Komondor is an IEEE 802.11ax-oriented network simulator written in C/C++. It allows simulating high-density WLAN deployments in a cost-effective manner so that large data sets can be created with low complexity. Komondor, besides including 802.11ax features like Dynamic Channel Bonding (DCB) or Spatial Reuse (SR), provides in-simulation Machine Learning (ML) functionalities, mostly oriented to online learning and Reinforcement Learning (RL).

All the source code is open and can be accessed at https://github.com/wn-upf/Komondor/, along with documentation (building fundamentals, how-to guides, examples, etc.).