Effect of Phase Shift Errors on the Security of UAV-assisted STAR-RIS IoT Networks

Fuente: arXiv
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Hauptverfasser: Gusaibat, Mustafa, Hnaish, Mohammed, Salem, Abdelhamid, Rabie, Khaled, Fadlullah, Zubair Md, Khan, Wali Ullah, Alawad, Mohamad A., Alkhrijah, Yazeed
Format: Preprint
Veröffentlicht: 2025
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author Gusaibat, Mustafa
Hnaish, Mohammed
Salem, Abdelhamid
Rabie, Khaled
Fadlullah, Zubair Md
Khan, Wali Ullah
Alawad, Mohamad A.
Alkhrijah, Yazeed
author_facet Gusaibat, Mustafa
Hnaish, Mohammed
Salem, Abdelhamid
Rabie, Khaled
Fadlullah, Zubair Md
Khan, Wali Ullah
Alawad, Mohamad A.
Alkhrijah, Yazeed
contents Unmanned aerial vehicles (UAV)-mounted simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) systems can provide full-dimensional coverage and flexible deployment opportunities in future 6G-enabled IoT networks. However, practical imperfections such as jittering and airflow of UAV could affect the phase shift of STAR-RIS, and consequently degrade network security. In this respect, this paper investigates the impact of phase shift errors on the secrecy performance of UAV-mounted STAR-RIS-assisted IoT systems. More specifically, we consider a UAV-mounted STAR-RIS-assisted non-orthogonal multiple access (NOMA) system where IoT devices are grouped into two groups: one group on each side of the STAR-RIS. The nodes in each group are considered as potential Malicious nodes for the ones on the other side. By modeling phase estimation errors using a von Mises distribution, analytical closed-form expressions for the ergodic secrecy rates under imperfect phase adjustment are derived. An optimization problem to maximize the weighted sum secrecy rate (WSSR) by optimizing the UAV placement is formulated and is then solved using a linear grid-based algorithm. Monte Carlo simulations are provided to validate the analytical derivations. The impact of phase estimation errors on system's secrecy performance is analyzed, providing critical insights for the practical realisation of STAR-RIS deployments for secure UAV-enabled IoT networks.
format Preprint
id arxiv_https___arxiv_org_abs_2508_12114
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Effect of Phase Shift Errors on the Security of UAV-assisted STAR-RIS IoT Networks
Gusaibat, Mustafa
Hnaish, Mohammed
Salem, Abdelhamid
Rabie, Khaled
Fadlullah, Zubair Md
Khan, Wali Ullah
Alawad, Mohamad A.
Alkhrijah, Yazeed
Signal Processing
Unmanned aerial vehicles (UAV)-mounted simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) systems can provide full-dimensional coverage and flexible deployment opportunities in future 6G-enabled IoT networks. However, practical imperfections such as jittering and airflow of UAV could affect the phase shift of STAR-RIS, and consequently degrade network security. In this respect, this paper investigates the impact of phase shift errors on the secrecy performance of UAV-mounted STAR-RIS-assisted IoT systems. More specifically, we consider a UAV-mounted STAR-RIS-assisted non-orthogonal multiple access (NOMA) system where IoT devices are grouped into two groups: one group on each side of the STAR-RIS. The nodes in each group are considered as potential Malicious nodes for the ones on the other side. By modeling phase estimation errors using a von Mises distribution, analytical closed-form expressions for the ergodic secrecy rates under imperfect phase adjustment are derived. An optimization problem to maximize the weighted sum secrecy rate (WSSR) by optimizing the UAV placement is formulated and is then solved using a linear grid-based algorithm. Monte Carlo simulations are provided to validate the analytical derivations. The impact of phase estimation errors on system's secrecy performance is analyzed, providing critical insights for the practical realisation of STAR-RIS deployments for secure UAV-enabled IoT networks.
title Effect of Phase Shift Errors on the Security of UAV-assisted STAR-RIS IoT Networks
topic Signal Processing
url https://arxiv.org/abs/2508.12114