Geospatial Telecommunications Network Coverage Balancing Using Cell Boundaries
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Solution Overview
Problem
Next-generation telecommunications networks face challenges in achieving adequate coverage due to defects in antenna equipment, faulty transmitters/receivers, and malfunctioning power sources, while conventional network testing methods are time- and resource-intensive, especially for large geographical areas.
Innovation Solution
The implementation of methods and systems for geospatial telecommunications network coverage balancing using network cell boundaries, which involves obtaining network data from user devices, using unsupervised AI to group data into clusters, generating geospatial polygons, and determining imbalances in network coverage to adjust cell site configurations accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional drive testing methods are used to test network coverage, then measurement precision can be achieved, but loss of time and resource consumption increase significantly
Solution Approach 1:
The patent uses crowdsourced data from user devices to create a virtual copy of network coverage conditions, eliminating the need for physical drive testing. User devices continuously report network data including signal strength, location, and cell information, which is then aggregated to reconstruct coverage maps without requiring dedicated testing vehicles or personnel.
Solution Approach 2:
The patent replaces the mechanical drive testing system with an automated electronic data collection system. Instead of physically moving testing equipment across geographical areas, the system uses electronic signals from distributed user devices to gather network coverage data, processing it through automated algorithms to generate coverage assessments.
2Measurement precision
If conventional drive testing methods are used to test network coverage, then measurement precision can be achieved, but resource consumption increases significantly
Solution Approach 1:
The patent creates a virtual representation of network coverage using data copied from user devices. This virtual model allows comprehensive coverage analysis without deploying physical testing resources across the entire network area, significantly reducing fuel, vehicle, and personnel requirements while maintaining measurement accuracy.
Solution Approach 2:
The system leverages user devices that already exist in the network to perform testing functions. These devices automatically collect and report network data as part of normal operation, eliminating the need for dedicated testing equipment and personnel. The network essentially tests itself through the devices already connected to it.
3Measurement precision
If network data is collected and processed using traditional methods, then coverage analysis can be performed, but computation time becomes prohibitive for large geographical areas
Solution Approach 1:
The patent divides the large geographical area into smaller processing units based on cell boundaries and clusters of user devices. This segmentation allows parallel processing of data from different regions, reducing overall computation time. Each segment can be analyzed independently and then aggregated to form the complete coverage picture.
Solution Approach 2:
The system performs preliminary data filtering, aggregation, and validation as data is collected from user devices, rather than processing all raw data at once. This preliminary processing reduces the data volume requiring intensive computation and prepares organized datasets that can be quickly analyzed for coverage determination.
Data Source
AI summary
Data describing network coverage provided to multiple user equipments by a telecommunications network is obtained. The data is associated with geographical locations serviced by the telecommunications network. The data is grouped according to the geographical locations into multiple clusters. Using the multiple clusters, multiple geospatial polygons associated with cells of the telecommunications network are generated. Differences are determined in the network coverage between the cells using the geospatial polygons. Imbalances are determined in the telecommunications network based on the differences in the network coverage between the cells.