UAV Traffic Information Acquisition for Communication Link Adaptation
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Solution Overview
Problem
Current UAV traffic control technologies lack effective methods for acquiring and utilizing real-time traffic information and operational data, which are crucial for efficient communication systems and safe UAV operations.
Innovation Solution
The proposed solution involves a method and apparatus for acquiring and utilizing UAV operational and traffic information within designated regions. This includes devices that collect and provide operational information such as speed, altitude, and mobility, as well as traffic information like congestion and cluster data. These data are then used to determine communication link adaptations and decide on cooperative communication between base stations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time traffic information and operational data are collected and utilized for UAV communication systems, then communication efficiency and safety are improved, but system complexity and information processing requirements increase
Solution Approach 1:
The patent segments traffic information into multiple categories including operational information (position, speed, altitude), traffic flow information, congestion information, and cluster information. This segmentation allows the system to process and utilize specific types of information as needed without being overwhelmed by the complexity of collecting and processing all possible data types simultaneously, thereby improving communication safety while managing system complexity.
Solution Approach 2:
The patent implements preliminary action by having first devices (ground stations, base stations, or other UAVs) continuously collect and maintain traffic information about UAVs in advance before communication operations occur. This pre-collected information is then readily available for determining communication operations, reducing the need for complex real-time data processing during critical communication moments and improving both safety and system manageability.
2Measurement precision
If comprehensive traffic information is collected across large regions, then communication operation determination accuracy is improved, but information acquisition cost and processing time increase
Solution Approach 1:
The patent applies local quality by having first devices collect traffic information within their specific coverage regions and having each device determine communication operations for UAVs within its own coverage area. This localized approach allows for high determination accuracy within each region while avoiding the need to process all traffic information from the entire network centrally, thereby reducing overall processing time and resource requirements.
Solution Approach 2:
The patent introduces a hierarchical dimension to information processing by organizing the system into multiple levels: individual first devices processing local information, and optional central servers aggregating regional information. This dimensional organization allows the system to balance between comprehensive information collection for accuracy and distributed processing for time efficiency, as each level operates independently on appropriate data subsets.
Data Source
AI summary
An information acquisition and communication method for an unmanned aerial vehicle (UAV) may comprise: acquiring, by at least one first device, operational information or traffic information of the at least one unmanned aerial vehicle; providing, by the at least one first device, the operational information or the traffic information of the at least one unmanned aerial vehicle to the at least one unmanned aerial vehicle or to a base station affecting the communication operation of the at least one unmanned aerial vehicle; and determining, by the at least one unmanned aerial vehicle or the base station, the communication operation of the at least one unmanned aerial vehicle based on the operational information or the traffic information of the at least one unmanned aerial vehicle.