AI for Wireless

Machine Learning and AI for Wireless Networks

This page provides key resources on the research results developed by our group with respect to machine learning and artificial intelligence (AI). The papers cover both tutorial papers and advanced applications of ML/AI in wireless networks. Example of the tools used include deep learning/deep reinforcement learning, federated learning, echo state networks, liquid state machines, long short-term memory (LSTM) cells, and multi-armed bandits, among others

Tutorials on ML/AI for Wireless

Federated Learning and Wireless Networks

AI for Wireless Resource Management and Optimization

AI for UAV Communications

AI for Virtual Reality over Wireless Networks

AI for Ultra Reliable Low Latency Communication (URLLC)

AI for Internet of Things

AI for Autonomous Systems

AI for Security