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