5G NR Target Object Registration via RF Sensing
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Solution Overview
Problem
Current 5G NR specifications do not define procedures for target registration and/or target ID annotation, which hinders effective target object tracking and identification in RF sensing applications.
Innovation Solution
A method for registering a target object in a target object database by determining its physical presence and attributes, and then associating it with a unique identifier, which can be initiated through RF-S based presence detection by sensing nodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current 5G NR specifications are used without target registration procedures, then the system maintains simplicity in specification design, but target object tracking and identification effectiveness deteriorates
Solution Approach 1:
The patent segments the target object identification process into distinct phases: target detection, target registration, and target tracking. By dividing the overall process into manageable components with specific procedures for each phase, the system achieves reliable target tracking while maintaining specification organization and clarity.
Solution Approach 2:
The patent implements preliminary action by establishing target registration procedures before target tracking begins. The network component registers target objects and their attributes in advance, creating a foundation database that enables subsequent tracking operations to proceed effectively without ad-hoc identification challenges.
2Reliability
If target registration procedures are implemented in 5G NR specifications, then target object tracking and identification effectiveness improves, but specification complexity increases
Solution Approach 1:
The patent applies universality by designing the target registration and tracking framework to serve multiple functions: RF sensing, positioning, and general target identification. The same procedural framework and message structures are reused across different application scenarios, reducing overall specification complexity while enhancing target tracking effectiveness.
Solution Approach 2:
The patent introduces an intermediary target registration procedure that mediates between the physical layer sensing capabilities and the higher-layer tracking requirements. This intermediary layer standardizes the interface between detection and tracking functions, enabling reliable target identification without directly complicating the physical layer specifications.
3Productivity
If systematic target registration and annotation methods are established, then target object tracking capability improves, but implementation complexity increases
Solution Approach 1:
The patent implements self-service by enabling the network component to autonomously perform target registration and attribute annotation without requiring complex external coordination. The network component automatically detects targets, registers them in the database, and maintains their identifiers, simplifying implementation while improving tracking capability.
Solution Approach 2:
The patent establishes feedback mechanisms where the network component receives target detection information, processes it through registration procedures, and outputs registered target identifiers for tracking. This structured feedback loop automates the target management process, enhancing tracking capability while reducing manual intervention complexity.
Data Source
AI summary
Aspects of the disclosure are directed to registration of a target object in a target object database (e.g., maintained by a network component) in association with a target object identifier and a set of attributes associated with the target object. In an aspect, the registration process may be initiated in response to physical presence detection of the target object (e.g., by one or more sensing nodes), where the presence detection can be based on radio frequency for sensing (RF-S) or non RF-S approaches. Such aspects may provide various technical advantages, such as improved target object tracking and identification.