Reliability and Fairness for UAV Communication Based on Non-Orthogonal Multiple Access

Dao, Van-Lan; Tran, Hung; Girs, Svetlana; Uhlemann, Elisabeth

doi:10.1109/iccw.2019.8757160

Cited by 16 publications

(17 citation statements)

References 18 publications

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“…In the presented results, we aim at narrowing our variable's domains in order to illustrate the overall tendency of our metrics through exhaustive Monte Carlo simulations, as well as validating the derived expressions. The values for environmental and link constants used can be found in [12], and [13] and are ψ = 9.61, ω = 0.16, α = 0.3, α j = 0.3, η NLoS = 20 and η LoS = 1 for Urban scenario, which we will be considering. We fix the position of Alice at point (0, 0) without loss of generality and place Bob at distance d AB from Alice along the x axis, at point (d AB , 0), so the cylindrical coordinates of both jammers become (R J , θ J1 , z J1 ) and (R J , θ J2 , z J2 ) with the reference starting from the left of A, θ J1 opening clockwise and θ J2 counterclockwise as is illustrated in Fig.…”

Section: Numerical Results and Discussionmentioning

confidence: 99%

Weighted Secrecy Coverage Analysis and the Impact of Friendly Jamming over UAV-Enabled Networks

Cabezas

Osorio

2021

2021 Joint European Conference on Networks and Communications &Amp; 6G Summit (EuCNC/6G Summit)

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In 5G and beyond networks, Unmanned Aerial Vehicles (UAV) are an attractive solution to enhance the secrecy of a wireless systems by exploiting their predominant LOS links and spacial manoeuvrability to introduce a friendly jamming. In this work, we investigate the impact of two cooperative UAVbased jammers on the secrecy performance of a ground wireless wiretap channel by considering secrecy-area related metrics, the jamming coverage and jamming efficiency. Moreover, we propose a hybrid metric, the so-called Weighted Secrecy Coverage (WSC) that can be used as a metric for gaining insights on the optimal deployments of the UAV jammers to provide the best exploration of jamming signals. For evaluating these metrics, we derive a closed-form position-based metric, the secrecy improvement, and propose an analogous computationally simpler metric. Our simulations show that a balanced power allocation between the two UAVs leads to the best performances, as well as a symmetrical positioning behind the line of sight between the legitimate transmitter and receiver. Moreover, there exist an optimal UAV height for the jammers. Finally, we propose a suboptimal and simpler problem for the maximisation of the WSC.

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Section: Numerical Results and Discussionmentioning

confidence: 99%

Weighted Secrecy Coverage Analysis and the Impact of Friendly Jamming over UAV-Enabled Networks

Cabezas

Osorio

2021

2021 Joint European Conference on Networks and Communications &Amp; 6G Summit (EuCNC/6G Summit)

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“…where ϕ and ψ are constants that depend on the environment (rural, urban, or dense urban) [40], [41]. Correspondingly, the probability of the k-th EAV experiencing a NLoS connection is formulated as P NLoSk = 1 − P LoSk .…”

Section: A System Model and Channel Assumptionsmentioning

confidence: 99%

“…Next, by applying [68, (3.310.11)] to solve the above integral, we obtain (41). Furthermore, by substituting (21) into O (n) 2 , the second term in the probability expression given in ( 52) can be expressed as…”

Section: Appendix D Proof Of Lemmamentioning

confidence: 99%

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

So-In

Tran

et al. 2020

IEEE Access

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In this paper, we consider the information leakage and outage probabilities of a multipleinput single-output (MISO) energy-harvesting (EH) Internet of Things (IoT) system in which a multiantenna ground base station (GBS) transmits messages to legitimate IoT destinations (LIDs) with the help of IoT relays (IRs) using non-orthogonal multiple access (NOMA) in the presence of a malicious jammer (MJ) and eavesdroppers (EAVs). The communication protocol is separated into two phases. In the EH phase, the IRs harvest energy from a power beacon (PB). In the information transmission (IT) phase, the communication process is further divided into two subphases: 1) The GBS broadcasts signals to the IRs using NOMA. Simultaneously, the MJ sends interfering signals to attack the IRs while the EAVs steal the confidential signals from the GBS, in a process called a cooperative attack. On the other hand, to protect the legitimate communication, an unmanned aerial vehicle (UAV) is used as a friendly jammer to defend against the EAVs. 2) A selected IR employs the time-switching-based relaying (TSR) technique to forward the received signal to the LIDs using NOMA. Similar to the first subphase, the LIDs are subjected to a cooperative attack, and the UAV attacks the EAVs in return. The secrecy performance of this communication protocol is characterized by deriving expressions for the information leakage probabilities (ILPs) for the LIDs' signals. A UAV altitude optimization algorithm is also proposed to achieve the best possible secrecy performance. Furthermore, we evaluate the system performance by deriving closed-form expressions for the outage probabilities (OPs). Accordingly, an algorithm is proposed to guarantee both the secrecy and system performance (in terms of the ILPs and OPs). Monte Carlo simulations are presented to verify our analytical results. INDEX TERMSCooperative attack, Energy harvesting, Information leakage probability, Internet of Things, NOMA, UAV friendly jammer.

