UAV Carrier Frequency Selection for Real-Time Connectivity

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Solution Overview

Problem

Existing communication networks are not optimized for the varying connectivity requirements of unmanned aerial vehicles (UAVs) due to differences in mobility and channel conditions between terrestrial users and high-altitude UAVs, leading to issues such as interference and inadequate bandwidth.

Innovation Solution

Implementing a closed-loop feedback and control mechanism, known as a 'drone service', which uses network application programming interfaces to retrieve static and dynamic network information, applies machine learning, and optimizes carrier frequency selection and flight paths for UAVs to enhance connectivity and minimize interference.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If existing communication networks are used for UAVs, then basic connectivity is provided, but interference and inadequate bandwidth occur due to non-optimized network conditions

Engineering Contradiction:

Improveconnectivity reliabilityVSAvoidinterference and bandwidth insufficiency

Core Design Contradiction:

ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The patent changes network parameters specifically for UAVs by implementing a drone service that retrieves network information and determines carrier frequencies optimized for high-altitude operations. This involves modifying frequency selection, bandwidth allocation, and network state parameters to suit UAV mobility and channel conditions, resolving the contradiction between basic connectivity and interference-free reliable communication.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent segments the communication network into a dedicated drone service layer that handles UAV-specific operations separately from general terrestrial communication. This segmentation allows independent optimization of network parameters for UAVs without affecting other users, enabling reliable connectivity while eliminating interference through specialized frequency and bandwidth management.

Inventive Principle:

Principle #1Segmentation

2Productivity

If carrier frequency is optimized for UAVs, then communication efficiency improves, but network complexity increases due to closed-loop feedback mechanisms

Engineering Contradiction:

Improvecommunication efficiencyVSAvoidnetwork system complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent implements a closed-loop feedback mechanism where the drone service continuously retrieves network state information, monitors communication quality, and dynamically adjusts carrier frequency selections. This feedback loop enables real-time optimization of communication efficiency while the automated nature of the feedback process prevents excessive complexity by using standardized information retrieval and determination algorithms.

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The drone service acts as an intermediary layer between UAVs and the core communication network. This intermediary handles all complex frequency selection and network state retrieval operations, shielding the core network from complexity while maintaining efficient communication with UAVs through standardized interfaces and automated decision-making processes.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Measurement precision

If network state information is continuously retrieved, then carrier frequency optimization improves, but information processing overhead increases

Engineering Contradiction:

Improvenetwork state accuracyVSAvoidprocessing overhead

Core Design Contradiction:

Measurement precisionVSLoss of information

Solution Approach 1:

The patent retrieves network state information selectively rather than continuously for all parameters. The drone service determines only the essential network state data needed for carrier frequency optimization, avoiding unnecessary information gathering and processing. This partial action approach maintains sufficient measurement precision for frequency selection while minimizing processing overhead by focusing on critical network parameters.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS20250324407A1Intelligent Real-time Carrier Selection for UAVs

Publication Date: 2025.10.16 AT&T INTELLECTUAL PROPERTY I L P

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), selecting a carrier frequency to be used for communication by the UAV, and providing the data describing the carrier frequency to the UAV and/or to communication network nodes. Other embodiments are disclosed.