NWDAF Slice Analytics for Dynamic UE and PDU Session Control
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Solution Overview
Problem
The existing 5G network slice technology is inflexible in adjusting the quantity of User Equipments (UEs) and Protocol Data Unit (PDU) sessions, as these parameters are configured statically, limiting the network's ability to adapt to varying demands.
Innovation Solution
An information processing method and device that utilizes Network Data Analytics Functions (NWDAF) to obtain and analyze slice information, determining and transmitting analysis results related to the quantity of UEs or PDU sessions, enabling dynamic adjustment and congestion control through network elements like PCF, AMF, and NSSF.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If static configuration of slice parameters is used, then network simplicity is maintained, but network flexibility and adaptability deteriorate
Solution Approach 1:
The patent introduces NWDAF (Network Data Analytics Function) as an intermediary component that collects, analyzes, and provides recommendations for slice parameter adjustments. This mediator enables flexible adaptation without requiring complex direct control mechanisms across all network elements, thus improving network flexibility while managing complexity through a dedicated analytics function.
Solution Approach 2:
The patent implements feedback mechanisms where network elements monitor slice performance metrics (UE quantity, PDU session quantity, slice rate) and provide this information to NWDAF. NWDAF analyzes the feedback and generates recommendations that are transmitted back to network elements for parameter adjustment, enabling dynamic adaptation based on real-time network conditions.
2Productivity
If static maximum quantity parameters are configured, then configuration simplicity is maintained, but the ability to handle varying network demands deteriorates
Solution Approach 1:
The patent transforms static maximum quantity parameters into dynamic parameters that can be adjusted based on network conditions. NWDAF collects real-time data on UE quantities, PDU session quantities, and slice rates, then provides recommendations to adjust maximum quantity parameters dynamically, enabling the network to adapt its capacity to varying demands while managing complexity through automated analytics.
Solution Approach 2:
The patent enables parameter changes by allowing maximum quantity parameters (maxUEPerSlice, maxPDUperSlice, sliceRate) to be modified based on NWDAF recommendations. Network elements can adjust these parameters dynamically according to analyzed network conditions, transforming fixed parameters into adaptable ones that respond to changing network demands.
3Adaptability or versatility
If real-time analysis and dynamic adjustment are implemented, then network adaptability improves, but system complexity and processing overhead increase
Solution Approach 1:
The patent segments the network into distinct functional components with specific responsibilities: network elements collect and report metrics, NWDAF analyzes data and generates recommendations, and network elements implement adjustments. This segmentation allows real-time analysis and dynamic adjustment while managing complexity through clear separation of concerns and dedicated functional roles.
Data Source
AI summary
An information processing method, device and apparatus, and a readable storage medium are provided. The information processing method includes: obtaining information of a slice; determining, in accordance with the information of the slice, at least one of an analysis result related to the quantity of UEs in the slice or an analysis result related to the quantity of PDU sessions in the slice; and transmitting at least one of the analysis result related to the quantity of UEs or the analysis result related to the quantity of PDU sessions to a target network element.