Active-RIS enabled secure NOMA networks: Joint transmit/reflect beamforming optimization

IF 2.2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Lijuan Zhong , Mingsheng Wei , Shidang Li , Siyi Duan , Weiqiang Tan , Chunguo Li
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引用次数: 0

Abstract

The integration of Non-Orthogonal Multiple Access (NOMA) and Reconfigurable Intelligent Surface (RIS) provides a powerful method to improve the coverage and capacity of wireless communication systems. However, protecting the communication security of RIS assisted networks is particularly important in situations where eavesdroppers are able to actively interfere with the communication. Passive RIS cannot effectively cope with the dual fading problem in signal transmission. To address this, we propose an active RIS assisted NOMA scheme. Active RIS can enhance communication security by adjusting the reflective characteristics of the signal. Additionally, we introduce artificial noise to reduce the information accessible to eavesdroppers. Specifically, by jointly optimizing the transmit beamforming at the base station, the artificial noise signal and the reflection coefficients of the active RIS, the security of the legitimate users and the maximization of the rate are achieved under the conditions of satisfying the user rate requirements, the power constraints of the base station and the active RIS, and the Successive Interference Cancellation (SIC). To solve this nonconvex optimization problem, this paper decomposes it into two subproblems and converts it into a convex problem using Successive Convex Approximation (SCA) and first-order Taylor’s method, and proposes an alternative optimization algorithm for iterative solution. Empirical data indicates that the scheme in question yields a minimum enhancement of 50% when active RIS and artificial noise are utilized, as opposed to a passive RIS scheme, thus offering a robust and safeguarded approach for the development of future wireless communication systems.
主动ris支持的安全NOMA网络:联合发射/反射波束形成优化
非正交多址(NOMA)和可重构智能表面(RIS)的融合为提高无线通信系统的覆盖和容量提供了一种有力的方法。然而,在窃听者能够主动干扰通信的情况下,保护RIS辅助网络的通信安全尤为重要。无源RIS不能有效应对信号传输中的双衰落问题。为了解决这个问题,我们提出了一个主动RIS辅助NOMA方案。有源RIS通过调节信号的反射特性来提高通信的安全性。此外,我们引入了人工噪声来减少窃听者可以获得的信息。具体而言,在满足用户速率要求、基站和有源RIS的功率约束以及连续干扰抵消(SIC)的条件下,通过共同优化基站的发射波束形成、人工噪声信号和有源RIS的反射系数,实现合法用户的安全和速率的最大化。为了求解这一非凸优化问题,本文采用逐次凸逼近法和一阶泰勒法将其分解为两个子问题,并将其转化为一个凸问题,提出了一种迭代求解的备选优化算法。经验数据表明,与无源RIS方案相比,在利用有源RIS和人工噪声时,所讨论的方案产生了至少50%的增强,从而为未来无线通信系统的发展提供了一种强大而有保障的方法。
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来源期刊
Physical Communication
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.
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