UE Localization Beam Selection Using Position Quality Metrics
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The challenge in 5G NR networks is the large number of narrow, high-gain beams used for compensating high path loss in millimeter wave bands, which complicates the provision of assistance data for UE positioning due to the extensive list of possible beams, creating issues in network efficiency and accuracy.
Innovation Solution
Methods for UE positioning that involve receiving and determining optimal beam sets based on first and second positioning measurements, using signal-to-noise ratio (SNR) and reference signal time difference (RSTD) measurements, and adjusting beam lists based on line-of-sight and non-line-of-sight propagation conditions to enhance positioning accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a large number of narrow, high-gain beams are used to compensate for high path loss in millimeter wave bands, then coverage and signal quality are improved, but the complexity of providing assistance data for UE positioning increases and network efficiency deteriorates
Solution Approach 1:
The patent extracts only the necessary subset of beams from the complete beam list for positioning assistance data. Instead of providing all narrow beams, the system identifies and selects a reduced set of beams that are sufficient for accurate UE positioning, thereby reducing complexity while maintaining positioning accuracy.
Solution Approach 2:
The patent segments the complete beam list into multiple groups or categories based on spatial relationships and positioning requirements. This segmentation allows the system to provide assistance data in a structured, manageable way, reducing the overall complexity of beam management for positioning purposes.
2Area of stationary object
If a large number of narrow, high-gain beams are used to compensate for high path loss in millimeter wave bands, then coverage is improved, but network efficiency deteriorates due to extensive beam lists
Solution Approach 1:
The system extracts only the essential beams needed for positioning from the complete beam set, reducing the overhead and processing requirements while maintaining adequate coverage for positioning purposes. This selective extraction improves network efficiency by minimizing the extensive beam list problem.
3Measurement precision
If all possible beams are included in positioning assistance data, then positioning accuracy is improved, but the amount of assistance data and processing complexity increase
Solution Approach 1:
The patent applies extraction by identifying and selecting only the critical subset of beams that contribute most significantly to positioning accuracy. This selective approach reduces the volume of assistance data while preserving the essential information needed for accurate UE positioning.
Solution Approach 2:
The system applies local quality by providing different levels of beam information based on specific positioning requirements and UE locations. Instead of uniformly providing all beam data, the system tailors the assistance data to the local positioning needs, reducing overall data volume while maintaining accuracy where required.
Data Source
Figure 1
Figure 2A~2B
Figure 3~4
AI summary
Embodiments include methods, performed by a network node in a wireless network, for positioning a user equipment (UE) based on beams transmitted by the wireless network. Such methods include receiving, from the UE, first positioning measurements of first reference signals (RS) transmitted by the wireless network on a first plurality of beams. Such methods include, based on the first positioning measurements and transmission directions of the first plurality of beams, determining a second plurality of beams that differs from the first plurality of beams by at least one beam (e.g., subset, superset, partially overlapping, etc.). Various ways of obtaining the second plurality of beams are disclosed. Such methods also include obtaining second positioning measurements made by the UE on the second plurality of beams. Other embodiments include complementary methods performed by a UE, as well as network nodes and UEs configured to perform such methods.