icon_20251203103057168.png

Change account information such as the email address and password on the account setting screen common to Confit.

Login required to view

Password required to view

Presentation Information

Session Details

Manuscript password authentication.<br>Password is required to view the manuscript. Please enter a password to authenticate.

To browse or post comments, you must log in.

You cannot post comments as it is outside the comment posting period.

This comment has been deleted. You cannot reply to this comment.

Program Type

Part 2

Machine Learning (ML) technologies are emerging and ubiquitously spread all over the industries including optical networks. Their applications in both optical transmission and optical networking have been widely investigated in recent years to increase fiber link capacity, reduce operational cost, optimize resource usage, and support new services. This workshop aims at discussing and clarifying the potential needs and advantages as well as limitations and risks (e.g. reliability issue caused by insufficient and/or inappropriate training) of ML-driven solutions for a number of use cases in optical transmissions and networks. This will be expected to facilitate innovation in aspects such as channel impairment compensation, end-to-end link optimization, physical layer monitoring and the autonomous control and management of future optical infrastructure.

OECC/PSC

OECC/PSC 2019

OECC/PSC 2019

[WS1-8]Part 2