Network Resource Telemetry Metrics for Wi-Fi Issue Remediation
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Solution Overview
Problem
Network issues such as low received signal strength indicator (RSSI) and channel utilization problems in Multiple Access Point (MAP) or mesh Wi-Fi networks are not effectively remediated using available telemetry data, leading to suboptimal user experience.
Innovation Solution
A network resource that monitors telemetry metrics like RSSI and channel utilization, compares them to thresholds, and sends configuration notifications to users to address installation and usage issues, thereby improving network performance and user experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If telemetry data is collected and monitored, then network issues can be detected, but the data is not typically used to provide remediation actions
Solution Approach 1:
The system implements a feedback loop where telemetry data is continuously monitored, analyzed against thresholds, and used to automatically generate configuration notifications. This closed-loop feedback mechanism transforms raw telemetry data into actionable remediation actions, enabling the system to not only detect network issues but also provide guidance for resolution without requiring manual intervention.
Solution Approach 2:
The system enables self-service by automatically analyzing telemetry metrics and generating configuration notifications that guide users through remediation actions. The network resource autonomously processes telemetry data, compares it against predefined thresholds, and produces actionable insights, reducing the need for manual analysis and expert intervention while allowing users to easily address network issues.
2Area of stationary object
If multiple access point devices are deployed to extend coverage, then user coverage is improved, but network configuration complexity increases
Solution Approach 1:
The system automates network optimization by having the network resource automatically analyze telemetry data from multiple access point devices, identify configuration issues, and generate targeted notifications. This self-service approach simplifies the management of complex multi-device networks by automatically detecting and communicating optimization opportunities, eliminating the need for manual configuration analysis of each device.
Solution Approach 2:
The system segments the network monitoring function by analyzing telemetry data from individual access point devices independently, comparing each against specific thresholds, and generating targeted notifications for each device. This segmentation allows the system to manage complexity by processing network issues individually rather than as a monolithic system, making the overall configuration management more manageable.
3Reliability
If access point devices are installed at optimal locations, then signal strength is improved, but installation difficulty increases
Solution Approach 1:
The system performs preliminary analysis of network telemetry data to identify potential installation issues before they impact user experience. By continuously monitoring RSSI and channel utilization metrics, the system can detect suboptimal device placement early and generate notifications guiding users through relocation or reconfiguration, thereby maintaining optimal signal strength while simplifying the installation process through automated guidance.
Solution Approach 2:
The system provides continuous feedback to users about the performance of their access point devices through configuration notifications. This feedback mechanism guides users through optimization processes by highlighting specific issues with signal strength or channel utilization, enabling them to make informed adjustments without requiring complex installation knowledge or tools.
4Productivity
If channel utilization is optimized, then network performance is improved, but monitoring and adjustment complexity increases
Solution Approach 1:
The system enables self-service channel optimization by automatically monitoring channel utilization metrics from access point devices, comparing them against performance thresholds, and generating targeted notifications. This eliminates the need for manual monitoring and analysis of channel conditions, allowing the system to autonomously identify optimization opportunities and communicate them to users in a simplified manner.
Solution Approach 2:
The system implements continuous feedback by monitoring channel utilization in real-time and comparing it against predefined performance thresholds. When suboptimal conditions are detected, the system generates configuration notifications that provide actionable guidance for channel optimization, enabling users to adjust their networks without requiring complex monitoring tools or expertise in wireless channel management.
Data Source
AI summary
As part of telemetry monitoring and collecting, a network resource averages one or more telemetry metrics associated with a network device for each network issue, such as received signal strength indicators (RSSI), channel utilizations, both associated with an installation issue, a usage issue, or both, respectively. The average is compared to a corresponding threshold and based on that comparison one or more configuration notifications are determined. The one or more configuration notifications are sent to a client device associated with a user so as to notify, inform or otherwise instruct the user as to remediating the network issue. The network resource can continuously, periodically, at timed intervals, on-demand, or otherwise monitor and collect the one or more telemetry metrics after an indication that an attempt has been made to remediate the network issue.