EC337E: Machine Learning for Communication Networks

Class Lecture

Lecture 1: Introduction PPT

Lecture 2: Intelligent Radio PPT

Lecture 3-4: Deep Learning PPT

Lecture 5-9: Spectrum Sensing: Clustering & SVM PPT

Lecture 10-12: Design & Analysis of ML PPT

Lecture 13-15: BS Activation: Reinforcement learning PPT

Lecture 16-20: Modulation classification: Regression PPT

Lecture 21-23: Resource allocation: Deep Reinforcement Learning PPT

Lecture 24-25: User Association: DRL PPT

Lecture 26-27: Channel prediction: Classifier PPT

Lecture 28-31: Energy Consumption: DNN PPT

Lecture 32-35: Massive MIMO PPT

Lecture 36-38: Federated Learning PPT

Lecture 36-38: 5G PPT