Introduction to AI&ML applied to Open RAN

In summary

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This Learning Program introduces the framework for using AI/ ML technologies to improve the performance and automation of radio resources in the access network through intelligent algorithms that improve the system continuously.

Upon completion of this learning program, you will be able to:

• Identify the ways how Data science and AI/ML can enhance Open RAN solutions.
• Describe how the AI-enabled policies and ML models are enforced in Open RAN.
• Recognize AI/ML use cases.
• Identify the ML algorithms and describe the use of AL/ML in RAN optimization scenarios.
• Describe the use of ML in SON implementations.

TIP Academy Learning Program licenses are valid for 12 months and can be used on a desktop or web browser. Internet connection is required.

Course modules - about 4 hours

Introduction to AI&ML applied to Open RAN - Pre-test

Introduction to Artificial Intelligence and Machine Learning

Mapping AI & ML functionalities into the Open RAN architecture

Understanding Open RAN interfaces for AI/ML

Introduction to AI&ML applied to Open RAN - Discussion Forum 1

Introduction to AI&ML applied to Open RAN - Discussion Forum 2

O-RAN defined interfaces for AI/ML

AI/ML use cases for Open RAN

Introduction to AI&ML applied to Open RAN - Final Survey

Introduction to AI&ML applied to Open RAN - Final Assessment