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“…Because of the high mobility, flexible deployment and line-ofsight (LoS) channels of unmanned aerial vehicle (UAV), UAV aided B5G technologies have attracted increasing attentions from both academia, and industry [28]- [32]. Specifically, there are many existing works about integrating NOMA into UAV aided communication systems to improve the throughput of the systems, mainly focusing on optimal UAV deployment, optimal user paring strategy, optimal sub-channel allocation scheme and fair control for different users [33]- [35]. In [33], a mobile UAV based downlink NOMA model was considered, and then UAV trajectory design and resource allocation in NOMA are jointly optimized to maximize the capacity of the system.…”

mentioning

confidence: 99%

“…M. T. Nguyen et al [34] also considered a single UAV based downlink NOMA system, and optimized the user pairing, power allocation, and UAV placement to maximize the minimum sum rate for individual user pair. The communication reliability and fairness among users for a single-UAV aided downlink NOMA cell system was investigated in [35] by optimizing the UAV's altitude and the users' power allocation coefficients. The maximum stable throughput of a single-UAV based uplink NOMA cell system was investigated by [26], in terms of the altitude and bandwidth of the UAV.…”

mentioning

confidence: 99%

Multiple Unmanned-Aerial-Vehicles Deployment and User Pairing for Nonorthogonal Multiple Access Schemes

Wang

Liu

Sun

et al. 2021

IEEE Internet Things J.

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Non-orthogonal multiple access (NOMA) significantly improves the connectivity opportunities and enhances the spectrum efficiency (SE) in the fifth generation and beyond (B5G) wireless communications. Meanwhile, emerging B5G services demand of higher SE in the NOMA based wireless communications. However, traditional ground-to-ground (G2G) communications are hard to satisfy these demands, especially for the cellular uplinks. To solve these challenges, this paper proposes a multiple unmanned aerial vehicles (UAVs) aided uplink NOMA method. In detail, multiple hovering UAVs relay data for a part of ground users (GUs) and share the subchannels with the left GUs that communicate with the base station (BS) directly. Furthermore, this paper proposes a Kmeans clustering based UAV deployment and location based user pairing scheme to optimize the transceiver association for the multiple UAVs aided NOMA uplinks. Finally, a sum power minimization based resource allocation problem is formulated with the lowest quality of service (QoS) constraints. We solve it with the message-passing algorithm and evaluate the superior performances of the proposed scheduling and paring schemes on SE and energy efficiency (EE). Extensive experiments are conducted to compare the performances of the proposed schemes with those of the single UAV aided NOMA uplinks, G2G based NOMA uplinks, and the proposed multiple UAVs aided uplinks with a random UAV deployment. Simulation results demonstrate that the proposed multiple UAVs deployment and user pairing based NOMA scheme significantly improves the EE and the SE of the cellular uplinks at the cost of only a little relaying power consumption of the UAVs. Index Terms-Unmanned aerial vehicle (UAV), non-orthogonal multiple access, UAV deployment, user pairing, energy efficiency, spectrum efficiency. I. INTRODUCTIONUbiquitous connectivity with ultra-high spectrum efficiency and system throughput is one of the crucial requirements for

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Reliability and Fairness for UAV Communication Based on Non-Orthogonal Multiple Access

Cited by 16 publications

References 18 publications

Weighted Secrecy Coverage Analysis and the Impact of Friendly Jamming over UAV-Enabled Networks

Weighted Secrecy Coverage Analysis and the Impact of Friendly Jamming over UAV-Enabled Networks

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

Multiple Unmanned-Aerial-Vehicles Deployment and User Pairing for Nonorthogonal Multiple Access Schemes

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