Geolocation System Using Slope-Intercept Parameters
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Solution Overview
Problem
Current methods for determining user equipment location in radio access networks often provide inaccurate or outdated information, leading to inefficient targeting of location-dependent messages and network parameter tuning.
Innovation Solution
Implementing a system that uses pre-calculated slope-intercept information to perform fast and slow geolocation processes in near real-time, allowing for accurate and timely location determination of user equipment, with fast geolocation providing initial location data and slow geolocation refining accuracy using updated parameters.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional periodic location determination methods are used, then network devices can obtain location information for user equipment, but the location information becomes outdated and inaccurate between periodic updates
Solution Approach 1:
The system pre-calculates and stores slope-intercept information from location measurements before it is needed for fast geolocation. This preliminary computation of geolocation parameters enables rapid location determination when triggered by uplink signals, eliminating the need for periodic continuous measurement and providing timely location information without continuous processing overhead.
Solution Approach 2:
The system uses uplink signals that are already being transmitted by user equipment for their primary communication purpose to also serve as triggers for location determination. These existing signals 'self-service' the location function by providing both the communication data and the measurement opportunity, eliminating the need for separate dedicated location measurement signals.
2Loss of time
If fast geolocation using pre-calculated parameters is implemented, then near real-time location information can be provided, but the initial accuracy may be lower compared to comprehensive slow geolocation methods
Solution Approach 1:
The system implements a feedback mechanism where slow geolocation results are used to update and refine the pre-calculated slope-intercept information. This feedback loop continuously improves the accuracy of the fast geolocation parameters over time, allowing the system to maintain rapid response times while progressively enhancing location accuracy through learned corrections from more comprehensive measurements.
3Measurement precision
If comprehensive measurements are performed for accurate location determination, then location precision improves, but the processing time and system complexity increase
Solution Approach 1:
The geolocation process is segmented into two distinct phases: a slow geolocation phase that performs comprehensive measurements and parameter refinement, and a fast geolocation phase that uses pre-calculated parameters for rapid location determination. This segmentation allows the system to distribute processing complexity across different time scales, using simple fast processing for real-time needs and complex processing only when necessary for accuracy improvement.
Data Source
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AI summary
A device may obtain event information regarding a set of user equipment. The device may determine a first location for a particular user equipment, of the set of user equipment, based on the event information and a stored set of parameters. The device may provide information associated with identifying the first location. The device may determine a second location for the particular user equipment based on the information associated with identifying the first location and after determining the first location. The device may provide information associated with identifying the second location. The device may update the stored set of parameters as a set of updated parameters. The device may use the set of updated parameters to determine another location.