UAV Flight Path Feedback for Stable Cellular Coverage

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Solution Overview

Problem

Existing wireless communication systems face challenges in optimizing the flight paths of uncrewed aerial vehicles (UAVs) to ensure continuous and optimal cellular coverage, particularly in dynamic radio conditions.

Innovation Solution

The method involves transmitting flight path information by a user equipment (UE) associated with a UAV, receiving modifications to this information based on radio conditions, and triggering movement of the UAV accordingly. This process includes receiving initial and secondary configurations for mobility operations, which are adjusted based on flight path information and radio conditions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If the UAV follows a predetermined flight path, then the flight plan is simple to execute, but the cellular coverage and radio conditions may deteriorate due to inability to adapt to dynamic environments

Engineering Contradiction:

Improveadaptability to radio conditionsVSAvoidflight path management complexity

Core Design Contradiction:

Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The network node receives flight path information from the UAV, analyzes radio conditions along the path, and sends back modifications to optimize cellular coverage. This feedback loop enables the UAV to adapt its flight path dynamically while maintaining manageable complexity through automated network-controlled adjustments.

Inventive Principle:

Principle #23Feedback

2Reliability

If the UAV frequently changes flight path to optimize radio conditions, then cellular coverage and throughput improve, but the number of handovers and system complexity increases

Engineering Contradiction:

Improvecellular coverage reliabilityVSAvoidhandover time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The network node receives the complete flight path information in advance and performs radio condition analysis and optimization calculations before the UAV executes the modified path. This preliminary action allows the system to prepare optimal flight path modifications without requiring real-time handovers during flight, thereby reducing handover time and improving coverage reliability.

Inventive Principle:

Principle #10Preliminary action

3Productivity

If the network node processes complex flight path optimizations in real-time, then the quality of service improves, but the computational resources and system complexity increase

Engineering Contradiction:

Improveflight path optimization efficiencyVSAvoidnetwork node complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The network node receives flight path information ahead of time and performs comprehensive radio condition analysis and optimization calculations in advance. This preliminary processing allows complex optimizations to be completed before the UAV executes the modified path, improving service quality while distributing computational load over time rather than requiring peak real-time processing power.

Inventive Principle:

Principle #10Preliminary action

Data Source

PatentUS20250159493A1Uncrewed aerial vehicle flight path optimization

Publication Date: 2025.05.15 QUALCOMM INC

AI summary

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a user equipment (UE) may transmit flight path information regarding a flight path of the UE. The UE may receive a modification to the flight path information, wherein the modification is associated with a radio condition, wherein the radio condition is associated with the flight path. The UE may trigger movement of the UE in association with the modification to the flight path information. Numerous other aspects are described.