Automated Cell Site Validation for E911 Location Accuracy

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Solution Overview

Problem

Inaccurate location details of cell sites in GMLC network nodes and wireless carrier databases lead to errors in E911 location-based services, hindering the correct routing of emergency calls to the nearest Public-Safety Answering Point.

Innovation Solution

An AI/ML solution utilizing image recognition applied to satellite images to validate latitude/longitude location data, automating the process of verifying cell site locations and correcting errors in GMLC configurations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual validation of cell site location data is performed, then location accuracy can be verified, but the process is time-consuming and labor-intensive

Engineering Contradiction:
Improvelocation accuracyVSAvoidvalidation time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces manual mechanical validation processes with an automated computer-based system that uses satellite imagery analysis and machine learning algorithms to validate cell site location data, thereby eliminating time-consuming human intervention while maintaining high accuracy

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The system enables self-service validation by automatically comparing claimed cell site locations with satellite imagery and geographical data, allowing the system to validate its own data without requiring external manual verification

Inventive Principle:
Principle #25Self-service

2Productivity

If automated validation using satellite imagery is implemented, then validation speed increases, but system complexity increases

Engineering Contradiction:
Improvevalidation speedVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent implements a multi-functional automated validation system that can process multiple types of data (satellite imagery, geographical coordinates, cell site databases) and perform various validation tasks through a single integrated platform, reducing overall system complexity despite increased capabilities

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system introduces an intermediary automated validation layer between the cell site databases and the E911 routing system, which simplifies the overall architecture by centralizing validation logic and preventing error propagation to downstream systems

Inventive Principle:
Principle #24Intermediary (Mediator)

3Reliability

If location data accuracy is improved, then E911 call routing accuracy improves, but the effort to maintain and update location databases increases

Engineering Contradiction:
Improvecall routing accuracyVSAvoiddatabase maintenance effort
Core Design Contradiction:
ReliabilityVSEase of manufacture

Solution Approach 1:

The patent implements a feedback mechanism where the automated validation system continuously monitors and identifies discrepancies in location data, providing feedback to automatically trigger updates and corrections in the databases, thereby maintaining high routing accuracy without increasing manual maintenance effort

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system performs preliminary validation of location data during the provisioning process before data is entered into operational databases, preventing inaccurate data from being stored and eliminating the need for later corrective maintenance

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS12389212B2Automation to reduce location error rate in E911 location-based services
Publication Date: 2025.08.12 AT&T INTELLECTUAL PROPERTY I L P
  • US12389212B2 patent drawing
  • US12389212B2 patent drawing
  • US12389212B2 patent drawing

AI summary

Aspects of the subject disclosure may include, for example, a device comprising: a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations, the operations comprising: obtaining a list of a plurality of known cell sites, the list comprising for each known cell site of the plurality of known cell sites a respective set of known geospatial coordinates; obtaining for each set of known geospatial coordinates, a corresponding aerial image; applying each corresponding aerial image to an automated process to generate a model, the model being usable to determine whether a particular test aerial image depicts a cell site; obtaining from a database an identification of an asserted cell site, the identification of the asserted cell site comprising a set of asserted geospatial coordinates; obtaining for the set of asserted geospatial coordinates, a test aerial image; applying the test aerial image to the model to determine whether the test aerial image depicts the asserted cell site, resulting in a determination; and outputting the determination of whether the test aerial image depicts the asserted cell site. Other embodiments are disclosed.