Gu, J.; Zhang, Z.; Duan, W.; Song, F.; Zhang, H. Physical Layer Security in RIS-NOMA Assisted IoV Systems with Uncertain RIS Deployment. Preprints2024, 2024101447. https://doi.org/10.20944/preprints202410.1447.v1
APA Style
Gu, J., Zhang, Z., Duan, W., Song, F., & Zhang, H. (2024). Physical Layer Security in RIS-NOMA Assisted IoV Systems with Uncertain RIS Deployment. Preprints. https://doi.org/10.20944/preprints202410.1447.v1
Chicago/Turabian Style
Gu, J., Feifei Song and Huaiping Zhang. 2024 "Physical Layer Security in RIS-NOMA Assisted IoV Systems with Uncertain RIS Deployment" Preprints. https://doi.org/10.20944/preprints202410.1447.v1
Abstract
Reconfigurable Intelligent Surface (RIS), as an emerging radio technology, is widely used to expand transmission distance and structure cascade channels to improve the performance of communication systems. However, although RIS-NOMA assisted Internet of Vehicles (IoV) communication system can improve the overall transmission and rate performance with continuous development of wireless communication technology, the physical layer security (PLS) issue has gradually attracted attention and becomes more and more important in the application of the system. The aim of this paper is to investigate the potential threaten for PLS, when RIS is utilized in order to improve the security performance of wireless communications. In particular, this work considers the non-fixed of RIS location and wiretapping behavior of eavesdroppers on the data, and further analyzes the maximum safe-rate for above location assumptions. The results show that RIS demonstrates significant advantages on security performance and provides a useful reference for the security design of future wireless communication systems.
Keywords
non-orthogonal multiple access (NOMA); reconfigurable intelligent surfaces (RIS); Internet of Vehicles (IoV); physical layer security (PLS); safe-rate
Subject
Computer Science and Mathematics, Computer Networks and Communications
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
