User Plane Data Processing Network Element Analytics
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Solution Overview
Problem
Current 5G communications networks lack methods for data analytics using network data analytics (NWDA) network elements, which are essential for efficient data processing and service management.
Innovation Solution
A data analytics method and apparatus that utilize a user plane data processing network element to obtain matching conditions from a data analytics network element, allowing for the identification of service types or execution rules associated with user plane data, enabling data analytics within the communications network by processing user plane data based on these conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If deep packet inspection is used to analyze user plane data, then data analytics accuracy is improved, but processing complexity and time consumption increase
Solution Approach 1:
The patent applies preliminary action by pre-establishing matching conditions and service type associations in the data analytics network element before actual data processing. The network element proactively configures the mapping relationships between data characteristics and service types, so that when user plane data arrives at the user plane data processing network element, the service type is already determined through simple condition matching rather than complex deep packet inspection. This resolves the contradiction by performing the complex analysis work in advance during configuration, not during real-time processing.
2Productivity
If matching conditions are obtained from data analytics network element, then data processing efficiency is improved, but network element coordination complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the network functionality into distinct segments: the data analytics network element handles analytics and condition generation, while the user plane data processing network element handles data processing based on matched conditions. This functional segmentation allows each element to specialize in specific tasks, improving overall efficiency while managing complexity through clear responsibility boundaries. The matching conditions act as standardized interfaces between segments, simplifying coordination.
Solution Approach 2:
The patent uses matching conditions as an intermediary mechanism between the data analytics network element and the user plane data processing network element. Instead of direct complex coordination, the analytics element publishes pre-processed matching conditions that the data processing element can independently evaluate and act upon. This intermediary approach decouples the two network elements, allowing them to operate independently while maintaining efficient coordination through the standardized condition-matching interface.
3Measurement precision
If service type association is performed for each user plane data, then data management precision is improved, but processing time increases
Solution Approach 1:
The patent applies preliminary action by pre-computing and storing the associations between matching conditions and service types in the data analytics network element before actual data processing occurs. When user plane data arrives, the system only needs to perform simple condition matching against pre-established relationships rather than performing complex real-time analysis. This dramatically reduces processing time while maintaining precise data management, as the heavy lifting is done in advance during configuration rather than during data processing.
Data Source
AI summary
Embodiments of this application provide a data analytics method and data analytics apparatus. The method includes obtaining, by a user plane data processing network element, at least one matching condition that is from a data analytics network element, where each of the at least one matching condition corresponds to at least one service type or at least one execution rule. The method further includes obtaining, by the user plane data processing network element based on the at least one matching condition, a service type associated with user plane data or an execution rule associated with the user plane data. Embodiments of this application implement data analytics by using the data analytics network element in a communications network.