Wi-Fi Access Point Spectrum Analyzer for 6 GHz Interference

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Solution Overview

Problem

Current automated frequency coordination systems lack an accurate mechanism to measure interference between Wi-Fi communications and incumbent 6 GHz systems, leading to potential interference issues and limitations in power mode operations for Wi-Fi access points.

Innovation Solution

Incorporating a Wi-Fi access point-based spectrum analyzer that collects and stitches 6 GHz frequency spectrum data, determines power modes, and transmits reports to an AFC server, enabling more accurate interference assessments and power mode authorizations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If Wi-Fi access points operate in standard power mode in 6 GHz band, then communication efficiency is improved, but interference with incumbent systems may increase

Engineering Contradiction:
Improvecommunication efficiencyVSAvoidinterference with incumbent systems
Core Design Contradiction:
ProductivityVSObject-affected harmful factors

Solution Approach 1:

The patent implements a feedback mechanism where the Wi-Fi access point continuously monitors the 6 GHz frequency spectrum, measures interference-to-noise ratios, and reports data to an AFC server. The AFC server processes this feedback and provides authorization decisions, creating a closed-loop system that enables standard power mode operation while dynamically managing interference through real-time spectrum measurements and regulatory compliance verification.

Inventive Principle:
Principle #23Feedback

2Measurement precision

If spectrum analysis is implemented to measure interference accurately, then interference assessment precision is improved, but device complexity increases

Engineering Contradiction:
Improveinterference-to-noise ratio measurement accuracyVSAvoidspectrum analyzer integration complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent makes the Wi-Fi access point multi-functional by integrating spectrum analysis capabilities into the existing access point hardware. The access point simultaneously performs its standard Wi-Fi communication functions and spectrum monitoring functions, eliminating the need for separate dedicated spectrum analyzer devices and reducing overall system complexity while achieving accurate interference measurements.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The Wi-Fi access point performs self-measurement of the interference-to-noise ratio by autonomously scanning the 6 GHz frequency spectrum and analyzing signals using its own processing resources. This self-service approach eliminates the need for external measurement equipment or manual interference assessment, reducing device complexity while maintaining measurement precision.

Inventive Principle:
Principle #25Self-service

3Measurement precision

If continuous spectrum scanning is performed to collect frequency data, then interference detection accuracy is improved, but energy consumption increases

Engineering Contradiction:
Improvefrequency spectrum data accuracyVSAvoidenergy consumption for scanning
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The patent implements periodic spectrum scanning instead of continuous scanning, where the Wi-Fi access point performs interference-to-noise ratio measurements at scheduled intervals. This periodic action maintains sufficient frequency spectrum data accuracy for interference detection while significantly reducing energy consumption compared to continuous monitoring, as the access point can return to normal operation between scanning cycles.

Inventive Principle:
Principle #19Periodic action

Data Source

PatentUS20230232242A1Improved spectrum analyzer for WI-fi
Publication Date: 2023.07.20 MAXLINEAR INC
  • US20230232242A1 patent drawing
  • US20230232242A1 patent drawing
  • US20230232242A1 patent drawing

AI summary

A method for collecting frequency spectrum data for an automated frequency coordination (AFC) system includes determining an operation mode of a Wi-Fi access point. The method also includes in response to a determination that the operation mode is associated with 6 GHz transmissions, determining a power mode of the Wi-Fi access point. The method also includes in response to a determination that the Wi-Fi access point is in a standard power mode, scanning one or more 6 GHz bands to begin collecting 6 GHz frequency spectrum data.