Aerial UE Operation Control via Dynamic Reporting
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Solution Overview
Problem
The operation of aerial UEs in wireless communication systems poses unique challenges due to their distinct behaviors, such as autonomous flight paths and interference issues, which existing technologies have not adequately addressed for effective position reporting, handover, and interference control.
Innovation Solution
A method for controlling aerial UEs involves determining their operational mode and reporting flight path information based on predefined periods or deviation thresholds, using this information to enhance handover and cell reselection processes, and minimizing interference by selecting the nearest base station with optimal RSRP, while also considering flight duration thresholds and intended flight paths in autonomous and non-autonomous modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If flight path information is reported frequently to improve position accuracy, then position reporting accuracy is improved, but reporting overhead increases
Solution Approach 1:
The patent implements dynamic reporting intervals that adjust based on the aerial UE's operational mode and flight behavior. In autonomous mode with stable flight, reporting intervals are extended, while in non-autonomous mode or when deviation thresholds are exceeded, reporting frequency increases. This dynamic adjustment optimizes position accuracy while minimizing unnecessary reporting overhead.
Solution Approach 2:
The system changes reporting parameters (intervals and thresholds) based on the aerial UE's operational state. Different reporting intervals are configured for autonomous versus non-autonomous modes, and deviation thresholds are adjusted based on flight stability. This parameter adaptation allows the system to maintain accuracy requirements while reducing overall reporting volume.
2Measurement precision
If handover and cell reselection processes are optimized for aerial UEs, then handover accuracy is improved, but system complexity increases
Solution Approach 1:
The patent segments the aerial UE population into different operational modes (autonomous and non-autonomous) and applies mode-specific handover and cell reselection parameters. This segmentation allows tailored optimization for each category without requiring complex individual assessments for every aerial UE, thereby improving handover accuracy while managing system complexity through categorical differentiation.
3Object-generated harmful factors
If interference control measures are implemented for aerial UEs, then interference reduction is achieved, but control mechanism complexity increases
Solution Approach 1:
The patent implements feedback mechanisms where aerial UEs report their operational mode and flight path information to the network, which then adjusts interference control parameters accordingly. The network uses this feedback to configure appropriate reporting intervals and handover parameters that minimize interference while avoiding overly complex control mechanisms through rule-based responses to reported states.
Data Source
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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.