Cloud Core Call Tracing Across Multi-Region 5G Pod Instances
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Solution Overview
Problem
The complexity of modern 5G New Radio (NR) cellular networks, with components sourced from different vendors and executed as virtualized software, makes it difficult to locate, monitor, and test call flows within a cloud-based cellular network core.
Innovation Solution
A cloud-based cellular network call trace creation system is implemented, comprising a user interface, cloud platform drill engine, call trace initialization and analysis engine, and output engine, to identify and execute call traces across multiple instantiations of network functions and pods, capturing and analyzing communication data for troubleshooting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If cellular network components are virtualized and sourced from different vendors to improve adaptability, then the adaptability of the network increases, but the complexity of locating and monitoring call flows increases
Solution Approach 1:
The patent introduces a trace initiation function and trace management function as intermediary components that mediate between the user and the distributed network functions. These intermediary functions provide a unified interface for initiating and managing traces across multiple vendors and virtualized components, thereby maintaining adaptability while reducing the complexity of locating and monitoring call flows.
2Reliability
If network functions are distributed across multiple cloud computing regions to improve reliability, then the reliability of the network increases, but the difficulty of detecting and measuring call flows increases
Solution Approach 1:
The trace management function is designed as a universal component that can manage traces across multiple cloud computing regions and different network function instances. It provides multi-functional capabilities including trace initiation, trace management, and trace data retrieval, allowing a single system to handle monitoring across distributed locations, thereby maintaining reliability while reducing the difficulty of detecting and measuring call flows.
3Measurement precision
If call trace data is collected from multiple instantiations of pods to improve measurement precision, then the measurement precision of call flows increases, but the loss of time for collecting and analyzing data increases
Solution Approach 1:
The trace initiation function establishes trace configurations and prepares data collection mechanisms in advance before actual call flow monitoring is needed. By pre-configuring trace parameters and data collection paths across multiple pod instantiations, the system can rapidly collect precise measurement data when needed, thereby improving measurement precision while minimizing the time loss for data collection and analysis.
Data Source
AI summary
Systems and methods for performing a call trace with a cloud-implemented cellular network core are provided. In one example, a method includes: receiving input of a cloud computing region of a cloud computing platform for call trace, identifying a plurality of instantiations of a pod within a cellular network core function of a cellular network core, the cellular network core function being executed on the cloud-computing platform, and executing a call trace for the plurality of instantiations of the pod within the cellular network core function. The cellular network core of a cellular network is implemented across multiple cloud computing regions, and the cellular network core is implemented on the cloud computing platform that includes a plurality of cloud computing regions that includes the cloud computing region.