On optimization of cooperative MIMO for underlaid secrecy Industrial Internet of Things

作     者：Xinyao WANG Xuyan BAO Yuzhen HUANG Zhong ZHENG Zesong FEI Xinyao WANG;Xuyan BAO;Yuzhen HUANG;Zhong ZHENG;Zesong FEI

作者机构：School of Information and ElectronicsBeijing Institute of TechnologyBeijing100081China China Academy of Information and Communications TechnologyBeijing100191China Academy of Military Sciences of PLABeijing100091China 

出 版 物：《Frontiers of Information Technology & Electronic Engineering》 (信息与电子工程前沿（英文版）)

年 卷 期：2023年第24卷第2期

页      面：259-274页

核心收录：

学科分类：0402[教育学-心理学(可授教育学、理学学位）] 0303[法学-社会学] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 081203[工学-计算机应用技术] 08[工学] 0835[工学-软件工程] 0701[理学-数学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：Z.ZHENG is supported by the National Natural Science Foundation of China(No.61901033) the Natural Science Foundation of Beijing(No.L212031) X.Y.BAO is supported by the China Academy of Information and Communications Technology,Y.Z.HUANG is supported by the National Natural Science Foundation of China(No.61971474) the Beijing Nova Program(No.Z201100006820121) 

主　　题：Cognitive radio network Physical layer security Cooperative multi-input multi-output(C-MIMO) Eigenspace-adaptive precoding Difference convex programming 

摘      要：In this paper,physical layer security techniques are investigated for cooperative multi-input multi-output(C-MIMO),which operates as an underlaid cognitive radio system that coexists with a primary user(PU).The underlaid secrecy paradigm is enabled by improving the secrecy rate towards the C-MIMO receiver and reducing the interference towards the *** a communication model is especially suitable for implementing Industrial Internet of Things(IIoT)systems in the unlicensed spectrum,which can trade off spectral efficiency and information *** this end,we propose an eigenspace-adaptive precoding(EAP)method and formulate the secrecy rate optimization problem,which is subject to both the single device power constraint and the interference power *** precoder design is enabled by decomposing the original optimization problem into eigenspace selection and power allocation ***,the eigenvectors are adaptively selected by the transmitter according to the channel conditions of the underlaid users and the *** addition,a simplified EAP method is proposed for large-dimensional C-MIMO transmission,exploiting the additional spatial degree of freedom for a low-complexity secrecy precoder *** results show that by transmitting signal and artificial noise in the properly selected eigenspace,C-MIMO can eliminate the secrecy outage and outperforms the fixed eigenspace precoding ***,the proposed simplified EAP method for the large-dimensional C-MIMO can significantly improve the secrecy rate.