Position Reliability Indicators for Trusted Wireless Positioning
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Solution Overview
Problem
Existing wireless communications systems fail to indicate the reliability of position information, leading to reduced accuracy in position determination and inefficient use of resources.
Innovation Solution
Implement methods and apparatuses that generate and utilize position reliability information, including trust status indicators for position information, to determine the reliability of position data, allowing devices to disregard unreliable information and optimize resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If position information is transmitted without reliability indicators, then signaling overhead is reduced, but position determination accuracy deteriorates
Solution Approach 1:
The position information transmission is segmented into multiple components: position coordinates, reliability indicators (such as accuracy class, velocity class, time-to-live), and source identifiers. This segmentation allows receiving devices to selectively process and weight different position sources based on their reliability metrics, improving position determination accuracy without requiring transmission of excessive redundant information.
Solution Approach 2:
Reliability indicators are pre-calculated and attached to position information before transmission. The transmitting device assesses the quality of its position data (based on signal strength, measurement accuracy, mobility state) and embeds these reliability metrics in advance, enabling receiving devices to make immediate informed decisions about which position sources to trust and how to weight them in position fusion algorithms.
2Reliability
If all position information sources are processed equally, then resource usage is simplified, but position determination reliability deteriorates
Solution Approach 1:
Different position information sources are assigned different quality levels through reliability indicators such as accuracy class (e.g., 95% confidence, 99% confidence), velocity class, and horizontal/vertical accuracy metrics. Receiving devices can then apply local quality weighting, processing high-reliability sources more intensively while reducing processing of low-reliability sources, thereby improving overall position determination reliability while maintaining processing efficiency.
Solution Approach 2:
The system introduces multiple parameters to characterize position information quality: accuracy class, velocity class, time-to-live (TTL), and reliability values. These parameters dynamically change based on device state (mobility, signal conditions) and enable receiving devices to adjust processing intensity and weighting factors accordingly, optimizing the balance between position determination reliability and processing efficiency.
3Measurement precision
If position information from mobile devices is used without reliability indicators, then position coverage is improved, but position accuracy deteriorates
Solution Approach 1:
The system dynamically assesses and reports reliability indicators for position information based on current device state. Mobile devices transmit not only their position coordinates but also real-time reliability metrics including velocity class (indicating mobility level), accuracy class, and time-to-live values. This dynamic information allows receiving devices to adaptively weight mobile device position data, expanding position coverage to include mobile sources while maintaining accuracy through reliability-based filtering and weighting.
Data Source
AI summary
Various aspects of the present disclosure relate to methods, apparatuses, and systems that position reliability information for device position. For instance, position reliability information indicates an estimated trust status (e.g., reliability) of position information that a receiving device can utilize to determine how and/or whether to use to position information. In at least some implementations, a device (e.g., a user equipment (UE) and/or a network entity such as a gNB) can utilize position information that is indicated a reliable (e.g., trusted), whereas the device can disregard position information that is indicated as unreliable, e.g., untrusted.