Radio-over-fiber linearization with optimized genetic algorithm CPWL model

Mateo, C. ; Carro, P.L. (Universidad de Zaragoza) ; García-Dúcar, P. (Universidad de Zaragoza) ; Mingo, J. de (Universidad de Zaragoza) ; Salinas, I. (Universidad de Zaragoza)
Radio-over-fiber linearization with optimized genetic algorithm CPWL model
Resumen: This article proposes an optimized version of a canonical piece-wise-linear (CPWL) digital predistorter in order to enhance the linearity of a radio-over-fiber (RoF) LTE mobile fronthaul. In this work, we propose a threshold allocation optimization process carried out by a genetic algorithm (GA) in order to optimize the CPWL model (GA-CPWL). Firstly, experiments show how the CPWL model outperforms the classical memory polynomial DPD in an intensity modulation/direct detection (IM/DD) RoF link. Then, the GA-CPWL predistorter is compared with the CPWL model in several scenarios, in order to verify that the proposed DPD offers better performance in different optical transmission conditions. Experimental results reveal that with a proper threshold allocation, the GA-CPWL predistorter offers very promising outcomes.
Idioma: Inglés
DOI: 10.1364/OE.25.003694
Año: 2017
Publicado en: OPTICS EXPRESS 25, 4 (2017), 3694-3708
ISSN: 1094-4087

Factor impacto JCR: 3.356 (2017)
Categ. JCR: OPTICS rank: 19 / 93 = 0.204 (2017) - Q1 - T1
Factor impacto SCIMAGO: 1.519 - Atomic and Molecular Physics, and Optics (Q1)

Financiación: info:eu-repo/grantAgreement/ES/DGA/GCM-T97
Financiación: info:eu-repo/grantAgreement/ES/MINECO/TEC2014-58341-C4-2-R
Tipo y forma: Article (Published version)
Área (Departamento): Área Teoría Señal y Comunicac. (Dpto. Ingeniería Electrón.Com.)

Creative Commons You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.


Exportado de SIDERAL (2024-01-22-15:31:31)


Visitas y descargas

Este artículo se encuentra en las siguientes colecciones:
Articles



 Record created 2017-03-22, last modified 2024-01-22


Versión publicada:
 PDF
Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)