THz-Enabled UAV Communications Under Pointing Errors: Tractable Statistical Channel Modeling and Security Analysis

<p dir="ltr">Unmanned aerial vehicles (UAVs) are increasingly being utilized as mobile base stations for rapidly establishing temporary wireless coverage in emergency situations and remote locations. Their high mobility and flexibility make UAVs ideal for quickly deployed communicati...

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محفوظ في:
التفاصيل البيبلوغرافية
المؤلف الرئيسي: Mohammad Javad Saber (4334227) (author)
مؤلفون آخرون: Mazen Hasna (16904661) (author), Osamah S. Badarneh (22392487) (author)
منشور في: 2025
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author Mohammad Javad Saber (4334227)
author2 Mazen Hasna (16904661)
Osamah S. Badarneh (22392487)
author2_role author
author
author_facet Mohammad Javad Saber (4334227)
Mazen Hasna (16904661)
Osamah S. Badarneh (22392487)
author_role author
dc.creator.none.fl_str_mv Mohammad Javad Saber (4334227)
Mazen Hasna (16904661)
Osamah S. Badarneh (22392487)
dc.date.none.fl_str_mv 2025-03-26T12:00:00Z
dc.identifier.none.fl_str_mv 10.1109/ojvt.2025.3547244
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/THz-Enabled_UAV_Communications_Under_Pointing_Errors_Tractable_Statistical_Channel_Modeling_and_Security_Analysis/30306469
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Engineering
Communications engineering
Electrical engineering
6G
terahertz (THz) communications
unmanned aerial vehicle (UAV)
channel modeling
physical-layer security
antenna misalignment
pointing errors
backhaul links
small-scale fading
Autonomous aerial vehicles
Terahertz communications
Fading channels
Security
Millimeter wave communication
Communication systems
Terahertz radiation
Probability density function
Vibrations
Transceivers
dc.title.none.fl_str_mv THz-Enabled UAV Communications Under Pointing Errors: Tractable Statistical Channel Modeling and Security Analysis
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <p dir="ltr">Unmanned aerial vehicles (UAVs) are increasingly being utilized as mobile base stations for rapidly establishing temporary wireless coverage in emergency situations and remote locations. Their high mobility and flexibility make UAVs ideal for quickly deployed communication systems, but these features also introduce unique challenges, particularly in maintaining stable and reliable communication links. The highly directional nature of terahertz (THz) antennas introduces challenges in UAV communication systems. Combined with the mobility of UAVs, this can cause significant issues, such as beam misalignment and signal degradation. Thus, developing accurate radio channel models that address these challenges is critical to ensure reliable communication. In this study, we present an analytical framework focused on evaluating the security performance of highly directional THz-enabled UAV communication links. The challenges analyzed include misalignment of directional beams, path loss, small-scale fading, and UAV-induced vibrations. The small-scale fading is modeled using the α–μ distribution, which accurately represents various fading environments. Using the Meijer G-function, we derive closed-form expressions for key statistical functions, including the probability density function (PDF) and cumulative distribution function (CDF) of the channel gain. Furthermore, a detailed physical-layer security analysis is provided, focusing on metrics such as average secrecy capacity, secrecy outage probability, and the probability of strictly positive secrecy capacity, particularly in the presence of UAV eavesdroppers. Numerical results validate the analytical expressions under different operational conditions, such as beam misalignment and fading, providing valuable insights into the security and performance of THz-enabled UAV communication systems. These results provide important guidelines for optimizing future wireless networks using UAVs and THz frequencies to ensure secure and reliable data transmission in dynamic environments.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Open Journal of Vehicular Technology<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/ojvt.2025.3547244" target="_blank">https://dx.doi.org/10.1109/ojvt.2025.3547244</a></p>
eu_rights_str_mv openAccess
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identifier_str_mv 10.1109/ojvt.2025.3547244
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/30306469
publishDate 2025
