Abstract

We propose a neural network-based automatic management system for N×N optical switch in the context of a software-defined network. The proposed automatic softwarized system operates in a completely agnostic manner in real-time.

© 2021 The Author(s)

PDF Article  |   Presentation Video
More Like This
Machine Learning Assisted Management of Photonic Switching Systems

Ihtesham Khan, M Umar Masood, Lorenzo Tunesi, Paolo Bardella, Enrico Ghillino, Andrea Carena, and Vittorio Curri
JTu3A.32 CLEO: Applications and Technology (CLEO_AT) 2021

Machine Learning Assisted Model of QoT Penalties for Photonics Switching Systems

Ihtesham Khan, Lorenzo Tunesi, Muhammad Umar Masood, Enrico Ghillino, Paolo Bardella, Andrea Carena, and Vittorio Curri
M2A.3 Photonics in Switching and Computing (PSC) 2021

Autonomous Control Model for C+L Multi-band Photonic Switch System using Machine Learning

Ihtesham Khan, Lorenzo Tunesi, M Umar Masood, Enrico Ghillino, Paolo Bardella, Andrea Carena, and Vittorio Curri
T4A.163 Asia Communications and Photonics Conference (ACPC) 2021

References

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 Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Presentation Video

Presentation video access is available to:

  1. Optica Publishing Group subscribers
  2. Technical meeting attendees
  3. Optica members who wish to use one of their free downloads. Please download the article first. After downloading, please refresh this page.

Contact your librarian or system administrator
or
Log in to access Optica Member Subscription or free downloads


More Like This
Machine Learning Assisted Management of Photonic Switching Systems

Ihtesham Khan, M Umar Masood, Lorenzo Tunesi, Paolo Bardella, Enrico Ghillino, Andrea Carena, and Vittorio Curri
JTu3A.32 CLEO: Applications and Technology (CLEO_AT) 2021

Machine Learning Assisted Model of QoT Penalties for Photonics Switching Systems

Ihtesham Khan, Lorenzo Tunesi, Muhammad Umar Masood, Enrico Ghillino, Paolo Bardella, Andrea Carena, and Vittorio Curri
M2A.3 Photonics in Switching and Computing (PSC) 2021

Autonomous Control Model for C+L Multi-band Photonic Switch System using Machine Learning

Ihtesham Khan, Lorenzo Tunesi, M Umar Masood, Enrico Ghillino, Paolo Bardella, Andrea Carena, and Vittorio Curri
T4A.163 Asia Communications and Photonics Conference (ACPC) 2021