Robust secure UAV relay-assisted cognitive communications with resource allocation and cooperative jamming

Wang, Zhen; Guo, Junchen; Chen, Zhiqiong; Yu, Lisu; Wang, Yuhao; Ren, Hong

doi:10.23919/jcn.2021.000044

Cited by 32 publications

(12 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To safeguard different wireless networks, PLS techniques have been extensively studied in the literature for various applications such as cooperative non-orthogonal multiple access (NOMA) networks [23], opportunistic relaying in IoT networks [24], full-duplex relaying [25], energy harvestingbased device-to-device communications [26], and UAV-aided secure wireless communication [27]- [29]. In particular, [28] investigated resource allocation for secure downlink UAV transmissions towards a terrestrial user empowered by a reconfigurable intelligent surface (RIS) where a friendly UAVjammer is employed for communication secrecy.…”

Section: A Prior Studies and Motivationmentioning

confidence: 99%

Secure Short-Packet Communications via UAV-Enabled Mobile Relaying: Joint Resource Optimization and 3D Trajectory Design

Mamaghani,

Zhou,

Yang

et al. 2024

Preprint

View full text Add to dashboard Cite

Short-packet communication (SPC) and unmanned aerial vehicles (UAVs) are anticipated to play crucial roles in the development of 5G-and-beyond wireless networks and the Internet of Things (IoT). In this paper, we propose a secure SPC system, where a UAV serves as a mobile decode-and-forward (DF) relay, periodically receiving and relaying small data packets from a remote IoT device to its receiver in two hops with strict latency requirements, in the presence of an eavesdropper. This system requires careful optimization of important design parameters, such as the coding blocklengths of both hops, transmit powers, and the UAV’s trajectory. While the overall optimization problem is nonconvex, we tackle it by applying a block successive convex approximation (BSCA) approach to divide the original problem into three subproblems and solve them separately. Then, an overall iterative algorithm is proposed to obtain the final design with guaranteed convergence. Our proposed low-complexity algorithm incorporates robust trajectory design and resource management to optimize the effective average secrecy throughput of the communication system over the course of the UAV-relay’s mission. Simulation results demonstrate significant performance improvements compared to various benchmark schemes and provide useful design insights on the coding blocklengths and transmit powers along the trajectory of the UAV.

show abstract

Section: A Prior Studies and Motivationmentioning

confidence: 99%

Secure Short-Packet Communications via UAV-Enabled Mobile Relaying: Joint Resource Optimization and 3D Trajectory Design

Mamaghani,

Zhou,

Yang

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…The work of Wang et al provided a comprehensive characteristic of the A2G channels. 29 Considering that a channel can be either LoS or NLoS at any instant, this model calculates the channel gain by taking the average on the both cases according to their respective probabilities of occurrence, thus only providing an approximation description of the channel. The model in the work of Al-Hourani et al predicted the expectation of path loss based on statistical analysis.…”

Section: Motivations and Contributionsmentioning

confidence: 99%

“…The LoS probability greatly depends on the specific communication environment. The work of Wang et al provided a comprehensive characteristic of the A2G channels 29 . Considering that a channel can be either LoS or NLoS at any instant, this model calculates the channel gain by taking the average on the both cases according to their respective probabilities of occurrence, thus only providing an approximation description of the channel.…”

Section: Introductionmentioning

confidence: 99%

Physical layer security‐oriented energy‐efficient resource allocation and trajectory design for UAV jammer over 5G millimeter wave cognitive relay system

Sun,

Jia,

Han

et al. 2023

Trans Emerging Tel Tech

View full text Add to dashboard Cite

This work focuses on the optimal trajectory of a rotary‐wing unmanned aerial vehicle (UAV) jammer and the system power allocation with the objective of maximizing the total secure energy efficiency (EE) of a slotted relay‐assisted millimeter wave (mm‐Wave) cognitive radio system. The UAV flies from starting location to final one in a round of communication mission that is overheard by a malicious eavesdropper. The network terminals are equipped with multiple‐input multiple‐output (MIMO) antenna array. This work first develops a practical approximation propagation model by addressing three key challenges: path loss, small‐scale Nakagami‐m fading channel gains, and transceiver antenna beamforming gains. By using the approximate model, the upper and lower bounds of the ergodic rate of each communication link are derived. Second, with the objective of maximizing secure EE, the optimal UAV trajectory and system resource allocation framework is established by considering the constraints of interference at primary receiver (PR), information‐causality relationship, rotary‐wing UAV propulsion energy and so forth. The optimal framework is solved with a tractable CVX tool by using the derived upper and lower bounds and successive convex approximation. Finally, an iterative optimizing algorithm is established by using Dinkelbach's method. In the simulation, the work presents the comparison of UAV trajectories, secure rates, and secure EEs of three schemes, that is, the proposed EE scheme, the non‐EE scheme where only the optimal secure rate is considered, and the EE scheme with the consideration of all communication‐related energy consumption. The simulations show that the EE schemes achieve smoother UAV trajectory than non‐EE, but the non‐EE scheme has higher secure rate. The impact of communication energy consumption is negligible. In addition, the effect of MIMO antenna array and mm‐Wave on system performance is exploited.

show abstract

“…Nowadays, with the development of 5G communication technology and the improvement of the mobile Internet of Things, unmanned aerial vehicle (UAV) base stations have begun to be widely used in auxiliary communication and post-disaster rescue tasks [ 1 , 2 ]. The UAV air base station has the characteristics of strong maneuverability, controllable mobility, and convenient deployment and can support the high-speed transmission of communication data, etc.…”

Section: Introductionmentioning

confidence: 99%

Path Planning Research of a UAV Base Station Searching for Disaster Victims’ Location Information Based on Deep Reinforcement Learning

Zhao¹,

Gan²,

Liang³

et al. 2022

Entropy

View full text Add to dashboard Cite

Aiming at the path planning problem of unmanned aerial vehicle (UAV) base stations when performing search tasks, this paper proposes a Double DQN-state splitting Q network (DDQN-SSQN) algorithm that combines state splitting and optimal state to complete the optimal path planning of UAV based on the Deep Reinforcement Learning DDQN algorithm. The method stores multidimensional state information in categories and uses targeted training to obtain optimal path information. The method also references the received signal strength indicator (RSSI) to influence the reward received by the agent, and in this way reduces the decision difficulty of the UAV. In order to simulate the scenarios of UAVs in real work, this paper uses the Open AI Gym simulation platform to construct a mission system model. The simulation results show that the proposed scheme can plan the optimal path faster than other traditional algorithmic schemes and has a greater advantage in the stability and convergence speed of the algorithm.

show abstract

Robust secure UAV relay-assisted cognitive communications with resource allocation and cooperative jamming

Abstract: Article that has been accepted for inclusion in a future issue of a journal. Content is final as presented, with the exception of pagination.

Cited by 32 publications

References 35 publications

Secure Short-Packet Communications via UAV-Enabled Mobile Relaying: Joint Resource Optimization and 3D Trajectory Design

Secure Short-Packet Communications via UAV-Enabled Mobile Relaying: Joint Resource Optimization and 3D Trajectory Design

Physical layer security‐oriented energy‐efficient resource allocation and trajectory design for UAV jammer over 5G millimeter wave cognitive relay system

Path Planning Research of a UAV Base Station Searching for Disaster Victims’ Location Information Based on Deep Reinforcement Learning

Contact Info

Product

Resources

About