Wireless Network Location Metrics for Anomaly Detection
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Solution Overview
Problem
Existing wireless network systems lack effective methods to determine and monitor location metrics that indicate satisfactory location performance, leading to potential anomalies and reduced user experience.
Innovation Solution
A network management system (NMS) evaluates location performance using metrics such as latency, jitter, dropped requests, AP uptime, and user connect time, with configurable thresholds, to identify anomalies and automatically invoke remedial actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If location metrics are implemented to monitor wireless network performance, then location performance monitoring capability is improved, but system complexity increases
Solution Approach 1:
The patent segments location performance monitoring into distinct metrics (latency, jitter, dropped requests, AP uptime, user connect time), each measuring a specific aspect of performance. This segmentation allows comprehensive monitoring while keeping each individual metric simple and manageable, resolving the contradiction between comprehensive monitoring capability and system complexity.
Solution Approach 2:
The patent implements feedback mechanisms where location metrics are continuously collected, analyzed, and used to generate insights about wireless network performance. The system provides feedback through configurable thresholds and anomaly detection, enabling automatic responses and continuous improvement without requiring overly complex manual analysis processes.
2Measurement precision
If multiple location metrics with configurable thresholds are implemented, then location performance evaluation accuracy is improved, but measurement and detection difficulty increases
Solution Approach 1:
The patent employs configurable thresholds as adjustable parameters that can be customized based on specific network requirements and performance expectations. By allowing parameter changes in threshold values, the system achieves accurate performance evaluation for different scenarios without requiring complex measurement and detection mechanisms, thus resolving the contradiction between measurement precision and detection difficulty.
Data Source
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AI summary
This disclosure describes a system including a plurality of access point (AP) devices configured to provide a wireless network at a site; and a network management system (NMS) including a memory storing client-side data collected by a plurality of client devices associated with the wireless network and storing location data associated with each of the plurality of client devices generated by a location engine in response to location requests issued by each of the plurality of client devices, and one or more processors coupled to the memory and configured to determine, based on at least one of the client-side data and the location data, one or more location metrics associated with the location requests issued by the plurality of client devices.