Network Coverage Segmentation for Precise Service Gap Mapping
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Solution Overview
Problem
Existing telecommunications networks suffer from service gaps with poor or no network coverage, leading to degraded performance and user dissatisfaction, necessitating improved methods for their identification and mitigation.
Innovation Solution
A method and system for identifying service gaps by dividing network coverage areas into data sets, determining poor coverage samples, and generating service gap polygons using unified coverage layers, site databases, clutter data, and geo-location information, with components like NiFi, Spark, HBase, and MySQL for data processing and visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional service gap identification methods are used, then the process is simple, but the identification precision and effectiveness are insufficient
Solution Approach 1:
The patent segments the network coverage area into multiple data sets or zones, allowing for granular analysis of coverage quality in each segment. This enables precise identification of service gaps by evaluating coverage samples within each segmented area, rather than treating the entire network area as a single unit.
Solution Approach 2:
The patent generates service gap polygons by transitioning from two-dimensional coverage data to three-dimensional spatial representation. This dimensional change enables more accurate visualization and identification of service gaps by creating geometric shapes that precisely delineate affected areas based on coverage sample analysis.
2Measurement precision
If comprehensive coverage data is analyzed, then the identification accuracy improves, but the processing time and computational resources increase
Solution Approach 1:
By dividing the network coverage area into multiple data sets, the patent enables parallel processing of coverage samples across different segments. This segmentation reduces the computational burden on any single processing unit and allows for more efficient analysis of comprehensive coverage data.
Solution Approach 2:
The patent applies threshold-based filtering to identify data sets with poor coverage samples, focusing computational resources only on areas that meet the service gap criteria. This partial action approach avoids unnecessary processing of areas with adequate coverage, reducing overall processing time while maintaining identification accuracy.
Data Source
AI summary
A system and a method for service gap identification is disclosed. The method comprises retrieving data on a network coverage area, dividing the network coverage area into a plurality of data sets, determining a first number of data sets of the plurality of data sets having a first number of poor coverage samples based on the retrieved data, and generating a service gap polygon based on the determined number of data sets having the first number of poor coverage samples.