TY - GEN
T1 - Secure UAV Computation Offloading with Intelligent Reflecting Surface
AU - Zhang, Yankai
AU - Zhou, Jianshan
AU - Qu, Guixian
AU - Duan, Xuting
AU - Qu, Kaige
AU - Zhao, Dezong
AU - Sheng, Zhengguo
AU - Leung, Victor C.M.
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The security of unmanned aerial vehicle (UAV) communication systems is an increasingly important issue in lots of specific usage scenarios. To solve the challenging problem, this paper proposed to combine the Intelligent Reflecting Surface (IRS) technique with UAV and designed an efficient alternating optimization method to realize secure computation offloading of the UAV. Specifically, this paper proposed an algorithm is proposed to maximize the average security rate at the physical layer by jointly optimizing the accelaration of UAV, the beamforming of IRS and the transmit power alternatively. To address the problem, this paper decompose it into three sub-problems and use the semidefinite relaxation (SDR) and Gaussian randomization approaches to obtain the optimal solution iteratively until it converges. Based on the simulation results, it is evident that the proposed algorithm significantly enhances wireless communication security when compared to two benchmark methods.
AB - The security of unmanned aerial vehicle (UAV) communication systems is an increasingly important issue in lots of specific usage scenarios. To solve the challenging problem, this paper proposed to combine the Intelligent Reflecting Surface (IRS) technique with UAV and designed an efficient alternating optimization method to realize secure computation offloading of the UAV. Specifically, this paper proposed an algorithm is proposed to maximize the average security rate at the physical layer by jointly optimizing the accelaration of UAV, the beamforming of IRS and the transmit power alternatively. To address the problem, this paper decompose it into three sub-problems and use the semidefinite relaxation (SDR) and Gaussian randomization approaches to obtain the optimal solution iteratively until it converges. Based on the simulation results, it is evident that the proposed algorithm significantly enhances wireless communication security when compared to two benchmark methods.
KW - Intelligent reflecting surface
KW - Unmanned aerial vehicles
KW - computation offloading
KW - joint alternating optimization
KW - physical-layer security
UR - https://www.scopus.com/pages/publications/85180129489
U2 - 10.1109/ICUS58632.2023.10318417
DO - 10.1109/ICUS58632.2023.10318417
M3 - 会议稿件
AN - SCOPUS:85180129489
T3 - Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023
SP - 199
EP - 204
BT - Proceedings of 2023 IEEE International Conference on Unmanned Systems, ICUS 2023
A2 - Song, Rong
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Unmanned Systems, ICUS 2023
Y2 - 13 October 2023 through 15 October 2023
ER -