RF Interference Source Identification via Heat Map Analysis
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Solution Overview
Problem
Current methods for identifying sources of radio frequency interference in wireless networks are inefficient, requiring significant human capital and specialized equipment, and are challenging due to irregular interference patterns and shared RF spectrum usage, which complicates coordination among entities.
Innovation Solution
A system utilizing wireless stations to collect and analyze interference-indicating data, generating heat maps based on Free Space Path Loss calculations to quickly and accurately identify likely interference source locations, potentially with autonomous systems deploying vehicles for further investigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional manual methods with directional antennas are used to identify interference sources, then measurement precision can be achieved, but device complexity and human capital requirements increase significantly
Solution Approach 1:
The patent creates a virtual copy of the physical interference detection process by using network elements to collect, analyze, and map interference data automatically. Instead of requiring physical canvassing with directional antennas, the system replicates the detection function through software-based interference indication data collection and automated source identification algorithms.
Solution Approach 2:
The patent replaces the mechanical manual process of physically moving directional antennas to scan for interference sources with an automated electronic system. Network elements automatically collect interference data, and computational algorithms analyze this data to identify source locations, eliminating the need for manual physical scanning operations.
2Measurement precision
If field engineers physically canvass areas with directional antennas to identify interference sources, then interference source location can be determined, but time consumption increases significantly
Solution Approach 1:
The patent performs preliminary data collection and analysis by having network elements continuously monitor and store interference indication data before the actual interference source identification is needed. This pre-collected data is then processed automatically to quickly determine source locations without requiring time-consuming field canvassing.
Solution Approach 2:
The system enables self-service interference source identification where the network elements themselves collect, analyze, and report interference data automatically. This eliminates the need for external human intervention and field engineer canvassing, allowing the system to independently identify interference sources through automated algorithms.
3Productivity
If automated systems collect and analyze interference data from multiple wireless stations, then productivity increases, but device complexity increases
Solution Approach 1:
The patent makes network elements multi-functional by enabling them to perform not only their primary communication functions but also interference data collection, analysis, and source identification. This universal approach allows existing infrastructure to serve multiple purposes, reducing the need for separate dedicated equipment while maintaining high productivity.
Solution Approach 2:
The patent merges the interference detection function with the existing wireless network infrastructure. By combining data collection from multiple wireless stations and integrating analysis capabilities into the network elements, the system consolidates what would otherwise be separate complex systems into a unified automated solution.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces the time and resources needed to identify interference sources, enhances accuracy, and allows for autonomous detection and remediation, improving network performance by pinpointing and addressing interference more effectively.
Implementation Method 1
generating heat maps based on Free Space Path Loss calculations to quickly and accurately identify likely interference source locations
Data Source
AI summary
An interference detection system in a network determines that an unknown radio frequency (RF) interference source that causes RF interference experienced by a first wireless station is a persistent RF interference source over a plurality of time intervals in a selected time period. A predicted interference source location is identified for each time interval in the selected time period. An aggregated predicted interference source location is calculated based on the identified one or more predicted interference source locations.