Virtualized Cellular Network Testing with Chaos Injection and ML Ticketing

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

The complexity of cellular networks, particularly those utilizing open radio access networks and virtualization, necessitates extensive testing to ensure components function correctly and respond to real-world failures and degradations, which existing methods have not adequately addressed.

Innovation Solution

A method and system for performing cellular network testing involving the creation of a cloud-based test environment, injection of chaos to simulate real-world conditions, and use of machine learning to analyze performance metrics and identify responsible components, with ticket logging and external entity access for issue resolution.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If extensive testing is performed on virtualized cellular networks, then reliability is improved, but device complexity and time consumption increase

Engineering Contradiction:

Improvenetwork reliabilityVSAvoidtesting system complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The testing system is segmented into multiple independent components including chaos injection modules, test environment creation modules, machine learning analysis modules, and ticketing systems. Each module performs a specific function, allowing the complex testing process to be broken down into manageable segments that can be developed, maintained, and executed independently.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

A machine learning model acts as an intermediary between test execution and issue identification. The ML model automatically analyzes test results, identifies performance metric failures, and generates tickets, eliminating the need for manual analysis and reducing the complexity of coordinating multiple testing components.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Measurement precision

If comprehensive testing is performed on hybrid cellular networks, then measurement precision is improved, but loss of time increases

Engineering Contradiction:

Improveperformance metric accuracyVSAvoidtesting duration

Core Design Contradiction:

Measurement precisionVSLoss of time

Solution Approach 1:

Test environments are created in advance that replicate production network conditions, and chaos scenarios are pre-configured. This allows comprehensive testing to be executed without requiring extensive setup time during actual testing phases, as the infrastructure and test cases are prepared beforehand.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The testing system operates continuously by automatically creating test environments, executing tests, analyzing results through machine learning, and generating tickets without manual intervention. This continuous automated operation maintains high measurement precision while reducing total testing time compared to manual processes.

Inventive Principle:

Principle #20Continuity of useful action

3Productivity

If automated analysis and ticketing systems are implemented, then productivity is improved, but device complexity increases

Engineering Contradiction:

Improveissue identification speedVSAvoidsystem architecture complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The system performs self-service through automated machine learning analysis that independently identifies performance metric failures and generates tickets without human intervention. The ticketing system automatically correlates issues and manages workflows, enabling the system to serve itself and dramatically improving productivity while the modular architecture manages complexity.

Inventive Principle:

Principle #25Self-service

4Adaptability or versatility

If cloud-based test environments are created for hybrid networks, then adaptability is improved, but loss of energy increases

Engineering Contradiction:

Improvetesting flexibilityVSAvoidcloud platform energy consumption

Core Design Contradiction:

Adaptability or versatilityVSUse of energy by stationary object

Solution Approach 1:

Instead of testing directly on the production hybrid cellular network, the system creates virtual copies or representations of the network environment in the cloud. These test environments replicate production conditions without requiring physical duplication of hardware, providing adaptability while reducing energy consumption compared to running full-scale physical test networks.

Inventive Principle:

Principle #26Copying

Data Source

PatentUS20250247319A1Virtualized cellular network multi-stage test and ticketing environment

Publication Date: 2025.07.31 BOOST SUBSCRIBERCO LLC

AI summary

Various arrangements for performing cellular network testing are presented herein. A test environment can be created for a production cellular network. A test can be defined for the cellular network within the testing environment then performed. An issue can be logged that indicates that a performance metric of the cellular network within the test environment was not met. The issue and the test environment are analyzed to identify a component responsible for the performance metric not being met. The cellular network as implemented in the test environment, the production network, or both can then be modified.