RF Sensing Geometry Reporting for Wireless Target Classification
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Solution Overview
Problem
Wireless devices face challenges in obtaining and reporting accurate geometric information about sensing targets due to a lack of awareness of sensing resolution parameters and appropriate reporting formats, leading to ineffective or inaccurate RF sensing.
Innovation Solution
Configuring wireless devices with parameters for RF sensing, including expected geometric information, resolution information, and report formats to enable accurate sensing and reporting of target entities' shapes and dimensions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If wireless devices perform RF sensing without configuration parameters, then the sensing process is simpler, but the geometric information accuracy deteriorates
Solution Approach 1:
The network entity configures the wireless device with sensing parameters, expected geometric information formats, and resolution requirements before the RF sensing operation. This preliminary configuration enables the device to perform accurate sensing without increasing operational complexity, as all necessary parameters are pre-provided.
Solution Approach 2:
The patent introduces configurable parameters including expected shape information, expected dimension information, and resolution requirements that allow the sensing system to adapt its measurement precision. These parameters enable the system to optimize between complexity and accuracy based on specific application needs.
2Reliability
If wireless devices report detailed geometric information, then target classification improves, but the reporting overhead increases
Solution Approach 1:
The patent enables the network entity to configure specific geometric information requirements for different target types or sensing scenarios. The wireless device reports only the relevant geometric parameters (shape, dimension, orientation) that are locally optimized for each specific target classification task, avoiding unnecessary data transmission while maintaining classification accuracy.
Solution Approach 2:
The system allows dynamic adjustment of reporting parameters including the level of geometric detail, format of geometric information, and specific parameters to report. This enables optimization of reporting overhead based on the actual classification needs, balancing information completeness with transmission efficiency.
Data Source
AI summary
Methods, systems, and devices for wireless communication are described. A wireless device may receive, from a network entity, control signaling that indicates a configuration for sensing and reporting information of a target entity in a wireless communication system. The wireless device may obtain geometric information (e.g., shape, dimension, and the like) associated with the target entity in the wireless communication system based on a radio frequency (RF) sensing procedure according to the configuration. The wireless device may transmit, to the network entity, a report including the geometric information associated with the target entity.


