Wireless Base Station Location Accuracy Analysis

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Solution Overview

Problem

Accurate location information of wireless base stations is difficult to obtain due to limited access, especially for entities outside the mobile service provider's network, leading to incomplete and inaccurate data.

Innovation Solution

A system and method for analyzing the accuracy of estimated wireless base station location information using data from mobile devices, which assigns confidence scores based on heuristics and adjusts estimates through a weight function, enabling more precise location and coverage area determination without direct access to actual base station data.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If location data is collected from mobile devices, then geographic information availability is improved, but data accuracy deteriorates due to noisy and incomplete measurements

Engineering Contradiction:
Improvegeographic information availabilityVSAvoidlocation accuracy
Core Design Contradiction:
Loss of informationVSMeasurement precision

Solution Approach 1:

The system performs accuracy analysis on estimated base station locations and uses the results to adjust and refine location estimates. By continuously feedback the accuracy metrics to the estimation process, the system improves measurement precision while maintaining high information availability from diverse mobile device data sources.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system changes the parameters of location estimation by introducing accuracy analysis results as additional factors. The estimation process transitions from using only raw mobile device data to using weighted combinations of data and accuracy metrics, thereby improving precision without sacrificing information availability.

Inventive Principle:
Principle #35Parameter changes

2Productivity

If estimated location data is used without accuracy analysis, then processing speed is improved, but location precision deteriorates

Engineering Contradiction:
Improveprocessing speedVSAvoidlocation precision
Core Design Contradiction:
ProductivityVSManufacturing precision

Solution Approach 1:

The system performs accuracy analysis as a preliminary step before final location determination. By pre-analyzing the accuracy of estimated locations and using this information to weight and select data sources, the system achieves high precision without significant processing delays, as the accuracy analysis is conducted in parallel with data collection.

Inventive Principle:
Principle #10Preliminary action

3Reliability

If access to actual base station location data is restricted, then data security and provider control are improved, but location estimation accuracy deteriorates

Engineering Contradiction:
Improvedata securityVSAvoidlocation estimation accuracy
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The system introduces accuracy analysis as an intermediary layer between mobile device data and final location estimates. This intermediary process evaluates and weights the reliability of estimated locations without requiring direct access to actual base station data, thereby maintaining security while improving estimation accuracy through statistical analysis of available data.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS8219112B1Accuracy analysis of wireless base station location
Publication Date: 2012.07.10 GOOGLE LLC
  • US8219112B1 patent drawing
  • US8219112B1 patent drawing
  • US8219112B1 patent drawing

AI summary

A method and system for accuracy analysis of wireless base station location is provided. In one embodiment, data from a set of mobile devices using a wireless base station is collected. A location of a wireless base station is estimated based on locations of the mobile devices (i.e. points) in the collected set. To provide a more accurate location estimation for the wireless base station, the estimated location is analyzed for accuracy based on the collected data. A confidence score is calculated using a weight function with weights for the collected data based on factors, such as, collection size, platform types of the mobile devices, quality, temporal diversity and/or spatial diversity of points corresponding to the mobile devices, etc. An estimated location of the wireless base station may be adjusted based on the calculated confidence score. An estimated coverage region of the wireless base station may be also estimated and adjusted.