Routing and spectrum assignment integrating machine-learning-based QoT estimation in elastic optical networks

Abstract

We integrate machine-learning-based quality-of-transmission estimation into the routing and spectrum assignment problem for elastic optical networks, formulating a mixed-integer programming model that explicitly accounts for prediction uncertainty.

Machine LearningOptical NetworksNetwork Optimization

BibTeX

@inproceedings{salani2019routing,
  title        = {Routing and spectrum assignment integrating machine-learning-based QoT estimation in elastic optical networks},
  author       = {Salani, Matteo and Rottondi, Cristina and Tornatore, Massimo},
  booktitle    = {IEEE INFOCOM 2019-IEEE conference on computer communications},
  pages        = {1738--1746},
  year         = {2019},
  organization = {IEEE}
}