Mobile Location Verification Using Radio-Frequency Fingerprints
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Solution Overview
Problem
Existing location verification methods for user equipment in wireless communication systems, particularly in 5G networks, lack accuracy and trustworthiness, necessitating improved techniques to verify the reliability of location assertions.
Innovation Solution
Correlate signal indications from multiple user equipment devices to determine a trustworthiness score of location assertions by comparing environmental fingerprints, allowing for accurate verification of location assertions before taking actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing location verification methods are used, then the process is simple, but the accuracy and trustworthiness of location verification is insufficient
Solution Approach 1:
The patent combines location assertion data from multiple user equipment devices with environmental fingerprint data from the same geographic location. By merging these independent data sources and analyzing their correlation, the system achieves more accurate and trustworthy location verification than any single method could provide alone, while maintaining reasonable system complexity through efficient data processing.
2Reliability
If location assertions are verified using environmental fingerprints, then the trustworthiness improves, but the time and computational resources increase
Solution Approach 1:
The patent pre-collects and stores environmental fingerprint data at various geographic locations before verification is needed. When a location assertion needs verification, the system simply compares the assertion against pre-existing fingerprint data rather than collecting environmental data in real-time, significantly reducing verification time while maintaining high reliability.
3Measurement precision
If multiple user equipment devices are used for location verification, then the accuracy increases, but the system complexity and data processing requirements increase
Solution Approach 1:
The patent extracts and compares specific key features from environmental fingerprint data (such as dominant base station identifiers, signal strength patterns, and environmental characteristics) rather than processing all raw data. This extraction of essential verification features reduces data processing complexity while maintaining the accuracy benefits of using multiple user equipment devices.
Data Source
AI summary
An example mobile device location assertion verification method includes: obtaining, at an apparatus, an assertion of a first mobile device being at a first location at a first time; obtaining, at the apparatus, first indications of a radio frequency environment corresponding to the first mobile device, the first location, and the first time; obtaining, at the apparatus, second indications of a second radio frequency environment corresponding to a second mobile device, a second location, and a second time; correlating, at the apparatus, the first indications and the second indications; and performing an action at the apparatus in response to the correlating.