Nonlinear impairment compensation method for Long-haul Fiber-optic communication system

YUAN Ying; SHEN Yuanxun; SHEN Ping

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Nonlinear impairment compensation method for Long-haul Fiber-optic communication system

Optical Information Technology | 更新时间：2025-10-09

- Nonlinear impairment compensation method for Long-haul Fiber-optic communication system
- OPTICAL TECHNIQUE Vol. 51, Issue 4, Pages: 400-407(2025)
- 作者机构：
  
  1.湖北职业技术学院信息工程学院，湖北孝感 432000
  2.东北大学计算机与通信工程学院，河北秦皇岛 066004
  3.湖北职业技术学院教务处，湖北孝感 432000
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP394.1;TH691.9
- Received：26 March 2025，
  
  Revised：2025-05-17，
  
  Published：20 July 2025
- 稿件说明：
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袁瑛,沈袁勋,沈平.长距离光纤通信系统的非线性损伤补偿方法[J].光学技术,2025,51(04):400-407.

YUAN Ying,SHEN Yuanxun,SHEN Ping.Nonlinear impairment compensation method for Long-haul Fiber-optic communication system[J].OPTICAL TECHNIQUE,2025,51(04):400-407.
袁瑛,沈袁勋,沈平.长距离光纤通信系统的非线性损伤补偿方法[J].光学技术,2025,51(04):400-407. DOI：

YUAN Ying,SHEN Yuanxun,SHEN Ping.Nonlinear impairment compensation method for Long-haul Fiber-optic communication system[J].OPTICAL TECHNIQUE,2025,51(04):400-407. DOI：

摘要

随着传输速率与传输距离的增加，非线性损伤对长距离光纤通信系统性能的影响愈发显著，严重制约了系统性能。为了缓解长距离光纤通信中非线性损伤的综合效应，提出一种基于双分支混合神经网络的长距离光通信非线性损伤补偿方法。该模型利用信道记忆从时域捕捉信道损伤的全局特征，利用历史信息优化当前符号的特征学习；通过基于卷积神经网络的实数分支捕获星座图中符号的空间特征，并采用通道注意力机制和空间注意力机制增强模型对非线性损伤相关空间特征的学习能力；通过复数分支捕获复数符号相位与幅度变化的隐含信息，从而有效补偿非线性损伤的综合效应。以自相位调制和交叉相位调制为主要非线性效应建立了数值仿真模型，仿真结果表明，在不同发射光功率、传输距离和符号率条件下，所提方法均能实现较低的误码率，并表现出良好的稳定性。

Abstract

With the increase in transmission rate and transmission distance

the impact of nonlinear impairments on the performance of long-haul fiber-optic communication systems becomes increasingly significant

severely restricting overall system performance. In order to mitigate integrated effects of nonlinear impairment for the long-haul fiber-optic communication system

a dual-branch hybrid neural network-based nonlinear impairment compensation method for the long-haul optical communication system is proposed. Firstly

the channel memory is leveraged by the model to capture the global feature of channel impairments in the time domain

so as to optimize feature learning of current symbols through historical information; Secondly

the spatial features of symbols in the constellation diagram are captured by the real-valued branch based on convolutional neural networks

and the channel attention mechanism and the spatial attention mechanism are adopted to enhance the learning capability of the model for nonlinear impairment-related spatial features; Finally

the latent information of phase and amplitude variations of complex symbols is captured by the complex-valued branch

thereby the combined effects of nonlinear impairments are effectively compensated. Numerical simulation is established with self-phase modulation and cross-phase modulation as the primary nonlinear effects

simulation results demonstrate that the proposed method achieves a lower bit error rate and exhibits stability under varying conditions of transmitted optical power

transmission distance and symbol rate.

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references

邰进 , 刘辰屹 , 杨芫 , 等 . 低成本大规模直播流量工程 [J ] . 清华大学学报（自然科学版） , 2024 , 64 （ 3 ）: 591 — 601 .

Tai Jin , Liu Chenyi , Yang Yuan , et al . Low-cost traffic engineering for large-scale live streaming [J ] . Journal of Tsinghua University（Science and Technology） , 2024 , 64 （ 3 ）: 591 — 600 .

卞玲艳 , 曾艳萍 , 蔡莹 , 等 . 大数据时代光电共封技术的机遇与挑战 [J ] . 激光与光电子学进展 , 2024 , 61 （ 9 ）: 65 — 76 .

Bian Lingyan , Zeng Yanping , Cai Ying , et al . Opportunities and challenges of optoelectronic co-packaging technology in the era of big data [J ] . Laser & Optoelectronics Progress , 2024 , 61 （ 9 ）: 65 — 76 .

Kaur P , Dhawan D , Gupta N . Design and analysis of a soliton-based WDM system for performance enhancement of long-haul communication [J ] . Optoelectronics and Advanced Materials-Rapid Communications , 2024 ,18 （ 3 / 4 ）: 144 — 149 .

Cui J , Kong W , Liu Z , et al . Dynamic secure key distribution based on dispersion equalization and cellular automata for optical transmission [J ] . Photonics , 2023 , 10 （ 12 ）: 1308 — 1317 .

