Prioritizing Positioning Reference Signals for Location Accuracy
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently prioritizing and reporting positioning reference signals (PRS) within a specific time window, which affects the accuracy and latency of location estimates for user equipment (UE) in future location requests.
Innovation Solution
The method involves obtaining PRS configuration information and preferred measurement reporting window information to determine priority values for PRS, prioritizing measurements based on time and distance relative to the reporting window, and reporting these values accordingly, allowing for improved accuracy and reduced latency in location services.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If positioning reference signals are measured and reported without prioritization, then all signals are processed equally, but measurement accuracy and location estimate precision deteriorate due to inclusion of outdated or less relevant measurements
Solution Approach 1:
The system performs preliminary prioritization of positioning reference signals before measurement and reporting. The location server determines priority values for multiple PRS based on configuration information and preferred measurement reporting window information, then the UE measures and reports only the highest priority signals. This advance prioritization ensures that only relevant, timely measurements are included in location estimates, improving accuracy without requiring complex real-time processing during measurement.
2Reliability
If all positioning reference signals are measured and reported, then comprehensive location data is obtained, but reporting latency increases due to processing time for multiple signals
Solution Approach 1:
The system extracts and processes only the most critical positioning reference signals for location estimation. The location server identifies and prioritizes a subset of PRS from the complete set of available signals, then the UE measures and reports only these prioritized signals. This extraction approach maintains location service reliability by focusing on the most relevant signals while significantly reducing processing time and reporting latency compared to measuring all available PRS.
3Adaptability or versatility
If positioning measurements are performed without time window consideration, then all available signals are used, but location estimate relevance deteriorates for future location requests
Solution Approach 1:
The system performs preliminary identification of a preferred measurement reporting window based on future location request timing. The location server determines this window in advance and uses it to prioritize PRS that fall within it, ensuring temporal relevance for future location estimates. This approach maintains service flexibility by adapting to different timing requirements while preventing inclusion of outdated measurements that would reduce temporal relevance.
Data Source
AI summary
Techniques are discussed herein for prioritizing and reporting reference signal measurements relative to a time window. An example method for measuring positioning reference signals includes obtaining positioning reference signal configuration information, obtaining preferred measurement reporting window information, determining priority values for a plurality of positioning reference signals, wherein each priority value for a respective positioning reference signal is based at least in part on the positioning reference signal configuration information and the preferred measurement reporting window information, and reporting measurement values for one or more of the plurality of positioning reference signals based on the priority value.


