GNPy: Optical Route Planning Library

GNPy is an open-source, community-developed library for building route planning and optimization tools in real-world mesh optical networks. It is based on the Gaussian Noise Model.

• Introduction
  • Further Instructions for Use
• Simulating networks with GNPy
  • Network Topology
    • Fully Specified vs. Partially Designed Networks
  • The Equipment Library
    • Amplifier Noise Figure Models
      • Min-max NF
      • Raman Approximation
  • Simulation
• Installing GNPy
  • Using prebuilt Docker images
  • Using Python on your computer
    • Installing the Python package
• JSON Input Files
  • Equipment Library
    • EDFA
    • Fiber
    • RamanFiber
    • Transceiver
    • ROADM
  • Global parameters
    • Span
    • SpectralInformation
    • Arbitrary channel definition
    • Equalization choices
• Excel (XLS, XLSX) input files
  • Nodes sheet
  • Links sheet
  • Eqpt sheet
  • Service sheet
• Extending GNPy with vendor-specific data
  • EDFAs
    • Polynomial NF
    • Polynomial OSNR (OpenROADM-style for inline amplifier)
    • Noise mask (OpenROADM-style for combined preamp and booster)
    • Min-max NF
    • Dual-stage
    • Advanced Specification
  • Raman Amplifiers
  • Transponders
  • ROADMs
• About the project
  • Contributing
  • Project Background
  • TIP OOPT/PSE & PSE WG Charter
  • License
• Physical Model used in GNPy
  • QoT-E including ASE noise and NLI accumulation
  • The Gaussian Noise Model to evaluate the NLI
• API Reference Documentation
  • gnpy package
    • gnpy.core
      • gnpy.core.ansi_escapes
      • gnpy.core.exceptions
    • gnpy.topology
    • gnpy.tools

Indices and tables

• Index

• Module Index

• Search Page