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A Survey of Path Loss Prediction and Channel Models for Unmanned Aerial Systems for System-Level Simulations

Unmanned aerial systems (UAS) have recently gained popularity, and they are envisioned as an integral parts of the current and future wireless and mobile-radio networks. Despite the exhaustive research on air-to-ground channels, there are insufficient studies, experimental campaigns and general chan...

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Detalles Bibliográficos
Autores principales: Moraitis, Nektarios, Psychogios, Konstantinos, Panagopoulos, Athanasios D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10222034/
https://www.ncbi.nlm.nih.gov/pubmed/37430690
http://dx.doi.org/10.3390/s23104775
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author Moraitis, Nektarios
Psychogios, Konstantinos
Panagopoulos, Athanasios D.
author_facet Moraitis, Nektarios
Psychogios, Konstantinos
Panagopoulos, Athanasios D.
author_sort Moraitis, Nektarios
collection PubMed
description Unmanned aerial systems (UAS) have recently gained popularity, and they are envisioned as an integral parts of the current and future wireless and mobile-radio networks. Despite the exhaustive research on air-to-ground channels, there are insufficient studies, experimental campaigns and general channel models related to air-to-space (A2S) and air-to-air (A2A) wireless links. This paper presents a comprehensive review of the available channel models and path-loss prediction for A2S and A2A communications. Specific case studies attempting to extend current models’ parameters and provide important knowledge of the channel behavior in combination with UAV flight characteristics are also provided. A time-series rain-attenuation synthesizer is also presented that describes quite accurately the impact of the troposphere at frequencies above 10 GHz. This specific model can be also applied to both A2S and A2A wireless links. Finally, scientific challenges and gaps that can be used for future research on the upcoming 6G networks are highlighted.
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spelling pubmed-102220342023-05-28 A Survey of Path Loss Prediction and Channel Models for Unmanned Aerial Systems for System-Level Simulations Moraitis, Nektarios Psychogios, Konstantinos Panagopoulos, Athanasios D. Sensors (Basel) Review Unmanned aerial systems (UAS) have recently gained popularity, and they are envisioned as an integral parts of the current and future wireless and mobile-radio networks. Despite the exhaustive research on air-to-ground channels, there are insufficient studies, experimental campaigns and general channel models related to air-to-space (A2S) and air-to-air (A2A) wireless links. This paper presents a comprehensive review of the available channel models and path-loss prediction for A2S and A2A communications. Specific case studies attempting to extend current models’ parameters and provide important knowledge of the channel behavior in combination with UAV flight characteristics are also provided. A time-series rain-attenuation synthesizer is also presented that describes quite accurately the impact of the troposphere at frequencies above 10 GHz. This specific model can be also applied to both A2S and A2A wireless links. Finally, scientific challenges and gaps that can be used for future research on the upcoming 6G networks are highlighted. MDPI 2023-05-15 /pmc/articles/PMC10222034/ /pubmed/37430690 http://dx.doi.org/10.3390/s23104775 Text en © 2023 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 Review
Moraitis, Nektarios
Psychogios, Konstantinos
Panagopoulos, Athanasios D.
A Survey of Path Loss Prediction and Channel Models for Unmanned Aerial Systems for System-Level Simulations
title A Survey of Path Loss Prediction and Channel Models for Unmanned Aerial Systems for System-Level Simulations
title_full A Survey of Path Loss Prediction and Channel Models for Unmanned Aerial Systems for System-Level Simulations
title_fullStr A Survey of Path Loss Prediction and Channel Models for Unmanned Aerial Systems for System-Level Simulations
title_full_unstemmed A Survey of Path Loss Prediction and Channel Models for Unmanned Aerial Systems for System-Level Simulations
title_short A Survey of Path Loss Prediction and Channel Models for Unmanned Aerial Systems for System-Level Simulations
title_sort survey of path loss prediction and channel models for unmanned aerial systems for system-level simulations
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10222034/
https://www.ncbi.nlm.nih.gov/pubmed/37430690
http://dx.doi.org/10.3390/s23104775
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