低复杂度指数式修剪学习了纤维非线性缓解的数字反向传播方法
Optics letters
|March 14, 2025
概括
一种新的指数式修剪方法显著降低了光通信学到的数字反向传播中的计算复杂性. 这种技术保持了性能,同时实现了更高的数据速率和更长的传输距离.
科学领域:
- 光学通信是指光学通信.
- 数字信号处理 数字信号处理
- 非线性光学是非线性光学.
背景情况:
- 学习数字反向传播 (LDBP) 打击了限制光通信容量的非线性光纤扭曲.
- 由于分散补偿,LDBP的计算复杂性随着波率的提高和传输距离的延长而增加.
研究的目的:
- 提出一种新的方法,指数式修剪LDBP (EP-LDBP),以减少LDBP的计算复杂性.
- 评估EP-LDBP在减轻非线性扭曲而不会损失性能方面的有效性.
主要方法:
- 通过使用可调节参数修剪冗余LDBP水龙头来开发EP-LDBP.
- 在频域LDBP系统中实现并测试了EP-LDBP.
- 在一个21通道的WDM系统上进行了实验,在1600公里的光纤上使用60Gbaud 16QAM信号进行了实验.
主要成果:
- 与标准LDBP相比,EP-LDBP实现了61.5%的计算复杂性降低.
- 没有观察到赔偿绩效的牺牲.
- 分析证实了EP-LDBP在不同波速 (30-60Gbaud) 和距离 (400-1600公里) 上的有效性.
结论:
- 对于光通信系统,EP-LDBP可显著降低计算复杂度.
- 该方法适用于未来的高容量,远程光学网络.
- EP-LDBP有效地解决了LDBP在先进通信系统中的可扩展性挑战.
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