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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Main Authors: Abdul Haq Nalband, Mrinal Sarvagya, Mohammed Riyaz Ahmed
Format: Article
Language:English
Published: Tamkang University Press 2021-11-01
Series:Journal of Applied Science and Engineering
Subjects:
Online Access:http://jase.tku.edu.tw/articles/jase-202204-25-2-0002
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author Abdul Haq Nalband
Mrinal Sarvagya
Mohammed Riyaz Ahmed
author_facet Abdul Haq Nalband
Mrinal Sarvagya
Mohammed Riyaz Ahmed
author_sort Abdul Haq Nalband
collection DOAJ
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.
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spelling doaj.art-9ae4634cf575496994d464caa15d3c1f2022-12-21T19:09:07ZengTamkang University PressJournal of Applied Science and Engineering2708-99672708-99752021-11-0125125726510.6180/jase.202204_25(2).0002Optimization of Precoder and Combiner in mmWave Hybrid Beamforming Systems for Multi-user Downlink ScenarioAbdul Haq Nalband0Mrinal Sarvagya1Mohammed Riyaz Ahmed2School of Multidisciplinary Studies, REVA University, Bengaluru, IndiaSchool of Electronics and Communication Engineering, REVA University, Bengaluru, IndiaSchool of Multidisciplinary Studies, REVA University, Bengaluru, IndiaBeamforming 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.http://jase.tku.edu.tw/articles/jase-202204-25-2-00025gbeamforminghybrid precodingmmwavemassive mimo
spellingShingle Abdul Haq Nalband
Mrinal Sarvagya
Mohammed Riyaz Ahmed
Optimization of Precoder and Combiner in mmWave Hybrid Beamforming Systems for Multi-user Downlink Scenario
Journal of Applied Science and Engineering
5g
beamforming
hybrid precoding
mmwave
massive mimo
title 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_short 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
topic 5g
beamforming
hybrid precoding
mmwave
massive mimo
url http://jase.tku.edu.tw/articles/jase-202204-25-2-0002
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AT mohammedriyazahmed optimizationofprecoderandcombinerinmmwavehybridbeamformingsystemsformultiuserdownlinkscenario