To upgrade Komondor, just download the source code from https://github.com/wn-upf/Komondor
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We have changed the way input information is passed to the simulator:
- The input_system file has been deleted.
- Additional information has been added to input_nodes file.
- A new file (/Komondor/Code/config_models) has been added, which defines which general models are used to define the global environment (e.g., path-loss, adjacent channel interference, etc.). These models are typically not modified, but Komondor provides certain flexibility for testing different environmental cases.
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We have provided a first stable implementation of agents, which is based on the architectural elements defined in Wilhelmi, Francesc, et al. "A Flexible Machine Learning-Aware Architecture for Future WLANs." arXiv preprint arXiv:1910.03510 (2019).
- We implemented a first version of the RTOT algorithm for SR improvement in 11ax WLANs. Refer to Ropitault, Tanguy. "Evaluation of RTOT algorithm: A first implementation of OBSS_PD-based SR method for IEEE 802.11 ax." 2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC). IEEE, 2018.
- We extended the regression script with DCB use cases.
- We improved the way methods are separated.
- We solved a crash related to agents' output log files.
- We have fixed an error whereby transmit power was not being updated when bonding >1 channels for transmitting.
- Dataset for the AI Challenge (ITU-T) coming soon...
- A list of academic and educational projects involving Komondor has been added to the README.