Wireless Core Analytics Clustering for Scalable UE Report Distribution
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Solution Overview
Problem
The existing 5G network data analytics function (NWDAF) faces scalability issues when generating reports for large groups of user equipment (UEs), leading to excessive network traffic, memory, and processing demands on consumer network functions.
Innovation Solution
The NWDAF performs cluster analysis to identify ephemeral groups of UEs with similar analytics reports, generating consolidated reports for these groups instead of individual reports, reducing the number of reports sent to consumer network functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the NWDAF generates individual analytics reports for each UE in a large group, then complete analytics coverage is achieved, but network traffic and processing resources are overwhelmed
Solution Approach 1:
The patent merges analytics reports for multiple UEs into consolidated group reports. The NWDAF identifies UEs with similar analytics characteristics and combines their reports, sending a single consolidated report to the CNF that covers multiple UEs. This directly reduces network traffic volume while maintaining analytics coverage through the grouping mechanism.
Solution Approach 2:
The patent segments the large group of UEs into smaller subgroups based on analytics characteristics. By dividing the population into manageable segments with similar properties, the system can generate consolidated reports for each segment rather than handling all UEs individually, thus reducing overall network traffic while preserving analytics completeness.
2Reliability
If the NWDAF generates individual analytics reports for each UE in a large group, then complete analytics coverage is achieved, but memory and processing resources at the CNF are overwhelmed
Solution Approach 1:
The patent merges analytics reports for multiple UEs into consolidated group reports. The NWDAF identifies UEs with similar analytics characteristics and combines their reports, sending a single consolidated report to the CNF that covers multiple UEs. This directly reduces network traffic volume while maintaining analytics coverage through the grouping mechanism.
Solution Approach 2:
The patent segments the large group of UEs into smaller subgroups based on analytics characteristics. By dividing the population into manageable segments with similar properties, the system can generate consolidated reports for each segment rather than handling all UEs individually, thus reducing overall network traffic while preserving analytics completeness.
3Productivity
If consolidated analytics reports are generated for groups of UES, then network traffic and processing resources are reduced, but individual UE analytics precision may be compromised
Solution Approach 1:
The patent applies local quality by creating heterogeneous groupings where UEs are segmented into groups based on similar analytics characteristics. Each group receives consolidated reporting appropriate to its specific properties, while UEs with unique characteristics can be placed in smaller or singleton groups. This ensures that consolidation occurs only where appropriate, maintaining precision for unique cases while achieving efficiency for similar cases.
Data Source
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AI summary
Methods and apparatus are provided for creating and distributing analytics reports in a wireless core network. A CNF requests analytic reports for a plurality of UEs from a NWDAF. Responsive to the request, the NWDAF compiles the requested data and generates analytics reports for the UEs identified in the request. During compilation of the analytics data, the NWDAF performs cluster analysis to identify groups of UEs 100, referred to herein as ephemeral groups, that share the same analytics report and generates a consolidated analytics report for each ephemeral group to reduce the number of analytics reports sent to the CNF 200.