Forest Equalization for Coherent Optical Transmission Systems
Date:
The performance of modern optical communication systems is a bottleneck of modern technology, and to enhance this performance, we must mitigate the linear and nonlinear distortions that occur during signal propagation through optical fibers. In recent years, the advantages of machine learning techniques have inspired researchers to expand these advantages for nonlinear equalization. Several works have demonstrated the ability of smart equalizers based on neural networks to “understand” system parameters and predict nonlinear distortions. The goal of this study was to explore the use of Gradient Boosting (GB) technique for nonlinear equalization in optical transmission systems. In practical implementation, the use of GB can be implemented through the use of pretrained switchers on a field-programmable gate array (FPGA)
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