My Master's Thesis
My thesis project of the KTH Master’s program in Machine Learning is about cellular traffic clustering and multi-agent reinforcement learning for energy-efficient base station control. The project is supervised by Dr. Özlem Tugfe Demir and examined by Prof. Cicek Cavdar. The thesis abstract can be found in English and in Swedish, and the full thesis report can be downloaded here.
The first part of the thesis project is site classification and modelling of different traffic scenarios like rural, urban, office, etc. The second part is cooperative base station control using a multi-agent deep RL algorithm (MAPPO) in multi-cell 5G networks to optimize energy efficiency while preserving quality of service .