UAV Communication Channel Adaptation Using Artificial Intelligence

Report demonstrates a way for adapting Unmanned Aerial Vehicle (UAV) communication channel using Artificial Intelligence (AI). Simulation was provided on the base of original model for communication channel "Ground Control Station – Stratospheric Repeater – UAV", which was built using MATLAB Simulink software. Dependences of the Bit Error Rate (BER) on Signal-to-Noise Ratio (SNR) for different data rates were obtained and analyzed. Program code predicting BER for given SNR and Data Rate is presented. Block diagram of UAV adaptive channel with AI is proposed.

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Publication Details

Published
2024-10-11
DOI
https://doi.org/10.1109/dessert65323.2024.11122157
Primary Topic
Telecommunications and Broadcasting Technologies
Type
article
Field-Weighted Citation Impact
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article

UAV Communication Channel Adaptation Using Artificial Intelligence

Andrii Grekhov, Volodymyr Kharchenko, Vasyl Kondratiuk
Telecommunications and Broadcasting Technologies
article

UAV Communication Channel Adaptation Using Artificial Intelligence

Andrii Grekhov, Volodymyr Kharchenko, Vasyl Kondratiuk
article en

Abstract

Report demonstrates a way for adapting Unmanned Aerial Vehicle (UAV) communication channel using Artificial Intelligence (AI). Simulation was provided on the base of original model for communication channel "Ground Control Station – Stratospheric Repeater – UAV", which was built using MATLAB Simulink software. Dependences of the Bit Error Rate (BER) on Signal-to-Noise Ratio (SNR) for different data rates were obtained and analyzed. Program code predicting BER for given SNR and Data Rate is presented. Block diagram of UAV adaptive channel with AI is proposed.

National University "Kyiv Aviation Institute" (UA)
Openalex Percentile: Top 56%
Telecommunications and Broadcasting Technologies
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