
Compensation of frequency mismatch between transmitter and receiver local oscillators to enhance 5G-based radio-over-fiber transmissions
Author(s) -
Dúmar Hidalgo-Monsalve,
Byron Medina Delgado,
D Guevara-Ibarra,
Ferney Amaya-Fernández,
Jesús Álvarez-Guerrero
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1708/1/012020
Subject(s) - transmitter , adaptive equalizer , frequency offset , radio over fiber , computer science , equalization (audio) , equalizer , electronic engineering , transmission (telecommunications) , compensation (psychology) , offset (computer science) , radio frequency , telecommunications , engineering , orthogonal frequency division multiplexing , decoding methods , psychology , channel (broadcasting) , psychoanalysis , programming language
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.