Network-Based Geofencing With Uncertainty-Weighted Location Estimates

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Solution Overview

Problem

Existing geofencing technologies face challenges in accurately locating user devices across diverse geographic scenarios, particularly indoors, due to high costs, resource consumption, and battery depletion, while requiring additional hardware and software installations.

Innovation Solution

A location tracking system that utilizes network-based location technologies like CID, eCID, OTDOA, and multi-cell angle measurements to optimize geofencing by determining uncertainty thresholds, requesting multiple location estimates, and calculating weighted averages to improve accuracy with minimal resource consumption.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional location technologies (GPS, Wi-Fi, beaconing) are used for geofencing, then location accuracy is improved, but cost and device complexity increase

Engineering Contradiction:
Improvelocation accuracyVSAvoidhardware and software complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent replaces traditional mechanical/location-based technologies (GPS receivers, Wi-Fi hardware, beaconing infrastructure) with a network-based location estimation system. The network uses existing cellular infrastructure (base stations, signal towers) to estimate device locations through signal analysis, eliminating the need for dedicated location hardware in devices and reducing overall system complexity while maintaining acceptable accuracy for geofencing applications.

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

2Reliability

If multiple location technologies are deployed for diverse geographic scenarios, then location reliability is improved, but cost and deployment complexity increase

Engineering Contradiction:
Improvelocation reliabilityVSAvoiddeployment complexity
Core Design Contradiction:
ReliabilityVSEase of manufacture

Solution Approach 1:

The patent creates a universal network-based location estimation system that serves multiple geographic scenarios (indoor, outdoor, urban, rural) through a single unified approach. The network uses diverse existing infrastructure (cellular base stations, signal towers, wireless networks) that already cover various environments, eliminating the need for separate location systems for different scenarios and simplifying deployment while maintaining reliability across diverse settings.

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

3Measurement precision

If location technologies are continuously activated for geofencing, then geofencing accuracy is improved, but battery consumption increases

Engineering Contradiction:
Improvegeofencing accuracyVSAvoidbattery consumption
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The patent implements a self-service location estimation system where the network performs location calculations autonomously without requiring continuous activation of device-based location technologies. The network uses existing signal infrastructure and passive signal analysis to estimate locations, eliminating the need for devices to continuously power GPS receivers or other location hardware, thereby maintaining geofencing accuracy while dramatically reducing battery consumption.

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS20250314733A1Systems and methods for providing optimized network geofencing
Publication Date: 2025.10.09 VERIZON PATENT & LICENSING INC
  • US20250314733A1 patent drawing
  • US20250314733A1 patent drawing
  • US20250314733A1 patent drawing

AI summary

A device may receive multiple location estimates, with uncertainties, for the user device based on determining that the uncertainty is greater than or equal to the uncertainty threshold, and may store the location estimate, the multiple location estimates, and the uncertainties in a data structure. The device may identify a greatest uncertainty of the uncertainties, and may remove, from the data structure, location estimates and uncertainties associated with the greatest uncertainty to generate a set of location estimates and a set of uncertainties. The device may calculate a set of weights based on the set of uncertainties, and may calculate a set of weighted location estimates based on the set of weights and the set of location estimates. The device may calculate a weighted average location of the user device based on the set of weighted location estimates, and may provide the weighted average location to the user device.