Agnostic envelope linearization of dynamically supplied power amplifiers for mobile terminals

This paper presents an envelope linearization technique to compensate for the nonlinear distortion of envelope tracking (ET) power amplifiers (PAs) for 5G new radio (NR) mobile terminals. The proposed envelope optimization (EOPT) method is agnostic of the nonlinear distortion generated in the envelo...

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Autores: Li, Wantao|||0000-0002-2634-6742, Montoro López, Gabriel|||0000-0002-1328-4175, Gilabert Pinal, Pere Lluís|||0000-0001-6183-6977
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/370316
Acceso en línea:https://hdl.handle.net/2117/370316
https://dx.doi.org/10.3390/s22103773
Access Level:acceso abierto
Palabra clave:Power amplifiers
Digital predistortion
Envelope tracking
Power amplifier
RF leakage
Amplificadors de potència
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
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network_name_str España
repository_id_str
spelling Agnostic envelope linearization of dynamically supplied power amplifiers for mobile terminalsLi, Wantao|||0000-0002-2634-6742Montoro López, Gabriel|||0000-0002-1328-4175Gilabert Pinal, Pere Lluís|||0000-0001-6183-6977Power amplifiersDigital predistortionEnvelope trackingPower amplifierRF leakageAmplificadors de potènciaÀrees temàtiques de la UPC::Enginyeria de la telecomunicacióThis paper presents an envelope linearization technique to compensate for the nonlinear distortion of envelope tracking (ET) power amplifiers (PAs) for 5G new radio (NR) mobile terminals. The proposed envelope optimization (EOPT) method is agnostic of the nonlinear distortion generated in the envelope supply path and can compensate for the nonlinear distortion at the ET PA output without the need to monitor the output at the envelope tracking modulator (ETM). The linearization system in the envelope path is based on the envelope generalized memory polynomial (EGMP) behavioral model. Since the ETM output is not available, an iterative nonlinear least squares solution inspired in the deep deterministic policy gradient (DDPG) algorithm is proposed to extract the coefficients of the EGMP model. The EOPT method is validated on a system-on-chip (SoC) ET PA board designed for mobile terminal applications. Experimental results show the suitability of the proposed method to guarantee the linearity requirements (i.e., adjacent channel power ratio below -36 dBc) with 16.8% of power efficiency when operating the ET PA with 5G new radio test signals of 60 MHz bandwidth operating at 2.55 GHz (band 7). The linearization performance of the proposed EOPT method is comparable to the envelope leakage cancellation (ELC) approach (but saving the need for an analog to digital converter to monitor the ETM output), and can outperform a conventional I-Q digital predistorter based on the generalized memory polynomial (GMP) behavioral model.This research was funded by Huawei Technologies from July 2020 to August 2021; and supported in part by the project PID2020-113832RB-C21 funded by MCIN/AEI/10.13039/50110001103 and in part by the Government of Catalonia and the European Social Fund under Grant 2021-FI-B-137.Peer ReviewedMultidisciplinary Digital Publishing Institute (MDPI)20222022-05-1620222022-07-18journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/370316https://dx.doi.org/10.3390/s22103773reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)InglésengAgencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-113832RB-C21 DISPOSITIVOS ASISTIDOS POR TECNICAS DE DEEP Y MACHINE LEARNING PARA TRANSCEPTORES DE RADIOFRECUENCIA ALTAMENTE EFICIENTESopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/3703162026-05-27T15:37:01Z
dc.title.none.fl_str_mv Agnostic envelope linearization of dynamically supplied power amplifiers for mobile terminals
title Agnostic envelope linearization of dynamically supplied power amplifiers for mobile terminals
spellingShingle Agnostic envelope linearization of dynamically supplied power amplifiers for mobile terminals
Li, Wantao|||0000-0002-2634-6742
Power amplifiers
Digital predistortion
Envelope tracking
Power amplifier
RF leakage
Amplificadors de potència
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
title_short Agnostic envelope linearization of dynamically supplied power amplifiers for mobile terminals
title_full Agnostic envelope linearization of dynamically supplied power amplifiers for mobile terminals
title_fullStr Agnostic envelope linearization of dynamically supplied power amplifiers for mobile terminals
title_full_unstemmed Agnostic envelope linearization of dynamically supplied power amplifiers for mobile terminals
title_sort Agnostic envelope linearization of dynamically supplied power amplifiers for mobile terminals
dc.creator.none.fl_str_mv Li, Wantao|||0000-0002-2634-6742
Montoro López, Gabriel|||0000-0002-1328-4175
Gilabert Pinal, Pere Lluís|||0000-0001-6183-6977
author Li, Wantao|||0000-0002-2634-6742
author_facet Li, Wantao|||0000-0002-2634-6742
Montoro López, Gabriel|||0000-0002-1328-4175
Gilabert Pinal, Pere Lluís|||0000-0001-6183-6977
author_role author
author2 Montoro López, Gabriel|||0000-0002-1328-4175
Gilabert Pinal, Pere Lluís|||0000-0001-6183-6977
author2_role author
author
dc.subject.none.fl_str_mv Power amplifiers
Digital predistortion
Envelope tracking
Power amplifier
RF leakage
Amplificadors de potència
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
topic Power amplifiers
Digital predistortion
Envelope tracking
Power amplifier
RF leakage
Amplificadors de potència
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
description This paper presents an envelope linearization technique to compensate for the nonlinear distortion of envelope tracking (ET) power amplifiers (PAs) for 5G new radio (NR) mobile terminals. The proposed envelope optimization (EOPT) method is agnostic of the nonlinear distortion generated in the envelope supply path and can compensate for the nonlinear distortion at the ET PA output without the need to monitor the output at the envelope tracking modulator (ETM). The linearization system in the envelope path is based on the envelope generalized memory polynomial (EGMP) behavioral model. Since the ETM output is not available, an iterative nonlinear least squares solution inspired in the deep deterministic policy gradient (DDPG) algorithm is proposed to extract the coefficients of the EGMP model. The EOPT method is validated on a system-on-chip (SoC) ET PA board designed for mobile terminal applications. Experimental results show the suitability of the proposed method to guarantee the linearity requirements (i.e., adjacent channel power ratio below -36 dBc) with 16.8% of power efficiency when operating the ET PA with 5G new radio test signals of 60 MHz bandwidth operating at 2.55 GHz (band 7). The linearization performance of the proposed EOPT method is comparable to the envelope leakage cancellation (ELC) approach (but saving the need for an analog to digital converter to monitor the ETM output), and can outperform a conventional I-Q digital predistorter based on the generalized memory polynomial (GMP) behavioral model.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-05-16
2022
2022-07-18
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/370316
https://dx.doi.org/10.3390/s22103773
url https://hdl.handle.net/2117/370316
https://dx.doi.org/10.3390/s22103773
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-113832RB-C21 DISPOSITIVOS ASISTIDOS POR TECNICAS DE DEEP Y MACHINE LEARNING PARA TRANSCEPTORES DE RADIOFRECUENCIA ALTAMENTE EFICIENTES
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
publisher.none.fl_str_mv Multidisciplinary Digital Publishing Institute (MDPI)
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,300724

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