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UAVradio: Radio Link Path Loss Estimation for UAVs

Authors: Daniel Aláez; Mikel Celaya-Echarri; Leyre Azpilicueta; Jesús E. Villadangos;

UAVradio: Radio Link Path Loss Estimation for UAVs

Abstract

The UAVRadio Python module is a comprehensive toolkit designed to facilitate the analysis and prediction of radio signal path loss in Unmanned Aerial Vehicle (UAV) communication scenarios. The module encompasses a range of path loss models referenced from established literature, offering users a powerful and flexible framework for estimating signal attenuation in different UAV communication links. It is a versatile and modular tool that enables simple integration for optimizing UAV communication systems and ensuring reliable wireless connectivity in a variety of operational scenarios. The utility of this package is demonstrated through two relevant examples: an experimentally fit model comparison with other implemented models, and a UAV digital twin implementation example comparing different available models and frequencies. The examples are provided in the code repository along with comprehensive documentation.

This work was supported in part by Grant No. RYC2021- 031949-I funded by MCIN/AEI/10.13039/501100011033 and NextGenerationEU/PRTR; in part by the Ministerio de Ciencia e Innovación (Spain) under the research grant CONDOR-Connected PID2021- 127409OB-C31; and in part by the Government of Navarre (Departamento de Desarrollo Económico) under the research grant PC109-110 NAITEST.

Country
Spain
Related Organizations
Keywords

QA76.75-76.765, UAV, Computer software, Radio, Path loss, Simulation, Communications, Model

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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9
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30
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