Skip to content

Latest commit

 

History

History
36 lines (15 loc) · 856 Bytes

README.md

File metadata and controls

36 lines (15 loc) · 856 Bytes
Raw

Configuration of TSN networks for the transport of 5G slices: Optimization of the scheduler through Machine Learning (code only)

Code designed for MSc. Telecommunications Engineering Final Project

Full document can be found clicking on here

What is this repository about? 🚀

This code will allow you to set up an optimization model of a synchronous TSN integration with 5G network slices in transport networks where fluctuations caused by NFVs are of particular relevance.

Prerequisites 📋

  • Python environment

  • PyGAD library

  • NetworkX library

  • NumPy library

  • SciPy library

  • MatPLotLib library

  • Powerful computational infrastructure (e.g. HPC)

Authors ✒️

  • Pablo Rodríguez Martín - Main work - Paroma96