Machine learning for 5G
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This document discusses how machine learning can be used in 5G technology. It first outlines the benefits of 5G networks and machine learning individually. It then explains two applications of machine learning for 5G - network slicing and routing optimization. For network slicing, it shows how neural networks and tree ensembles can be used for traffic prediction with over 98% accuracy. For routing optimization, it discusses using machine learning models to predict traffic loads and optimize network routing.
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Machine learning for 5G
- 1. Machine Learning for a 5G future Professor: Student: Van-Dinh Nguyen Phuc Trinh
- 2. Agenda 2 1. The awesomeness of 5G 2. The awesomeness of Machine Learning 3. How Machine Learning used in 5G technology
- 3. The awesomeness of 5G 3 Click here to play the video
- 4. The awesomeness of Machine Learning 4 RNN in the darkness
- 5. The awesomeness of Machine Learning 5
- 6. The awesomeness of Machine Learning 6 Features: 1. How many people have seen the selfie 2. The number of likes as a function of the audience size Under the hood ConvNet
- 7. The awesomeness of Machine Learning 7 What makes a good #selfie ? The good, the bad and the ugly
- 8. 8 Machine Learning for a 5G future
- 9. 9 Machine Learning for a 5G future Application: Network slicing
- 10. 10 Machine Learning for a 5G future ML techniques: Neural network Tree Ensemble
- 11. 11 Machine Learning for a 5G future ML algorithm Accuracy % Neural Network 98.34% Tree Ensemble 99.68% Performance Evaluation:
- 12. 12 Machine Learning for a 5G future Application: Routing optimization
- 13. 13 Machine Learning for a 5G future Reference mobile carrier network (MCN) architecture.
- 14. 14 Machine Learning for a 5G future Architecture of the artificial neural network.
- 15. 15 Machine Learning for a 5G future Comparison between the real traffic load and ML-based prediction Traffic Prediction Performance
- 16. Thank You