Wireless Sensing Using Volume-Related Object Information
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Solution Overview
Problem
Existing wireless communication systems, particularly 5G, lack the capability to accurately determine the position, size, volume, orientation, and shape of target objects for effective wireless sensing, which is crucial for precise positioning and object detection.
Innovation Solution
A method and system for wireless sensing that involves a user equipment (UE) and a network entity exchanging volume-related information, including estimated position, size, volume, orientation, and shape of target objects, enabling precise sensing procedures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If wireless communication systems use existing positioning methods, then basic positioning can be achieved, but accurate determination of target object characteristics (position, size, volume, orientation, shape) cannot be achieved
Solution Approach 1:
The patent segments the target object characterization into multiple independent parameters: position, size, volume, orientation, and shape. Each parameter is estimated separately using different sensing procedures and information sources, allowing comprehensive object detection while maintaining measurement precision for each individual characteristic.
Solution Approach 2:
The patent transitions from traditional 2D positioning to 3D spatial characterization by incorporating volume, orientation, and shape parameters. This dimensional expansion enables accurate determination of target object characteristics beyond simple location, addressing the information loss about object properties.
2Device complexity
If wireless sensing procedures are simplified, then system complexity is reduced, but sensing accuracy and object detection capability deteriorate
Solution Approach 1:
The patent creates a universal sensing framework where a single wireless communication system performs multiple sensing functions: positioning, sizing, volume estimation, orientation detection, and shape characterization. This multi-functionality approach maintains system simplicity while achieving comprehensive object detection accuracy.
Solution Approach 2:
The patent introduces volume-related information as an intermediary element that mediates between simple wireless communication and complex object characterization. This intermediary carries essential object characteristics through the communication channel, enabling accurate sensing without requiring complex dedicated sensing hardware.
3Loss of information
If volume-related information is exchanged between UE and network entity, then target object characteristics are accurately determined, but communication overhead increases
Solution Approach 1:
The patent extracts only the essential volume-related information (position, size, volume, orientation, shape) from the complete object characterization set. By taking out only these critical parameters for exchange between UE and network entity, the system maintains information completeness while minimizing communication overhead.
Solution Approach 2:
The patent applies partial action by exchanging only the necessary volume-related parameters rather than complete object information. This selective exchange provides sufficient data for accurate target object determination without the excessive data transmission that would result from sharing all possible object characteristics.
Data Source
AI summary
Disclosed are techniques for wireless sensing. In an aspect, a user equipment (UE) receives, from a network entity, volume-related information associated with at least one target object, the volume-related information including an estimated position of the at least one target object, an estimated size of the at least one target object, an estimated volume of the at least one target object, an estimated orientation of the at least one target object, an estimated shape of the at least one target object, or any combination thereof, and performs a sensing procedure with the network entity to determine one or more characteristics of the at least one target object based on at least the volume-related information.