联合有源RIS和同步传输反射技术有助于NOMA中安全通信的研究

IF 2.2 4区计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC

Physical Communication Pub Date : 2025-09-09 DOI:10.1016/j.phycom.2025.102829

Jiajia Wang, Fuxiang Lu, Xinyue Zhang

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引用次数: 0

摘要

可重构智能表面（STAR-RIS）的同步传输和反射作为新一代技术进步，可以显著提高业务覆盖范围，是目前无线通信中不可缺少的组成部分。然而，由于被动RIS存在“乘衰落”问题，确保RIS辅助网络的安全性仍然是一个挑战。本文研究了具有同步传输和反射能力的主动可重构智能曲面（STAR-ARIS）辅助下的非正交多址（NOMA）系统的保密性能。我们利用主动可重构智能表面将信息传输给多个用户，同时考虑到传输和反射区域中存在的窃听者（eve）。具体而言，我们共同优化了STAR-ARIS的发射波束形成、主动发射波束形成和反射波束形成，以最大限度地提高保密率，同时满足用户服务质量（QoS）要求和连续干扰消除（SIC）解码条件。为了有效地解决非凸问题，我们采用交替优化（AO）方法将其分解为两个子问题。然后，采用逐次凸逼近（SCA）和半定松弛（SDR）方法分别求解基站发射波束形成优化问题和主动可重构智能曲面相移矢量子问题。仿真结果表明，与传统的STAR-RIS-NOMA、RIS-NOMA和STAR-ARIS-OMA方法相比，STAR-ARIS-NOMA方法显著提高了系统的保密率。

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Joint active RIS and simultaneous transmission and reflection technology assist the research of secure communication in NOMA

As a new generation of technological advancement, synchronous transmission and reflection of reconfigurable intelligent surfaces (STAR-RIS) can significantly enhance the service coverage and are currently regarded as an indispensable component in wireless communication. However, due to the presence of “multiplicative fading” issue in passive RIS, ensuring security in RIS-assisted networks remains a challenge. In this paper, we investigate the secrecy performance of a nonorthogonal multiple access (NOMA) system assisted by Active Reconfigurable Intelligent Surfaces with simultaneous transmission and reflection capabilities (STAR-ARIS). We utilizes active reconfigurable intelligent surfaces to transmit information to multiple users while considering eavesdroppers (EVEs) present in both transmission and reflection areas. Specifically, we jointly optimize transmit beamforming, active transmit and reflected beamforming at STAR-ARIS to maximize the secrecy rate while satisfying user quality of service (QoS) requirements and successive interference cancellation (SIC) decoding conditions. To solve the nonconvex problem efficiently, we employ alternating optimization (AO) method to decompose it into two subproblems. Then, the successive convex approximation (SCA) and semidefinite relaxation (SDR) methods are used to solve the transmit beamforming optimization at the base station (BS) and the phase shift vector subproblems of active reconfigurable intelligent surface, respectively. Simulation results show that, compared with the traditional STAR-RIS-NOMA, RIS-NOMA, and STAR-ARIS-OMA methods, STAR-ARIS-NOMA significantly improves the secrecy rate of the system.

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来源期刊

Physical Communication ENGINEERING, ELECTRICAL & ELECTRONICTELECO-TELECOMMUNICATIONS

CiteScore

5.00

自引率

9.10%

发文量

212

审稿时长

55 days

期刊介绍： PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published. Topics of interest include but are not limited to: Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.