the spectral efficiency when compared to the state-of-the-art algorithm.Abdul Haq NalbandMrinal SarvagyaMohammed Riyaz AhmedTamkang University Pressarticle5gbeamforminghybrid precodingmmwavemassive mimoEngineering (General). Civil engineering (General)TA1-2040Chemical engineeringTP155-156PhysicsQC1-999ENJournal of Applied Science and Engineering, Vol 25, Iss 1, Pp 257-265 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	5g beamforming hybrid precoding mmwave massive mimo Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Physics QC1-999
spellingShingle	5g beamforming hybrid precoding mmwave massive mimo Engineering (General). Civil engineering (General) TA1-2040 Chemical engineering TP155-156 Physics QC1-999 Abdul Haq Nalband Mrinal Sarvagya Mohammed Riyaz Ahmed Optimization of Precoder and Combiner in mmWave Hybrid Beamforming Systems for Multi-user Downlink Scenario
description	Beamforming at millimeter-wave (mmWave) band, promises to significantly support 5G networks in achieving their performance goals. The conventional digital beamforming uses a separate RF chain for each antenna element, while it leads to high cost and hardware complexity in mmWave massive MIMO antenna systems. Beamforming with multiple data streams called precoding improves the system’s spectral efficiency and one of its kind hybrid beamforming reduces the cost and overcomes the hardware limitation by using a reduced number of RF chains. This work considers, transmit precoding, receive combining in mmWave hybrid beamforming systems, and constructs a dictionary matrix containing array response vectors. This paper proposes an extended simultaneous orthogonal matching pursuit (ESOMP) algorithm to compute the block-sparse matrix. The nonzero rows of block-sparse matrix and dictionary matrix are further processed to achieve precoder/combiner optimization in a multi-user downlink scenario. Simulation results reveal that the proposed method performs close to the ideal digital beamforming scheme while improving the spectral efficiency when compared to the state-of-the-art algorithm.
format	article
author	Abdul Haq Nalband Mrinal Sarvagya Mohammed Riyaz Ahmed
author_facet	Abdul Haq Nalband Mrinal Sarvagya Mohammed Riyaz Ahmed
author_sort	Abdul Haq Nalband
title	Optimization of Precoder and Combiner in mmWave Hybrid Beamforming Systems for Multi-user Downlink Scenario
title_short	Optimization of Precoder and Combiner in mmWave Hybrid Beamforming Systems for Multi-user Downlink Scenario
title_full	Optimization of Precoder and Combiner in mmWave Hybrid Beamforming Systems for Multi-user Downlink Scenario
title_fullStr	Optimization of Precoder and Combiner in mmWave Hybrid Beamforming Systems for Multi-user Downlink Scenario
title_full_unstemmed	Optimization of Precoder and Combiner in mmWave Hybrid Beamforming Systems for Multi-user Downlink Scenario
title_sort	optimization of precoder and combiner in mmwave hybrid beamforming systems for multi-user downlink scenario
publisher	Tamkang University Press
publishDate	2021
url	https://doaj.org/article/9ae4634cf575496994d464caa15d3c1f
work_keys_str_mv	AT abdulhaqnalband optimizationofprecoderandcombinerinmmwavehybridbeamformingsystemsformultiuserdownlinkscenario AT mrinalsarvagya optimizationofprecoderandcombinerinmmwavehybridbeamformingsystemsformultiuserdownlinkscenario AT mohammedriyazahmed optimizationofprecoderandcombinerinmmwavehybridbeamformingsystemsformultiuserdownlinkscenario
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Optimization of Precoder and Combiner in mmWave Hybrid Beamforming Systems for Multi-user Downlink Scenario

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