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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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Tamkang University Press
2021-11-01
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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. |
first_indexed | 2024-12-21T09:17:45Z |
format | Article |
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institution | Directory Open Access Journal |
issn | 2708-9967 2708-9975 |
language | English |
last_indexed | 2024-12-21T09:17:45Z |
publishDate | 2021-11-01 |
publisher | Tamkang University Press |
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series | Journal of Applied Science and Engineering |
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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