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Modeling Edfa Gain: Approaches And Challenges

Di: Amelia

We consider the capacity optimization of submarine links when including a realistic model of the constant-pump erbium doped fiber amplifiers (EDFA) with gain-shaping filters (GSF). Black-box data-driven models have been widely studied, but it requires a large size of data for training and suffers from poor generalizability. In this paper, we derive the gain Modeling EDFA Gain: Approaches and Challenges Article Full-text available Sep 2021 Yichen Liu Xiaomin Liu Lei Liu Yihao Zhang Qunbi Zhuge

The wavelength-dependent gain effects of erbium-doped fiber amplifiers (EDFAs) have a great impact on transmission performance, and therefore a precise EDFA gain model is required. In

Figure 1 from Gain profile characterization and modelling for an ...

Request PDF | Building a digital twin of EDFA for optical networks: a grey-box modeling approach | High-accuracy physical layer models enable intelligent, self-driving optical Conclusion This research represents a significant advance in EDFA gain modeling by demonstrating how transfer learning and semi-supervised approaches can dramatically reduce

Machine Learning-Based EDFA Gain Model

The wavelength-dependent gain effects of erbium-doped fiber amplifiers (EDFAs) have a great impact on transmission performance, and therefore a precise EDFA gain model is of an EDFA required. In ‪Shanghai Jiao Tong University‬ – ‪‪引用次数：270 次‬‬ – ‪Optical Communications‬ – ‪Optical Networks‬ – ‪Digital Twin‬ – ‪Autonomous Driving Optical Networks‬

在本文中，我们首先总结了 EDFA 的基本原理和结构，并介绍了建模中的增益性能和挑战。 然后，我们回顾了 EDFA 增益建模方法。

  • Machine-learning-based EDFA gain estimation [Invited]
  • 建模 EDFA 增益：方法和挑战,Photonics
  • Modeling EDFA Gain: Approaches and Challenges,Photonics

Optical networks satisfy high bandwidth and low latency requirements for telecommunication networks and data center interconnection. To improve network resource 引用次数 270 次 Optical Communications Average gain for optimized EDFA with fixed and adjustable pump power ratio [ (a), C-band 980+1480 FB pumping scheme, (b) L-band 1480 + 1480 FB pumping scheme].

[6] Mahad, F. D., Supa’at A. S. and Sahmah B. M., “EDFA gain optimization for WDM system”, In 2017 International Conference on Communication and Signal Processing

Building a digital twin of EDFA: a grey-box modeling approach

Five machine learning (ML) models are investigated for erbium-doped fiber amplifier (EDFA) gain modeling based on the experimental dataset. Result shows the modeling performance varies We propose a physics-informed EDFA gain model based on the active learning method. Experimental results show that the proposed 深度融合系统监测、物理层建模和容量挖掘算法的智能光网络研究，Modeling EDFA gain: approaches and challenges，Liu Yichen,Liu Xiaomin,Liu Lei,Zhang Yihao,Cai Meng,Yi Lilin,Hu

The resulting model is practical and accurately represents the overmodulation dynamics in an widely studied but EDFA under varying conditions of gain saturation. Our results do not at this time take into

Request PDF | On Mar 26, 2024, Xiaomin Liu and others published Digital twin modeling and controlling of optical power evolution enabling autonomous-driving optical networks: a In this paper, theoretical performance analysis of EDFA gain control algorithm is carried out based on a mathematical EDFA model. As a nominal controller, a proportional-,integral controller is

Open EDFA gain spectrum dataset and its applications in data-driven ...

Contributed journal papers [1] Yicheng Liu, Xiaomin Liu, Yihao Zhang, Meng Cai, Mengfan Fu, Xueying Zhong, Lilin Yi, Weisheng Hu, and Qunbi Zhuge*, “Building a digital twin of an EDFA

This paper presents the optimization of a Double-Pass (DP) Erbium-Doped Fiber Amplifier (EDFA) to enhance the performance of wideband communication systems, L + U

Performance investigation of DP-EDFA amplifier for L

In particular, a DNN-based EDFA gain model was proposed in [4], where individual sub-models are used to predict the EDFA output power for random channel configurations ‪Shanghai Jiao Tong University‬ – ‪‪Cited by 736‬‬ – ‪Optical Networks‬ – ‪AI for Networks‬ – ‪Networks for AI‬ – ‪Optical Communication‬

The underlying principles and structures of EDFA are summarized, and the gain performance and challenges in modeling are introduced, followed by a review of the EDFA gain modeling methods. Request PDF | Building a digital twin of EDFA: a grey-box modeling approach | To enable intelligent and self-driving optical networks, high-accuracy physical layer models are In this paper, we firstly summarize the underlying principles and structures of EDFA, and introduce the gain performance and challenges in modeling. Then, we review the EDFA

We describe an accurate neural network-type EDFA gain model generated using supervised learning. We demonstrate one application of this model: limiting channel power excursions

The wavelength-dependent gain effects of erbium-doped fiber amplifiers (EDFAs) have a great impact on transmission performance, and therefore a precise EDFA gain model is required. In Modeling EDFA Gain: Approaches and Challenges Yichen LiuXiaoming Liu +5 authors Q. Zhuge Engineering, Physics Photonics 2021 TLDR The underlying principles and structures of EDFA Abstract The gain spectrum of an Erbium-Doped Fiber Amplifier (EDFA) has a complex dependence on channel loading, pump power, and operating mode, making accurate

High-accuracy physical layer models enable intelligent, self-driving optical networks. The dynamic wavelength-dependent gain characteristics of erbium-doped fiber Abstract Wavelength dependent EDFA gain ripple has an impact on connection’s OSNR performance. We propose a machine learning regression model to estimate the end to end