Flexible Hierarchical Multi-Beam Search Algorithm for Millimeter-Wave 3D MIMO Systems With Uniform Planar Arrays

Massive multiple-input multiple-output (MIMO) systems and millimeter-wave (mmWave) spectrum are key technologies for enabling next-generation wireless communications. To fully exploit the array and multiplexing gains, beamforming or precoding strategies require accurate information about the multipl...

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Main Authors: Dony Darmawan Putra, Wan-Jen Huang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Open Journal of the Communications Society
Subjects:
Online Access:https://ieeexplore.ieee.org/document/11015521/
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author Dony Darmawan Putra
Wan-Jen Huang
author_facet Dony Darmawan Putra
Wan-Jen Huang
author_sort Dony Darmawan Putra
collection DOAJ
description Massive multiple-input multiple-output (MIMO) systems and millimeter-wave (mmWave) spectrum are key technologies for enabling next-generation wireless communications. To fully exploit the array and multiplexing gains, beamforming or precoding strategies require accurate information about the multiple multipath components (MPCs) in the mmWave channel. In this paper, we propose a novel hierarchical multi-beam search algorithm for channel estimation in mmWave MIMO systems aiming to enhance beamforming performance. The proposed algorithm enables efficient channel estimation and precoding design in massive MIMO systems with uniform planar arrays with any composite number of horizontal and vertical elements. Thus, it overcomes the limitations of existing hierarchical codebooks, which mostly support uniform linear arrays with an antenna count that is a power of an integer. The proposed algorithm reduces training overhead using a low-complexity least-squares-based refinement approach. The simulation results show that the failure rate of the proposed algorithm is comparable to that of current methods but with a lower training cost and complexity. Moreover, the simulation results also show that the spectral efficiency of the precoding scheme determined using the proposed search algorithm and codebook is the highest compared to existing methods. Numerical results show that the proposed method achieves more accurate spatial angle estimation than existing approaches, even in the presence of hardware impairments, highlighting its superior flexibility and robustness in practical scenarios.
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spelling doaj-art-e15799029d2d486eab78d0a21310ed982025-08-20T03:29:34ZengIEEEIEEE Open Journal of the Communications Society2644-125X2025-01-0165092510510.1109/OJCOMS.2025.357358411015521Flexible Hierarchical Multi-Beam Search Algorithm for Millimeter-Wave 3D MIMO Systems With Uniform Planar ArraysDony Darmawan Putra0Wan-Jen Huang1https://orcid.org/0000-0002-3423-0408Institute of Communications Engineering, National Sun Yat-sen University, Kaohsiung, TaiwanInstitute of Communications Engineering, National Sun Yat-sen University, Kaohsiung, TaiwanMassive multiple-input multiple-output (MIMO) systems and millimeter-wave (mmWave) spectrum are key technologies for enabling next-generation wireless communications. To fully exploit the array and multiplexing gains, beamforming or precoding strategies require accurate information about the multiple multipath components (MPCs) in the mmWave channel. In this paper, we propose a novel hierarchical multi-beam search algorithm for channel estimation in mmWave MIMO systems aiming to enhance beamforming performance. The proposed algorithm enables efficient channel estimation and precoding design in massive MIMO systems with uniform planar arrays with any composite number of horizontal and vertical elements. Thus, it overcomes the limitations of existing hierarchical codebooks, which mostly support uniform linear arrays with an antenna count that is a power of an integer. The proposed algorithm reduces training overhead using a low-complexity least-squares-based refinement approach. The simulation results show that the failure rate of the proposed algorithm is comparable to that of current methods but with a lower training cost and complexity. Moreover, the simulation results also show that the spectral efficiency of the precoding scheme determined using the proposed search algorithm and codebook is the highest compared to existing methods. Numerical results show that the proposed method achieves more accurate spatial angle estimation than existing approaches, even in the presence of hardware impairments, highlighting its superior flexibility and robustness in practical scenarios.https://ieeexplore.ieee.org/document/11015521/Hierarchical beam searchinghierarchical codebookleast-squaresmmWave MIMOuniform planar arrays
spellingShingle Dony Darmawan Putra
Wan-Jen Huang
Flexible Hierarchical Multi-Beam Search Algorithm for Millimeter-Wave 3D MIMO Systems With Uniform Planar Arrays
IEEE Open Journal of the Communications Society
Hierarchical beam searching
hierarchical codebook
least-squares
mmWave MIMO
uniform planar arrays
title Flexible Hierarchical Multi-Beam Search Algorithm for Millimeter-Wave 3D MIMO Systems With Uniform Planar Arrays
title_full Flexible Hierarchical Multi-Beam Search Algorithm for Millimeter-Wave 3D MIMO Systems With Uniform Planar Arrays
title_fullStr Flexible Hierarchical Multi-Beam Search Algorithm for Millimeter-Wave 3D MIMO Systems With Uniform Planar Arrays
title_full_unstemmed Flexible Hierarchical Multi-Beam Search Algorithm for Millimeter-Wave 3D MIMO Systems With Uniform Planar Arrays
title_short Flexible Hierarchical Multi-Beam Search Algorithm for Millimeter-Wave 3D MIMO Systems With Uniform Planar Arrays
title_sort flexible hierarchical multi beam search algorithm for millimeter wave 3d mimo systems with uniform planar arrays
topic Hierarchical beam searching
hierarchical codebook
least-squares
mmWave MIMO
uniform planar arrays
url https://ieeexplore.ieee.org/document/11015521/
work_keys_str_mv AT donydarmawanputra flexiblehierarchicalmultibeamsearchalgorithmformillimeterwave3dmimosystemswithuniformplanararrays
AT wanjenhuang flexiblehierarchicalmultibeamsearchalgorithmformillimeterwave3dmimosystemswithuniformplanararrays