A nonlinear equalization method using deep learning to improve ROF transmission quality of a continuous-phase frequency modulated two-channel C-RAN connection

Radio over Fiber (RoF) stands as a cuttingedge technology poised to revolutionize emerging wireless networks, especially in the context of fifth-generation Cloud-Radio Access Networks (C-RAN). Concurrently, with the pervasive integration of deep learning across diverse domains such as communication and data processing, this investigation delves into the nonlinear effects observed in a fronthaul interface.