Joint Trajectory and Power Optimization for Securing UAV Communications Against Active Eavesdropping  

作　　者：Bin Duo Junsong Luo Yilian Li Hao Hu Zibin Wang 

机构地区：[1]College of Information Science and Technology,Chengdu University of Technology,Chengdu 610059,China [2]National Key Laboratory of Science and Technology on Information System Security,Beijing 100093,China

出　　处：《China Communications》2021年第1期88-99,共12页中国通信（英文版）

基　　金：This work was partially supported by the National Natural Science Foundation of China(No.61802034);National Key Research and Development Program of China(No.2019YFC1509602);Chongqing Natural Science Foundation(cstc2019jcyj-msxmX0264).

摘　　要：Due to both of jamming and eavesdropping,active eavesdroppers can induce more serious security threats to unmanned aerial vehicle(UAV)-enabled communications.This paper considers a secure UAV communication system including both the downlink(DL)and uplink(UL)transmissions,where the confidential information is transmitted between a UAV and a ground node in the presence of an active eavesdropper.We aim to maximize the average secrecy rates of the DL and UL communications,respectively,by jointly optimizing the UAV trajectory and the UAV/ground node’s transmit power control over a given flight period.Due to the non-convexity of the formulated problems,it is difficult to obtain globally optimal solutions.However,we propose efficient iterative algorithms to obtain high-quality suboptimal solutions by applying the block coordinate descent and successive convex optimization methods.Simulation results show that the joint optimization algorithms can effectively improve the secrecy rate performance for both the DL and UL communications,as compared with other baseline schemes.The proposed schemes can be considered as special cases of UAV-assisted non-orthogonal multiple access(NOMA)networks.

关 键 词：UAV communications active eavesdropping physical-layer security secrecy rate maximization power control trajectory design 

分 类 号：TN929.5[电子电信—通信与信息系统] V279[电子电信—信息与通信工程]