Grid-Based Call Drop Area Identification in Wireless Networks
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Solution Overview
Problem
Call drops occur during handovers between base stations in network environments, indicating inefficiencies or errors within the network, and existing methods lack effective solutions for identifying and optimizing these issues.
Innovation Solution
A system and method that divide a network cluster into grids, determine call drop percentages, and generate call drop polygons based on predetermined thresholds, using drive test data and geo-located information to identify areas requiring optimization, and assign priorities for targeted improvements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the network cluster is divided into grids and call drop percentages are calculated for each grid, then the precision of identifying call drop areas is improved, but the complexity of the system increases
Solution Approach 1:
The network cluster is divided into multiple grids, allowing call drop analysis to be performed at a granular level. Each grid can be independently analyzed for call drop percentage, enabling precise identification of problem areas without overwhelming system complexity through modular processing
Solution Approach 2:
The patent introduces a spatial dimension by creating call drop polygons that visually represent geographic areas with high call drop percentages. This transforms abstract call drop data into spatially-aware polygonal regions, enabling intuitive identification and prioritization of optimization areas
2Ease of operation
If call drop polygons are generated to visualize high call drop areas, then the ease of operation for identifying problem areas is improved, but the device complexity increases
Solution Approach 1:
Call drop polygons are generated with visual characteristics that represent different call drop severity levels. The polygonalization and visual representation enable operators to quickly identify problem areas through intuitive visual cues rather than analyzing raw numerical data
Solution Approach 2:
The system creates simplified polygonal representations that copy and represent the essential characteristics of high call drop areas. These polygons serve as simplified models that capture the geographic extent and severity of call drop problems without requiring detailed analysis of every individual grid point
Data Source
AI summary
A method of identifying call drop areas includes dividing a network cluster into a plurality of grids, determining a call drop percentage of at least one first grid of the plurality of grids, determining whether the call drop percentage of the at least one first grid is greater than a predetermined call drop percentage threshold, and generating at least one call drop polygon including at least a portion of the at least one first grid based on determining that the call drop percentage of the at least one first grid is greater than the predetermined call drop percentage threshold.