https://github.com/comnetshh/itc32-publication-code-release

https://www.tuhh.de/et6/homepage.html
https://github.com/comnetshh/itc32-publication-code-release

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https://www.tuhh.de/et6/homepage.html

• Host: GitHub
• URL: https://github.com/comnetshh/itc32-publication-code-release
• Owner: ComNetsHH
• License: gpl-3.0
• Created: 2020-08-04T09:50:11.000Z (almost 6 years ago)
• Default Branch: master
• Last Pushed: 2020-08-04T11:11:06.000Z (almost 6 years ago)
• Last Synced: 2026-04-11T03:55:36.254Z (2 months ago)
• Language: Python
• Homepage:
• Size: 1 MB
• Stars: 0
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Coexistence of Shared-Spectrum Radio Systems through Medium Access Pattern Learning using Artificial Neural Networks

Open source code release for the publication 'Coexistence of Shared-Spectrum Radio Systems through Medium Access Pattern Learning using Artificial Neural Networks' at ITC32, September 2020 in Osaka, Japan.

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3971740.svg)](https://doi.org/10.5281/zenodo.3971740)

## Instructions

Run each file under `evaluation/` to generate images in `_imgs/`.  

Classes may have unit tests associated to them as `test_.py` files. 

These are run using `python -m unittest `.