Wi-Fi Coverage Quality Score for Multi-AP Client Steering
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Solution Overview
Problem
Existing methods for assessing Wi-Fi coverage quality in multi-AP environments are inadequate, particularly in crowded wireless settings with high client density, as they fail to accurately measure signal strength and noise floor at client locations, leading to sub-optimal client-to-AP association and reduced network throughput.
Innovation Solution
A system and method that computes a Coverage Quality (CQ) score by receiving link quality and usage measurements, weighting them based on metrics, evaluating against thresholds, and assigning to link quality bins, providing a ratio-based score that accounts for dynamic client mobility and data usage patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple access points are deployed in a home network, then coverage area and network capacity are improved, but client-to-AP association complexity and sub-optimal association risks increase
Solution Approach 1:
The system continuously monitors link quality metrics (RSSI, SNR, MCS index) and uses this feedback to dynamically assess coverage quality and guide client steering decisions, ensuring clients associate with the most appropriate AP based on real-time conditions
Solution Approach 2:
The patent introduces a coverage quality score derived from multiple parameters (RSSI, SNR, MCS index, data usage) that transforms complex multi-AP association decisions into a simplified scoring system, enabling optimal client steering without increasing operational complexity
2Ease of operation
If parametric coverage assessment methods are used, then measurement simplicity is maintained, but measurement precision and real-life applicability deteriorate
Solution Approach 1:
The system performs multiple functions using the same measurement infrastructure: it simultaneously assesses coverage quality, identifies clients needing steering, evaluates extender placement opportunities, and tracks network performance trends, all through automated collection of standard Wi-Fi link quality metrics
Solution Approach 2:
The system automatically collects link quality data from existing network operations, processes the information through coverage quality scoring algorithms, and generates actionable insights without requiring manual field testing or specialized measurement equipment
3Productivity
If coverage quality scoring is implemented, then network performance optimization is improved, but system complexity and data processing requirements increase
Solution Approach 1:
The coverage quality score acts as an intermediary metric that simplifies complex multi-parameter assessment into a single actionable value, enabling straightforward client steering and extender placement decisions without requiring complex real-time optimization algorithms
Solution Approach 2:
The system focuses on measuring and acting on the most critical coverage quality indicators rather than attempting to optimize all possible network parameters, achieving significant performance improvement through targeted intervention on key metrics
Data Source
AI summary
A communication interface receives data points including link quality and link usage measurements related to a mobile computing device associated with the wireless network during a sampling interval. A processing device weights each data point based on at least one metric included in the link quality measurement and associated with a link usage measurement. Each weighted data point is evaluated against one or more thresholds. A weighted data point is discarded based on a result of the threshold comparison or assigned to one of a plurality of link quality bins based on a consolidated measure of the link quality measurements. A coverage quality score is computed based on a ratio of a total count of weighted link quality measurements in at least one of the plurality of link quality bins to a total count of weighted link quality measurements in all of the link quality bins.