Secure UAV-enabled OFDMA Communications

被引:3
作者
Sun, Jie [1 ]
Sheng, Zhichao [1 ]
Nasir, Ali A. [2 ,3 ]
Wei, Hao [4 ,5 ]
Fang, Yong [1 ]
Muqaibel, Ali H. [2 ,3 ]
机构
[1] Shanghai Univ, Key Lab Specialty Fiber Opt & Opt Access Network, Shanghai Inst Adv Commun & Data Sci, Shanghai 200444, Peoples R China
[2] King Fand Univ Petr & Minerals KFUPM, Dept Elect Engn, Dhahran 31261, Saudi Arabia
[3] King Fand Univ Petr & Minerals KFUPM, Ctr Commun Syst & Sensing, Dhahran 31261, Saudi Arabia
[4] ZTE Coperat, Shenzhen 518055, Peoples R China
[5] State Key Lab Mobile Network & Mobile Multimedia, Shenzhen 518055, Peoples R China
来源
2021 IEEE 94TH VEHICULAR TECHNOLOGY CONFERENCE (VTC2021-FALL) | 2021年
基金
中国国家自然科学基金;
关键词
UAV; physical layer security; OFDMA; non-convex optimization; resource allocation; RESOURCE-ALLOCATION; TRAJECTORY DESIGN;
D O I
10.1109/VTC2021-FALL52928.2021.9625221
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, an unmanned aerial vehicle (UAV) enabled secure downlink communication is considered, where a single-antenna UAV serves multiple ground users facilitated by orthogonal frequency-division multiple access (OFDMA), in the presence of an eavesdropper (EV) with imperfect channel state information. To enhance the secrecy rate (SR), we employ a power splitting approach, where part of the transmit power is used for communication while the rest is used for jamming. We maximize the average secrecy rate (ASR) by jointly optimizing the bandwidth, trajectory, power allocation, and power splitting ratio. To tackle this non-convex and computationally intractable optimization problem, we propose a novel algorithm by employing successive convex approximation, block coordinate descend and S-procedure. Numerical results show that our proposed joint optimization algorithm outperforms the benchmark schemes.
引用
收藏
页数:5
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