PDU And N4 Session Metrics for 5G Core Troubleshooting
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing mobile communication systems face challenges in efficiently monitoring and managing PDU session modifications, releases, and N4 session management, which impact QoS and user experience due to potential failures and resource misallocation.
Innovation Solution
Implementing performance measurement techniques to monitor and communicate metrics related to PDU session modifications, releases, and N4 session establishment, including cumulative counters for various success and failure scenarios, to enhance resource allocation and troubleshooting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If performance measurement techniques are implemented to monitor PDU session modifications and N4 session establishment, then measurement precision and troubleshooting capability are improved, but device complexity and system overhead increase
Solution Approach 1:
The patent introduces a service producer as an intermediary component that collects raw performance measurements from multiple network functions (SMF, UPF, AMF) and generates processed performance measurements. This intermediary layer simplifies the overall system architecture by centralizing the complex measurement generation logic, allowing individual network functions to remain relatively simple while still achieving comprehensive performance monitoring through standardized interfaces.
2Reliability
If detailed performance metrics are collected and communicated for PDU session management, then reliability and troubleshooting capability are improved, but loss of information and communication overhead increase
Solution Approach 1:
The patent segments performance measurements into two distinct categories: raw performance measurements collected directly from network functions, and generated performance measurements processed by the service producer. This segmentation allows the system to maintain detailed measurement data for reliability while managing information overhead through structured classification and selective reporting of different measurement types.
Solution Approach 2:
The patent transforms raw performance measurement data into generated performance measurements by applying processing rules and transformations. This parameter change approach converts detailed raw data into meaningful performance indicators, maintaining the essential information needed for reliability assessment while reducing the volume of data that needs to be communicated and stored.
3Productivity
If comprehensive performance monitoring is implemented across multiple network functions, then productivity and resource allocation efficiency are improved, but device complexity and processing requirements increase
Solution Approach 1:
The patent implements self-service mechanisms where network functions (SMF, UPF, AMF) automatically generate and report their own raw performance measurements to the service producer without requiring external intervention. This self-service approach enables comprehensive productivity monitoring across the network while keeping individual network functions relatively simple, as each function independently manages its own measurement generation based on standardized templates.
Data Source
AI summary
Techniques discussed herein can facilitate generation of performance managements associated with one or more of PDU (Protocol Data Unit) session(s) and/or N4 session(s). One example embodiment is an apparatus configured to be employed in a service provider for a component of a Fifth Generation Core Network (5GC), comprising: a memory interface; and processing circuitry configured to: obtain one or more raw performance measurements from the component of the 5GC; and generate one or more performance measurements for the component of the 5GC based on the one or more raw performance measurements, wherein the one or more raw performance measurements and the one or more performance measurements are associated with one or more of a PDU (Protocol Data Unit) session or a N4 session.