User Device Movement State Assignment via Communication Parameter Scoring
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Solution Overview
Problem
Existing user device location estimation methods using cell tower triangulation are inaccurate, leading to difficulties in determining whether a user device is stationary or moving, which affects the reliability of point of interest (POI) visit counting and resource utilization.
Innovation Solution
A location management device assigns movement states to communication events using a scoring system based on communication parameters like base station identifiers, signal strength, and signal quality, with preprocessing operations to filter out unreliable data and optimize rule parameters for improved accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If cell tower triangulation is used for user device location estimation, then location tracking is enabled, but measurement precision deteriorates due to inaccurate location estimates
Solution Approach 1:
The patent introduces an intermediary scoring system that evaluates multiple communication parameters (signal strength, signal quality, base station identifiers) to determine movement states. This intermediary mechanism bridges the gap between imprecise location estimates and reliable movement determination by not relying solely on location accuracy but rather on the consistency and quality of communication signals across multiple parameters.
Solution Approach 2:
The patent changes from relying on a single location parameter to evaluating multiple communication parameters (signal strength, signal quality, base station identifiers). By transforming the approach from location-based determination to parameter-based scoring, the system achieves reliable movement state determination even when individual parameters are imprecise.
2Measurement precision
If preprocessing operations are applied to filter unreliable data, then measurement precision improves, but device complexity increases due to additional processing steps
Solution Approach 1:
The patent applies preprocessing operations in advance to filter out unreliable communication events before they enter the main scoring and analysis pipeline. By performing data filtering and validation beforehand, the system ensures that only high-quality data proceeds to subsequent processing stages, improving overall measurement precision while keeping the main processing logic relatively simple.
3Measurement precision
If a scoring system with multiple rules is implemented, then measurement precision improves for movement state determination, but device complexity increases due to multiple rule parameters
Solution Approach 1:
The patent segments the movement determination process into distinct scoring rules, each evaluating specific communication parameters (signal strength changes, signal quality changes, base station identifier changes). By dividing the complex determination task into manageable rule segments, the system achieves high measurement precision through comprehensive evaluation while maintaining organized and modular processing logic.
Data Source
AI summary
In some implementations, a device may obtain a set of one or more communication events associated with a user device, where the set of one or more communication events indicates respective values of one or more communication parameters. The device may determine, for each communication event, whether one or more rules are applicable to that communication event based on a comparison of values of the one or more communication parameters of that communication event and values of the one or more communication parameters of a previous communication event to that communication event in time. The device may assign, for each communication event, a movement state for that communication event based on whether a score for that communication event satisfies a threshold, where the score is a summation of one or more weights of respective rules applicable to that communication event.