Motion-State Reporting for Constrained UE Positioning Accuracy
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Solution Overview
Problem
Existing wireless communication systems face challenges in achieving high positioning accuracy for UEs associated with moveable objects, particularly in scenarios where the movement is constrained, such as factory automation, due to uncertainties in relative motion between multiple UEs attached to a common object.
Innovation Solution
Enhanced reporting of positioning-related states by transmitting motion state information indicating constraints on the location of UEs relative to moveable objects, allowing a positioning entity to refine location estimates using relative motion constraints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional positioning methods are used for UEs attached to moveable objects, then the system is simple to implement, but positioning accuracy deteriorates due to uncertainties in relative motion between multiple UEs
Solution Approach 1:
The system implements feedback by having UEs report their motion state information (constraints on location relative to moveable objects) back to the positioning entity. This feedback loop allows the positioning entity to continuously refine location estimates based on actual motion constraints, improving accuracy without requiring complete system redesign.
Solution Approach 2:
The system performs preliminary action by collecting and processing motion state information before final location determination. The positioning entity receives and processes constraints on UE locations relative to moveable objects in advance, allowing for more accurate location estimation that accounts for the physical constraints of the deployment scenario.
2Measurement precision
If motion state information is collected and processed by the positioning entity, then positioning accuracy improves, but information processing complexity increases
Solution Approach 1:
The system extracts only the necessary motion state information from the UEs - specifically constraints on location relative to moveable objects. By taking out only the relevant positioning constraints rather than processing all possible UE data, the system reduces information processing load while maintaining positioning accuracy.
Solution Approach 2:
The positioning entity applies different processing quality to different aspects of the data. It processes motion state information (constraints on location) with high accuracy for positioning, while not necessarily processing all other UE data at full resolution. This local quality approach optimizes processing resources for the critical positioning function.
Data Source
AI summary
Disclosed are techniques for wireless communication. In an aspect, a positioning entity receives motion state information associated with a user equipment (UE), the motion state information indicating constraints on a location of the UE relative to a moveable object with which the UE is associated, and estimates the location of the UE based on at least the motion state information.