Fiber Nonlinearity Mitigation for mQAM Coherent Optical Communication System Utilizing Random Forest Algorithm

被引：0

作者：

Zhan, Guanqun ^{[1
]}

Yi, Anlin ^{[1
]}

Yang, Jianbo ^{[1
]}

Yan, Lianshan ^{[1
]}

Jiang, Lin ^{[1
]}

Luo, Bin ^{[1
]}

机构：

[1] Southwest Jiaotong Univ, Sch Informat Sci & Technol, Ctr Informat Photon & Commun, Chengdu, Peoples R China

来源：

2022 ASIA COMMUNICATIONS AND PHOTONICS CONFERENCE, ACP | 2022年

关键词：

coherent optical communication system; decision tree; random forest algorithm; probabilistic shaping technology; nonlinear mitigation; NETWORKS;

D O I：

10.1109/ACP55869.2022.10088718

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, the random forest approach is used to mitigate fiber nonlinear damage in a coherent optical communication system. The feasibility of the proposed method is verified in both uniformly distributed m-level quadrature amplitude modulation (mQAM) and probabilistic shaping (PS) mQAM long-haul coherent optical communication system. All of the simulation findings indicate that the tolerance of nonlinearity can be improved by applying this algorithm. As a result, the optimal incoming fiber power can be increased in contrast with using only chromatic dispersion compensation (CDC).

引用

页码：677 / 681

页数：5

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