施伟华 , 蔡萌雅 , 娄跃 , 等 . 新型宽带低损耗单模空芯反谐振光纤的研究 [J ] . 激光与光电子学进展 , 2025 , 62 （ 07 ）: 0706004.1 — 0706004.8 .

Shi Weihua , Cai Mengya , Lou Yue , et al . Novel broadband low-loss single-mode hollow-core anti-resonant fiber [J ] . Laser & Optoelectronics Progress , 2025 , 62 （ 7 ）: 0706004.1 — 0706004.8 .

Chi X , Bai C , Yang F , et al . Joint intra and inter-channel nonlinear compensation scheme based on improved learned digital back propagation for WDM systems [J ] . Optics Express , 2024 , 32 （ 4 ）: 22 — 32 .

Huang J , Yi A , Yan , et al . Fast fiber nonlinearity compensation method for PDM coherent optical transmission systems based on the Fourier neural operator [J ] . Optics Express , 2024 , 32 （ 2 ）: 2245 — 2256 .

陈志江 , 刘逢清 . OBP与DBP联合补偿的112Gb/s DP-16QAM信号传输性能分析 [J ] . 光通信技术 , 2017 , 41 （ 4 ）: 16 — 19 .

Chen Zhijiang , Liu Fengqing . Transmission performance analysis of 112Gb/s DP-16QAM signal using OBP combined with DBP compensation [J ] . Optical Communication Technology , 2017 , 41 （ 4 ）: 16 — 19 .

Hadjadji N , Hamdi R . Nonlinearity mitigation of self-phase modulation effect in coherent optical system [J ] . Journal of Optical Communications , 2024 , 45 （ 4 ）: 853 — 862 .

Nguyen T , Mhatli S , Giacoumidis E , et al . Fiber nonlinearity equalizer based on support vector classification for coherent optical ofdm [J ] . IEEE Photonics Journal , 2017 , 8 （ 2 ）: 1 — 9 .

Torkaman P , Latifi S M , Feng K M , et al . Nonlinearity-robust im/dd thz communication system via two-stage deep learning equalizer [J ] . IEEE Communications Letters: A publication of the IEEE Communications Society , 2024 , 28 （ 8 ）: 1805 — 1809 .

Wang Y , Guo Q , Liu X Y . Doubly selective channel estimation and equalization based on ICI/ISI mitigation for OQAM-FBMC systems [J ] . Physical Communication , 2023 , 59 （ 8 ）: 102120.1 — 102120.10 .

Bakhshali A , Najafi H , Hamgini B Z Z . Neural network architectures for optical channel nonlinear compensation in digital subcarrier multiplexing systems [J ] . Optics Express , 2023 , 31 （ 16 ）: 26418 — 26434 .

Sidelnikov O , Redyuk A , Sygletos S , et al . Advanced convolutional neural networks for nonlinearity mitigation in long-haul wdm transmission systems [J ] . Journal of Lightwave Technology , 2021 , 39 （ 8 ）: 2397 — 2406 .

Xu Z , Sun C , Ji T , et al . Cascade recurrent neural network-assisted nonlinear equalization for a 100Gb/s PAM4 short-reach direct detection system [J ] . Optics Letters , 2020 , 45 （ 15 ）: 4216 — 4219 .

Deligiannidis S , Mesaritakis C , Bogris A . Performance and complexity analysis of bi-directional recurrent neural network models vs [J ] . Volterra Nonlinear Equalizers in Digital Coherent Systems , 2021 , 39 （ 18 ）: 5791 — 5798 .

Sidelnikov Oleg , Redyuk Alexey , Sygletos Stylianos . Equalization performance and complexity analysis of dynamic deep neural networks in long haul transmission systems [J ] . Optics Express , 2018 , 26 （ 25 ）: 32765 — 32776 .

Bogdanov S A , Sidelnikov O S . Use of complex fully connected neural networks to compensate for nonlinear effects in fibre-optic communication lines [J ] . Quantum Electronics , 2021 , 51 （ 5 ）: 459 — 462 .

Freire P J , Neskorniuk V , Napoli A , et al . Complex-valued neural network design for mitigation of signal distortions in optical links [J ] . Journal of Lightwave Technology , 2020 , 39 （ 6 ）: 1696 — 1705 .

Pan J T , Zhu B H , Ma L L , et al . Nonlinear geometric phase coded ferroelectric nematic fluids for nonlinear soft-matter photonics [J ] . Nature Communications , 2024 , 15 （ 1 ）: 8732 — 8743 .

Xu H , Jin Y . The asymptotic expansion for a class of non-linear singularly perturbed problems with optimal control [J ] . Journal of Nonlinear Sciences & Applications （JNSA） , 2016 , 4 （ 9 ）: 2718 — 2726 .

Lin X , Luo S , Soman S K O , et al . Perturbation theory-aided learned digital back-propagation scheme for optical fiber nonlinearity compensation [J ] . Lightwave Technology , IEEE/OSA Journal of （J-LT）, 2022 , 40 （ 7 ）: 1981 — 1988 .

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