Performance Analysis of an Energy-Harvesting IoT System Using a UAV Friendly Jammer and NOMA Under Cooperative Attack

Vo, Van Nhan; So-In, Chakchai; Tran, Hung; Tran, Duc-Dung; Huu, Tung Pham

doi:10.1109/access.2020.3044760

Cited by 17 publications

(11 citation statements)

References 65 publications

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“…The second direction lies in EH. Recently, to enhance of the wireless communication networks in term of the EE, RF signals have been evaluated as viable new sources to implement EH as recent works in [29,30,31,32,33,34]. Motivated by these approaches, we design linear EH in the perspective of HetNet manner.…”

Section: A Related Work and Motivationmentioning

confidence: 99%

Exploiting Impacts of Antenna Selection and Energy Harvesting for Massive Network Connectivity

Nguyen

Al‐Rubaye

et al. 2021

IEEE Trans. Commun.

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As a new energy saving approach for green communications, energy harvesting (EH) could be suitable technique to facilitate massive connections for large number of devices in such networks. The spectrum shortage occurs in huge number of devices which access with small-cell and macro-cell networks. To tackle these challenges, we develop a tractable framework relying on prominent techniques such as non-orthogonal multiple access (NOMA), antenna selection and energy harvesting. In this paper, we aim at practical scenarios of small cell networks by jointly evaluating capable of interference management and EH. We benefit from transmission approaches including full duplex (FD) and bi-directional transmission to improve the main performance system metrics such as outage probability and throughput. Three useful schemes are explored by considering EH and inter-cell interference. We derive the closed-form and asymptotic expressions for system metrics. We then perform extensive simulations with different system configurations to confirm the effectiveness of the proposed small-cell NOMA systems.

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Section: A Related Work and Motivationmentioning

confidence: 99%

Exploiting Impacts of Antenna Selection and Energy Harvesting for Massive Network Connectivity

Nguyen

Al‐Rubaye

et al. 2021

IEEE Trans. Commun.

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“…Lowpower designs are frequently employed for most IDs, resulting in restricted transmission coverage. Since unmanned aerial vehicles (UAVs) are easy to deploy, have high degrees of mobility, and have a low operating costs, they can be used to relay data from IDs to MEC servers [11]- [14]. Therefore, UAVs have emerged as one of the most essential technologies for establishing flexible MEC in IoT networks at any time and in any location [15]- [17].…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, we consider that UR and IDs can harvest RF energy from a PB [33] to improve the data offloading process. In addition, we consider UR communications via Line-of-Sight (LoS) and non-Line-of-Sight (NLoS) links [11], [14], as well as the Nakagami-m fading channel [13]. Furthermore, we investigate the performance of UR NOMA-based MEC systems in practical cases of ICSI at receiver nodes and ISIC [34].…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis and Optimization for IoT Mobile Edge Computing Networks With RF Energy Harvesting and UAV Relaying

Nguyen

et al. 2022

IEEE Access

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This paper studies unmanned aerial vehicle (UAV)-aided nonorthogonal multiple access (NOMA)-based mobile-edge computing (MEC) in Internet of Things (IoT) systems in which the UAV acts as relay (UR). Specifically, we consider a scenario with two cluster IoT devices (IDs) (i.e., a high-priority cluster IA and a low-priority cluster IB) with limited resources, so these IDs cannot compute their tasks and must offload them to a base station (BS) through UR. We propose a protocol named time switching -radio frequency (RF) energy harvesting (EH) UR NOMA (REUN) (TS-REUN), which is divided into 5 phases. By applying the TS-REUN protocol, the IDs in two clusters and UR harvest RF energy from the broadcasting signal of the power beacons (PB). Then, the IDs offload their tasks to the MEC server located at the BS. After server processing, the IDs receive the calculation results from the BS via UR. The effects of both imperfect channel state information (ICSI) and imperfect successive interference cancellation (ISIC) on the REUN-based MEC (REUN-MEC) are taken into account. To evaluate the performance of the system, we derive closed-form expressions for the successful computation probability (SCP) and energy consumption probability (ECP) under the Nakagami-m fading channel. Moreover, we propose an optimization problem formulation that aims to maximize SCP by optimizing the position and height of UR and the time switching ratio (TSR). The problem is addressed by employing an algorithm based on particle swarm optimization (PSO). In addition, the Monte Carlo simulation results are presented to confirm the accuracy of our analysis based on system performance simulations with various system parameters, such as the number of antennas at the BS, the number of IDs in each cluster, TSR, and the position and height of UR.INDEX TERMS Internet of Things, unmanned aerial vehicles, energy harvesting, nonorthogonal multiple access, mobile-edge computing.

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“…Although wireless networks offer a huge number of advantages such as mobility, flexibility, scalability, lower cost and less delay for installation and updating, wireless transmissions are more vulnerable to jamming attacks due to the inherent open nature of wireless communication [17]- [19]. In fact, jamming and also co-operative attacks can severely interrupt legitimate ongoing transmissions.…”

Section: Introductionmentioning

confidence: 99%

“…However, there are rather few previous studies on anti jamming attacks and how they affect the outage performance, especially in networks relying on power allocation and channel estimation like NOMA. In [19], [30], a cooperative attack between a malicious jammer and an eavesdropper is introduced in the context that the locations of all nodes are fixed. However, these works do not show how to choose the power allocation while dealing with the jamming attack to maximize the communication reliability.…”

Section: Introductionmentioning

confidence: 99%

Defeating Jamming Using Outage Performance Aware Joint Power Allocation and Access Point Placement in Uplink Pairwise NOMA

Dao

Hoang

Girs

et al. 2021

IEEE Open J. Commun. Soc.

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In this paper, an uplink pairwise Non-Orthogonal Multiple Access (NOMA) scenario using a mobile access point (AP) or an unmanned aerial vehicle in the presence of a jamming attack is considered. To mitigate the influence of the jamming attack, a joint power allocation and AP placement design is proposed. Accordingly, closed-form expressions of the overall outage probability (OOP) and the individual outage probability (IOP) considering imperfect channel state information for each of the source nodes the AP serves, are derived over Nakagami-m fading channels using dynamic decoding order and fixed pairwise power allocation. We conduct an investigation of the effect of different parameters such as power allocation, source node placements, AP placement, target rates, and jammer location on the OOP and the IOP performance. By adapting the power allocation and the AP placement to the jamming attack, the communication reliability can be increased significantly compared to neglecting the presence of the jammer or treating the jammer as noise. Since the malicious jammer and the AP have conflicting interests in terms of communication reliability, we formulate a non-cooperative game for the two players considering their positions and the power allocation of the NOMA nodes as their strategies and the OOP as utility function. We propose using hybrid simulated annealing -greedy algorithms to address the joint power allocation and AP placement problem for the cases of both a fixed and a mobile jammer. Finally, the Nash equilibrium points are obtained and then the UAV goes directly to this position and keeps staying there to save power consumption.

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Performance Analysis of an Energy-Harvesting IoT System Using a UAV Friendly Jammer and NOMA Under Cooperative Attack

Cited by 17 publications

References 65 publications

Exploiting Impacts of Antenna Selection and Energy Harvesting for Massive Network Connectivity

Exploiting Impacts of Antenna Selection and Energy Harvesting for Massive Network Connectivity

Performance Analysis and Optimization for IoT Mobile Edge Computing Networks With RF Energy Harvesting and UAV Relaying

Defeating Jamming Using Outage Performance Aware Joint Power Allocation and Access Point Placement in Uplink Pairwise NOMA

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