Machine Learning & Radio Intelligent Controllers
ML can help to optimize the features and parameters in the network to make it more efficient. It is a part of self-organizing network feature (SON).
2 Modules
01:03:12
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Certificate on completion
As RAN is disaggregating and moving away from proprietary system, there is an innovation happening by leveraging machine learning (ML) to enable more efficiency as compared to conventional RAN by introducing intelligent controllers known as Radio Intelligent controllers (RIC), which can work for real and non-real time services. ML can also help to optimize the features and parameters in the network to make it more efficient. It is a part of self-organizing network feature (SON).
2 Modules
10 Lectures
Introduction - Machine Learning and Intelligent Controllers
00:01:53
What is Machine learning (ML)
00:02:32
Types of Machine learning – Supervised learning
00:02:19
Unsupervised and Reinforcement learning
00:02:41
What is Machine learning model
00:02:59
ML Model - Simulation in Google Colab
00:02:53
ML-framework
00:02:59
ML data collection
00:02:51
ML Data Preparation
00:02:26
ML project
00:16:41
