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Wi-Fi and NR-U network simulator developed for the BSc and MSc thesis

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5G-Coex-SimPy

Introduction

This is 5G-Coex-SimPy discrete-event simulator based on the SimPy Python library that allows to study and research coexistence between WiFi and NR-U (New Radio Unlicensed) technologies.

Engineer's (BSc) Thesis

Validation and Extension of a WiFi and NR-U Coexistence Channel Access Simulator based on the Python SimPy Library

My Bachelor thesis was focused on the research and validation of existing functionalities as well as extending it with the following features:

  • EDCA
  • Non-saturated traffic generation
  • Airtime fairness
  • Random packet size generation
  • RTS/CTS
  • 802.11ac

Master's (MSc) Thesis

Simulation Analysis of QoS in Wi-Fi and NR-U Network Coexistence Scenarios

My Master thesis is focused on the Quality of Service aspects of the above mentioned technologies coexisting in the same band. So far, I have managed to enrich the simulator with the following functionalities:

  • NR-U Access Categories
  • Arbitrary buffer size management
  • QoS metrics (throughput, latency, packet loss ratio, jitter)
  • Packet dropping based on the latency thresholds
  • Channel reservation overview
  • Limiting channel occupancy techniques
  • Delaying channel access methods

How to run?

In order to properly run 5G-Coex-SimPy, an IDE (like PyCharm) is needed to smoothly install all the dependencies and libraries. However, you can also install the dependencies via the command line with pip. The 5G-Coex-SimPy consists of the following scripts:

  • client_coex.py - configuring and running simmulations
  • Coexistence.py and Times.py - simulation logic
  • resultAnalysis.py - results processing and visualization

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Wi-Fi and NR-U network simulator developed for the BSc and MSc thesis

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