Machine Learning for Mobile Communications (Paperback, 1)

1. Introduction to 5G New Radio. 2. NR Physical Layer. 3. NR Layer 2 and Layer 3. 4. 4G and 5G NR Core Network Architecture. 5. 5G?Further Evolution. 6. Security and Privacy. 7. Traffic Prediction and Congestion Control Using Regression Models in Machine Learning for Cellular Technology. 8. Resource Allocation Optimization. 9. Reciprocated Bayesian-Rnn Classifier-Based Mode Switching and Mobility Management in Mobile Networks. 10. Mobility Management through Machine Learning. 11. Applying Heuristic Methods to the Offloading Problem in Edge Computing. 12. AR/VR Data Prediction and a Slicing Model  for 5G Edge Computing.