Data Analytics Network Element for Reliable mIoT Behavior Updates
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Solution Overview
Problem
In 5G communications, the process of providing terminal behavioral information by a third-party application function network element to the 5G network element is not mandatory, leading to unreliable and incomplete subscription information updates in user data management, especially for massive Internet of Things (mIoT) terminals.
Innovation Solution
A data analytics network element obtains and determines network-expected terminal behavioral information from multiple core network elements, providing more reliable and comprehensive data to the user data management network element, which can then update subscription information accurately.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If third-party application function network element provides terminal behavioral information to 5G network element, then subscription information can be updated, but the reliability and completeness of the information is insufficient
Solution Approach 1:
The data analytics network element serves as an intermediary between core network elements and the user data management network element. It collects terminal behavioral information from multiple core network elements, processes and analyzes this data, then provides reliable network-expected terminal behavioral information to the user data management network element, thereby improving information reliability without increasing system complexity
Solution Approach 2:
The data analytics network element performs multiple functions: collecting information from various core network elements, analyzing terminal behavior patterns, determining network-expected behavioral information, and providing this processed information to the user data management network element. This multi-functional approach consolidates operations and maintains system simplicity while enhancing information quality
2Quantity of substance
If AF network element provides third-party terminal behavioral information, then some terminal information can be obtained, but the information is not comprehensive enough for mIoT terminals
Solution Approach 1:
The system segments the information collection process by obtaining terminal behavioral information from multiple separate core network elements (AMF, SMF, UPF) rather than relying on a single AF network element. Each core network element provides specific behavioral data, and the data analytics network element integrates these segmented information sources to achieve comprehensive coverage of mIoT terminal behavior
Solution Approach 2:
The data analytics network element merges and integrates terminal behavioral information from multiple core network elements into a unified set of network-expected terminal behavioral information. This combining process ensures completeness by aggregating data from different network segments while maintaining reliability through cross-validation and analysis
3Loss of information
If mandatory process is implemented for AF network element to provide terminal behavioral information, then information completeness improves, but system flexibility and optional architecture are reduced
Solution Approach 1:
The data analytics network element performs preliminary collection and analysis of terminal behavioral information from core network elements before providing the processed information to the user data management network element. This preliminary action ensures that comprehensive and reliable information is ready in advance, eliminating the need for mandatory AF network element participation while maintaining information completeness
Solution Approach 2:
The data analytics network element autonomously collects, analyzes, and processes terminal behavioral information from core network elements without requiring mandatory intervention from AF network elements. This self-service capability allows the system to maintain flexibility and optional architecture while achieving complete and reliable subscription information updates through its own proactive information gathering
Data Source
AI summary
An information processing method includes: obtaining, by a data analytics network element, terminal behavioral information of a plurality of terminals; determining, by the data analytics network element, network-side expected terminal behavioral information based on the terminal behavioral information; and sending, by the data analytics network element, the network-side expected terminal behavioral information to a user data management network element.