Mitigation of distortions in radio-over-fiber systems using machine learning

Introduction— The ever-growing number of users connected to internet via mobile devices has driven to increase the research in the paradigm of hybrid optical networks called Radio-over-Fiber. These networks take advantages of the bandwidth given by the optical fiber and the mobility given by wireles...

Full description

Autores:
Torres Vahos, Diego Fernando
Escobar, Alejandro
Díaz Rodriguez, Cristian Alexis
Granada Torres, Jhon James
Tipo de recurso:
Article of journal
Fecha de publicación:
2021
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/10262
Acceso en línea:
https://hdl.handle.net/11323/10262
https://repositorio.cuc.edu.co/
Palabra clave:
Asymmetrical demodulation
Machine learning
Millimeter wave band
Radio-over-fiber
Support vector machine
Aprendizaje automático
Banda de ondas milimétricas
Demodulación asimétrica
Máquina de soporte vectorial
Radio-sobre-fibra
Rights
openAccess
License
Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)