5G Network Data Analytics

This course seeks to explore the Network Data Analytics features that have been introduced into 5G as part of the 3GPP Release 17 specifications. As such, key drivers, challenges and requirements will be explored before focusing on the architectural elements. The data gathering process is then covered, after which analytics gathering procedures will be examined. In conclusion, twelve specific use cases for network data analytics will be detailed. 

Intermediate |
4 CPD CREDITS
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5G Network Data Analytics

This course will contain the following topics:

  • Network Data Analytics Overview:
    • Driving Factors for Network Analytics.
    • Challenges for Network Analytics.
    • Analytics Monitoring Requirements.
    • Granularities and Types of Analytics.
  • Network Data Analytics Architecture:
    • High Level Network Architecture.
    • Network Data Analytics Function.
    • Data Collection Coordination Function.
    • Analytics Data Repository Function.
    • Messaging Framework Adapter Function.
    • Management Data Analytics.
    • Machine Learning and the NWDAF.
    • Deployment Considerations.
  • Data Gathering Procedures:
    • Consent Checking and Subscription.
    • Registering Active Analytics.
    • Acquiring Data.
  • Analytics Procedures:
    • Analytics Subscribe/Unsubscribe.
    • Analytics Request.
    • Indirect Analytics Collection.
    • Aggregation of Analytics Data.
    • Utilizing the ADRF.
    • Policy Control and Network Data Analytics.
  • Use Cases for 5G Network Data Analytics:
    • General Considerations.
    • Slice load level.
    • Observed Service Experience.
    • NF Load.
    • Network Performance.
    • UE Related.
    • User Data Congestion.
    • QoS Sustainability.
    • Dispersion.
    • WLAN Performance.
    • Session Management Congestion Control Experience.
    • Redundant Transmission Experience.
    • DN Performance.