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...
- 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)