@ARTICLE{GUE_Com_2020,
author = "GUEVARA IBARRA, DINAEL - Hidalgo Monsalve, Dúmar - Medina Delgado, Byron - Alvarez Guerrero, Jesús - Amaya Fernandez, Ferney Orlando",
title = "Compensation of frequency mismatch between transmitter and receiver local oscillators to enhance 5G-based radio-over-fiber transmissions",
abstract = "Radio-over-fiber is a cost-effective support for the forthcoming 5G developments aimed to fulfill the ever-increasing demand for information. However, such systems are limited by transmission impairments that reduce the quality of communication. To enhance the system performance, an adaptive decision-feedback equalizer based on the least mean square algorithm is proposed in this work to compensate for frequency mismatch in the transmitter and receiver local oscillators in a radio-over-fiber transmission scenario when considering the latest 5G New radio standard. Simulation results in MATLAB exhibit a major impact from the equalization technique in improving the system performance in the presence of such a frequency offset, allowing the optical link to be extended from ∼100 km with no equalizer up to ∼690 km after equalization. Thus, it was demonstrated that the proposed adaptive equalization technique is a promising contender to enhance 5G-based Radio-over-Fiber data transmissions.",
year = 2020,
publisher = "Journal of Physics: Conference Series",
url = "https://repositorio.ufps.edu.co/handle/ufps/836",
}