An Interpretable Mapping from a Communication System to a Neural Network for Optimal Transceiver-Joint Equalization

Zhiqun Zhai, Hexun Jiang, Mengfan Fu +4

In this paper, we propose a scheme that utilizes the optimization ability of artificial intelligence (AI) for optimal transceiver-joint equalization in compensating for the optical…