Completion of GSoC 2024 Project: "Enhancement of RL Approach Accessibility in NR"

[Katerina Koutlia]

Hi all, 

I'd like to congratulate Hyerin Kim for successfully completing her GSoC project on extending the nr module (5G-LENA) with AI/ML capabilities, through the integration with the ns3-gym and the implementation of RL-based MAC schedulers. The Merge Request !166 includes Hyerin’s work and is currently in the final revision process. It is expected to be merged into the nr module’s master branch very soon.  

Hyerin’s work builds on her background in AI/ML during her Master studies and is mainly motivated by the identification of further optimization possibilities in the already implemented QoS schedulers to increase the total user throughput and to improve user fairness. It involves the design and implementation of the RL-based schedulers, including: the interaction with the RL model; the development of a unit test; and a user example to evaluate the performance of the proposed schedulers. Results obtained with her work demonstrate the correct functionality of the schedulers, and that they can outperform the existing QoS schedulers. 

 

We would appreciate it if you could take a look at the MR and provide any feedback or suggestions for further improvements! 

 

BR, 

Kat