Reinforcement Learning for Next-Generation Communication Systems

This project will develop new reinforcement learning theories for next-generation communication networks, 6G and beyond. We will focus on the design, analysis, and control of spectrum sharing and online learning in communication networks with model-free and model-based reinforcement learning algorithms. We will combine communication theories, stochastic networks, control and statistics, and game theories for large-scale communication systems.

People

Project ID: 1006