A machine learning-based estimation method for fiber nonlinear noise-to-signal ratio is proposed, which does not require channel state information. The generalization problem of machine learning model from homogeneous to inhomogeneous cases is also investigated.
© 2019 The Author(s)
You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.
Contact your librarian or system administrator
Login to access OSA Member Subscription