O-RAN Technical Training

This one-day course introduces the O-RAN architecture, interfaces, and open fronthaul; reviews the operations, administration, and maintenance required; and discusses the non- and near-time RAN intelligent controllers, white-box hardware, and security.

two 5G engineers pointing at cell tower at sunset

Why Take This Course?

  • Enhance your industry knowledge and skills by gaining a greater understanding of O-RAN.
  • Train with engineers at Qualcomm Technologies – a world leader in 5G technology and wireless engineering.
  • Learn online and at your own pace with our flexible eLearning format. Or, set up a live training session for groups of at least 15 people.

 

Course Outline:

  • RAN evolution, O-RAN vision and benefits.
  • O-RAN architecture, nodes, and defined interfaces.
  • O1, O2, R1, A1, and E2 interfaces.
  • O-RAN Open Fronthaul: control, user, synchronization, and management planes.
  • O-RAN OAM overview and architecture.
  • Non-real time RIC architecture and applications.
  • AI/ML workflow and scenarios.
  • Near-RT RIC architecture and main components.
  • White-box hardware in O-RAN including base station architecture and performance KPIs.
  • O-RAN security architecture, frameworks, and protocols.
  • O-RAN Alliance prioritized use cases.
  • RAN deployment options with O-RAN.

 

What You Will Learn:

  • RAN evolution and the motivation for ORAN.
  • The concept and benefits of O-RAN.
  • The difference between O-RAN, C-RAN, and vRAN.
  • The overall O-RAN architecture.
  • The functionality of key O-RAN nodes.
  • O-RAN-defined interfaces.
  • 3GPP-defined interfaces.
  • O-RAN Open Fronthaul planes.
  • O-RAN C-Plane, U-Plane, and M-Plane.
  • O-RAN Synchronization approach.
  • OAM architecture.
  • Functionality of O1 and O2 interfaces.
  • Major OAM use cases.
  • Non-real time RAN Intelligent Controller (non-RT RIC) architecture.
  • The role of non-RT RIC Applications (rApps).
  • The role and functions of non-RT RIC.
  • Fundamental of machine learning.
  • AI/ML workflow.
  • A1 and R1 interfaces.
  • The role of near-real time RAN Intelligent Controller (Near-RT RIC).
  • Near-RT RIC architecture and interfaces.
  • E2SM and their functions.
  • O-RAN base station architecture.
  • Functionality of Fronthaul gateway.
  • O-RAN base station classification and deployment scenarios.
  • White-box hardware reference design.
  • O-RAN KPIs.
  • Security developments from the WG11.
  • O-RAN threats and vulnerabilities.
  • O-RAN security architectures, frameworks, and protocols.
  • O-RAN prioritized use cases.
  • How the O-RAN architecture facilitates optimization/improvement of its use cases.
  • AI/ML in O-RAN implementation.
  • Virtualization and its benefits.
  • RAN deployment options with O-RAN.
  • Fronthaul considerations.

 

Prerequisites:

  • You should take this course if you are at least one of the following:
    • Network Engineer
    • Systems Engineer
    • Manager
  • This course is part of our corporate program and requires an NDA for access.

Course Information

Duration: 6-8 Hours
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