UAV Detection Over Mobile Networks With Adaptive RRC Scanning
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Solution Overview
Problem
Unmanned aerial vehicles (UAVs) in mobile networks face catastrophic consequences due to their inability to obtain navigation information during discontinuous sleep states, leading to potential crashes from scanning for base stations.
Innovation Solution
A customized Radio Resource Control (RRC) reconfiguration message is generated based on the UAV's device type and geolocation, which includes or excludes the reportCGI object to manage scanning intervals and avoid hazardous areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If UAVs obtain neighboring base station information during discontinuous sleep state, then measurement reports can be generated, but navigation information cannot be obtained leading to catastrophic consequences
Solution Approach 1:
The system performs preliminary identification of UAV device type before configuring measurement procedures. By requesting and determining device type from the serving base station prior to any measurement activities, the system proactively prevents hazardous scanning operations from occurring in the first place
Solution Approach 2:
The RRC reconfiguration message is dynamically customized based on device type identification. For UAVs, the system dynamically adjusts the configuration by excluding reportCGI objects and setting appropriate measurement intervals, transforming a static measurement procedure into an adaptive one that responds to device characteristics
2Productivity
If traditional RRC reconfiguration messages are used for UAVs, then base station scanning can occur, but navigation information is lost during sleep states
Solution Approach 1:
The system extracts and removes the reportCGI object from the RRC reconfiguration message specifically for UAV devices. This extraction eliminates the harmful function of aggressive base station scanning that causes UAVs to enter sleep states where they lose navigation information
Solution Approach 2:
The measurement configuration is customized with local quality adjustments for UAVs. By applying device-type-specific configuration parameters (excluding reportCGI, setting appropriate intervals), the system creates a localized optimization that preserves navigation information while still enabling necessary measurement functionality
Data Source
AI summary
Aspects of the subject disclosure may include, for example, identifying a communication device communicatively coupled to a serving base station, requesting a device type associated with the communication device from the serving base station, and determining the communication device comprises an unmanned aerial vehicle based on the device type. Further embodiments can include generating a customized radio resource control (RRC) reconfiguration message based on the communication device comprising the unmanned aerial vehicle, and transmitting the customized RRC reconfiguration message to the communication device via the serving base station. Other embodiments are disclosed.


