基于一阶摄动理论和神经网络的联合建模

2022 20th International Conference on Optical Communications and Networks (ICOCN) Pub Date : 2022-08-12 DOI:10.1109/ICOCN55511.2022.9901318

Haifeng Yang, Yongjun Wang, Chao Li, Xianda Ren, Qi Zhang

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引用次数: 0

摘要

本文利用一阶摄动理论和神经网络对信道内非线性进行了联合建模。采用双极化64正交幅调制(64- qam)的120gb /s信号进行验证。

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Joint Modeling Based on The First-Order Perturbation Theory and Neural Network

In this paper, we use the first-order perturbation theory and neural network to jointly model the intra-channel nonlinearity. The 120 Gb/s signal of dual-polarization 64- quadrature-amplitude-modulation (64-QAM) is used to verify.

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来源期刊

2022 20th International Conference on Optical Communications and Networks (ICOCN)

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