RF Interference Source Identification via Wireless Station Heat Maps
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Solution Overview
Problem
Identifying the source of radio frequency interference in wireless telecommunications networks is challenging due to irregular interference patterns and the need for significant human capital and specialized equipment, especially when interference occurs from external devices operating in overlapping frequency bands.
Innovation Solution
A system that uses wireless stations to collect and analyze interference-indicating data, generates a heat map to locate potential interference sources by calculating Free Space Path Loss, and iteratively refines the location guesses to minimize error, assisting field engineers in quickly identifying interference sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If field engineers manually canvass the area with a directional antenna to identify interference sources, then the source can be identified, but it requires significant human capital and specialized equipment
Solution Approach 1:
The wireless stations automatically detect, measure, and report interference levels without requiring field engineers to manually canvass the area. The system self-monitors RF conditions and generates interference reports that can be processed to identify source locations, eliminating the need for manual detection procedures.
Solution Approach 2:
The patent replaces the mechanical manual canvassing process with automated electronic detection and computational analysis. Instead of engineers physically moving with directional antennas, the system uses automated RF measurements and computer processing to identify interference sources through algorithmic analysis of collected data.
2Measurement precision
If field engineers manually detect interference sources, then the source can be identified, but it requires significant time investment
Solution Approach 1:
The system continuously collects and stores RF measurement data in advance, building a database of interference levels over time. When interference is detected, the pre-collected data is immediately processed algorithmically to identify source locations, eliminating the need for time-consuming manual canvassing during the actual interference event.
Solution Approach 2:
The wireless stations continuously monitor RF conditions and automatically report interference levels without interruption. This continuous automated monitoring ensures that interference events are detected and analyzed immediately, eliminating the gaps and delays inherent in manual detection processes.
3Measurement precision
If conventional manual processes are used for interference identification, then sources can be located, but it requires specialized equipment and human expertise
Solution Approach 1:
The system automatically performs detection, measurement, and analysis functions that previously required specialized human expertise. The wireless stations self-monitor RF conditions, automatically generate interference reports, and the processing system algorithmically identifies source locations without requiring field engineers to interpret complex measurements.
Solution Approach 2:
The patent introduces computational algorithms and processing systems as intermediaries between the raw RF measurements and the final interference source identification. This intermediary processing layer translates complex automated measurements into actionable location data, simplifying the overall operation while maintaining accuracy.
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 method allows for more accurate and efficient identification of interference sources, reducing the time and resources required for manual detection and enabling quicker resolution of interference issues in shared RF spectrum environments.
Implementation Method 1
generates a heat map to locate potential interference sources by calculating Free Space Path Loss
Data Source
AI summary
An interference detection system in a network identifies a first wireless station that has experienced radio frequency (RF) interference from an unknown source on at least one physical resource block (PRB) by determining that a key performance indicator (KPI) for the at least one PRB on the first wireless station has a value indicative of interference. The interference detection system identifies one or more second wireless stations that have experienced similar interference on the at least one PRB. A plurality of estimated interference source locations are determined based at least on geographic locations of the first wireless station and the one or more second wireless stations. Determining the plurality of estimated interference source locations further comprises generating a boundary based on the geographic locations of the first wireless station and the one or more second wireless stations and selecting a plurality of estimated interference source locations within the boundary.