Reference UE Location Iteration for Differential RTT Positioning
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Solution Overview
Problem
Current wireless communication systems face challenges in accurately determining the location of user equipment (UE) due to hardware group delays and the need for precise timing measurements, which affect the accuracy of positioning estimates.
Innovation Solution
A method involving the use of differential round trip time (RTT) measurements between multiple wireless nodes and a reference UE, with iterative refinement of the reference UE's location and transitioning to alternative reference UEs based on measurement quality and accuracy thresholds, to improve positioning estimates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If differential RTT measurements are used to determine UE location, then positioning accuracy is improved, but hardware group delays and timing measurement precision requirements increase system complexity
Solution Approach 1:
The patent introduces a reference UE as an intermediary device to facilitate differential RTT measurements. The reference UE acts as a mediator between the target UE and wireless nodes, enabling indirect timing measurements that reduce the direct timing precision requirements between target UE and each wireless node, thereby improving positioning accuracy while managing system complexity
Solution Approach 2:
The system performs preliminary location estimation using available measurements before final positioning calculation. This preliminary action allows the system to identify suitable reference UEs and prepare measurement data in advance, reducing the computational complexity during the actual positioning process while maintaining high accuracy
2Measurement precision
If reference UE location is obtained iteratively to improve positioning accuracy, then measurement precision increases, but time consumption and measurement updates increase
Solution Approach 1:
The system implements periodic updates of reference UE location information at predetermined intervals rather than continuous iterative updates. This periodic action maintains positioning accuracy by refreshing measurements at appropriate intervals while significantly reducing the time consumption and signaling overhead associated with continuous iterative updates
Solution Approach 2:
The system performs a limited number of iterative refinements rather than exhaustive iterations. By applying partial action (sufficient but not excessive iterations), the system achieves acceptable positioning accuracy while minimizing time consumption and avoiding diminishing returns from excessive computational effort
3Adaptability or versatility
If the system transitions to alternative reference UEs based on measurement quality, then adaptability improves, but device complexity and measurement management increase
Solution Approach 1:
The system implements feedback mechanisms where measurement quality metrics are continuously monitored and used to determine when to transition between reference UEs. This feedback-driven approach enables automatic adaptation to changing measurement conditions while maintaining manageable complexity through rule-based transition criteria rather than complex optimization algorithms
Data Source
AI summary
In an aspect, a location of a reference UE is obtained (e.g., iteratively). A first differential RTT measurement is determined based on RTTs between a target UE and each of first and second wireless nodes, and a second differential RTT measurement is determined based on RTTs between a reference UE and each of the first and second wireless nodes. A positioning estimate of the target UE is determined based on the first and second differential RTT measurements and the obtained reference UE location (e.g., a most recent of the iteratively obtained reference UE locations). In another aspect, a primary reference UE among a plurality of reference UEs is selected, and its location is obtained (e.g., iteratively). A location of other reference UE(s) is determined based at least in part upon the obtained primary reference UE location (e.g., a most recent of the iteratively obtained primary reference UE locations).