Wireless Interference Mapping Using UE KPI Geolocation
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Solution Overview
Problem
Existing wireless networks face challenges in accurately determining and visualizing interference levels due to high dynamicity and user mobility, leading to service interruptions and suboptimal network performance, as current prediction tools are inaccurate and require significant manual analysis.
Innovation Solution
An electronic device and method that utilize actual user measurements, such as Key Performance Indicators (KPIs) and geo-location information from User Equipments (UEs) to create polygons representing interference areas on a geographical map, reducing the need for manual analysis and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If prediction tools are used to determine interference levels, then coverage area can be planned, but accuracy is insufficient and requires couples of weeks for entire level prediction
Solution Approach 1:
The patent replaces manual prediction tools with an automated electronic device that processes KPI data and geo-location information to determine interference levels. The system automatically generates polygons representing interference areas on geographical maps, eliminating the need for manual analysis and reducing prediction time from weeks to near-real-time processing.
Solution Approach 2:
The electronic device autonomously receives KPIs from UEs, processes the data using stored algorithms, and generates interference level visualizations without requiring manual intervention. The system self-updates interference polygons as new KPI data becomes available, maintaining continuous accuracy without external processing.
2Measurement precision
If manual analysis by RF engineers is performed, then accuracy of outcome can be achieved, but requires lot of man-hours
Solution Approach 1:
The patent replaces manual RF engineer analysis with an automated electronic device that processes KPI data and geo-location information. The system automatically determines interference levels, creates polygons representing interference areas, and visualizes them on geographical maps, eliminating manual processing while maintaining accuracy.
Solution Approach 2:
The system creates digital copies of interference patterns through automated polygon generation based on KPI data. These digital representations replicate the interference landscape without requiring physical manual mapping, enabling rapid processing and visualization of interference areas across the entire network coverage.
3Productivity
If access points are miniaturized and network is densified, then network capacity increases, but interference becomes stronger and more dynamic
Solution Approach 1:
The patent implements a feedback mechanism where the electronic device continuously receives KPI data from UEs and updates interference level visualizations in real-time. This feedback loop allows the system to track dynamic interference changes caused by network densification and user mobility, enabling adaptive network optimization to mitigate harmful interference effects.
Data Source
AI summary
Present disclosure provides visualizing interference level in a wireless network. The method includes receiving a plurality of KPIs from each UE (101) in the wireless network and geo-location information of each UE of plurality of UEs (101). The method includes determining interference level in plurality of geographic areas based on plurality of KPIs received from each UE of plurality of UEs (101) and geo-location information of each UE of plurality of UEs (101). The plurality of polygons are created based on interference level in plurality of geographic areas based on plurality of KPIs received from UE of plurality of UEs (101), and geo-location information of each UE of plurality of UEs (101). Further, plurality of polygons are stored for visualization on a geographical map.