Performance Analysis in UAV-enabled Relay with NOMA under Nakagami-m Fading Considering Adaptive Power Splitting

Nguyen, Anh-Nhat; Vo, Van Nhan; So-In, Chakchai; Ha, Dac‐Binh; Truong, Van-Truong

doi:10.1109/jcsse53117.2021.9493850

Cited by 14 publications

(4 citation statements)

References 19 publications

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“…Caceres et al have formulated a framework to study the probability of success for secondary user in a cognitive radio UL NOMA. 33 Recently several works has been done on UAV-assisted EH-NOMA network, [34][35][36][37][38] with UAV acting as a relay. Ji et al 34 have analyzed system outage and system throughput of multiple UAV relays' assisted network in the Internet of Things (IoT) systems enhanced with EH.…”

Section: Background and Motivationmentioning

confidence: 99%

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Outage and ergodic capacity analysis of a full‐duplex energy‐harvesting cooperative non‐orthogonal multiple access network

Baranwal,

Dhar Roy,

Kundu

2024

Int J Communication

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SummaryThis paper considers a dual‐hop cooperative relay‐based communication with uplink (UL) and downlink (DL) non‐orthogonal multiple access (NOMA), where communication between sources to destinations takes place parallelly in the same frequency band over a Rayleigh fading channels. The energy harvesting (EH)‐based full‐duplex (FD) relay helps in forwarding the message from the source node to the destination node via superposition coding, thus calling it a multiple sources full‐duplex energy‐harvesting cooperative relay NOMA (MS‐FD‐EH‐CR‐NOMA) system. Early works focus on EH from one source node or a dedicated power station. In this article, the communication between sources and destinations occurs in two slots where first slot deals with energy harvesting while in second slot information transmission occurs. We studied the effect of imperfect successive interference cancellation (ipSIC) and residual self‐interference (RSI) in decoding the message at the relay and the destinations. We derived the closed‐form expressions for the outage probability of each pair and the system outage probability of the MS‐FD‐EH‐CR‐NOMA system. Next, we derive the closed‐form expressions of ergodic capacity under Rayleigh distributed fading channels. Further, numerical results are validated by its simulation results using Monte Carlo simulations in MATLAB. The results obtained through this work are a good step towards designing multiple source–destination communication using NOMA and EH relay.

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Section: Background and Motivationmentioning

confidence: 99%

“…Recently several works has been done on UAV‐assisted EH‐NOMA network, 34–38 with UAV acting as a relay. Ji et al 34 have analyzed system outage and system throughput of multiple UAV relays' assisted network in the Internet of Things (IoT) systems enhanced with EH.…”

Section: Introductionmentioning

confidence: 99%

Outage and ergodic capacity analysis of a full‐duplex energy‐harvesting cooperative non‐orthogonal multiple access network

Baranwal,

Dhar Roy,

Kundu

2024

Int J Communication

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“…We assume that once the appropriate position for the UR has been determined, the UR will hover at that position to perform energy transfer and information relaying [48], and that E is a passive eavesdropper that eavesdrops only on information directly from U [49]. Due to the high density of obstacles in urban environments, there are assumed to be no direct connections between B and the IDs [23], [50]. To avoid any confusion, the notations that will be used throughout the remainder of this paper are listed in TABLE 1.…”

Section: A System Modelmentioning

confidence: 99%

“…By substituting ( 16) and ( 19) into (25), we can rewrite the CDF of the end-to-end SINR from I m * to B as . The integrals in (50) are solved by applying the Gaussian-Chebyshev quadrature method [67]. The proof of the CDF of the endto-end SINR γ e2e m * is complete.…”

Section: Appendix a Proof Of Propositionmentioning

confidence: 99%

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

Nguyen

Truong

et al. 2022

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Performance Analysis in UAV-enabled Relay with NOMA under Nakagami-m Fading Considering Adaptive Power Splitting

Cited by 14 publications

References 19 publications

Outage and ergodic capacity analysis of a full‐duplex energy‐harvesting cooperative non‐orthogonal multiple access network

Outage and ergodic capacity analysis of a full‐duplex energy‐harvesting cooperative non‐orthogonal multiple access network

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

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

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