Position Estimation via Wireless Node Area Identifier Segmentation
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Solution Overview
Problem
Current wireless communication systems face challenges in accurately estimating the position of user equipment (UE) due to limitations in identifying the most suitable wireless nodes for positioning, especially in environments with multiple area identifiers.
Innovation Solution
The method involves receiving assistance data that includes indications of candidate groups of wireless nodes associated with different area identifiers, establishing connections with these nodes, selecting the appropriate area identifiers based on selection parameters, and performing position estimation using reference signals from the selected nodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the UE uses all candidate groups of wireless nodes for positioning, then the positioning coverage is improved, but the positioning accuracy deteriorates due to inability to select the most suitable nodes
Solution Approach 1:
The patent segments the candidate groups of wireless nodes by area identifiers, allowing the UE to divide and conquer the positioning task by selecting from organized groups rather than processing all nodes uniformly. This segmentation enables targeted selection of the most suitable nodes for accurate positioning while maintaining comprehensive coverage through multiple area ID groups.
Solution Approach 2:
The patent applies local quality by associating different area identifiers with different candidate groups of wireless nodes, allowing the system to optimize positioning quality for specific local areas. The UE can select nodes based on local conditions (area ID) rather than using a uniform approach, thereby improving positioning accuracy in each specific location.
2Reliability
If the UE establishes connections with multiple wireless nodes for positioning, then the reliability of positioning is improved, but the device complexity increases
Solution Approach 1:
The patent segments wireless nodes into different candidate groups based on area identifiers, which simplifies connection management by organizing nodes into manageable groups. The UE can selectively connect to nodes within specific area ID groups rather than managing all possible nodes, reducing complexity while maintaining reliability through diverse node selection.
Solution Approach 2:
The patent uses area identifiers as parameters to change the selection criteria for wireless nodes. By varying the area ID parameter, the system can dynamically adjust which candidate groups the UE should connect to, simplifying connection management through parameter-based selection while maintaining reliable positioning through multiple connection options.
3Adaptability or versatility
If the system provides assistance data for all candidate groups, then the adaptability to different environments is improved, but the information loss increases due to inability to filter relevant data
Solution Approach 1:
The patent segments assistance data by area identifiers, organizing candidate groups of wireless nodes into distinct categories. This segmentation allows the network to provide comprehensive assistance data for multiple environments while the UE can filter and select only the relevant data for its current area, preventing information loss by maintaining organized access to all data types.
Solution Approach 2:
The patent applies preliminary action by pre-organizing assistance data into area identifier-based candidate groups before transmission to the UE. This preliminary organization enables the UE to efficiently filter and select relevant information based on its current area, reducing information loss while maintaining adaptability across different environments through pre-categorized data structures.
Data Source
AI summary
Disclosed are techniques for wireless communication. In an aspect, position estimation of a user equipment (UE) is performed via a wireless node (e.g., gNB or TRP or RU, UE in case of sidelink, etc.) associated with multiple area identifiers.