A General Order Reduction Method of Wideband Digital Predistortion Model Using Attention Mechanism

In wireless networks, for the common in-phase and quadrature-phase (I/Q) imbalance in the transmitters, the I/Q branch models of digital predistortion (DPD) need to be identified separately, to improve the linearization effects. The existing order reduction methods of the predistorter are based on t...

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Autores principales:	Zhijun Liu, Xin Hu, Weidong Wang
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi-Wiley 2021
Materias:	Technology T Telecommunication TK5101-6720
Acceso en línea:	https://doaj.org/article/ab32a5507f1b47b4b1a2867ff824dce3
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id	oai:doaj.org-article:ab32a5507f1b47b4b1a2867ff824dce3
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spelling	oai:doaj.org-article:ab32a5507f1b47b4b1a2867ff824dce32021-11-15T01:19:02ZA General Order Reduction Method of Wideband Digital Predistortion Model Using Attention Mechanism1530-867710.1155/2021/6043391https://doaj.org/article/ab32a5507f1b47b4b1a2867ff824dce32021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/6043391https://doaj.org/toc/1530-8677In wireless networks, for the common in-phase and quadrature-phase (I/Q) imbalance in the transmitters, the I/Q branch models of digital predistortion (DPD) need to be identified separately, to improve the linearization effects. The existing order reduction methods of the predistorter are based on the contributions of the complex basis function terms, so as not to deal with the different contributions of I/Q components of the complex basis function terms caused by the separate identification of the I/Q branch models. The separate pruning of the I/Q branch models will increase the complexity. Aiming at this issue, this paper proposes a general order reduction method based on the attention mechanism for the predistortion of the power amplifiers (PAs). This method is suitable for pruning both the traditional models and neural network-based models. In this method, the attention mechanism is used to evaluate the contributions of the real basis function terms to the predistorted output’s I/Q components through offline training, and the influence of the cross terms of the I/Q branch models is considered. The experimental results based on the comparison with other typical methods under 100 MHz Doherty PA and different I/Q imbalance levels show that this method has superior pruning performance and good linearization ability.Zhijun LiuXin HuWeidong WangHindawi-WileyarticleTechnologyTTelecommunicationTK5101-6720ENWireless Communications and Mobile Computing, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Technology T Telecommunication TK5101-6720
spellingShingle	Technology T Telecommunication TK5101-6720 Zhijun Liu Xin Hu Weidong Wang A General Order Reduction Method of Wideband Digital Predistortion Model Using Attention Mechanism
description	In wireless networks, for the common in-phase and quadrature-phase (I/Q) imbalance in the transmitters, the I/Q branch models of digital predistortion (DPD) need to be identified separately, to improve the linearization effects. The existing order reduction methods of the predistorter are based on the contributions of the complex basis function terms, so as not to deal with the different contributions of I/Q components of the complex basis function terms caused by the separate identification of the I/Q branch models. The separate pruning of the I/Q branch models will increase the complexity. Aiming at this issue, this paper proposes a general order reduction method based on the attention mechanism for the predistortion of the power amplifiers (PAs). This method is suitable for pruning both the traditional models and neural network-based models. In this method, the attention mechanism is used to evaluate the contributions of the real basis function terms to the predistorted output’s I/Q components through offline training, and the influence of the cross terms of the I/Q branch models is considered. The experimental results based on the comparison with other typical methods under 100 MHz Doherty PA and different I/Q imbalance levels show that this method has superior pruning performance and good linearization ability.
format	article
author	Zhijun Liu Xin Hu Weidong Wang
author_facet	Zhijun Liu Xin Hu Weidong Wang
author_sort	Zhijun Liu
title	A General Order Reduction Method of Wideband Digital Predistortion Model Using Attention Mechanism
title_short	A General Order Reduction Method of Wideband Digital Predistortion Model Using Attention Mechanism
title_full	A General Order Reduction Method of Wideband Digital Predistortion Model Using Attention Mechanism
title_fullStr	A General Order Reduction Method of Wideband Digital Predistortion Model Using Attention Mechanism
title_full_unstemmed	A General Order Reduction Method of Wideband Digital Predistortion Model Using Attention Mechanism
title_sort	general order reduction method of wideband digital predistortion model using attention mechanism
publisher	Hindawi-Wiley
publishDate	2021
url	https://doaj.org/article/ab32a5507f1b47b4b1a2867ff824dce3
work_keys_str_mv	AT zhijunliu ageneralorderreductionmethodofwidebanddigitalpredistortionmodelusingattentionmechanism AT xinhu ageneralorderreductionmethodofwidebanddigitalpredistortionmodelusingattentionmechanism AT weidongwang ageneralorderreductionmethodofwidebanddigitalpredistortionmodelusingattentionmechanism AT zhijunliu generalorderreductionmethodofwidebanddigitalpredistortionmodelusingattentionmechanism AT xinhu generalorderreductionmethodofwidebanddigitalpredistortionmodelusingattentionmechanism AT weidongwang generalorderreductionmethodofwidebanddigitalpredistortionmodelusingattentionmechanism
_version_	1718429002341810176

A General Order Reduction Method of Wideband Digital Predistortion Model Using Attention Mechanism

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