On Secrecy Analysis of UAV-Enabled Relaying NOMA Systems with RF Energy Harvesting

Nguyen, Anh-Nhat; Ha, Dac‐Binh; Truong, Van-Truong; So-In, Chakchai; Aimtongkham, Phet; Sakunrasrisuay, Chinapat; Punriboon, Chatchai

doi:10.1007/978-3-031-08878-0_19

Cited by 8 publications

(2 citation statements)

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“…Under Nakagami-m fading, the channel statistics for the IDs and eavesdropper are analyzed. From (25), the CDF of the SINR from I m * to B can be written as shown in (30) at the top of the next page, where…”

Section: Performance Analysismentioning

confidence: 99%

“…Wireless information security faces significant difficulties as a result of the broadcast nature of wireless channels and the numerous applications of this communication technology [24], [25]. An appealing strategy for boosting information security is physical layer security (PLS), which exploits the inherent properties of wireless channels to ensure that an eavesdropper cannot obtain any useful information about the legitimate information being transmitted in the physical layer [26], [27].…”

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confidence: 99%

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Secrecy Performance Analysis and Optimization for UAV-Relay-Enabled WPT and Cooperative NOMA MEC in IoT Networks

Nguyen,

Ha,

Truong

et al. 2023

IEEE Access

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This paper investigates a system for unmanned aerial vehicle (UAV)-enabled wireless power transfer (WPT) and non-orthogonal multiple access (NOMA) mobile edge computing (MEC) in the Internet of Things (IoT) UWNMI, wherein a UAV equipped with an energy transmitter (ET) acts as a relay. In particular, we consider a situation involving two clusters of IoT devices (IDs) that have limited resources and therefore are unable to compute their own tasks and must instead offload them to a base station (BS) via the UAV relay (UR) in the presence of a passive eavesdropper. In the UWNMI system, the effects of imperfect channel state information (ICSI) and imperfect successive interference cancellation (ISIC) are considered, along with the usage of artificial noise (AN) to improve the physical layer security (PLS) of the system. We derive closed-form expressions for the successful computation probability (SCP) and secrecy outage probability (SOP) under the Nakagami-m fading channel model in order to evaluate the performance of the system. Moreover, we present optimization problems with the objectives of optimizing the position and height of the UR, the time switching ratio (TSR), and the power allocation for the AN in order to maximize the SCP and minimize the SOP. These problems are solved using a particle swarm optimization (PSO)based algorithm. In addition, Monte Carlo simulation results are presented to validate the accuracy of our analysis based on simulations of the system performance under different values of the system parameters, including the number of antennas at the BS, the number of IDs in each cluster, the TSR, and the position and height of the UR.INDEX TERMS Internet of Things, unmanned aerial vehicles, energy harvesting, wireless power transfer, non-orthogonal multiple access, mobile edge computing, physical layer security. I. INTRODUCTIONRecent developments in Internet of Things (IoT) technology have inspired a multitude of unique applications, including intelligent grazing, autonomous control, and environmental monitoring [1]- [4]. For an IoT system to collect environmental data, many IoT devices (IDs) must be dis-tributed. Typically, these IDs are powered by limited-capacity batteries that must be routinely updated or recharged. Radio frequency (RF)-signal-based wireless power transfer (WPT), also known as RF energy harvesting (EH), has been widely acknowledged as a promising solution for powering lowpower IDs autonomously, thereby eliminating the need to

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Section: Performance Analysismentioning

confidence: 99%

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confidence: 99%