5G Network Stability Testing Across Distributed Edge Data Centers
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Solution Overview
Problem
Existing 5G network instability testing is costly and time-consuming due to frequent interruptions, which can be caused by network congestion and environmental factors, leading to instability and performance degradation.
Innovation Solution
Implementing a distributed computing environment with edge computing and redundancy of critical components across third-party data centers, utilizing a verification application to perform interface verification processing in parallel, reducing bandwidth usage and latency through simultaneous testing across multiple geographic regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If centralized computing environment is used for 5G network instability testing, then testing can be performed with existing infrastructure, but testing is costly and time-consuming due to frequent interruptions and restarts
Solution Approach 1:
The patent divides the centralized testing infrastructure into multiple distributed edge computing nodes located in different geographic regions. Each edge node independently performs testing operations, allowing parallel execution of multiple test cases simultaneously. This segmentation eliminates the bottleneck of a single centralized system and reduces overall testing time and cost.
Solution Approach 2:
The patent introduces a geographic dimension to the testing infrastructure by deploying edge computing nodes across multiple locations. This spatial distribution enables simultaneous testing in different regions without interference, adding a new dimension to the testing process that significantly improves productivity while maintaining infrastructure simplicity.
2Reliability
If network instability testing is performed for extended periods to ensure reliability, then comprehensive testing results can be obtained, but testing interruptions occur due to network congestion and environmental factors
Solution Approach 1:
By segmenting the testing system across multiple geographic regions with independent edge nodes, the patent ensures that interruptions in one region do not affect testing in other regions. This allows continuous testing operations to proceed simultaneously across multiple locations, minimizing overall testing time while maintaining comprehensive reliability assessment.
Solution Approach 2:
The distributed edge computing architecture enables continuous testing operations by allowing multiple test cases to run simultaneously in different geographic regions. Even if one region experiences network congestion or environmental interruptions, testing continues uninterrupted in other regions, maintaining continuous useful action across the entire testing system.
3Productivity
If multiple testing operations are executed simultaneously to improve productivity, then testing time is reduced, but bandwidth usage increases and network congestion occurs
Solution Approach 1:
The patent implements local quality by deploying edge computing nodes close to the network elements being tested in different geographic regions. Each edge node performs testing locally in its region, reducing the need to transmit large amounts of test data through the core network. This localized testing approach maintains high productivity while minimizing bandwidth consumption and avoiding network congestion.
Data Source
AI summary
A system having a remote data center that broadcasts, to a various data centers, a verification application and a start instruction that commands each of the various data centers to execute the verification application. A processor in each of the various data centers, when extracting the verification application, obtains a collection of respective IP addresses for nodes, components and network functions in a geographic region and pings the IP addresses to determine whether or not performance in the network falls below a predetermined performance metric.