Secrecy Capacity Maximization for IRS-Assisted High-Speed Train Communications

IF 3.7 3区 计算机科学 Q2 TELECOMMUNICATIONS
Cuiran Li;Jiahui Luan;Zepeng Zhang;Bo Ai;Hao Wu;Jianli Xie
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引用次数: 0

Abstract

In this letter, we propose an IRS-assisted MIMO communication system model in the presence of an eavesdropper (Eve). A distance-dependent Rician factor and real-time Doppler frequency offset (DFO) compensation mechanism are utilized to characterize highly time-varying wireless channels. The secrecy capacity optimization problem is formulated by jointly optimizing the transmit beamforming, artificial noise (AN) matrix, and IRS phase shifts, subject to transmit power and unit modulus constraints. To solve the non-convex problem, it is transformed into convex optimization problem by using weighted minimum mean square error (WMMSE) algorithm, and an alternating optimization strategy with coupled variables is used to derive the optimal solution. Simulation results show that the optimization algorithm proposed in this letter converges quickly and achieves higher secrecy capacity.
irs辅助高速列车通信保密能力最大化
在这封信中,我们提出了一个存在窃听者(Eve)的irs辅助MIMO通信系统模型。利用距离相关的专家因子和实时多普勒频偏(DFO)补偿机制来表征高度时变的无线信道。在发射功率和单位模量约束下,通过联合优化发射波束形成、人工噪声(AN)矩阵和IRS相移来制定保密能力优化问题。针对非凸问题,采用加权最小均方误差(WMMSE)算法将其转化为凸优化问题,并采用耦合变量交替优化策略推导出最优解。仿真结果表明,本文提出的优化算法收敛速度快,具有较高的保密能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Communications Letters
IEEE Communications Letters 工程技术-电信学
CiteScore
8.10
自引率
7.30%
发文量
590
审稿时长
2.8 months
期刊介绍: The IEEE Communications Letters publishes short papers in a rapid publication cycle on advances in the state-of-the-art of communication over different media and channels including wire, underground, waveguide, optical fiber, and storage channels. Both theoretical contributions (including new techniques, concepts, and analyses) and practical contributions (including system experiments and prototypes, and new applications) are encouraged. This journal focuses on the physical layer and the link layer of communication systems.
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