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)

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.)