基于深度神经网络的供电功率受限电缆容量最大化
信号处理
2019-10-07 v1 机器学习
机器学习
摘要
我们在大规模并行光纤场景下，通过消除增益平坦滤波器并利用深度神经网络机器学习优化发射功率，在 12 跨段链路中实验实现了每瓦特供电功率下 19% 的容量增益。
引用
@article{arxiv.1910.02050,
title = {Supply-Power-Constrained Cable Capacity Maximization Using Deep Neural Networks},
author = {Junho Cho and Sethumadhavan Chandrasekhar and Erixhen Sula and Samuel Olsson and Ellsworth Burrows and Greg Raybon and Roland Ryf and Nicolas Fontaine and Jean-Christophe Antona and Steve Grubb and Peter Winzer and Andrew Chraplyvy},
journal= {arXiv preprint arXiv:1910.02050},
year = {2019}
}