Tandem structure neural network-based channel power optimization in wavelength-division multiplexing systems

IF 2.6 3区计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC

Optical Fiber Technology Pub Date : 2024-11-26 DOI:10.1016/j.yofte.2024.104057

Shengnan Li, Yuchen Song, Xuhao Pang, Yao Zhang, Min Zhang, Danshi Wang

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引用次数: 0

Abstract

For C-band wavelength-division multiplexing (WDM) transmission systems, achieving balanced output channel power is a practical goal for performance maintenance, given the moderate fiber nonlinearity and sometimes outdated control and monitoring devices in these deployed systems. To accomplish this, we propose a digital twin (DT)-based tandem neural network (NN) structure for optimizing launch power profile. The proposed structure consists of two components: an optimization NN, which generates the optimized launched channel power based on a target output power profile, and a forward DT NN, pre-trained to predict output power profile after multi-span transmission. The proposed method enables fast and efficient launch power optimization on simulated links with arbitrary channel loadings and has been validated using open-source experimental data from links with heterogeneous spans and naked amplifiers. The power profile ripple can be reduced from more than 20 dB to 1.2 dB, providing an effective solution for practical C-band WDM systems.

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波分复用系统中基于串联结构神经网络的信道功率优化

对于 C 波段波分复用（WDM）传输系统而言，由于光纤存在一定的非线性，而且这些已部署系统中的控制和监控设备有时会过时，因此实现均衡的输出信道功率是性能维护的一个实际目标。为此，我们提出了一种基于数字孪生（DT）的串联神经网络（NN）结构，用于优化发射功率曲线。建议的结构由两部分组成：一个是优化神经网络，它根据目标输出功率曲线生成优化的发射信道功率；另一个是前向 DT 神经网络，它经过预先训练，可预测多跨度传输后的输出功率曲线。所提出的方法可在具有任意信道负载的模拟链路上实现快速、高效的发射功率优化，并利用具有异构跨度和裸放大器的链路的开源实验数据进行了验证。功率曲线纹波可从 20 多 dB 降至 1.2 dB，为实际 C 波段波分复用系统提供了有效的解决方案。

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来源期刊

Optical Fiber Technology 工程技术-电信学

CiteScore

4.80

自引率

11.10%

发文量

327

审稿时长

63 days

期刊介绍： Innovations in optical fiber technology are revolutionizing world communications. Newly developed fiber amplifiers allow for direct transmission of high-speed signals over transcontinental distances without the need for electronic regeneration. Optical fibers find new applications in data processing. The impact of fiber materials, devices, and systems on communications in the coming decades will create an abundance of primary literature and the need for up-to-date reviews. Optical Fiber Technology: Materials, Devices, and Systems is a new cutting-edge journal designed to fill a need in this rapidly evolving field for speedy publication of regular length papers. Both theoretical and experimental papers on fiber materials, devices, and system performance evaluation and measurements are eligible, with emphasis on practical applications.