Mitigation of Multi-user Access Impairments in 5G A-RoF-based Mobile Fronthaul utilizing Machine Learning for an Artificial Neural Network Nonlinear Equalizer

Abstract

We propose a complex-valued multi-level artificial neural network nonlinear equalizer (ANN-NLE) in bandwidth-efficient radio-over-fiber mobile fronthaul systems. The proposed ANN-NLE is experimentally demonstrated to mitigate intra/inter-band interferences caused by nonlinear impairments in multi-user environments.