Deep Learning Based Physical Layer Security of D2D Underlay Cellular Network

作     者：Lixin Li Youbing Hu Huisheng Zhang Wei Liang Ang Gao Lixin Li;Youbing Hu;Huisheng Zhang;Wei Liang;Ang Gao

作者机构：School of Electronics and Information Northwestern Polytechnical University 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2020年第17卷第2期

页      面：93-106页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 12[管理学] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0810[工学-信息与通信工程] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 081104[工学-模式识别与智能系统] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 081001[工学-通信与信息系统] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported in part by the Aerospace Science and Technology Innovation Fund of China Aerospace Science and Technology Corporation in part by the Shanghai Aerospace Science and Technology Innovation Fund (No. SAST2018045, SAST2016034, SAST2017049) in part by the China Fundamental Research Fund for the Central Universities (No. 3102018QD096) in part by the Seed Foundation of Innovation and Creation for Graduate Students in Northwestern Polytechnical University (No. ZZ2019024) 

主　　题：D2D underlay cellular network physical layer security deep learning transmit antenna selection 

摘      要：In order to improve the physical layer security of the device-to-device(D2D)cellular network,we propose a collaborative scheme for the transmit antenna selection and the optimal D2D pair establishment based on deep *** to the mobility of users,using the current channel state information to select a transmit antenna or establish a D2D pair for the next time slot cannot ensure secure ***,in this paper,we utilize the Echo State Network(ESN)to select the transmit antenna and the Long Short-Term Memory(LSTM)to establish the D2D *** simulation results show that the LSTMbased and ESN-based collaboration scheme can effectively improve the security capacity of the cellular network with D2D and increase the life of the base station.