Aerial UE Flight Path Reporting for Handover and Interference Control
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Solution Overview
Problem
The integration of aerial vehicles, such as drones, into wireless networks poses challenges due to their unique behaviors, requiring specialized control mechanisms to manage interference, position reporting, and handover processes differently than conventional UEs.
Innovation Solution
A method for controlling aerial UEs involves determining their operational mode, reporting flight path information based on specific criteria such as reporting periods and deviations, and selecting base stations based on signal strength and flight path data to optimize communication performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If flight path information is reported frequently to improve position accuracy, then measurement precision is improved, but signaling overhead and network load increase
Solution Approach 1:
The patent applies dynamic reporting by adjusting the flight path information reporting frequency based on the aerial UE's operational mode. In autonomous mode, reporting occurs at a first reporting period with lower frequency, while in non-autonomous mode, reporting occurs at a second reporting period with higher frequency. This dynamic adjustment optimizes position tracking accuracy while adapting signaling overhead to the actual operational needs of the aerial UE.
Solution Approach 2:
The patent changes the reporting period parameter based on the operational mode of the aerial UE. The network entity configures different reporting periods (first reporting period for autonomous mode, second reporting period for non-autonomous mode) to balance position accuracy requirements with network resource consumption. This parameter change allows the system to adapt to different operational scenarios without maintaining maximum reporting frequency continuously.
2Loss of time
If autonomous mode is used to reduce reporting frequency and lower signaling overhead, then loss of time is reduced, but reliability of position tracking may deteriorate
Solution Approach 1:
The system dynamically switches between autonomous and non-autonomous modes based on operational requirements. In autonomous mode, the aerial UE independently determines its flight path and reports at lower frequency, reducing time loss. In non-autonomous mode, the network entity controls reporting at higher frequency to ensure reliability. This dynamic mode switching allows the system to optimize between time efficiency and tracking reliability based on real-time operational context.
Solution Approach 2:
The patent implements feedback mechanisms where the network entity receives flight path information from aerial UEs and can send control commands to switch between autonomous and non-autonomous modes. This feedback loop ensures that when reliability concerns arise, the network can transition the UE to non-autonomous mode with increased reporting frequency, thereby maintaining position tracking reliability while minimizing time loss under normal autonomous operation.
3Productivity
If base station selection is optimized based on flight path information to improve communication performance, then productivity is improved, but device complexity increases
Solution Approach 1:
The patent applies preliminary action by having the network entity pre-configure reporting periods and handover parameters based on expected flight paths before the aerial UE begins its mission. This allows base station selection to be optimized in advance according to the predicted trajectory, improving communication efficiency without requiring complex real-time decision-making mechanisms during flight.
Solution Approach 2:
In autonomous mode, the aerial UE independently performs base station selection and handover decisions based on pre-configured parameters and its own flight path information. This self-service approach improves communication efficiency by enabling rapid autonomous decisions while avoiding the complexity of continuous network entity intervention for each handover event.
Data Source
AI summary
The present disclosure is directed to a method and apparatus for controlling the operation of aerial UEs. An example of the method may include: determining whether an aerial UE is in an autonomous mode or in a non-autonomous mode; determining the flight path information of the aerial UE; and reporting the flight path information of the aerial UE. When the aerial UE is in the autonomous mode, the flight path information is reported when a first reporting period expires or the path deviation of the aerial UE is larger than a deviation threshold. When the aerial UE is in the non-autonomous mode, the flight path information is reported when a second reporting period less than the first reporting period expires or when at least one of the flying direction and flying speed of the aerial UE changes. Embodiments of the present disclosure solve the technical problem concerning the control of the operation of aerial UEs based on various behaviors.