WTRU Positioning Accuracy Using Estimated RSTD Measurements
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Solution Overview
Problem
Wireless transmit/receive units (WTRUs) with reduced capabilities face challenges in obtaining accurate positioning measurements due to limited capabilities, such as reduced bandwidth and number of antenna elements, leading to unreliable measurements and errors in reference signal time difference (RSTD) calculations.
Innovation Solution
The WTRU enhances measurement quality by determining estimated RSTD based on actual and inferred measurements, using artificial intelligence/machine learning models and requesting PRS configuration changes to improve accuracy, and reporting quality metrics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If WTRU uses reduced capabilities (reduced bandwidth, reduced number of antenna elements), then device complexity is reduced, but measurement precision deteriorates
Solution Approach 1:
The patent introduces an intermediary estimation function that maps observable measurements (RSRP, AoA) to unobservable measurements (RSTD). This mediator enables WTRUs with reduced capabilities to obtain accurate positioning measurements by inferring unobservable RSTD values from observable quantities, effectively bridging the capability gap without requiring full measurement capabilities
Solution Approach 2:
The patent creates a virtual copy of the unobservable measurement (RSTD) by estimating it from observable measurements. The estimation function generates a virtual RSTD value that replicates the information content of the actual RSTD measurement, allowing WTRUs with reduced capabilities to achieve positioning accuracy equivalent to full-capability devices
2Ease of operation
If WTRU performs measurements with reduced capabilities, then ease of operation is improved, but reliability deteriorates
Solution Approach 1:
The patent implements feedback mechanisms where the WTRU reports measurement quality metrics (such as RSRP values, signal strength, error indicators) to the network. The network uses this feedback to assess measurement reliability and dynamically adjust positioning strategies, configuration parameters, or select alternative reference signals to compensate for reduced measurement reliability
Solution Approach 2:
The patent prepares compensation mechanisms in advance by establishing estimation functions and quality metric reporting frameworks before measurements are taken. When measurement reliability is compromised due to reduced capabilities, pre-configured estimation models and quality assessment procedures are activated to cushion the impact on positioning accuracy
3Quantity of substance
If WTRU obtains unobservable measurements, then measurement completeness is improved, but difficulty of detecting and measuring increases
Solution Approach 1:
The patent replaces the mechanical measurement process (direct RSTD measurement requiring specific hardware capabilities) with a computational estimation process. Instead of physically measuring RSTD through dedicated timing circuits and signal processing hardware, the system uses mathematical estimation functions that compute RSTD from observable measurements, substituting physical measurement mechanisms with information processing
Data Source
AI summary
Systems, methods, and/or apparatuses are provided herein for positioning devices in a network using estimated measurements. A wireless transmit/receive unit (WTRU) may determine positioning accuracy based on one or more actual and/or inferred measurements. The WTRU or a network entity may train and/or implement one or more artificial intelligence (AI) and/or machine learning (ML) models to determine the positioning accuracy.