Cell Location Component for Automated Network Positioning
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Solution Overview
Problem
Existing methods for determining and validating cell locations in communication networks are inefficient, inaccurate, and labor-intensive, particularly for new cell sites, leading to errors in E911 dispatch operations and suboptimal network planning.
Innovation Solution
A cell location component (CLC) that analyzes timing advance measurement data and location data from communication devices to estimate and validate cell locations using machine learning techniques, such as the smallTA and linear regression algorithms, to improve accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated cell location estimation is implemented, then productivity and accuracy are improved, but device complexity increases
Solution Approach 1:
A cell location component (CLC) is introduced as an intermediary system that automatically estimates cell locations using timing advance measurement data and location data from communication devices. This intermediary component handles the complex machine learning algorithms and data processing, isolating the complexity from the core network operations while improving overall productivity and accuracy of cell location determination.
2Measurement precision
If manual validation methods are used, then device complexity is low, but measurement precision and reliability deteriorate
Solution Approach 1:
The system implements self-service validation where the cell location component automatically validates estimated cell locations using timing advance measurement data and location data from communication devices. The system performs self-validation through machine learning algorithms without requiring manual intervention, thereby achieving high measurement precision while managing complexity through automation rather than manual processes.
3Productivity
If thousands of new cells are added annually, then network capacity increases, but loss of time and productivity in location management worsens
Solution Approach 1:
The cell location component performs preliminary automatic location estimation and validation for new cells before they are fully integrated into the network. By pre-estimating locations using timing advance data and location data from communication devices, and validating these estimates through machine learning algorithms, the system prepares location information in advance, reducing the time required for location management as the network expands with thousands of new cells annually.
Data Source
AI summary
Locations of cells of a communication network can be estimated, determined, and validated. Cell location component (CLC) can analyze timing advance (TA) measurement data and/or location data associated with devices associated with a base station associated with one or more cells. CLC can estimate a first location of the base station, based on the TA measurement data and/or location data, to facilitate estimating the location of an associated cell. CLC can validate the estimated cell location or recorded cell location of the cell (recorded in a cell location pool) based on analysis of estimated cell location, recorded cell location, TA measurement data, and/or location data, and, based on the validation, can tag the cell location determination as accurate, acceptable, bad, or uncertain. CLC can request additional monitoring of a cell location determination tagged as uncertain, or investigation of a cell location determination tagged as bad.