WiFi Channel Quality Scoring via Airtime Occupancy

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Solution Overview

Problem

Current WiFi diagnostic and troubleshooting methods are often access point-centric, failing to provide accurate and readable evaluations of WiFi link quality at communication devices, particularly for real-time data transmission, and do not allow comparison of channel quality among available channels within the same frequency band.

Innovation Solution

A method implemented on communication devices to compute a quality score for WiFi channels by obtaining bandwidth, neighboring access points, and airtime occupancy, allowing evaluation and potential channel switching for improved data transmission and reception conditions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If full Wi-Fi network monitoring with deep channel inspection is implemented at access point level, then monitoring efficiency is improved, but device complexity and cost increase significantly

Engineering Contradiction:
Improvemonitoring efficiencyVSAvoiddevice complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent inverts the traditional access-point-centric monitoring approach by implementing channel quality assessment at the communication device (client) side. The device autonomously scans channels, detects neighboring access points, estimates airtime occupancy, and computes quality scores without requiring complex infrastructure at the access point level.

Inventive Principle:
Principle #13The other way round (Inversion)

Solution Approach 2:

The communication device performs self-diagnosis and self-assessment of WiFi channel quality by autonomously gathering network information, analyzing channel conditions, and generating quality evaluations. This eliminates the need for external monitoring infrastructure while providing device-specific diagnostic capabilities.

Inventive Principle:
Principle #25Self-service

2Measurement precision

If access point centric solutions are used, then network level monitoring is improved, but device specific issue identification deteriorates

Engineering Contradiction:
Improvenetwork monitoring capabilityVSAvoiddevice specific issue identification
Core Design Contradiction:
Measurement precisionVSDifficulty of detecting and measuring

Solution Approach 1:

The patent shifts the monitoring perspective from network-level (access point) to device-level (client). By having the communication device perform the assessment, the solution captures device-specific conditions such as local interference, signal strength at the actual receiving point, and channel quality from the client's viewpoint, enabling precise identification of device-specific issues.

Inventive Principle:
Principle #13The other way round (Inversion)

Solution Approach 2:

The solution provides localized quality assessment specific to each communication device rather than a generalized network view. Each device independently evaluates channel quality based on its specific location, hardware characteristics, and local environment, enabling tailored diagnostic information for device-specific problems.

Inventive Principle:
Principle #3Local quality

3Ease of operation

If only RSSI measurement is provided, then simplicity is improved, but quality assessment accuracy deteriorates

Engineering Contradiction:
ImprovesimplicityVSAvoidquality assessment accuracy
Core Design Contradiction:
Ease of operationVSMeasurement precision

Solution Approach 1:

The patent combines multiple assessment dimensions including signal strength (RSSI), channel bandwidth, number of neighboring access points, and airtime occupancy estimation into a unified quality score. This multi-parameter approach maintains computational simplicity while significantly improving assessment accuracy compared to RSSI alone.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The solution transitions from a single parameter (RSSI) to multiple parameters (bandwidth, neighbor count, airtime occupancy) that collectively define channel quality. By changing the assessment from monodimensional to multidimensional, the patent achieves both simplicity and accuracy through automated computation of a composite quality metric.

Inventive Principle:
Principle #35Parameter changes

4Quantity of substance

If only current channel information is provided, then data volume is reduced, but channel comparison capability deteriorates

Engineering Contradiction:
Improveinformation volumeVSAvoidchannel comparison capability
Core Design Contradiction:
Quantity of substanceVSAdaptability or versatility

Solution Approach 1:

The patent performs preliminary scanning and assessment of multiple channels before the user needs to make a decision. The device proactively gathers information about available channels, their quality characteristics, and comparisons, so when channel selection or troubleshooting is needed, comprehensive data is already prepared and ready for immediate use.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentEP3941103B1Method for evaluating the quality of a channel operable by a WIFI access point for establishing a WIFI connection with a communication device, corresponding device, computer program product and computer-readable carrier medium
Publication Date: 2023.11.22 THOMSON LICENSING SA
  • EP3941103B1 patent drawingFigure 1
  • EP3941103B1 patent drawingFigure 2a~2b
  • EP3941103B1 patent drawingFigure 3~4

AI summary

The disclosure relates to a method and device for evaluating the quality of a channel operable by a WiFi access point for establishing a WiFi connection with a communication device. The method is implemented by the communication device, which is already connected to the access point on a given channel, called a current channel (CC), within a predetermined WiFi frequency band. The method includes a first phase for computing a score representative of a channel quality for at least one WiFi channel, called a scanned channel (SC), within the predetermined WiFi frequency band, the first phase including at least one iteration of: obtaining (11) the scanned channel bandwidth and a maximum effective isotropic radiated power associated with the scanned channel; determining (12) a number of neighboring access points operating in the scanned channel; estimating (13) a neighbor airtime occupancy for the scanned channel; and computing (14) a score for the scanned channel (SC), as a function of the obtained bandwidth, the obtained maximum effective isotropic radiated power, the determined number of neighboring access points, and the estimated neighbor airtime occupancy.