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UAV-Based Volumetric Measurements toward Radio Environment Map Construction and Analysis

Unmanned aerial vehicle (UAV)-empowered communications have gained significant attention in recent years due to the promise of agile coverage provision for a large number of various mobile nodes on the ground and in three-dimensional (3D) space. Consequently, there is a need for efficient spectrum u...

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Autores principales: Ivanov, Antoni, Muhammad, Bilal, Tonchev, Krasimir, Mihovska, Albena, Poulkov, Vladimir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781936/
https://www.ncbi.nlm.nih.gov/pubmed/36560074
http://dx.doi.org/10.3390/s22249705
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author Ivanov, Antoni
Muhammad, Bilal
Tonchev, Krasimir
Mihovska, Albena
Poulkov, Vladimir
author_facet Ivanov, Antoni
Muhammad, Bilal
Tonchev, Krasimir
Mihovska, Albena
Poulkov, Vladimir
author_sort Ivanov, Antoni
collection PubMed
description Unmanned aerial vehicle (UAV)-empowered communications have gained significant attention in recent years due to the promise of agile coverage provision for a large number of various mobile nodes on the ground and in three-dimensional (3D) space. Consequently, there is a need for efficient spectrum utilization in these dense aerial networks, which is characterized through radio environment maps (REMs), the construction of which is an important research area. Nevertheless, due to the difficult collection of radio frequency (RF) data, there are limited works that are based on real-world measurement campaigns. This paper presents a novel experimental setup that includes a constellation of three UAVs, the communication signals of which are measured by a software-defined radio (SDR) mounted on a separate UAV. It follows a trajectory that defines the REM’s two-dimensional (2D) area on a plane, executed at four altitudes, to extend the REM to 3D. The measurements are then processed and their features (received mean power level, average difference of the mean power, percentage of meaningful correlations) are analyzed in the temporal, spatial, and frequency domains to determine the utilization of a 20 MHz band in the 2.4 GHz spectrum, as well as their variation with altitude. This analysis provides a base for research in reducing the amount of measurements (by identifying the regions of low and of high interest) and spectrum occupancy prediction for UAV-based communication coexistence.
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spelling pubmed-97819362022-12-24 UAV-Based Volumetric Measurements toward Radio Environment Map Construction and Analysis Ivanov, Antoni Muhammad, Bilal Tonchev, Krasimir Mihovska, Albena Poulkov, Vladimir Sensors (Basel) Article Unmanned aerial vehicle (UAV)-empowered communications have gained significant attention in recent years due to the promise of agile coverage provision for a large number of various mobile nodes on the ground and in three-dimensional (3D) space. Consequently, there is a need for efficient spectrum utilization in these dense aerial networks, which is characterized through radio environment maps (REMs), the construction of which is an important research area. Nevertheless, due to the difficult collection of radio frequency (RF) data, there are limited works that are based on real-world measurement campaigns. This paper presents a novel experimental setup that includes a constellation of three UAVs, the communication signals of which are measured by a software-defined radio (SDR) mounted on a separate UAV. It follows a trajectory that defines the REM’s two-dimensional (2D) area on a plane, executed at four altitudes, to extend the REM to 3D. The measurements are then processed and their features (received mean power level, average difference of the mean power, percentage of meaningful correlations) are analyzed in the temporal, spatial, and frequency domains to determine the utilization of a 20 MHz band in the 2.4 GHz spectrum, as well as their variation with altitude. This analysis provides a base for research in reducing the amount of measurements (by identifying the regions of low and of high interest) and spectrum occupancy prediction for UAV-based communication coexistence. MDPI 2022-12-11 /pmc/articles/PMC9781936/ /pubmed/36560074 http://dx.doi.org/10.3390/s22249705 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Ivanov, Antoni
Muhammad, Bilal
Tonchev, Krasimir
Mihovska, Albena
Poulkov, Vladimir
UAV-Based Volumetric Measurements toward Radio Environment Map Construction and Analysis
title UAV-Based Volumetric Measurements toward Radio Environment Map Construction and Analysis
title_full UAV-Based Volumetric Measurements toward Radio Environment Map Construction and Analysis
title_fullStr UAV-Based Volumetric Measurements toward Radio Environment Map Construction and Analysis
title_full_unstemmed UAV-Based Volumetric Measurements toward Radio Environment Map Construction and Analysis
title_short UAV-Based Volumetric Measurements toward Radio Environment Map Construction and Analysis
title_sort uav-based volumetric measurements toward radio environment map construction and analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781936/
https://www.ncbi.nlm.nih.gov/pubmed/36560074
http://dx.doi.org/10.3390/s22249705
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