Collaborative UE Positioning With Shared Uncertainty Metadata
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Solution Overview
Problem
Current techniques fail to efficiently exchange rich location information between devices in a group to accurately estimate the location of UEs while accounting for uncertainty in location measurements, and lack procedures for distributing responsibilities of detecting and sharing location data.
Innovation Solution
UEs form groups to communicate and share location information and metadata, combining location estimates to reduce uncertainty and distribute processing and sensing tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If each UE independently determines its location using GNSS and other sensing modalities, then location estimation accuracy is improved, but power consumption increases
Solution Approach 1:
The patent merges location determination functions by having UEs form groups and share location information and metadata. Instead of each UE independently performing GNSS and sensing operations, the system combines location estimates from multiple UEs to reduce uncertainty, thereby maintaining accuracy while reducing individual power consumption.
Solution Approach 2:
The system enables UEs to serve each other's location determination needs through collaborative sharing. When a UE has accurate location information, it shares this with group members who may not have GNSS capabilities or whose batteries are low, allowing those UEs to maintain location awareness without consuming additional power.
2Use of energy by moving object
If UEs form groups to share location information, then power consumption is reduced, but device complexity increases
Solution Approach 1:
The patent segments location information into structured components including location estimates, uncertainty metrics, and metadata about the sensing modalities used. This segmentation allows for efficient processing and sharing of only the necessary information components, managing system complexity while enabling collaborative power-saving operation.
Solution Approach 2:
The system dynamically adjusts the level of detail and frequency of location information sharing based on group needs and available resources. By changing parameters such as update rates and information granularity, the system manages complexity adaptively rather than requiring fixed complex infrastructure.
3Measurement precision
If location information is shared between UEs, then location estimation accuracy is improved, but loss of information increases due to uncertainty in location measurements
Solution Approach 1:
The patent implements feedback mechanisms where UEs share not only their location estimates but also metadata about the uncertainty and quality of those estimates. This feedback allows receiving UEs to weight and combine location information appropriately, compensating for uncertainty and reducing effective information loss through intelligent fusion of multiple sources.
Solution Approach 2:
The system creates composite location information by combining multiple location estimates from different UEs with different uncertainty characteristics. This composite approach leverages the strengths of individual measurements while mitigating their weaknesses, effectively reducing the impact of information loss from any single uncertain measurement.
Data Source
AI summary
Techniques are provided for collaboratively determining a location estimate for a UE. A UE can determine that it is moving with one or more other wireless device. The UE can determine a location estimate based upon location information and location metadata. The UE can determine an uncertainty of the location estimate based upon values of the location information and the location metadata. These and many other features and examples are described.