UAV Position Reporting Rate Control for Collision Risk

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Solution Overview

Problem

Unmanned Aerial Vehicles (UAVs) in wireless telecommunications networks face challenges in avoiding physical collisions with other objects, requiring efficient collision risk assessment and adaptive reporting rate mechanisms to balance collision avoidance with energy consumption and control signaling.

Innovation Solution

A method to determine and adjust the reporting rate of UAVs based on collision risk, which includes calculating distances between UAVs and applying configurable reporting rates, as well as considering misbehavior or meteorological factors, to optimize position reporting and reduce energy consumption.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If UAVs report their position at a high reporting rate to improve collision avoidance, then collision detection capability is improved, but energy consumption and control signaling increase

Engineering Contradiction:
Improvecollision avoidance capabilityVSAvoidenergy consumption
Core Design Contradiction:
ReliabilityVSUse of energy by moving object

Solution Approach 1:

The patent applies dynamics by making the reporting rate adjustable rather than fixed. The network node dynamically configures different reporting rates based on real-time collision risk assessment, which is determined by factors such as UAV density, weather conditions, and geographic location. This allows the system to optimize between collision detection capability and energy consumption adaptively.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The patent changes the parameter of reporting rate based on collision risk levels. When collision risk is high (e.g., many UAVs in proximity, adverse weather), the reporting rate is increased to improve collision avoidance. When risk is low, the reporting rate is decreased to conserve energy. This parameter adjustment is communicated through configuration messages from the network node to individual UAVs.

Inventive Principle:
Principle #35Parameter changes

2Reliability

If UAVs report their position frequently to improve collision avoidance, then collision detection capability is improved, but control signaling increases

Engineering Contradiction:
Improvecollision detection capabilityVSAvoidcontrol signaling
Core Design Contradiction:
ReliabilityVSQuantity of substance

Solution Approach 1:

The system dynamically adjusts the reporting rate parameter to optimize the balance between collision detection and control signaling. The network node evaluates collision risk and configures appropriate reporting rates, reducing the number of position reports when risk is low and minimizing control signaling overhead.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

By changing the reporting rate parameter based on real-time conditions, the system reduces control signaling when high-frequency reporting is not necessary for safety. This parameter adaptation allows the network to maintain collision avoidance capability while minimizing unnecessary signaling traffic.

Inventive Principle:
Principle #35Parameter changes

3Ease of operation

If the reporting rate is fixed to simplify system operation, then ease of operation is improved, but adaptability to different collision risk conditions deteriorates

Engineering Contradiction:
Improvesystem operation simplicityVSAvoidadaptability to collision risk conditions
Core Design Contradiction:
Ease of operationVSAdaptability or versatility

Solution Approach 1:

The system provides self-service by automatically assessing collision risk and configuring appropriate reporting rates without requiring manual intervention. The network node monitors UAV positions, evaluates risk factors (weather, UAV density, geography), and autonomously adjusts reporting rates, maintaining both simplicity and adaptability.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system uses feedback mechanisms where UAVs report their positions and the network node receives this information to continuously assess collision risk. Based on this feedback, the network node adjusts reporting rates dynamically, allowing the system to adapt to changing conditions while maintaining automated operation.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS11977398B2Unmanned aerial vehicle
Publication Date: 2024.05.07 BRITISH TELECOM PLC
  • US11977398B2 patent drawing
  • US11977398B2 patent drawing
  • US11977398B2 patent drawing

AI summary

Operating a network node to control a first Unmanned Aerial Vehicle (UAV) in a wireless telecommunications network can include determining a collision risk for the first UAV; determining a reporting rate for the first UAV based on the collision risk; and sending a reporting rate update message to the first UAV so as to cause the first UAV to report its position at the determined reporting rate. A method of operating an Unmanned Aerial Vehicle (UAV) in a wireless telecommunications network is also disclosed.