Active-Reconfigurable-Repeater-Assisted NOMA Networks in Internet of Things: Reliability, Security, and Covertness

In this article, we describe a novel active reconfigurable repeater-aided nonorthogonal multiple access networks within the context of the Internet of Things. The study focuses on a scenario, where a source simultaneously transmits public information to an untrusted user and a covert signal to a legitimate user in the surveillance of an external warden or eavesdropper. We develop comprehensive analytical and optimization frameworks to evaluate the reliability, security, and covertness of the proposed system’s performance, measuring three respective key metrics: 1) outage probability (OP); 2) secrecy OP (SOP); and 3) detection error probability (DEP). First, we derive exact closed-form and asymptotic expressions for OP, SOP in internal and external eavesdropping scenarios, and DEP in external monitoring situations. Based on an asymptotic analysis of the OP, we propose two optimization methods for power allocation (PA) to achieve fairness in outage among users: 1) a convex approximation method and 2) an approximate closed-form solution. We then introduce an alternative method for optimizing PA to improve SOP in both eavesdropping scenarios while maintaining minimal OP requirements. In addition, we propose an effective approach for determining the warden’s detection threshold to minimize the DEP, with low complexity and fast convergence, thereby improving communications covertness. Finally, we validate the theoretical and optimization frameworks through extensive Monte Carlo simulations, exploring the impact of key system parameters on each performance metric.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2024-11-25
DOI
https://doi.org/10.1109/jiot.2024.3503278
Citations
14
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
4.88
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article

Active-Reconfigurable-Repeater-Assisted NOMA Networks in Internet of Things: Reliability, Security, and Covertness

Thai-Hoc Vu, Anh‐Tu Le, Lam‐Thanh Tu, Miroslav Vozn̆ák et al.
14 citations
IEEE Internet of Things Journal
IoT and Edge/Fog Computing
4.88
article

Active-Reconfigurable-Repeater-Assisted NOMA Networks in Internet of Things: Reliability, Security, and Covertness

Thai-Hoc Vu, Anh‐Tu Le, Lam‐Thanh Tu, Miroslav Vozn̆ák, Ngo Hoang Tu, Tan N. Nguyen
article en
14 citations

Abstract

In this article, we describe a novel active reconfigurable repeater-aided nonorthogonal multiple access networks within the context of the Internet of Things. The study focuses on a scenario, where a source simultaneously transmits public information to an untrusted user and a covert signal to a legitimate user in the surveillance of an external warden or eavesdropper. We develop comprehensive analytical and optimization frameworks to evaluate the reliability, security, and covertness of the proposed system’s performance, measuring three respective key metrics: 1) outage probability (OP); 2) secrecy OP (SOP); and 3) detection error probability (DEP). First, we derive exact closed-form and asymptotic expressions for OP, SOP in internal and external eavesdropping scenarios, and DEP in external monitoring situations. Based on an asymptotic analysis of the OP, we propose two optimization methods for power allocation (PA) to achieve fairness in outage among users: 1) a convex approximation method and 2) an approximate closed-form solution. We then introduce an alternative method for optimizing PA to improve SOP in both eavesdropping scenarios while maintaining minimal OP requirements. In addition, we propose an effective approach for determining the warden’s detection threshold to minimize the DEP, with low complexity and fast convergence, thereby improving communications covertness. Finally, we validate the theoretical and optimization frameworks through extensive Monte Carlo simulations, exploring the impact of key system parameters on each performance metric.

IEEE Internet of Things JournalVol. 12(7)
Seoul National University of Science and Technology (KR), Ton Duc Thang University (VN), VSB - Technical University of Ostrava (CZ), University of Ulsan (KR)
Openalex Percentile: Top 4%
IoT and Edge/Fog Computing
4.88
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