Learning the fluctuations of Q-factor from Microsoft's optical backbone
-
Updated
Jan 9, 2020 - Python
Learning the fluctuations of Q-factor from Microsoft's optical backbone
Project for a subject on optical networks (SOIB), WEiTI WUT
[OFC 2019] Routing without Routing Algorithms: an AI-Based Routing Paradigm for Multi-Domain Optical Networks
Repository containing the implementation of the work published in JOCN. The work studies the impact of using dimensionality reduction methods to the identification of attacks and anomalies in optical networks.
Models the resource allocation with spectrum defragmentation in eleastic optical networks using continuous time Markov chain models.
A JAVA-based simulator for evaluating defragmentation in elastic optical network with holding time awareness of traffic flows
This repository contains codes in python performed during Optical Communication Lab
[OFC 2021] BOW: First Real-World Demonstration of a Bayesian Optimization System for Wavelength Reconfiguration
[SIGCOMM 2021] ARROW: Restoration-Aware Traffic Engineering
Optical Neural Networks on PyTorch. diffractive propagation, nonlinear-photonic-activation
RWA WDM Simulator: A Python simulator for the routing and wavelength assignment problem in WDM transparent networks with static traffic
IP/MPLS over Optical Networks book
Set of reinforcement learning environments for optical networks
Add a description, image, and links to the optical-networks topic page so that developers can more easily learn about it.
To associate your repository with the optical-networks topic, visit your repo's landing page and select "manage topics."