5G Terminal Behavior Analytics for Reliable Subscription Updates
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Solution Overview
Problem
In 5G networks, the process of providing terminal behavioral information by third-party or service servers to network elements is not mandatory, leading to unreliable updates in subscription information for massive internet of things (mIoT) terminals, and existing solutions like NWDAF do not ensure high reliability and comprehensiveness of network side-expected terminal behavioral information.
Innovation Solution
A data analytics network element obtains and determines network side-expected terminal behavioral information from multiple core network elements, providing more reliable and comprehensive data to a user data management network element, which can then update subscription information accurately.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If third-party or service server provides terminal behavioral information to network element, then network side-expected terminal behavioral information can be obtained, but reliability of the provided information is low
Solution Approach 1:
The patent introduces a data analytics network element as an intermediary between core network elements and the user data management network element. This intermediary collects terminal behavioral information from multiple core network elements, analyzes it to determine network side-expected terminal behavioral information, and provides it to the user data management network element. This mediator approach ensures high reliability by processing information through multiple verified sources rather than relying on single third-party providers.
Solution Approach 2:
The patent merges terminal behavioral information from multiple core network elements (AMF, SMF, UPF, RAN) into a unified analysis at the data analytics network element. By combining information from these diverse sources and cross-validating them, the system achieves high reliability and comprehensiveness of terminal behavioral information, overcoming the limitations of single-source third-party information.
2Reliability
If AF network element provides third party- or service server-expected terminal behavioral information, then subscription information can be updated, but the update process is not mandatory and reliability is low
Solution Approach 1:
The data analytics network element performs self-service by autonomously collecting terminal behavioral information from core network elements, analyzing it to determine network side-expected terminal behavioral information, and automatically providing it to the user data management network element for subscription information updates. This self-service mechanism ensures reliable updates without requiring mandatory intervention from third-party AF network elements.
Solution Approach 2:
The system establishes a feedback loop where the data analytics network element continuously monitors terminal behavioral information from core network elements and provides updated subscription information to the user data management network element. This feedback mechanism ensures that subscription information is always based on current, reliable terminal behavioral data, improving the reliability of updates.
3Quantity of substance
If data is collected from multiple core network elements, then comprehensiveness of terminal behavioral information is improved, but system complexity increases
Solution Approach 1:
The data analytics network element is designed as a universal platform that can collect, analyze, and process terminal behavioral information from multiple core network elements (AMF, SMF, UPF, RAN). This multi-functional design consolidates the complexity into a single versatile component rather than requiring separate systems for each data source, thereby improving comprehensiveness while managing system complexity.
Data Source
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AI summary
Embodiments of this application relate to the field of communications technologies, and provide an information processing method and apparatus, to provide network side-expected terminal behavioral information with relatively high reliability. The solution 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. Because the data analytics network element is a network element managed by an operator, compared with third party- or service server-expected terminal behavioral information provided by an application function network element in the prior art, the network side-expected terminal behavioral information in this application has higher reliability and is more real.