Deep Reinforcement Learning: Connecting the crowd using MIMO beamforming

Theme:

MIMO beamforming

Application:

Communication

Contact Person:

Nguyen Dao
Yang Miao

Intorduction:

The goal of this project is to design and evaluate DRL-based beamforming algorithms for MIMO wireless systems, capable of dynamically optimizing network performance under realistic and time-varying conditions. You will explore how learning-based intelligence can outperform or complement classical optimization approaches in next-generation wireless systems.

Requirements:

Are familiar with MATLAB and/or Python.
Have basic knowledge of wireless communications.
Have basic knowledge of optimization, machine learning, or reinforcement learning.

Additional Info