Unauthorized UAV Detection Through Selective 3GPP AMF Tracking
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Solution Overview
Problem
There is currently no suitable method for detecting unauthorized uncrewed aerial vehicles (UAVs) that have accessed a 3GPP network without authorization, posing a significant risk to individuals and society.
Innovation Solution
A method involving the Access and Mobility Management Function (AMF) sending a tracking indication message to a network device to report attribute information of user equipment when it meets specific conditions, such as location and speed, allowing for the identification of whether the user equipment is an authorized or unauthorized UAV.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional detection methods (cloud-based flight data monitoring or dedicated detection devices) are used for unauthorized UAVs, then detection capability is improved, but device complexity and network dependency increase
Solution Approach 1:
The patent introduces an AMF network element as an intermediary that mediates between the UAV and the detection system. The AMF receives tracking indication messages, manages user equipment attribute information, and coordinates detection operations, thereby reducing direct system complexity while maintaining reliable detection capability through centralized management
Solution Approach 2:
The patent implements a feedback mechanism where the AMF continuously monitors and updates user equipment attribute information based on tracking data. This feedback loop enables reliable detection of unauthorized UAVs by comparing real-time attributes against authorized lists, while keeping the system architecture relatively simple through information-based control
2Measurement precision
If comprehensive tracking of all user equipment is implemented, then detection accuracy is improved, but network signaling overhead and processing burden increase
Solution Approach 1:
The patent applies local quality by implementing selective tracking only for user equipment that meets specific conditions (e.g., suspected unauthorized UAVs). The AMF processes and stores attribute information only for targeted devices rather than all network users, thereby achieving high detection accuracy for relevant targets while minimizing overall signaling overhead and processing burden
Solution Approach 2:
The patent uses partial action by implementing tracking for a subset of user equipment that is suspected or identified as potentially unauthorized. Rather than universally tracking all devices, the system applies detection resources selectively to cases where detection accuracy is most needed, reducing total signaling overhead while maintaining effective detection capability
Data Source
AI summary
Embodiments of this application provide a method for detecting an unauthorized uncrewed aerial vehicle, an apparatus, and a system. An AMF sends a tracking indication message to a network device, where the tracking indication message is used to indicate to report attribute information of user equipment in a coverage area of the network device when the attribute information of the user equipment meets a preset condition; and obtains the attribute information of the user equipment. In this way, after the attribute information of the user equipment is obtained, an identity status of the user equipment may be identified based on the attribute information of the user equipment, that is, whether the user equipment is an unauthorized uncrewed aerial vehicle is identified. This implements detection on an unauthorized uncrewed aerial vehicle that has accessed the 3GPP network.