Antenna-Level Positioning Signal Reporting for 5G AI/ML Training
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Solution Overview
Problem
Current wireless communication systems, particularly 5G NR, face challenges in enhancing positioning accuracy due to the lack of positioning signal measurements at different antenna levels, which are crucial for training advanced positioning models like AI/ML models.
Innovation Solution
The proposed solution involves a method where user equipment (UE), base stations, or transmission reception points (TRP) receive configuration messages to measure and report positioning signals from multiple antennas. These devices measure and transmit report messages indicating subsets of positioning signal measurements associated with specific antennas, allowing for antenna-level reporting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If positioning signal measurements are reported at a cell level (conventional approach), then the reporting overhead is reduced, but the positioning accuracy and ability to train AI/ML models deteriorates due to lack of antenna-specific information
Solution Approach 1:
The patent segments the positioning signal measurements by antenna, dividing the overall measurement report into multiple antenna-specific measurement reports. Each report contains measurements for a specific antenna identified by an antenna ID, allowing the system to preserve detailed antenna-level information while organizing the data in a manageable segmented structure that reduces overall reporting complexity.
Solution Approach 2:
The patent applies local quality by making the measurement report antenna-specific, where each measurement is associated with a particular antenna's characteristics. This allows different parts of the reporting system to handle different antenna qualities and conditions independently, improving positioning accuracy by capturing local antenna-specific features without requiring complete reconfiguration of the entire reporting system.
2Measurement precision
If positioning signal measurements are reported at an antenna level (proposed approach), then the positioning accuracy and AI/ML model training capability improves, but the reporting overhead and processing complexity increases
Solution Approach 1:
The patent segments the large volume of positioning measurement data into smaller antenna-specific subsets, where each subset is identified by a unique antenna ID. This segmentation reduces the processing complexity by allowing the network to selectively process only the relevant antenna measurements needed for specific positioning tasks, rather than handling all measurements uniformly.
Solution Approach 2:
The patent extracts only the necessary antenna-specific measurement information required for positioning accuracy and AI/ML model training, rather than transmitting all possible measurement data. The network can selectively request measurements from specific antennas based on positioning requirements, reducing the overall data quantity while maintaining measurement precision.
3Adaptability or versatility
If multiple antenna positioning signals are measured and reported separately, then the system can capture antenna-specific features for better positioning models, but the configuration and measurement complexity increases
Solution Approach 1:
The patent creates a universal measurement reporting framework that works across multiple antennas and different positioning scenarios. The same measurement configuration and reporting mechanism can be applied to any number of antennas by simply changing the antenna ID parameter, making the system versatile and adaptable to different positioning requirements without requiring separate configurations for each antenna.
Solution Approach 2:
The patent uses parameter changes, specifically the antenna ID parameter, to differentiate between measurements from different antennas. By varying this single parameter, the system can configure measurements for multiple antennas without fundamentally changing the measurement process or reporting structure, thereby reducing configuration complexity while maintaining adaptability.
Data Source
AI summary
A wireless device may receive a configuration message including a configuration to measure a first set of positioning signals associated with a first antenna and to measure a second set of positioning signals associated with a second antenna. The wireless device may receive the first set of positioning signals associated with the first antenna and the second set of positioning signals associated with the second antenna. The wireless device may measure the first set of positioning signals associated with the first antenna and the second set of positioning signals associated with the second antenna. The wireless device may transmit a set of report messages including a first indicator of a first subset of the measured first set of positioning signals associated with the first antenna and a second indicator of a second subset of the measured second set of positioning signals associated with the second antenna.