Edge Application Server Measurements for 5GC Performance Mitigation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The increasing complexity and demand on NG wireless networks due to diverse user equipment and data usage have led to challenges in managing edge computing and network function measurements, particularly in 5G and emerging 6G systems.
Innovation Solution
Implementing edge application servers and 5th generation core network (5GC) network function measurements to optimize network performance and measurement collection through configurable measurement control and performance job management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If edge computing and diverse communication devices are integrated into NG wireless networks, then network functionality and service capability are improved, but device complexity and network management difficulty increase
Solution Approach 1:
The patent segments network measurements into multiple dimensions including EAS performance measurements, 5GC NF performance measurements, and radio access network measurements. This segmentation allows complex network functionality to be managed through modular, organized measurement categories that can be independently configured and monitored, reducing overall system complexity while maintaining versatility
Solution Approach 2:
The patent implements a universal measurement framework that can simultaneously handle multiple types of measurements (EAS performance, 5GC NF performance, radio access) through a single standardized interface. This multi-functional approach allows the network to support diverse devices and services without requiring separate management systems for each measurement type, thereby improving adaptability while controlling complexity
2Loss of information
If measurement collection is expanded to include EAS and 5GC NF performance data, then network management capability is improved, but measurement precision and reliability become more difficult to ensure
Solution Approach 1:
The patent applies local quality by defining specific measurement parameters tailored to each network component's unique requirements. EAS measurements focus on application-level performance metrics, while 5GC NF measurements concentrate on core network function performance. This localized measurement approach ensures that each measurement type is optimized for its specific context, maintaining high precision and reliability across diverse measurement domains
Solution Approach 2:
The patent implements feedback mechanisms where measurement results from EAS and 5GC NF are continuously monitored and used to adjust measurement configurations. This feedback loop ensures measurement reliability by validating data quality and enabling dynamic adjustment of measurement parameters to maintain precision as network conditions change
3Ease of operation
If configurable measurement control is implemented, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The patent implements dynamic measurement control where measurement configurations can be adjusted in real-time based on network conditions and service requirements. The system allows operators to dynamically enable/disable specific measurement types (EAS, 5GC NF, radio access) and adjust measurement parameters without requiring complex manual reconfiguration, thereby improving ease of operation while using automation to manage the underlying complexity
Data Source
AI summary
An apparatus and system of collecting and reporting measurements for an Edge Application Server and 5th generation core network (5GC) network functions (NFs) that impact EAS performance are described. An application service provider (ASP) receives EAS performance measurements from edge computing service provider (ECSP) management system. The ECSP management system receives from the PLMN management system performance measurements from the 5GC NF that impact edge computing applications. The measurements are used to evaluate the end-to-end EAS performance, and determine actions to mitigate any issues based thereon.