UAV Connectivity Optimization Through Real-Time Network Feedback
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Solution Overview
Problem
Existing communication networks are not optimized for the diverse and dynamic connectivity needs of unmanned aerial vehicles (UAVs), which vary based on flight missions such as parcel delivery or real-time video streaming, leading to potential interference and inadequate bandwidth.
Innovation Solution
Implementing a closed-loop feedback and control mechanism, known as a 'drone service', that utilizes network state information and machine learning to provide operational information to UAVs, including suggested flight paths and interference mitigation strategies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If existing communication networks are used for UAV connectivity, then basic communication is maintained, but bandwidth is inadequate and interference occurs for diverse flight missions
Solution Approach 1:
The patent implements dynamic network state monitoring and real-time adjustment of communication parameters. The system continuously retrieves network state information and adapts operational information (such as flight paths and communication settings) based on current network conditions, enabling the communication system to dynamically optimize bandwidth allocation and interference management for different UAV missions
Solution Approach 2:
The system changes communication parameters such as frequency, power level, and modulation schemes based on network state information. By adjusting these parameters in real-time according to network conditions, the system optimizes bandwidth utilization and reduces interference for diverse UAV applications including video streaming and parcel delivery
2Reliability
If network state information is continuously monitored and operational information is provided in real-time, then UAV connectivity is optimized, but system complexity increases
Solution Approach 1:
The patent implements a closed-loop feedback system where network state information is continuously retrieved and used to determine operational information for UAVs. This feedback mechanism enables real-time optimization of connectivity by adjusting flight paths and communication parameters based on current network conditions, thereby improving reliability without requiring overly complex systems
Solution Approach 2:
The system enables UAVs to autonomously adjust their operational parameters based on received network state information. The UAVs self-optimize their flight paths and communication settings without requiring complex external control, reducing overall system complexity while maintaining high connectivity reliability
Data Source
AI summary
Aspects of the subject disclosure may include, for example, a drone service retrieving network state information describing a network state of at least a portion of a communication network, determining an impact of the network state on operation of an unmanned aerial vehicle (UAV), determining operational information for the UAV, and providing the operational information to the UAV. Other embodiments are disclosed.