NWDAF Service Detection via UPF Packet Analysis
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Solution Overview
Problem
Current methods for detecting services in 5G mobile communication systems are limited, as they require predefined detection rules and manual configuration, making it difficult to detect new services and apply differentiated network quality and charging policies.
Innovation Solution
A method is introduced where a network entity, such as a User Plane Function (UPF), receives requests from a Network Data Analytics Function (NWDAF) to detect and analyze service data flows, using identification information and filter criteria to automatically identify and differentiate services, thereby enabling automated application of quality of service and charging policies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If predefined detection rules are used for service detection, then the detection process is simple and standardized, but new services cannot be detected and manual configuration is required
Solution Approach 1:
The UPF performs autonomous service detection by extracting packet data and analyzing service characteristics without requiring manual rule configuration. The system self-identifies services through automated analysis of packet headers, payloads, and traffic patterns, enabling adaptive detection of both known and unknown services
Solution Approach 2:
The NWDAF acts as an intermediary between the UPF and network management functions. It receives packet data from the UPF, performs sophisticated service analysis, and provides detection results to the PCF, thereby bridging the gap between simple packet forwarding and complex service-aware policy management
2Measurement precision
If manual definition of detection rules is required, then detection accuracy for predefined services is high, but the complexity and time for policy configuration increases
Solution Approach 1:
The UPF continuously monitors and collects packet data in advance, maintaining a buffer of packet information that can be quickly analyzed when service detection is needed. This preliminary data collection enables rapid service identification without requiring time-consuming manual rule configuration at the moment of detection
Solution Approach 2:
Manual mechanical configuration of detection rules is replaced with automated electronic analysis. The NWDAF uses computational algorithms to analyze packet data, extract service characteristics, and automatically generate detection results, substituting human operators with automated intelligence to reduce configuration time while maintaining or improving accuracy
3Measurement precision
If all packet data is transmitted to NWDAF for analysis, then comprehensive service detection is achieved, but network signaling overhead and processing load increase
Solution Approach 1:
Instead of transmitting all packet data, the UPF extracts only the necessary portions - specifically packet headers and selective payload segments - that contain service identification information. This extraction approach maintains comprehensive service detection capability while significantly reducing the volume of data transmitted to the NWDAF, thereby lowering signaling overhead and processing requirements
Data Source
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AI summary
The disclosure relates to a communication method and a system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT). The disclosure may be applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. The disclosure relates to apparatuses and methods for detecting a specific service through a network data analytics function (NWDAF) in a mobile communication system and analyzing a characteristic related to the service.