Navigation Model Enhancement via Selective Device Measurements
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Solution Overview
Problem
There is a need for further improvements in 5G NR technology to enhance the accuracy of navigation systems by enabling mobile applications to differentiate entities associated with UEs and improve user experience through better understanding of UE conditions.
Innovation Solution
A method and apparatus that obtain first information about a plurality of devices and select a subset for measurement based on specific features, allowing for more accurate positioning and navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If measurements are performed on all devices in the plurality, then the positioning accuracy is improved, but the processing time and computational complexity increase
Solution Approach 1:
The patent segments the plurality of devices into multiple subsets based on spatial distribution and feature characteristics. Instead of processing all devices uniformly, the system divides them into manageable groups where measurements are performed selectively on representative devices from each subset, thereby maintaining positioning accuracy while reducing overall processing time.
Solution Approach 2:
The patent applies partial action by performing measurements on a selected subset of devices rather than all devices. The subset selection is based on features that represent the characteristics of the entire plurality, allowing the system to achieve sufficient positioning accuracy with reduced measurement efforts and processing requirements.
2Loss of time
If measurements are performed on a subset of devices, then the processing time is reduced, but the positioning accuracy may deteriorate
Solution Approach 1:
The patent applies local quality by selecting devices for measurement based on their specific features and spatial locations. Different subsets are chosen based on local characteristics such as device distribution density, movement patterns, and environmental factors, ensuring that measurements are performed on devices that best represent local conditions and contribute most to positioning accuracy.
Solution Approach 2:
The patent dynamically adjusts the selection criteria and subset size based on changing parameters such as environmental conditions, device density, and positioning requirements. By modifying these parameters, the system optimizes the balance between processing time and positioning accuracy for different operational scenarios.
3Measurement precision
If device features are analyzed in detail, then the subset selection accuracy is improved, but the computational complexity increases
Solution Approach 1:
The patent performs preliminary analysis of device features before the actual positioning measurements. Device features such as location, movement patterns, and environmental characteristics are pre-processed and stored, allowing for rapid subset selection without requiring complex real-time computations during the positioning operation.
Data Source
AI summary
Aspects presented herein may improve the performance of mobile/computer applications. Aspects presented herein may enable mobile/computer applications to differentiate entities that are associated with UEs or entities running the navigations applications, thereby enabling the mobile/computer applications (or their associated servers) to have a more accurate understanding of the conditions surrounding the UEs and their users. In one aspect, a network node obtains first information including at least one feature associated with a plurality of devices. The network node selects a first subset of the plurality of devices for a measurement based on the at least one feature associated with the plurality of devices (or the network node may exclude a second subset of the plurality of devices from the measurement).