Windowed PRS Measurements for Accurate UE Positioning
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Solution Overview
Problem
Existing wireless communication systems, particularly in the context of 5G, face challenges in efficiently managing the reporting granularity and measurement periods for positioning reference signals (PRS), which affect the accuracy and efficiency of wireless positioning processes.
Innovation Solution
The proposed solution involves configuring user equipment (UE) to receive PRS resources with specific periodicity and occasion lengths, and to perform measurements within defined measurement periods based on processing windows and measurement gaps, allowing for flexible reporting granularity that aligns with network recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the UE measures all PRS resources with fine granularity, then positioning accuracy is improved, but measurement complexity and processing time increase
Solution Approach 1:
The patent segments the measurement process by dividing PRS resources into different groups or sets, allowing the UE to perform measurements on selected subsets rather than all resources. This segmentation enables the UE to achieve sufficient positioning accuracy by measuring only critical PRS resources, thereby reducing measurement complexity and processing requirements while maintaining acceptable positioning performance.
Solution Approach 2:
The patent applies local quality by allowing different measurement granularities for different PRS resource groups based on their importance or characteristics. Critical PRS resources that provide essential positioning information are measured with fine granularity, while less critical resources use coarser measurement approaches. This differentiated measurement strategy optimizes the balance between positioning accuracy and measurement complexity.
2Measurement precision
If the measurement period is extended to capture more PRS occasions, then positioning accuracy is improved, but latency and processing time increase
Solution Approach 1:
The patent employs preliminary action by pre-configuring the UE with measurement configurations, including measurement periods and PRS resource indications, before the actual positioning measurement needs to occur. The network entity provides assistance data in advance that identifies which PRS resources are most valuable for positioning, allowing the UE to prepare measurement parameters and select optimal measurement windows beforehand. This reduces the actual measurement latency when positioning is needed while still capturing sufficient PRS occasions for accurate positioning.
Solution Approach 2:
The patent utilizes periodic action by configuring periodic measurement opportunities at optimized intervals. Instead of continuous measurement or overly frequent periodic measurements, the system establishes measurement periods that align with PRS transmission patterns and UE processing capabilities. This periodic measurement approach ensures sufficient data collection for accurate positioning while minimizing unnecessary measurement cycles that would increase latency and power consumption.
3Measurement precision
If the UE reports positioning measurements at high granularity, then positioning accuracy is improved, but signaling overhead and network processing increase
Solution Approach 1:
The patent extracts only the essential positioning measurement information for reporting, rather than transmitting all raw measurement data. The UE identifies and reports key measurement results such as time of arrival estimates or range measurements that are most critical for positioning accuracy. The network entity receives this extracted essential information and uses it to compute positioning, thereby achieving accurate positioning while significantly reducing signaling overhead compared to reporting all detailed measurement data.
Solution Approach 2:
The patent applies partial action by having the UE report positioning measurements at optimized granularity levels that provide sufficient accuracy without excessive detail. Instead of reporting every measurement instance or all measurement parameters, the system determines appropriate reporting intervals and selects the most relevant measurement parameters to report. This partial reporting strategy maintains positioning accuracy while reducing the quantity of signaling data transmitted and processed.
Data Source
AI summary
Disclosed are techniques for wireless positioning. In an aspect, a user equipment (UE) receives, from a network entity, a configuration of one or more positioning reference signal (PRS) resources to measure during a positioning session, the one or more PRS resources having a PRS periodicity TPRS and a PRS occasion length LPRS, and measures the one or more PRS resources during a measurement period, wherein the measurement period is based on a number of measurement instances of the one or more PRS resources the UE is expected to process multiplied by a periodicity parameter, wherein the periodicity parameter is based on a PRS processing window of âTâ milliseconds, the PRS periodicity TPRS, and a measurement gap periodicity of at least one measurement gap.