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

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-MI...

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Vydané v:Frontiers of information technology & electronic engineering Ročník 24; číslo 2; s. 259 - 274
Hlavní autori: Wang, Xinyao, Bao, Xuyan, Huang, Yuzhen, Zheng, Zhong, Fei, Zesong
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Hangzhou Zhejiang University Press 01.02.2023
Springer Nature B.V
Predmet:
Cognitive radio
Communications Engineering
Computer Hardware
Computer Science
Computer Systems Organization and Communication Networks
Eigenvectors
Electrical Engineering
Electronics and Microelectronics
Industrial applications
Industrial Internet of Things
Instrumentation
Interference
MIMO communication
Networks
Optimization
Power management
Secrecy aspects
特征空间自适应预编码
TN92
Difference convex programming
物理层安全
Cognitive radio network
Physical layer security
感知无线电
Eigenspace-adaptive precoding
协作多输入多输出(C-MIMO)
Cooperative multi-input multi-output (C-MIMO)
差分凸规划
ISSN:2095-9184, 2095-9230
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Popis
Shrnutí: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 PU. Such 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 secrecy. To 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 constraint. This precoder design is enabled by decomposing the original optimization problem into eigenspace selection and power allocation sub-problems. Herein, the eigenvectors are adaptively selected by the transmitter according to the channel conditions of the underlaid users and the PUs. In 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 design. Numerical 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 methods. Moreover, the proposed simplified EAP method for the large-dimensional C-MIMO can significantly improve the secrecy rate.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2095-9184
2095-9230
DOI:10.1631/FITEE.2200188