基于GN模型的大容量超长距离传输系统建模仿真数据

该数据为GN模型的大容量超长距离传输系统的仿真数据，由Matlab获得。该成果利用自建的高斯噪声模型（GN模型），研究了大容量耦合多芯光纤在超长距离传输场景下的非线性噪声功率和信噪比，证明了该种光纤在项目所研究的万公里级海缆传输系统中应用的巨大潜力。该成果经同行评议后发表于Optics Communications。支撑论文“Nonlinear Impairment Scaling in Coupled-core Multi-core Fibers for Space-division Multiplexing” 以及软著“基于高斯噪声模型的传输系统性能评估软件”。模型在优化后，可面向“千公里”和“万公里”级传输需求。

This dataset is the simulation data of a high-capacity long-haul transmission system based on the self-developed Gaussian Noise (GN) model, generated via Matlab. This research investigates the nonlinear noise power and signal-to-noise ratio (SNR) of high-capacity coupled multi-core fibers under long-haul transmission scenarios using the GN model, demonstrating the significant application potential of this fiber type in the 10,000-kilometer-scale submarine cable transmission system studied in this project. This work has undergone peer review and been published in *Optics Communications*. It supports the academic paper titled *Nonlinear Impairment Scaling in Coupled-core Multi-core Fibers for Space-division Multiplexing* and the software copyright entitled "Transmission System Performance Evaluation Software Based on Gaussian Noise Model". After optimization, the model can cater to the transmission requirements of "thousand-kilometer" and "10,000-kilometer" scales.

搜集汇总

背景与挑战

背景概述

该数据集为基于GN模型的大容量超长距离传输系统的仿真数据，由Matlab生成，研究了大容量耦合多芯光纤在超长距离传输场景下的非线性噪声功率和信噪比，证明了其在万公里级海缆传输系统中的巨大应用潜力。数据格式包括mat、pdf、m和docx，总数据量为1.61MB，包含32个文件。