AMF Mobility Management Using NWDAF Analytics
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Solution Overview
Problem
The 5G network lacks the capability to perform effective registration area management and reachability management for User Equipment (UE) based on mobility behavior analysis, as existing Network Data Analysis (NWDA) functions do not analyze UE mobility behavior, hindering customized mobility management services.
Innovation Solution
The proposed solution involves the Access and Mobility Management Function (AMF) receiving UE mobility-related information from the Network Data Analytic Function (NWDAF) or Policy Control Function (PCF), which sets UE mobility management parameters, including registration area and periodic registration timer values, based on mobility analytics or prediction information, to manage registration areas and reachability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the 5G network uses traditional network data analysis functions, then general network optimization can be achieved, but UE mobility behavior analysis and customized mobility management services cannot be provided
Solution Approach 1:
The patent segments the network data analysis function into specialized components: NWDAF for mobility behavior analysis, PCF for policy generation, and AMF for mobility management execution. This segmentation allows each component to focus on specific tasks, enabling customized mobility management services while maintaining overall network optimization capabilities.
Solution Approach 2:
The patent introduces NWDAF as an intermediary that collects and analyzes UE mobility behavior data, then provides analysis results to PCF. PCF acts as another intermediary that translates analysis results into mobility management policies, which are finally executed by AMF. This intermediary chain enables the flow of mobility behavior information through the network architecture.
2Adaptability or versatility
If the network collects and processes UE mobility behavior data, then customized mobility management can be achieved, but system complexity increases
Solution Approach 1:
The NWDAF is designed as a universal data analysis function that can serve multiple purposes: mobility behavior analysis, policy support, and optimization recommendations. This multi-functionality reduces the need for separate specialized components, thereby managing complexity while providing customized mobility management capabilities.
Solution Approach 2:
The system performs preliminary mobility behavior analysis through NWDAF before actual mobility management decisions are made. By pre-processing and analyzing mobility patterns in advance, the system prepares mobility management policies that can be directly applied, reducing the complexity of real-time decision-making in the AMF.
3Reliability
If mobility management parameters are dynamically adjusted based on analysis results, then service quality improves, but processing time and computational load increase
Solution Approach 1:
The system performs mobility behavior analysis and generates management policies in advance through NWDAF and PCF before actual mobility events occur. This preliminary processing allows the AMF to directly apply pre-computed policies, reducing real-time processing time and computational load while maintaining high accuracy in reachability management.
Solution Approach 2:
The NWDAF autonomously collects, analyzes, and generates mobility behavior insights without requiring real-time intervention. The PCF then automatically translates these insights into management policies. This self-service mechanism reduces the need for manual configuration and accelerates the overall parameter adjustment process.
Data Source
AI summary
Disclosed are an information processing method and apparatus, and a computer storage medium, and same are used for setting, based on mobility-related information of a terminal, mobility management parameters of the terminal, so that registration area management and accessibility management can be carried out using a mobility behavior analysis result of the terminal. The information processing method provided in the present application comprises: an AMF receiving mobility-related information of a terminal, and the mobility-related information of the terminal is mobility analysis/prediction information, sent by an NWDAF, of the terminal or mobility management policy information, sent by a PCF, of the terminal; and the AMF setting, according to the mobility-related information of the terminal, mobility management parameters of the terminal.


