在高容量DWDM系统中使用在线知识蒸在S+C+L频段进行高效的非线性均等
Optics express
|June 14, 2025
概括
我们为高速光通信系统开发了一种高效的在线知识蒸方法. 这种技术显著提高了数据速率,并减少了密集波长分割复杂化 (DWDM) 系统中的计算复杂性.
科学领域:
- 光学通信是指光学通信.
- 信号处理 信号处理
- 机器学习 机器学习
背景情况:
- 高符号速率密集波长分割多重复合 (DWDM) 系统面临非线性均等化挑战.
- 现有的方法难以应对三频段 (S+C+L) 均等化的复杂性.
研究的目的:
- 提出一种在线知识蒸方法,使用教师-学生模型进行非线性均等.
- 在高符号率的DWDM系统中实现高效的三频段均等.
主要方法:
- 实施了一种教师-学生模型来提炼知识.
- 在代表性的C频段频道上训练有素的教师模型并将它们蒸成轻量级的学生模型.
- 将该方法应用于一个拥有195个WDM通道的系统,98 GBaud PDM-PCS 256-QAM信号超过150公里SSMF.
主要成果:
- 改进的净数据速率从201.5 Tb/s提高到231.6 Tb/s.
- 在C频段降低了多达97.1%的计算复杂性,在S和L频段降低了80%.
- 学生模型的表现与教师模型相提并论.
结论:
- 在线知识蒸对于高符号率DWDM系统的非线性等分是有效的.
- 拟议的方法在数据速率和计算效率方面提供了显著的改进.
- 这种方法可以实现高效的三带平衡.
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