Adaptive Cell Identity Positioning Accuracy
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing positioning methods in cellular communications networks, such as cell-ID, suffer from low accuracy due to unreliable confidence values in determining cell area extensions, which limits their use in precise navigation applications.
Innovation Solution
The development of position determination assisting data that recalculates cell relation configurations based on high-precision measurements, clustering them by prevailing cell configurations, and defining areas with a specified confidence level, enhancing the accuracy of position determination and refining methods like A-GPS and UTDOA.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If cell identity positioning method is used, then response time is very low and availability is high, but positioning accuracy is limited by cell size
Solution Approach 1:
The patent segments the cell area into multiple smaller sub-areas or zones, each with its own position determination assisting data. This allows the system to maintain the simplicity of cell identity positioning while improving accuracy by narrowing down the possible location within smaller segments rather than the entire cell area.
Solution Approach 2:
The patent pre-calculates and stores position determination assisting data including area definitions and confidence values for different cell relation configurations before actual positioning is needed. This preliminary preparation enables fast positioning responses while using refined accuracy data without adding complexity to the real-time positioning process.
2Reliability
If pre-calculated cell polygon is used, then computation is simplified and bandwidth is reduced, but confidence value and accuracy are not reliable
Solution Approach 1:
The patent enhances the basic cell polygon data by adding multiple parameters including area definitions, confidence values, and cell relation configurations. These additional parameters transform the simple polygon into a more informative structure that provides reliable confidence values while maintaining computational efficiency through structured data organization.
Solution Approach 2:
The system automatically generates and updates position determination assisting data including area definitions and confidence values based on observed cell relation configurations. This self-service approach improves reliability without requiring manual intervention or complex external processing, as the system adapts and refines its own positioning data.
3Measurement precision
If RTT measurement is used, then positioning accuracy is improved, but system complexity and measurement requirements increase
Solution Approach 1:
The patent merges cell identity positioning with position determination assisting data that includes area definitions and confidence values. This combination integrates the simplicity of cell ID methods with enhanced accuracy information, achieving improved positioning precision without requiring separate complex measurement systems like RTT.
Solution Approach 2:
The patent pre-calculates position determination assisting data including refined area definitions and confidence values before positioning is needed. This preliminary preparation provides accuracy enhancements without requiring complex real-time measurements, as the accurate positioning information is prepared in advance based on cell relation configurations.
Data Source
AI summary
Position determination assisting data is provided for performing position determinations based on this assisting data. The position determination assisting data comprises area definitions, each of which being related at least to a respective cell relation configuration. The cell relation configuration is determined at least by cell-IDs of cells fulfilling a specific radio condition criterion when received. Preferably, the cell relation configuration is also dependent on relative radio conditions between different cells and/or transmission mode. The area definitions are in particular example embodiments polygons, which preferably are re-calculated successively, automatically and on-line. The recalculations are based on high-precision position measurements of opportunity, clustered at least with respect to prevailing cell relation configuration for that user equipment performing the high-precision position measurements. Preferably, the area definitions are calculated with a predefined confidence level.