Alternating iterative secure structure between beamforming and power allocation for UAV-aided directional modulation networks

Shu, Feng; Lu, Zaoyu; Lin, Jiming; Sun, Li; Zhou, Xiaobo; Liu, Tingting; Zhang, Shuo; Cai, Wenlong; Lü, Jian; Wang, Jin

doi:10.1016/j.phycom.2018.12.003

Cited by 9 publications

(4 citation statements)

References 31 publications

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“…For these scenarios, a fixed linear trajectory is usually assumed [119]- [121]. In [119], SOP analysis has been conducted jointly considering the geometric positions of the UAV, as well as random location distribution of Eves, while in [120], beamforming and power allocation at a multiantenna ground Tx has been investigated. In [121], a FD multiantenna UAV Rx following linear trajectory is considered, where joint AN projection matrix and power allocation design was investigated to maximize the SR.…”

Section: B Trajectory As Implicit or Fixed Conditionsmentioning

confidence: 99%

Physical Layer Security for UAV Communications in 5G and Beyond Networks

Wang,

Gao

et al. 2021

Preprint

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Due to its high mobility and flexible deployment, unmanned aerial vehicle (UAV) is drawing unprecedented interest in both military and civil applications to enable agile wireless communications and provide ubiquitous connectivity. Mainly operating in an open environment, UAV communications can benefit from dominant line-of-sight links; however, it on the other hand renders the UAVs more vulnerable to malicious eavesdropping or jamming attacks. Recently, physical layer security (PLS), which exploits the inherent randomness of the wireless channels for secure communications, has been introduced to UAV systems as an important complement to the conventional cryptographybased approaches. In this paper, a comprehensive survey on the current achievements of the UAV-aided wireless communications is conducted from the PLS perspective. We first introduce the basic concepts of UAV communications including the typical static/mobile deployment scenarios, the unique characteristics of air-to-ground channels, as well as various roles that a UAV may act when PLS is concerned. Then, we introduce the widely used secrecy performance metrics and start by reviewing the secrecy performance analysis and enhancing techniques for statically deployed UAV systems, and extend the discussion to a more general scenario where the UAVs' mobility is further exploited. For both cases, respectively, we summarize the commonly adopted methodologies in the corresponding analysis and design, then describe important works in the literature in detail. Finally, potential research directions and challenges are discussed to provide an outlook for future works in the area of UAV-PLS in 5G and beyond networks.

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Section: B Trajectory As Implicit or Fixed Conditionsmentioning

confidence: 99%

Physical Layer Security for UAV Communications in 5G and Beyond Networks

Wang,

Gao

et al. 2021

Preprint

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“…With the advancement of mobile communication technology, wireless communication has been widely used in military and civilian fields, and new wireless systems such as the Internet of Things [1], Unmanned Aerial Vehicle(UAV) communication [2], and vehicular networks [3] have also been developed vigorously. However, due to the openness of wireless channels, the transmitted information is easily intercepted or eavesdropped on by eavesdroppers [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Large-Scale Multicast Group Secure Transmission Scheme Based on Multi-Carrier FDA

Wu,

Fei,

Gao

et al. 2023

Sensors

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Aiming at the problem that the traditional physical layer technology cannot realize secure transmission due to the large number of users and wide dispersion in the multicast system, a layered transmission method is proposed, and a scheme for the secure transmission of the multicast group physical layer is designed. Firstly, the hierarchical transmission system model is established. Then, the array weighted vector of each layer is optimized according to the design criterion of maximizing the artificial noise interference power. At the same time, in the case where the number of users in a single multicast group is greater than the number of transmitting antennas, a multicast grouping strategy is introduced, and the singular value decomposition and Lagrange multiplier algorithms are utilized to obtain the optimal solution. Simulation results show that the proposed method can realize the secure communication of users with different distances in the same direction and can distinguish the multicast users with the same direction angle and different distances under the premise of mutual non-interference, thus realizing the secure communication of large-scale multicast users.

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“…In [31], the closedform expression of OPA factors can be derived by using the Lagrange multiplier method, with determined beamforming vector and AN projection matrix based on NSP scheme. The authors in [32] and [33] proposed several OPA methods in secure DM networks with UAV users.…”

Section: Introductionmentioning

confidence: 99%

“…The basic idea is to keep the other quantities fixed and calculate only one variable in each step of the calculation process. [32] proposed an OPA strategy based on maximizing signal-to-leakage-andnoise ratio (Max-SLNR) and maximizing AN-and-leakage-tonoise ratio (Max-ANLNR) to design beamforming vector and AN projection vector, so as to maximize SR (Max-SR). This AIS between PA and beamforming can improve the average SR in the UAV networks.…”

Section: Introductionmentioning

confidence: 99%

Energy-efficient alternating iterative secure structure of maximizing secrecy rate for directional modulation networks

Sun

Zhang

et al. 2020

Physical Communication

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In a directional modulation (DM) network, the issues of security and privacy have taken on an increasingly important role. Since the power allocation of confidential message and artificial noise will make a constructive effect on the system performance, it is important to jointly consider the relationship between the beamforming vectors and the power allocation (PA) factors. To maximize the secrecy rate (SR), an alternating iterative structure (AIS) between the beamforming and PA is proposed. With only two or three iterations, it can rapidly converge to its rate ceil. Simulation results indicate that the SR performance of proposed AIS is much better than the null-space projection (NSP) based PA strategy in the medium and large signal-to-noise ratio (SNR) regions, especially when the number of antennas at the DM transmitter is small.

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Alternating iterative secure structure between beamforming and power allocation for UAV-aided directional modulation networks

Cited by 9 publications

References 31 publications

Physical Layer Security for UAV Communications in 5G and Beyond Networks

Physical Layer Security for UAV Communications in 5G and Beyond Networks

Large-Scale Multicast Group Secure Transmission Scheme Based on Multi-Carrier FDA

Energy-efficient alternating iterative secure structure of maximizing secrecy rate for directional modulation networks

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