Map-Aided TRP Selection for Accurate RF Positioning
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Solution Overview
Problem
Existing wireless communication systems, particularly 5G NR, face challenges in accurately determining the position of a target entity due to obstacles that block the line of sight between transmission-reception points (TRPs) and the target, leading to inefficient use of compute resources and reduced positioning accuracy.
Innovation Solution
A coordinator node utilizes map information to select and configure TRPs or anchor nodes for positioning or RF sensing sessions, disabling transmission or reception from nodes without a direct line of sight and enabling it for those with a clear view, thereby optimizing resource usage and enhancing positioning accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all TRPs are configured for positioning sessions regardless of line of sight, then positioning coverage is maintained, but compute resources are wasted and positioning accuracy decreases
Solution Approach 1:
The system performs preliminary actions by obtaining map information before configuring TRPs for positioning sessions. The map data is used in advance to determine which TRPs have line of sight to the target, allowing the system to pre-select only those TRPs that will be effective, thereby avoiding wasted compute resources and improving positioning accuracy from the outset
Solution Approach 2:
The system applies local quality by treating different TRPs differently based on their individual line-of-sight conditions. Instead of uniformly configuring all TRPs, the map information enables selective configuration where each TRP's participation is determined by its specific geometric relationship to the target, optimizing both resource usage and measurement precision
2Productivity
If map information is obtained and processed to select TRPs, then positioning accuracy and resource efficiency improve, but system complexity increases
Solution Approach 1:
Map information is obtained in advance before positioning sessions are configured. This preliminary acquisition of spatial data allows the system to perform TRP selection based on preprocessed map data rather than real-time calculations, reducing the computational burden during actual positioning operations and improving overall productivity
Solution Approach 2:
The map information serves as an intermediary that mediates between the complex task of real-time TRP selection and the positioning configuration process. By using preobtained map data as an intermediate reference, the system simplifies the decision-making process for TRP selection without requiring complex real-time analysis, thus improving efficiency while managing system complexity
Data Source
AI summary
In an aspect, a first network node may obtain first map information associated with at least one of a positioning session or an RF sensing session. The first network node may select, based on the map information, at least one of a first set of TRPs or at least one second network node for at least one of the positioning session or the RF sensing session. The first network node may configure at least one of the first set of TRPs or the at least one second network node for at least one of the positioning session or the RF sensing session.