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
00:51:06
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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
8 Lectures
5.1. What is Machine Learning
00:03:07
5.2. Machine Learning Types
00:03:30
5.3. ML functionality – control loops in Open RAN
00:03:34
5.4. ML deployment in Open RAN
00:02:16
5.5. ML use cases in telecom industry
00:03:30
5.6.Machine learning workflow.mp4
00:07:35
5.7.Data collection and preparation.mp4
00:02:28
5.8. ML Project - Network Predictive Analytics
00:10:55
