Wireless Network Node Rogue UAV Detection
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Solution Overview
Problem
There is a need for efficiently controlling wireless communications related to unmanned aerial vehicles (UAVs), particularly to detect and manage rogue UAVs that are not registered or authorized by an Unmanned Aircraft System (UAS) Traffic Management (UTM) system.
Innovation Solution
A method and node configuration for a wireless communication network that analyzes event data to detect rogue UAVs and reports them to an aircraft traffic management system, enabling automated actions such as blocking connections or redirecting traffic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If wireless communication networks provide connectivity to all wireless devices including UAVs, then network coverage and accessibility are improved, but the risk of rogue UAV operations increases
Solution Approach 1:
The patent introduces an intermediary detection system consisting of network nodes that monitor wireless devices and identify rogue UAVs. These intermediary nodes act as mediators between the wireless communication network and unauthorized UAVs, detecting suspicious devices through event data analysis and reporting them to appropriate authorities without preventing legitimate UAV operations.
Solution Approach 2:
The patent implements a feedback mechanism where network nodes continuously monitor event data from wireless devices, analyze it to detect rogue UAVs, and report findings back to the system. This closed-loop feedback enables real-time identification and response to unauthorized UAV operations while maintaining normal network functionality.
2Measurement precision
If the system monitors and analyzes event data from all wireless devices, then detection accuracy for rogue UAVs is improved, but network processing complexity increases
Solution Approach 1:
The patent extracts only the necessary event data elements needed for rogue UAV detection from the overall network data stream. Instead of processing all wireless communication data, the system selectively extracts and analyzes specific event data fields that are indicative of rogue UAV operations, reducing processing complexity while maintaining detection accuracy.
Solution Approach 2:
The patent segments the monitoring function into distributed network nodes that each independently analyze event data from their local wireless devices. This segmentation distributes the processing complexity across multiple nodes rather than centralizing it, enabling scalable rogue UAV detection without overwhelming a single processing system.
3Speed
If the system reports detected rogue UAVs to air traffic management in real-time, then response time and safety are improved, but communication overhead increases
Solution Approach 1:
The patent implements periodic monitoring and reporting where network nodes analyze event data continuously but report rogue UAV detections at specific intervals or when threshold conditions are met. This periodic action reduces communication overhead compared to continuous reporting while maintaining real-time response capability for safety-critical detections.
Data Source
AI summary
A node (130) of a wireless communication network obtains event data related to one or more wireless devices (10) connected to the wireless communication network. Based on analyzing the event data, the node (130) detects that at least one of the one or more wireless devices corresponds to a rogue UAV. Further, the node (130) reports the detected at least one wireless device to an aircraft traffic management system.