Aerial Device Violation Detection for No-Fly Zone Enforcement
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Solution Overview
Problem
Wireless communications systems face challenges in managing violations by aerial devices, such as unmanned aerial vehicles (UAVs), including signal attenuation, blockage, and non-compliance with area restrictions, which affect communication efficiency and reliability.
Innovation Solution
Implementing a radio access network (RAN) to detect violations of area restrictions, such as no-fly zones (NFZ), no-transmit zones (NTZ), and no-leave zones (NLZ), using uplink path-loss estimation and coordinated aerial devices for monitoring, and triggering network exposure function (NEF) notifications for enforcement actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If aerial devices are allowed to operate freely in wireless communications systems, then device freedom and operational flexibility are improved, but area restriction violations and harmful transmissions increase
Solution Approach 1:
The system performs preliminary actions by detecting aerial devices before they violate area restrictions. Network entities monitor location and flight path information in advance, and enforcement actions are triggered proactively when potential violations are detected, preventing harmful transmissions before they occur.
Solution Approach 2:
The system implements feedback mechanisms where network entities continuously monitor aerial device location and transmission behavior. When area restrictions are violated or potential violations are detected, feedback signals are sent to enforce compliance, creating a closed-loop control system that adapts to device behavior in real-time.
2Reliability
If network entities implement monitoring and enforcement actions for area restrictions, then communication reliability and compliance are improved, but network complexity and processing overhead increase
Solution Approach 1:
The monitoring and enforcement function is segmented and distributed across multiple network entities rather than centralized. Different network entities perform specific monitoring tasks, location tracking, and enforcement actions, distributing the processing load and reducing the complexity burden on any single entity.
Solution Approach 2:
Aerial devices perform self-monitoring of their own location and flight path, and autonomously determine when area restrictions are violated. This self-service approach reduces the processing burden on network entities while maintaining compliance reliability.
3Reliability
If continuous monitoring of aerial devices is performed, then detection accuracy and reliability are improved, but energy consumption and processing resources increase
Solution Approach 1:
Instead of continuous real-time monitoring, the system implements periodic monitoring where location and flight path information are updated at predetermined intervals. This periodic action maintains detection accuracy while significantly reducing energy consumption and processing resource requirements compared to continuous monitoring.
Solution Approach 2:
The system performs monitoring actions only when necessary, such as when aerial devices approach area boundaries or when violation patterns are detected. This partial monitoring approach maintains adequate detection accuracy while reducing overall energy consumption compared to constant full-monitoring.
Data Source
AI summary
Aspects of the present disclosure relate to wireless communications, and more particularly, to techniques for managing violations by aerial devices, such as unmanned aerial vehicles (UAVs). One aspect provides a method for violation detection. The method includes detecting, at a first network entity, a violation of an area restriction by an aerial device; and triggering a notification to a second network entity based on the violation of the area restriction, the notification causing a warning notification to be sent regarding the violation of the area restriction.