Securing Transmission for UAV Swarm-Enabled Communication Network

Dong, Runze; Wang, Buhong; Cao, Kunrui; Cheng, Tianhao

doi:10.1109/jsyst.2021.3111746

Cited by 9 publications

(4 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…At present, UAV-aided wireless communication with PLS has gained substantial attention from the research community. In accordance with the different functions of UAVs in secure communication, UAVs can be classified as UAV-involved secure communications and UAV-enabled secure cooperation [9], [10].…”

Section: Introductionmentioning

confidence: 99%

UAV-Aided Transceiver Design for Secure Downlink OW-DFTs-OFDM System: A Multi-User mmWave Application

et al. 2022

View full text Add to dashboard Cite

Unmanned aerial vehicle (UAV)-based communication system design has already attracted substantial interest due to UAV flexibility in deployment, cost effectiveness, and in-built line-of-sight air-toground channels. However, there is a persistent issue of security threats associated with the broadcast nature of UAV: physical layer security (PLS) can be introduced to enhance the secrecy performance in that regard.In the system proposed here, the combined effect of 3D fractional-order Liu chaotic system and 3D fractionalorder Li chaotic system is introduced to enhance the PLS of the UAV-to-ground communication network. In addition, to reduce multi-user interference (MUI), efficient orthogonal variable spreading factor (OVSF) codes are integrated with a zero forcing (ZF) scheme. Moreover, to improve bit error rate (BER), a combined MUI signal discrimination and ZF signal detection scheme is introduced, strengthened by various channel coding techniques with multi-user beamforming weighting. The numerical outcomes establish the efficacy of the proposed system in terms of PLS and improvement of data rate with signal-to-interference-plus-noise ratio. This approach achieved an out-of-band emission reduction of 119 dB. Furthermore, an improved BER of 1 × 10 −4 is achieved in 16-QAM for a signal-to-noise ratio of 6 dB.INDEX TERMS Millimeter-wave, orthogonal frequency-division multiplexing, orthogonal variable spreading factor, overlap-windowed discrete Fourier transform, physical layer security, unmanned aerial vehicle, zero forcing precoding.

show abstract

Section: Introductionmentioning

confidence: 99%

UAV-Aided Transceiver Design for Secure Downlink OW-DFTs-OFDM System: A Multi-User mmWave Application

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Due to the limited resources and strong flexibility of the UAV, the traditional transmission method could not be directly used in the UAV-enabled communication. As an important supplement of encryption technologies, physical-layer security (PLS) realizes the secrecy transmission by increasing the channel capacity of legitimate users and reducing the channel capacity of eavesdropping users [15][16][17][18][19][20][21].…”

Section: Introduction 1background and Related Workmentioning

confidence: 99%

“…[20] considered a UAV swarm-enabled communication system, in which the PLS of the system is improved by beamforming and bandwidth allocation in the presence of an eavesdropper. The authors in [21] studied a UAV swarmenabled communication network, where several rotary-UAVs act as mobile relays to serve a legitimate UAV user in the presence of an eavesdropper UAV. Then, the power allocation coefficient, beamforming on UAV relays, and trajectory of the legitimate UAV are jointly optimizated to maximize the secrecy rate.…”

Section: Introduction 1background and Related Workmentioning

confidence: 99%

Secrecy Capacity Maximization of UAV-Enabled Relaying Systems with 3D Trajectory Design and Resource Allocation

Pan

Han

et al. 2022

Sensors

View full text Add to dashboard Cite

Unmanned aerial vehicles (UAVs) have attracted considerable attention, thanks to their high flexibility, on-demand deployment and the freedom in trajectory design. The communication channel quality can be effectively improved by using UAV to build a line-of-sight communication link between the transmitter and the receiver. Furthermore, there is increasing demand for communication security improvement, as the openness of a wireless channel brings serious threat. This paper formulates a secrecy capacity optimization problem of a UAV-enabled relay communication system in the presence of malicious eavesdroppers, in which the secrecy capacity is maximized by jointly optimizing the UAV relay’s location, power allocation, and bandwidth allocation under the communication quality and information causality constraints. A successive convex approximation–alternative iterative optimization (SCA-AIO) algorithm is proposed to solve this highly coupled nonconvex problem. Simulation results demonstrate the superiority of the proposed secrecy transmission strategy with optimal trajectory design and resource allocation compared with the benchmark schemes and reveal the impacts of communication resources on system performance.

show abstract

“…Therefore, the emerging intelligent reflecting surface (IRS) technology is introduced into the design of the secure UAV communication system. By integrating a large number of low-cost passive reflection components and controlling each amplitude and phase to reflect the incident signal independently, IRS can achieve a passive 3D beamforming, which can modify the wireless propagation environment and bring a higher degree of design freedom to secure wireless communications [ 13 , 14 ]. Wang et al deployed an IRS on the UAV as a trusted relay to maximize the ASR by jointly optimizing the beamforming vector, IRS phase shift matrix, and UAV’s trajectory [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Reflecting Surface Assisted Secure Transmission in UAV-MIMO Communication Systems

Cheng

Wang

et al. 2022

Entropy

Self Cite

View full text Add to dashboard Cite

This paper studies the intelligent reflecting surface (IRS) assisted secure transmission in unmanned aerial vehicle (UAV) communication systems, where the UAV base station, the legitimate receiver, and the malicious eavesdropper in the system are all equipped with multiple antennas. By deploying an IRS on the facade of a building, the UAV base station can be assisted to realize the secure transmission in this multiple-input multiple-output (MIMO) system. In order to maximize the secrecy rate (SR), the transmit precoding (TPC) matrix, artificial noise (AN) matrix, IRS phase shift matrix, and UAV position are jointly optimized subject to the constraints of transmit power limit, unit modulus of IRS phase shift, and maximum moving distance of UAV. Since the problem is non-convex, an alternating optimization (AO) algorithm is proposed to solve it. Specifically, the TPC matrix and AN covariance matrix are derived by the Lagrange dual method. The alternating direction method of multipliers (ADMM), majorization-minimization (MM), and Riemannian manifold gradient (RCG) algorithms are presented, respectively, to solve the IRS phase shift matrix, and then the performance of the three algorithms is compared. Based on the proportional integral (PI) control theory, a secrecy rate gradient (SRG) algorithm is proposed to iteratively search for the UAV position by following the direction of the secrecy rate gradient. The theoretic analysis and simulation results show that our proposed AO algorithm has a good convergence performance and can increase the SR by 40.5% compared with the method without IRS assistance.

show abstract

Securing Transmission for UAV Swarm-Enabled Communication Network

Cited by 9 publications

References 35 publications

UAV-Aided Transceiver Design for Secure Downlink OW-DFTs-OFDM System: A Multi-User mmWave Application

UAV-Aided Transceiver Design for Secure Downlink OW-DFTs-OFDM System: A Multi-User mmWave Application

Secrecy Capacity Maximization of UAV-Enabled Relaying Systems with 3D Trajectory Design and Resource Allocation

Intelligent Reflecting Surface Assisted Secure Transmission in UAV-MIMO Communication Systems

Contact Info

Product

Resources

About