NEF Round-Trip Latency Reporting for XRM QoS Authorization
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Solution Overview
Problem
Existing 5G systems lack a comprehensive mechanism to support real-time or quasi-real-time notification and reporting of latency status, which affects the quality of service authorization for extended reality and media services, particularly in scenarios involving multiple data flows within a user equipment or across multiple user equipments.
Innovation Solution
A method and apparatus for processing round-trip latency status information, involving a network exposure function (NEF), policy control function (PCF), and session management function (SMF) to receive and generate policies and configurations for monitoring and reporting RT latency status information, ensuring accurate and timely QoS monitoring and resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time RT latency status monitoring is implemented for XRM services, then QoS authorization accuracy is improved, but system complexity increases
Solution Approach 1:
The system segments the RT latency monitoring function into separate network functions: NEF for subscription management, PCF for policy generation, and SMF for execution and measurement. This segmentation allows each function to specialize in specific tasks, improving overall system reliability while managing complexity through functional decomposition.
Solution Approach 2:
The NEF acts as an intermediary between the AF and the core network functions (PCF, SMF). It receives subscription requests from AF, translates them into appropriate monitoring policies, and coordinates with PCF and SMF to implement RT latency monitoring, thereby simplifying the interface between different system components.
2Reliability
If comprehensive QoS monitoring policy is generated for multiple data flows, then service reliability is improved, but processing time increases
Solution Approach 1:
The PCF generates QoS monitoring policies in advance based on subscription requests from AF, before the actual data flow begins. This preliminary policy generation allows the SMF to pre-configure monitoring parameters and the network to prepare measurement mechanisms, reducing processing time when data flows actually occur.
Solution Approach 2:
The system dynamically adjusts monitoring parameters based on the specific requirements of different data flows and services. The PCF modifies policy parameters such as measurement intervals, threshold values, and reporting frequencies according to the service type and latency requirements, optimizing processing efficiency for each scenario.
3Measurement precision
If RT latency status information is reported frequently, then QoS monitoring precision is improved, but network overhead increases
Solution Approach 1:
The system implements periodic status reporting where the SMF reports RT latency information to the NEF at configured intervals or when threshold conditions are met. This periodic mechanism ensures continuous QoS monitoring precision while avoiding unnecessary frequent reporting that would increase network overhead.
Solution Approach 2:
The NEF receives RT latency status information from the SMF and provides feedback to the AF about QoS conditions. This feedback mechanism allows the system to adjust monitoring frequency and reporting parameters dynamically, maintaining measurement precision while reducing network overhead by reporting only when necessary.
Data Source
AI summary
A method for processing round-trip (RT) latency status information is applied to a network exposure function (NEF). The method includes: receiving a subscribe request message sent by an application function (AF), wherein the subscribe request message is configured to request for subscribing RT latency status information of an extended reality and media (XRM) service; and receiving report information, and sending the report information to the AF, wherein the report information is based on the subscribe request message.