Empowering Reconfigurable Intelligent Surfaces for Security of Downlink NOMA

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作者
Nguyen, Nhan Duc [1 ]
Van Nguyen, Minh-Sang [2 ]
Munochiveyi, Munyaradzi [3 ]
机构
[1] Faculty of Mechanical-Electrical and Computer Engineering, School of Engineering and Technology, Van Lang University, 69/ 68 Dang Thuy, Tram Street, Ward 13, Binh Thanh District, Ho Chi Minh City,70000, Viet Nam
[2] Faculty of Electronics Technology, Industrial University of Ho Chi Minh City (IUH), Ho Chi Minh City, Viet Nam
[3] Electrical and Electronics Engineering Department, University of Zimbabwe, Mount Pleasant, Harare, Zimbabwe
关键词
Interlocking signals - Monte Carlo methods - Signal to noise ratio;
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摘要
Reconfigurable intelligent surfaces (RIS) and non-orthogonal multiple access (NOMA) are promising techniques to develop next-generation wireless systems. While RIS has huge potential to create massive device connectivity, NOMA exhibits its spectrum efficient communication among multiple access approaches. RIS is a passive device made up of low-cost meta-surfaces which can control the propagation of radio waves, and it is easily deployable in lots of applications in the Internet of Things. The full-duplex nature of RIS has also been a major reason for its consideration of major emerging and trending technologies. In this paper, we aim to investigate the secrecy performance of the RIS-NOMA-assisted Internet of Things (IoT) systems in the presence of two legitimate users who belong to a cluster, and those devices are associated with the existence of an eavesdropper situated close to such a cluster. This paper considers the devices in the presence of RIS and an eavesdropper. As main performance metrics, the closed-form expressions for secrecy outage probability (SOP) and strictly positive secrecy capacity (SPSC) are derived to evaluate the performance of legitimate users. Simulations are performed in support of the Monte-Carlo method, and the obtained results show that in most of the cases, the number of meta-surfaces in RIS and signal-to-noise ratio (SNR) levels at the source also plays a pivotal role in influencing the secure performance of the system. © 2022 Nhan Duc Nguyen et al.
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