Spectral power profile optimization of a field-deployed wavelength-division multiplexing network enabled by remote EDFA modeling
Spectral power profile optimization of a field-deployed wavelength-division multiplexing network enabled by remote EDFA modeling
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DOI：
10.1364/jocn.480557
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发表时间：
2023-03
影响因子：
5
通讯作者：
R. Jones;K. Bottrill;N. Taengnoi;P. Petropoulos;M. Yankov
中科院分区：
文献类型：
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作者：
R. Jones;K. Bottrill;N. Taengnoi;P. Petropoulos;M. Yankov
我们提出了一种技术，用于模拟掺铒光纤放大器（EDFA）在光纤网络中，放大器单元位于实验室外的一个遥远的节点。我们收集数据的光点对点链路与放大器作为唯一的放大阶段。使用探测信号并通过控制网络调整放大器的设置，对不同的放大器工作点进行建模。这些数据用于训练集成在物理EDFA模型中的机器学习算法。所获得的放大器的数学模型用于对具有多个放大级的网络和链路的所有放大器进行建模。为了确认建模的准确性，我们此后预测和优化发射功率分布的两个选定的链接在网络的439.4公里和592.4公里的长度。最大/平均信道光信噪比的预测误差为1.41/0.68 dB和1.62/0.83 dB的两个多跨度系统，分别实现，使用的EDFA模型上训练的单跨度系统与边际优化的发射功率分布。相对于未优化的传输，获得了高达2.2 dB的裕度改善。
We propose a technique for modeling erbium-doped fiber amplifiers (EDFAs) in optical fiber networks, where the amplifier unit is located at a distant node outside the laboratory. We collect data on an optical point-to-point link with the amplifier as the only amplification stage. Different amplifier operating points are modeled using probe signals and by adjusting the settings of the amplifier through a control network. The data are used to train a machine learning algorithm integrated within a physical EDFA model. The obtained mathematical model for the amplifier is used to model all amplifiers of a network and links with multiple amplification stages. To confirm the modeling accuracy, we thereafter predict and optimize launch power profiles of two selected links in the network of 439.4 km and 592.4 km lengths. Maximum/average channel optical signal-to-noise ratio prediction errors of 1.41/0.68 dB and 1.62/0.83 dB are achieved for the two multi-span systems, respectively, using the EDFA model trained on the single span system with margin-optimized launch power profiles. Up to 2.2 dB of margin improvements are obtained with respect to unoptimized transmission.