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.
[](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 `.