Distributed machine learning (e.g., Federated Learning) for communication system design

Deep learning  (e.g., Deep Neural Network, Graph Neural Network) and reinforcement Learning to optimize cell association, power allocation, resource allocation, etc.

Multiple antenna techniques for hybrid beamforming, reconfigurable intelligent surface (RIS), massive MIMO, etc.

Future waveform and multiple access techniques (e.g., Orthogonal frequency division multiplexing (OFDM), Non-orthogonal multiple access (NOMA))

Signal processing for wireless communications to develop transmission/reception algorithms