Automated Network Inspection System for Configuration Alignment
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Solution Overview
Problem
Conventional methods for aligning network configurations in mobile communication technologies are inefficient and costly, often leading to inaccuracies and signal deterioration due to laborious troubleshooting and repair efforts, which can be time-consuming and expensive.
Innovation Solution
An automated inspection system is deployed in the core network with inspection agents near the edge to collect geo-located reports from User Equipment (UE) via Radio Access Nodes (RANs), allowing for the detection and automatic reconfiguration of network discrepancies, minimizing interruptions by performing updates during off-peak hours.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automated inspection system is deployed to detect network discrepancies, then inspection accuracy and efficiency are improved, but system complexity increases
Solution Approach 1:
The inspection system is segmented into multiple independent components: inspection agents deployed at network edges, data collection modules, analysis engines, and remediation systems. Each component performs a specific function, allowing the overall system to achieve high inspection accuracy while managing complexity through modular architecture.
Solution Approach 2:
Inspection agents act as intermediaries between the core network and user equipment, collecting geo-located reports and network state data. These agents bridge the gap between distributed network elements and central management systems, enabling accurate inspection without requiring direct complex connections between all network components.
2Device complexity
If manual troubleshooting and repair methods are used for network configuration alignment, then implementation simplicity is maintained, but time consumption and cost increase
Solution Approach 1:
The system implements automated self-service capabilities where inspection agents autonomously detect network configuration discrepancies, analyze the issues using embedded logic, and trigger remediation actions without human intervention. This self-service approach eliminates manual troubleshooting while maintaining implementation feasibility through standardized automation protocols.
Solution Approach 2:
The system performs preliminary inspection and detection of network configuration issues before they cause service degradation. By proactively identifying misalignments between intended and actual network configurations, the system prevents problems rather than reacting to them, reducing overall time consumption.
3Reliability
If network reconfiguration is performed during peak hours to minimize user impact, then user experience is improved, but network disruption and downtime increase
Solution Approach 1:
The system continuously monitors network state and user experience metrics, using this feedback to determine optimal reconfiguration timing. By analyzing real-time network conditions and user activity patterns, the system can schedule reconfiguration operations during periods of low impact, balancing user experience with minimal disruption.
Solution Approach 2:
The inspection and reconfiguration process operates periodically with automated cycles that assess network state, detect discrepancies, and perform corrections at scheduled intervals. This periodic operation allows the system to maintain continuous monitoring while performing intrusive reconfiguration actions only when appropriate conditions are met.
Data Source
AI summary
Systems, methods, and devices that relate to an inspection system deployed in a core network. The inspection system includes one or more inspection agent nodes located close to an edge of the core network configured to generate one or more network reports based on information from one or more access nodes. An inspection manager node is in communication with the one or more inspection agent nodes to receive one or more network reports from the one or more inspection agent nodes, derive an actual network behavior of the one or more access nodes based on the one or more network reports, detect a discrepancy between an expected network behavior and the actual network behavior, and trigger a reconfiguration of at least one of the one or more access nodes based on the discrepancy.