Secure Communication in NOMA-Assisted Millimeter-Wave SWIPT UAV Networks

Sun, Xiaoli; Yang, Weiwei; Cai, Yueming

doi:10.1109/jiot.2019.2957021

Cited by 104 publications

(56 citation statements)

References 37 publications

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“…The work in [39] proposes a joint precoding optimization scheme for secure simultaneous wireless information and power transfer (SWIPT) in UAV-aided NOMA networks, where artificial jamming is generated at UAV to guarantee the security. In [40], a framework is proposed to study the security, reliability, and energy coverage performance of millimeter-wave (mmWave) SWIPT UAV networks for both OMA and NOMA schemes. For a UAV-relaying system with local caching, the work in [41] studies the joint optimization of the UAV trajectory and time scheduling to secure the transmission.…”

Section: B Related Work 1) Terrestrial Networkmentioning

confidence: 99%

Cognitive NOMA for UAV-Enabled Secure Communications: Joint 3D Trajectory Design and Power Allocation

Tang

2020

IEEE Access

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In the paper, we investigate the physical layer security (PLS) of an unmanned aerial vehicle (UAV) enabled communication system that integrates non-orthogonal multiple access (NOMA) with cognitive radio (CR), namely CR-NOMA. Specifically, the secondary UAV transmits confidential information to multiple secondary legitimate receivers with NOMA by sharing the spectrum with the primary networks, while an eavesdropper (Eve) attempts to wiretap the communication. We aim to jointly optimize the three-dimensional (3D) UAV trajectory and power allocation to maximize the worst-case average secrecy sum rate of all secondary receivers (SRs) while keeping the interference to primal receivers (PRs) below a certain threshold. The formulated problem is mixed-binary non-convex and is generally NP-hard. To address this issue, we first equivalently transform the binary variables into continuous ones by introducing tractable inequality constraints. Then, we decompose the optimization problem into two subproblems and develop an efficient iterative algorithm based on the successive convex approximate (SCA) technique, block coordinate descent (BCD) technique, and penalty function method. Numerical results are extensively studied to show that the proposed joint design significantly outperforms the benchmark schemes in terms of secrecy rate. INDEX TERMS UAV communications, physical layer security, NOMA, cognitive radio, 3D trajectory design, power allocation.

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Section: B Related Work 1) Terrestrial Networkmentioning

confidence: 99%

Cognitive NOMA for UAV-Enabled Secure Communications: Joint 3D Trajectory Design and Power Allocation

Tang

2020

IEEE Access

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“…Besides [8]- [11], many efforts have been devoted to study the secrecy performance for mmWave networks recently, such as [22]- [26]. In [22], the secrecy performance for the mmWave network was analyzed systematically, where the locations of eavesdroppers and base stations were modeled as two independent homogeneous poisson point processes by using stochastic geometry theory.…”

Section: Introductionmentioning

confidence: 99%

Resource Management for Maximizing the Secure Sum Rate in Dense Millimeter-Wave Networks

2020

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Due to the densifying of users and the reflections caused by small-scale objects, secure communication is an important research problem in dense millimeter-wave (mmWave) networks. In this paper, we investigate the resource management problem of joint transmission reception point (TRP) selection, power control and beamwidth selection for maximizing the secure sum rate in the dense mmWave network, while considering beamforming training overheads, blockage effect in mmWave communications, and imperfect channel state information (CSI) from a legitimate user equipment (LUE) to the corresponding malicious user equipment (MUE). To handle the problem with low complexity, we first break it down into two subproblems (i.e., TRP selection and joint power control and beamwidth allocation), and propose a two-stage game based decentralized resource management approach to solve them iteratively, where in the first stage we propose a matching game based distributed TRP selection algorithm to solve the first subproblem in which novel utilities for both LUEs and TRPs are designed to handle the high directivity transmission problem, and in the second stage we propose a weekly acyclic game based two-dimensionalstrategy concurrent better response algorithm for the second subproblem to deal with the huge strategy space, which has been proved to converge to an invariant two-dimensional-strategy Nash equilibrium (NE). Moreover, to adapt to the three-dimensional optimization variables and the huge strategy space of the considered problem, we also propose a new three-dimensional-strategy iterative weekly acyclic game to solve it, where the three-dimensional optimization variables are optimized alternately during the decisionmaking process. Finally, extensive simulations are conducted to verify the effectiveness of the proposed schemes. INDEX TERMS Millimeter-wave (mmWave) communication, resource management, game theory, secure sum rate.

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“…Inspired by the advantage of SWIPT, more and more researchers and scientists are attempting to adopt the SWIPT technique to UAV-enabled relay system for improving performance [28][29][30]. In [28], Wang et al provided a UAV-enable nonorthogonal multiple access (NOMA) relay system with SWIPT, where the nonlinear energy harvesting model was considered.…”

Section: Introductionmentioning

confidence: 99%

“…[29] considered the throughput maximization problem in a UAV relay system with time-sharing mechanism, where the UAV relay is capable of SWIPT. In [30], the authors investigated a millimeter-wave UAV relay system with SWIPT to improve the secrecy performance, and the security rate of NOMA and orthogonal multiple access (OMA) were derived. However, the robust beamforming and SWIPT design for UAV-enabled relay system, where the UEs are capable of PS scheme, has not been well addressed.…”

Section: Introductionmentioning

confidence: 99%

Design and Optimization for Uav-enabled Two-way Relaying System With Swipt

Wang

Wang²,

Chen

et al. 2020

Preprint

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In this paper, we investigate the resource allocation scheme for an unmanned-aerial-vehicle-enable (UAV-enabled) two-way relaying system with simultaneous wireless information and power transfer (SWIPT), where two user equipments (UEs) exchange information with the help of UAV relay and harvest energy through power splitting (PS) scheme. Under the transmission power constraints at UEs and UAV relay, a non-convex intractable optimization problem is formulated which maximizes the sum retained energy of two UEs while satisfying the minimum signal-to-noise ratio requirement. We decouple the complicated beamforming and PS factors optimization problem into three solvable subproblems and propose an efficient alternating optimization scheme. Subsequently, in order to reduce the complexity, a robust scheme based on generalized singular value decomposition (GSVD) is designed. Finally, numerical results verify the robustness and effectiveness of two proposed schemes.

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Secure Communication in NOMA-Assisted Millimeter-Wave SWIPT UAV Networks

Cited by 104 publications

References 37 publications

Cognitive NOMA for UAV-Enabled Secure Communications: Joint 3D Trajectory Design and Power Allocation

Cognitive NOMA for UAV-Enabled Secure Communications: Joint 3D Trajectory Design and Power Allocation

Resource Management for Maximizing the Secure Sum Rate in Dense Millimeter-Wave Networks

Design and Optimization for Uav-enabled Two-way Relaying System With Swipt

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