Low computational complexity for optimizing energy efficiency in mm-wave hybrid precoding system for 5G

Millimeter-wave (mm-wave) communication is the spectral frontier to meet the anticipated significant volume of high data traffic processing in next-generation systems. The primary challenges in mm-wave can be overcome by reducing complexity and power consumption by large antenna arrays for massiv...

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Main Authors: Salh, Adeb, Audah, Lukman, Abdullah, Qazwan, Aydoğdu, Ömer, A. Alhartomi, Mohammed, Alsamhi, Saeed Hamood, A. Almalki, Faris, M. Shah, Nor Shahida
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers 2021
Subjects:
Online Access:http://eprints.uthm.edu.my/6613/1/J13838_edeaca023bea9f1d647a5124bd0b7fc6.pdf
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author Salh, Adeb
Audah, Lukman
Abdullah, Qazwan
Aydoğdu, Ömer
A. Alhartomi, Mohammed
Alsamhi, Saeed Hamood
A. Almalki, Faris
M. Shah, Nor Shahida
author_facet Salh, Adeb
Audah, Lukman
Abdullah, Qazwan
Aydoğdu, Ömer
A. Alhartomi, Mohammed
Alsamhi, Saeed Hamood
A. Almalki, Faris
M. Shah, Nor Shahida
author_sort Salh, Adeb
collection UTHM
description Millimeter-wave (mm-wave) communication is the spectral frontier to meet the anticipated significant volume of high data traffic processing in next-generation systems. The primary challenges in mm-wave can be overcome by reducing complexity and power consumption by large antenna arrays for massive multiple-input multiple-output (mMIMO) systems. However, the circuit power consumption is expected to increase rapidly. The precoding in mm-wave mMIMO systems cannot be successfully achieved at baseband using digital precoders, owing to the high cost and power consumption of signal mixers and analog-to-digital converters. Nevertheless, hybrid analog–digital precoders are considered a cost-effective solution. In this work, we introduce a novel method for optimizing energy efficiency (EE) in the upper-bound multiuser (MU) - mMIMO system and the cost efficiency of quantized hybrid precoding (HP) design. We propose effective alternating minimization algorithms based on the zero gradient method to establish fully-connected structures (FCSs) and partially-connected structures (PCSs). In the alternating minimization algorithms, low complexity is proposed by enforcing an orthogonal constraint on the digital precoders to realize the joint optimization of computational complexity and communication power. Therefore, the alternating minimization algorithm enhances HP by improving the performance of the FCS through advanced phase extraction, which involves high complexity. Meanwhile, the alternating minimization algorithm develops a PCS to achieve low complexity using HP. The simulation results demonstrate that the proposed algorithm for MU - mMIMO systems improves EE. The power-saving ratio is also enhanced for PCS and FCS by 48.3% and 17.12%, respectively.
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spelling uthm.eprints-66132022-03-10T03:18:02Z http://eprints.uthm.edu.my/6613/ Low computational complexity for optimizing energy efficiency in mm-wave hybrid precoding system for 5G Salh, Adeb Audah, Lukman Abdullah, Qazwan Aydoğdu, Ömer A. Alhartomi, Mohammed Alsamhi, Saeed Hamood A. Almalki, Faris M. Shah, Nor Shahida TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television Millimeter-wave (mm-wave) communication is the spectral frontier to meet the anticipated significant volume of high data traffic processing in next-generation systems. The primary challenges in mm-wave can be overcome by reducing complexity and power consumption by large antenna arrays for massive multiple-input multiple-output (mMIMO) systems. However, the circuit power consumption is expected to increase rapidly. The precoding in mm-wave mMIMO systems cannot be successfully achieved at baseband using digital precoders, owing to the high cost and power consumption of signal mixers and analog-to-digital converters. Nevertheless, hybrid analog–digital precoders are considered a cost-effective solution. In this work, we introduce a novel method for optimizing energy efficiency (EE) in the upper-bound multiuser (MU) - mMIMO system and the cost efficiency of quantized hybrid precoding (HP) design. We propose effective alternating minimization algorithms based on the zero gradient method to establish fully-connected structures (FCSs) and partially-connected structures (PCSs). In the alternating minimization algorithms, low complexity is proposed by enforcing an orthogonal constraint on the digital precoders to realize the joint optimization of computational complexity and communication power. Therefore, the alternating minimization algorithm enhances HP by improving the performance of the FCS through advanced phase extraction, which involves high complexity. Meanwhile, the alternating minimization algorithm develops a PCS to achieve low complexity using HP. The simulation results demonstrate that the proposed algorithm for MU - mMIMO systems improves EE. The power-saving ratio is also enhanced for PCS and FCS by 48.3% and 17.12%, respectively. Institute of Electrical and Electronics Engineers 2021 Article PeerReviewed text en http://eprints.uthm.edu.my/6613/1/J13838_edeaca023bea9f1d647a5124bd0b7fc6.pdf Salh, Adeb and Audah, Lukman and Abdullah, Qazwan and Aydoğdu, Ömer and A. Alhartomi, Mohammed and Alsamhi, Saeed Hamood and A. Almalki, Faris and M. Shah, Nor Shahida (2021) Low computational complexity for optimizing energy efficiency in mm-wave hybrid precoding system for 5G. IEEE Access, 10. pp. 4714-4727. ISSN 2169-3536
spellingShingle TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Salh, Adeb
Audah, Lukman
Abdullah, Qazwan
Aydoğdu, Ömer
A. Alhartomi, Mohammed
Alsamhi, Saeed Hamood
A. Almalki, Faris
M. Shah, Nor Shahida
Low computational complexity for optimizing energy efficiency in mm-wave hybrid precoding system for 5G
title Low computational complexity for optimizing energy efficiency in mm-wave hybrid precoding system for 5G
title_full Low computational complexity for optimizing energy efficiency in mm-wave hybrid precoding system for 5G
title_fullStr Low computational complexity for optimizing energy efficiency in mm-wave hybrid precoding system for 5G
title_full_unstemmed Low computational complexity for optimizing energy efficiency in mm-wave hybrid precoding system for 5G
title_short Low computational complexity for optimizing energy efficiency in mm-wave hybrid precoding system for 5G
title_sort low computational complexity for optimizing energy efficiency in mm wave hybrid precoding system for 5g
topic TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
url http://eprints.uthm.edu.my/6613/1/J13838_edeaca023bea9f1d647a5124bd0b7fc6.pdf
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