Joint 3D Maneuver and Power Adaptation for Secure UAV Communication With CoMP Reception

Yao, Jianping; Xu, Jie

doi:10.1109/twc.2020.3007648

Cited by 43 publications

(11 citation statements)

References 53 publications

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“…Thus, the secrecy rate can be always guaranteed to be nonnegative via adjusting the transmit power. In this regard, the operator [•] + can be removed without changing the value of (14).…”

Section: Problem Formulationmentioning

confidence: 99%

“…Furthermore, Shen et al investigated a UAV-enabled interference channel in [13], where the joint trajectory and power control problem was resolved to maximize the aggregate sum rate. Different from the previous works that focused on the horizontal UAV trajectory, Yao et al in [14] exploited the UAV's 3D maneuver together with the transmit power adaptation to maximize the average secrecy rate.…”

Section: Introductionmentioning

confidence: 99%

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IRS-Assisted Secure UAV Transmission via Joint Trajectory and Beamforming Design

Pang

Zhao

Tang

et al. 2022

IEEE Trans. Commun.

190

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Despite the wide utilization of unmanned aerial vehicles (UAVs), UAV communications are susceptible to eavesdropping due to air-ground line-of-sight channels. Intelligent reflecting surface (IRS) is capable of reconfiguring the propagation environment, and thus is an attractive solution for integrating with UAV to facilitate the security in wireless networks. In this paper, we investigate the secure transmission design for an IRSassisted UAV network in the presence of an eavesdropper. With the aim at maximizing the average secrecy rate, the trajectory of UAV, the transmit beamforming, and the phase shift of IRS are jointly optimized. To address this sophisticated problem, we decompose it into three sub-problems and resort to an iterative algorithm to solve them alternately. First, we derive the closedform solution to the active beamforming. Then, with the optimal transmit beamforming, the passive beamforming optimization problem of fractional programming is transformed into corresponding parametric sub-problems. Moreover, the successive convex approximation is applied to deal with the non-convex UAV trajectory optimization problem by reformulating a convex problem which serves as a lower bound for the original one. Simulation results validate the effectiveness of the proposed scheme and the performance improvement achieved by the joint trajectory and beamforming design.

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“…Thus, the secrecy rate can be always guaranteed to be nonnegative via adjusting the transmit power. In this regard, the operator [•] + can be removed without changing the value of (14).…”

Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

IRS-Assisted Secure UAV Transmission via Joint Trajectory and Beamforming Design

Pang

Zhao

Tang

et al. 2022

IEEE Trans. Commun.

190

View full text Add to dashboard Cite

show abstract

“…However this may result in very long delays for users [25], making it problematic for delay-sensitive ultra-reliable low latency communications (URLLC) applications. In [3], CoMP is investigated with 3D trajectory optimization where multiple [26] that maximizing sum rates for heterogeneous networks can lead to a remarkable enhancement of spectral efficiency for joint transmission CoMP-NOMA for a wide range of access distances. In [27], the UAV coverage problem is addressed in order to either maximize coverage region or enhance the QoS.…”

Section: B Related Workmentioning

confidence: 99%

“…Second, UAVs offer high mobility in the 3-dimensional (3D) environment. Trajectory management becomes more complex due to 3D motion, but it provides more opportunity for UAV positioning and trajectory control, which can improve communication performance [3]. Visible light communication (VLC) is an evolving communication technology with low energy consumption and flexible coverage [15].…”

mentioning

confidence: 99%

Multi Agent Reinforcement Learning Trajectory Design and Two-Stage Resource Management in CoMP UAV VLC Networks

Mili¹,

Javan²,

Mokari³

et al. 2021

Preprint

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In this paper, we consider unmanned aerial vehicles (UAVs) equipped with a visible light communication (VLC) access point and coordinated multipoint (CoMP) capability that allows users to connect to more than one UAV. UAVs can move in 3-dimensional (3D) at a constant acceleration, where a central server is responsible for synchronization and cooperation among UAVs. The effect of accelerated motion in UAV is necessary to be considered. Unlike most existing works, we examine the effects of variable speed on kinetics and radio resource allocations. For the proposed system model, we define two different time frames. In the frame, the acceleration of each UAV is specified, and in each slot, radio resources are allocated. Our goal is to formulate a multiobjective optimization problem where the total data rate is maximized, and the total communication power consumption is minimized simultaneously. To handle this multiobjective optimization, we first apply the scalarization method and then apply multi-agent deep deterministic policy gradient (MADDPG). We improve this solution method by adding two critic networks together with two-stage resources allocation. Simulation results indicate that the constant acceleration motion of UAVs shows about 8% better results than conventional motion systems in terms of performance.

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“…The authors of [15] have considered a scenario of multiple users and maximized the minimum secrecy rate for ensuring fairness among the users. By contrast, the authors of [16] considered coordinated multi-point (CoMP) reception of the legitimate users and three-dimensional (3D) trajectory optimization in the presence of multiple malicious eavesdroppers. In [17], the total transmit power of the UAVmounted BS was minimized through joint beamforming optimization.…”

Section: Introductionmentioning

confidence: 99%

Low-Complexity Joint Power Allocation and Trajectory Design for UAV-Enabled Secure Communications With Power Splitting

Zhao

Cai

et al. 2021

IEEE Trans. Commun.

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An unmanned aerial vehicle (UAV)-aided secure communication system is conceived and investigated, where the UAV transmits legitimate information to a ground user in the presence of an eavesdropper (Eve). To guarantee the security, the UAV employs a power splitting approach, where its transmit power can be divided into two parts for transmitting confidential messages and artificial noise (AN), respectively. We aim to maximize the average secrecy rate by jointly optimizing the UAVs trajectory, the transmit power levels and the corresponding power splitting ratios allocated to different time slots during the whole flight time, subject to both the maximum UAV speed constraint, the total mobility energy constraint, the total transmit power constraint, and other related constraints. To efficiently tackle this non-convex optimization problem, we propose an iterative algorithm by blending the benefits of the block coordinate descent (BCD) method, the concave-convex procedure (CCCP) and the alternating direction method of multipliers (ADMM). Specially, we show that the proposed algorithm exhibits very low computational complexity and each of its updating steps can be formulated in a nearly closed form. Besides, it can be easily extended to the case of three-dimensional (3D) trajectory design. Our simulation results validate the efficiency of the proposed algorithm.

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Joint 3D Maneuver and Power Adaptation for Secure UAV Communication With CoMP Reception

Cited by 43 publications

References 53 publications

IRS-Assisted Secure UAV Transmission via Joint Trajectory and Beamforming Design

IRS-Assisted Secure UAV Transmission via Joint Trajectory and Beamforming Design

Multi Agent Reinforcement Learning Trajectory Design and Two-Stage Resource Management in CoMP UAV VLC Networks

Low-Complexity Joint Power Allocation and Trajectory Design for UAV-Enabled Secure Communications With Power Splitting

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