M11 Machine Learning for Federated Heterogeneous Communication Networks via 5G and 6G  Network Technologies

PI: Sejun Song and Baek-Young Choi

The goal of the project is to develop a comprehensive framework for multi-parameter optimization of Heterogeneous Communication Networks for 5G and beyond.

Project Methodology

  • Study AI-based optimization of heterogeneous 5G network, and beyond.
  • Use real data to enable faster product implementation from a proof of concept of the model.
  • Develop detailed methodical approach for solving the issues faced while working with practical raw data.
  • Implement performance comparison with a view of both accuracy and computational efficiency with compared to other popular machine learning approaches.