Novel Nakagami-m Channel Model for G2A UAV Communications and Improved Security in Eavesdropping Dense Urban Environments

Evangelos Xenos; Sarmad H O Ozan; Shuping Dang; Andrew C M Austin; Mark A Beach; Simon M D Armour

doi:10.1109/GCAIoT63427.2024.10833598

Novel Nakagami-m Channel Model for G2A UAV Communications and Improved Security in Eavesdropping Dense Urban Environments

Evangelos Xenos, Sarmad H O Ozan, Shuping Dang, Andrew C M Austin, Mark A Beach, Simon M D Armour

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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Abstract

This work achieves improvement in secrecy capacity of values over 50 Mbit/s in the presence of a friendly airborne UAV where previously C₈ was less than 10Mbit/s. In addition to the C₈ estimation, a study on improving the outage probability of the network was also conducted showing that 10 times lower outages are achieved where previously 60% of the time the system was suffering from such outages. Finally, a closed-form solution is also presented for a Nakagami-m fading channel derived by the properties of a physical system based on the latest 3GPP standard, using a simulation setup for a dense urban environment using a 20MHz bandwidth signal with a center frequency of 2.4GHz with devices distanced from 50 to 650 m, aided by a UAV and in the presence of a UAV eavesdropper.

Original language	English
Title of host publication	2024 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	6
ISBN (Electronic)	9798331529413
ISBN (Print)	9798331506179
DOIs	https://doi.org/10.1109/GCAIoT63427.2024.10833598
Publication status	Published - 14 Jan 2025
Event	2024 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT) - Dubai, United Arab Emirates Duration: 19 Nov 2024 → 21 Nov 2024 https://gcaiot.org/

Publication series

Name
ISSN (Electronic)	0000-0000

Conference

Conference	2024 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)
Abbreviated title	GCAIoT 2024
Country/Territory	United Arab Emirates
City	Dubai
Period	19/11/24 → 21/11/24
Internet address	https://gcaiot.org/

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

Research Groups and Themes

Smart Internet Lab
Communication Systems and Networks

Access to Document

10.1109/GCAIoT63427.2024.10833598

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This is the accepted author manuscript (AAM) of the article which has been made Open Access under the University of Bristol's Scholarly Works Policy. The final published version (Version of Record) can be found on the publisher's website. The copyright of any third-party content, such as images, remains with the copyright holder.
Accepted author manuscript, 350 KBLicence: CC BY

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Xenos, E., Ozan, S. H. O., Dang, S., Austin, A. C. M., Beach, M. A., & Armour, S. M. D. (2025). Novel Nakagami-m Channel Model for G2A UAV Communications and Improved Security in Eavesdropping Dense Urban Environments. In 2024 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT) Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/GCAIoT63427.2024.10833598

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title = "Novel Nakagami-m Channel Model for G2A UAV Communications and Improved Security in Eavesdropping Dense Urban Environments",

abstract = "This work achieves improvement in secrecy capacity of values over 50 Mbit/s in the presence of a friendly airborne UAV where previously C8 was less than 10Mbit/s. In addition to the C8 estimation, a study on improving the outage probability of the network was also conducted showing that 10 times lower outages are achieved where previously 60% of the time the system was suffering from such outages. Finally, a closed-form solution is also presented for a Nakagami-m fading channel derived by the properties of a physical system based on the latest 3GPP standard, using a simulation setup for a dense urban environment using a 20MHz bandwidth signal with a center frequency of 2.4GHz with devices distanced from 50 to 650 m, aided by a UAV and in the presence of a UAV eavesdropper.",

author = "Evangelos Xenos and Ozan, {Sarmad H O} and Shuping Dang and Austin, {Andrew C M} and Beach, {Mark A} and Armour, {Simon M D}",

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Xenos, E, Ozan, SHO, Dang, S , Austin, ACM , Beach, MA & Armour, SMD 2025, Novel Nakagami-m Channel Model for G2A UAV Communications and Improved Security in Eavesdropping Dense Urban Environments. in 2024 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT). Institute of Electrical and Electronics Engineers (IEEE), 2024 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT), Dubai, United Arab Emirates, 19/11/24. https://doi.org/10.1109/GCAIoT63427.2024.10833598

Novel Nakagami-m Channel Model for G2A UAV Communications and Improved Security in Eavesdropping Dense Urban Environments. / Xenos, Evangelos; Ozan, Sarmad H O; Dang, Shuping et al.
2024 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT). Institute of Electrical and Electronics Engineers (IEEE), 2025.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Novel Nakagami-m Channel Model for G2A UAV Communications and Improved Security in Eavesdropping Dense Urban Environments

AU - Xenos, Evangelos

AU - Ozan, Sarmad H O

AU - Dang, Shuping

AU - Austin, Andrew C M

AU - Beach, Mark A

AU - Armour, Simon M D

PY - 2025/1/14

Y1 - 2025/1/14

N2 - This work achieves improvement in secrecy capacity of values over 50 Mbit/s in the presence of a friendly airborne UAV where previously C8 was less than 10Mbit/s. In addition to the C8 estimation, a study on improving the outage probability of the network was also conducted showing that 10 times lower outages are achieved where previously 60% of the time the system was suffering from such outages. Finally, a closed-form solution is also presented for a Nakagami-m fading channel derived by the properties of a physical system based on the latest 3GPP standard, using a simulation setup for a dense urban environment using a 20MHz bandwidth signal with a center frequency of 2.4GHz with devices distanced from 50 to 650 m, aided by a UAV and in the presence of a UAV eavesdropper.

AB - This work achieves improvement in secrecy capacity of values over 50 Mbit/s in the presence of a friendly airborne UAV where previously C8 was less than 10Mbit/s. In addition to the C8 estimation, a study on improving the outage probability of the network was also conducted showing that 10 times lower outages are achieved where previously 60% of the time the system was suffering from such outages. Finally, a closed-form solution is also presented for a Nakagami-m fading channel derived by the properties of a physical system based on the latest 3GPP standard, using a simulation setup for a dense urban environment using a 20MHz bandwidth signal with a center frequency of 2.4GHz with devices distanced from 50 to 650 m, aided by a UAV and in the presence of a UAV eavesdropper.

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M3 - Conference Contribution (Conference Proceeding)

SN - 9798331506179

BT - 2024 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 2024 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)

Y2 - 19 November 2024 through 21 November 2024

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Xenos E, Ozan SHO, Dang S , Austin ACM , Beach MA , Armour SMD. Novel Nakagami-m Channel Model for G2A UAV Communications and Improved Security in Eavesdropping Dense Urban Environments. In 2024 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT). Institute of Electrical and Electronics Engineers (IEEE). 2025 doi: 10.1109/GCAIoT63427.2024.10833598

Novel Nakagami-m Channel Model for G2A UAV Communications and Improved Security in Eavesdropping Dense Urban Environments

Abstract

Publication series

Conference

Bibliographical note

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