Robust Full-Space Physical Layer Security for STAR-RIS-Aided Wireless Networks: Eavesdropper With Uncertain Location and Channel
Year: 2025
Type: article
Abstract: A robust full-space physical layer security (PLS) transmission scheme is proposed in this paper considering the full-space wiretapping challenge of wireless networks supported by simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS). Different from the existing schemes, the proposed PLS scheme takes account of the uncertainty on the eavesdropper’s position within the 360◦ service area offered by the STAR-RIS. Specifically, the large system analytical method is utilized to derive the asymptotic expression of the average security rate achieved by the security user, considering that the base station (BS) only has the statistical information of the eavesdropper’s channel state information (CSI) and the uncertainty of its location. To evaluate the effectiveness of the proposed PLS scheme, we first formulate an optimization problem aimed at maximizing the weighted sum rate of the security user and the public user. This optimization is conducted under the power allocation constraint, and some practical limitations for STAR-RIS implementation, through jointly designing the active and passive beamforming variables. A novel iterative algorithm based on the minimum mean-square error (MMSE) and cross-entropy optimization (CEO) methods is proposed to effectively address the established non-convex optimization problem with discrete variables. Simulation results indicate that the proposed robust PLS scheme can effectively mitigate the information leakage across the entire coverage area of the STAR-RIS-assisted system, leading to superior performance gain when compared to benchmark schemes encompassing traditional RIS-aided scheme.
Authors: Han Xiao, Xiaoyan Hu, Ang Li, Wenjie Wang, Kun Yang
Institutions: Xi'an Jiaotong University, Nanjing University
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Funders: China Association for Science and Technology, China Institute of Communications, National Natural Science Foundation of China, China Scholarship Council, Southeast University, National Mobile Communications Research Laboratory, Southeast University, Key Research and Development Projects of Shaanxi Province, Key Science and Technology Program of Shaanxi Province
OpenAlex ID: W4409560856
