Tradeoffs in Covert Wireless Communication with a Controllable Full-Duplex Receiver  

作　　者：Yue Zhao Zan Li Danyang Wang Nan Cheng 

机构地区：[1]State Key Laboratory of Integrated Service Networks,Xidian University,Xi’an 710071,Shaanxi Province,China [2]Collaborative Innovation Center of Information Sensing and Understanding,Xi’an 710071,Shaanxi Province,China

出　　处：《China Communications》2022年第5期87-101,共15页中国通信（英文版）

基　　金：This work was supported by the National Natural Science Foundation of China under Grant 62101403,61825104,and 61901328;by the University Innovation Platform Project under Grant 2019921815KYPT009JC011;by the Industry-University-Academy Cooperation Program of Xidian University-Chongqing IC Innovation Research Institute under grant CQIRI-2021CXY-Z07.

摘　　要：This paper investigates the tradeoff of the communication link and the eavesdropping link in covert communication in the presence of a full-duplex(FD)receiver.When a warden(Willie)attempts to detect the signal transmitted from a legitimate transmitter(Alice),the controllable FD receiver(Bob)can transmit with random power to impose interference uncertainty to Willie and force it to make an incorrect decision.To maximize the average transmission rate(ATR)of Alice-Bob and the average covert probability(ACP)for Willie,we propose a multi-objective optimization framework to optimize Bob’s power uncertainty range(PUR)and spatial position jointly,subject to the sufficient condition for covert communication and the none-deployed-zone(NDZ).Due to the presence of multiple optimization objectives and nonconvex constraints,the nondominated sorting genetic algorithm II(NSGA-II)is utilized to explore the Pareto front and to give a set of solutions that reflect tradeoffs between the two conflicting objectives.Simulation results reveal that the solutions determined by the NSGA-II have larger values for both ATR and ACP than the other two baselines.Simulations also show the positive effect of the width of the PUR of Bob on the Pareto front.

关 键 词：covert communication multi-objective optimization full-duplex resource allocation 

分 类 号：TN850[电子电信—信息与通信工程]