Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Log inSign up
Challenges
Datasets
Workspaces
Papers
Discussions
Leaderboard
Blog
Job Board
Q3AS

© 2026 Aqora Quantum S.A.S.

TermsPrivacyLegal Notice

Telecommunication Systems

Joint trajectory and power design for UAV-enabled cooperative jamming in two-way secure communication

Yiwen Zhang, Ruixia Cheng

Published Mar 11, 2023• 5 citations
Publisher
DOI
10.1007/s11235-023-00994-7

Related papers

UAV-Assisted Physical-Layer Secure Communications: Optimal Joint Power Control and Continuous Trajectory Design

Yuxi Huang, Xiaopeng Yuan, Y HU +1 more

IEEE Globecom Workshops (GC Wkshps)•Dec 8, 2025•0 citations

Joint resource and trajectory optimization for secure UAV-based two-way relay system

Thành Trung Nguyen, Tran Manh Hoang, Xuan Nam Tran

Digital Signal Processing•Jun 6, 2024•10 citations

Secure UAV Communication With Cooperative Jamming and Trajectory Control

Canhui Zhong, Jianping Yao, Jie Xu

This letter presents a new cooperative jamming approach to secure the unmanned aerial vehicle (UAV) communication by leveraging jamming from other nearby UAVs to defend against the eavesdropping. In particular, we consider a two-UAV scenario when one UAV transmitter delivers the confidential information to a ground node (GN), and the other UAV jammer cooperatively sends the artificial noise to confuse the ground eavesdropper for protecting the confidentiality of the data transmission. By exploiting the fully controllable mobility, the two UAVs can adaptively adjust their locations over time (a.k.a. trajectories) to facilitate the secure communication and cooperative jamming. We assume that the two UAVs perfectly know the GN's location and partially know the eavesdropper's location a priori. Under this setup, we maximize the average secrecy rate from the UAV transmitter to the GN over one particular time period, by optimizing the UAVs' trajectories, jointly with their communicating/jamming power allocations. Although the formulated problem is non-convex, we propose an efficient solution by applying the techniques of alternating optimization and successive convex approximation.

arXiv:1812.06813•IEEE Communications Letters•Dec 25, 2018•266 citations

Cooperative Jamming via Spectrum Sharing for Secure UAV Communications

Yupeng Li, Rongqing Zhang, Jianhua Zhang +1 more

This letter investigates the physical layer security issue in unmanned aerial vehicle (UAV) communication networks. Specifically, two UAVs transmit confidential messages to their specified ground destinations by sharing the same spectrum, while a ground eavesdropper attempts to wiretap the confidential messages. In the considered scenario, although mutual interferences arising from spectrum sharing may lower the spectral efficiency, the overhearing effect may also be alleviated as these two UAVs inherently act as cooperative jammers for each other. Motivated by this, a cooperation strategy is designed to combat eavesdropping, so that the system secrecy rate can be maximized. To this end, an iterative algorithm is proposed to jointly optimize the trajectory and transmit power of both UAVs. Simulations demonstrate that our proposed scheme can achieve significant secrecy rate gain in comparison with the benchmarks.

IEEE Wireless Communications Letters•Nov 15, 2019•67 citations

Maximizing secrecy performance for UAV-based two-way relay systems utilizing friendly jamming

Thanh Trung Nguyen, Tran Manh Hoang, Le The Dung +1 more

Vehicular Communications•Mar 21, 2026•0 citations

Joint Trajectory Optimization and Power Control for Cognitive UAV-Assisted Secure Communications

Can Wang, Helin Yang, Liang Xiao +2 more

Cognitive unmanned aerial vehicle (UAV) communication systems combine benefits of both the cognitive radio and UAV, which improves the spectral efficiency and communication coverage area. However, high-quality air-ground channel links maybe more vulnerable to potential eavesdropping or jamming attacks. Thus, this paper proposes a secure transmission approach assisted by deploying a cooperative UAV to transmit artificial noise to jam an active eavesdropper, in order to maximize the system secrecy rate under the quality of service (QoS) requirement of a primary device. Specifically, we jointly optimize the flight trajectory and transmission power of the cooperative jammer to maximize the system's secrecy rate under strict constraints. To achieve this, we convert the non-convex problem into an approximately convex problem using the block coordinate descent algorithm and successive convex approximation method. Simulation results show that compared to existing algorithms, the proposed algorithm in this study can significantly improve the system's secrecy rate.

Globecom•Dec 4, 2023•3 citations
This letter presents a new cooperative jamming approach to secure the unmanned aerial vehicle (UAV) communication by leveraging jamming from other nearby UAVs to defend against the eavesdropping. In particular, we consider a two-UAV scenario when one UAV transmitter delivers the confidential information to a ground node (GN), and the other UAV jammer cooperatively sends the artificial noise to confuse the ground eavesdropper for protecting the confidentiality of the data transmission. By exploiting the fully controllable mobility, the two UAVs can adaptively adjust their locations over time (a.k.a. trajectories) to facilitate the secure communication and cooperative jamming. We assume that the two UAVs perfectly know the GN's location and partially know the eavesdropper's location a priori. Under this setup, we maximize the average secrecy rate from the UAV transmitter to the GN over one particular time period, by optimizing the UAVs' trajectories, jointly with their communicating/jamming power allocations. Although the formulated problem is non-convex, we propose an efficient solution by applying the techniques of alternating optimization and successive convex approximation.
This letter investigates the physical layer security issue in unmanned aerial vehicle (UAV) communication networks. Specifically, two UAVs transmit confidential messages to their specified ground destinations by sharing the same spectrum, while a ground eavesdropper attempts to wiretap the confidential messages. In the considered scenario, although mutual interferences arising from spectrum sharing may lower the spectral efficiency, the overhearing effect may also be alleviated as these two UAVs inherently act as cooperative jammers for each other. Motivated by this, a cooperation strategy is designed to combat eavesdropping, so that the system secrecy rate can be maximized. To this end, an iterative algorithm is proposed to jointly optimize the trajectory and transmit power of both UAVs. Simulations demonstrate that our proposed scheme can achieve significant secrecy rate gain in comparison with the benchmarks.
Cognitive unmanned aerial vehicle (UAV) communication systems combine benefits of both the cognitive radio and UAV, which improves the spectral efficiency and communication coverage area. However, high-quality air-ground channel links maybe more vulnerable to potential eavesdropping or jamming attacks. Thus, this paper proposes a secure transmission approach assisted by deploying a cooperative UAV to transmit artificial noise to jam an active eavesdropper, in order to maximize the system secrecy rate under the quality of service (QoS) requirement of a primary device. Specifically, we jointly optimize the flight trajectory and transmission power of the cooperative jammer to maximize the system's secrecy rate under strict constraints. To achieve this, we convert the non-convex problem into an approximately convex problem using the block coordinate descent algorithm and successive convex approximation method. Simulation results show that compared to existing algorithms, the proposed algorithm in this study can significantly improve the system's secrecy rate.