https://github.com/comnetshh/netsys2021-malene-code-release

Open source code release to replicate results of the conference paper.
https://github.com/comnetshh/netsys2021-malene-code-release

Last synced: 2 months ago
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Open source code release to replicate results of the conference paper.

• Host: GitHub
• URL: https://github.com/comnetshh/netsys2021-malene-code-release
• Owner: ComNetsHH
• License: gpl-3.0
• Created: 2021-08-12T09:38:04.000Z (almost 5 years ago)
• Default Branch: main
• Last Pushed: 2021-08-13T07:36:50.000Z (almost 5 years ago)
• Last Synced: 2026-04-11T03:55:37.692Z (2 months ago)
• Language: Python
• Homepage: https://www.tuhh.de/comnets
• Size: 47.9 KB
• Stars: 1
• Watchers: 4
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# Time- and Frequency-Domain Dynamic Spectrum Access: Learning Cyclic Medium Access Patterns in Partially Observable Environments

Open source code release for the publication at NetSys 2021, September 2021 in Lübeck, Germany.

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.5195407.svg)](https://doi.org/10.5281/zenodo.5195407)

## Instructions

Each Python `.py` file performs a simulation and saves results into a corresponding `_data/.json` file. 

These are then parsed by the same Python script to create a graph in `_imgs/.pdf`.  

You can check each file for its command line parameters regarding the simulation, and you can also disable simulation or plotting.

The `Makefile` contains targets to re-create the graphs presented and discussed in the publication.

Please note that for the paper, a relatively large number of repetitions are performed to obtain statistically meaningful results.

However, this requires substantial simulation time. 

For a quicker first check, consider simulation just once or for a shorter time.

You can run `make all` to replicate all graphs from the paper in one command.