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spelling THz-Enabled UAV Communications Under Pointing Errors: Tractable Statistical Channel Modeling and Security AnalysisMohammad Javad Saber (4334227)Mazen Hasna (16904661)Osamah S. Badarneh (22392487)EngineeringCommunications engineeringElectrical engineering6Gterahertz (THz) communicationsunmanned aerial vehicle (UAV)channel modelingphysical-layer securityantenna misalignmentpointing errorsbackhaul linkssmall-scale fadingAutonomous aerial vehiclesTerahertz communicationsFading channelsSecurityMillimeter wave communicationCommunication systemsTerahertz radiationProbability density functionVibrationsTransceivers<p dir="ltr">Unmanned aerial vehicles (UAVs) are increasingly being utilized as mobile base stations for rapidly establishing temporary wireless coverage in emergency situations and remote locations. Their high mobility and flexibility make UAVs ideal for quickly deployed communication systems, but these features also introduce unique challenges, particularly in maintaining stable and reliable communication links. The highly directional nature of terahertz (THz) antennas introduces challenges in UAV communication systems. Combined with the mobility of UAVs, this can cause significant issues, such as beam misalignment and signal degradation. Thus, developing accurate radio channel models that address these challenges is critical to ensure reliable communication. In this study, we present an analytical framework focused on evaluating the security performance of highly directional THz-enabled UAV communication links. The challenges analyzed include misalignment of directional beams, path loss, small-scale fading, and UAV-induced vibrations. The small-scale fading is modeled using the α–μ distribution, which accurately represents various fading environments. Using the Meijer G-function, we derive closed-form expressions for key statistical functions, including the probability density function (PDF) and cumulative distribution function (CDF) of the channel gain. Furthermore, a detailed physical-layer security analysis is provided, focusing on metrics such as average secrecy capacity, secrecy outage probability, and the probability of strictly positive secrecy capacity, particularly in the presence of UAV eavesdroppers. Numerical results validate the analytical expressions under different operational conditions, such as beam misalignment and fading, providing valuable insights into the security and performance of THz-enabled UAV communication systems. These results provide important guidelines for optimizing future wireless networks using UAVs and THz frequencies to ensure secure and reliable data transmission in dynamic environments.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Open Journal of Vehicular Technology<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/ojvt.2025.3547244" target="_blank">https://dx.doi.org/10.1109/ojvt.2025.3547244</a></p>2025-03-26T12:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/ojvt.2025.3547244https://figshare.com/articles/journal_contribution/THz-Enabled_UAV_Communications_Under_Pointing_Errors_Tractable_Statistical_Channel_Modeling_and_Security_Analysis/30306469CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/303064692025-03-26T12:00:00Z
spellingShingle THz-Enabled UAV Communications Under Pointing Errors: Tractable Statistical Channel Modeling and Security Analysis
Mohammad Javad Saber (4334227)
Engineering
Communications engineering
Electrical engineering
6G
terahertz (THz) communications
unmanned aerial vehicle (UAV)
channel modeling
physical-layer security
antenna misalignment
pointing errors
backhaul links
small-scale fading
Autonomous aerial vehicles
Terahertz communications
Fading channels
Security
Millimeter wave communication
Communication systems
Terahertz radiation
Probability density function
Vibrations
Transceivers
status_str publishedVersion
title THz-Enabled UAV Communications Under Pointing Errors: Tractable Statistical Channel Modeling and Security Analysis
title_full THz-Enabled UAV Communications Under Pointing Errors: Tractable Statistical Channel Modeling and Security Analysis
title_fullStr THz-Enabled UAV Communications Under Pointing Errors: Tractable Statistical Channel Modeling and Security Analysis
title_full_unstemmed THz-Enabled UAV Communications Under Pointing Errors: Tractable Statistical Channel Modeling and Security Analysis
title_short THz-Enabled UAV Communications Under Pointing Errors: Tractable Statistical Channel Modeling and Security Analysis
title_sort THz-Enabled UAV Communications Under Pointing Errors: Tractable Statistical Channel Modeling and Security Analysis
topic Engineering
Communications engineering
Electrical engineering
6G
terahertz (THz) communications
unmanned aerial vehicle (UAV)
channel modeling
physical-layer security
antenna misalignment
pointing errors
backhaul links
small-scale fading
Autonomous aerial vehicles
Terahertz communications
Fading channels
Security
Millimeter wave communication
Communication systems
Terahertz radiation
Probability density function
Vibrations
Transceivers