Secure Transmission in IRS and AN-Assisted MISO System: Maximizing Secrecy Energy Efficiency

IF 3.7 3区 计算机科学 Q2 TELECOMMUNICATIONS
Panpan Xu;Weijie Tan;Zhenling Li;Chunguo Li;Rui Zhao
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引用次数: 0

Abstract

In this letter, we investigate the maximization of secrecy energy efficiency (SEE) for multiple-input single-output (MISO) system assisted by artificial noise (AN) and an intelligent reflecting surface (IRS), in the presence of multiple eavesdroppers. To solve the complex and non-convex fractional programming problem of SEE maximization, we design an efficient method based on the Dinkelbach algorithm and alternative optimization, which divides the solving process into an outer algorithm and an inner algorithm. For the outer algorithm, we introduce the Dinkelbach operator to transform the fractional programming problem into a tractable subtractive form, involving the beamforming (BF) vector, AN vector, and IRS reflecting phase shift. In the inner algorithm, the integer problem is decomposed into two simpler sub-problems, then sub-optimal solutions can be obtained by iteratively optimizing the sub-problems. The simulation results verify that using AN can efficiently enhance the SEE in IRS-aided MISO systems, and the advantage of incorporating AN becomes even more pronounced in the presence of multiple eavesdroppers.
IRS和an -辅助MISO系统中的安全传输:最大化保密能源效率
在这封信中,我们研究了在多个窃听者存在的情况下,人工噪声(AN)和智能反射面(IRS)辅助的多输入单输出(MISO)系统的保密能效(SEE)最大化问题。为了解决 SEE 最大化这一复杂的非凸分式编程问题,我们设计了一种基于 Dinkelbach 算法和替代优化的高效方法,该方法将求解过程分为外部算法和内部算法。在外部算法中,我们引入了丁克巴赫算子,将分数编程问题转化为可处理的减法形式,涉及波束成形(BF)向量、AN 向量和 IRS 反射相移。在内部算法中,整数问题被分解成两个更简单的子问题,然后通过对子问题的迭代优化可以得到次优解。仿真结果验证了使用 AN 可以有效提高 IRS 辅助 MISO 系统的 SEE,而且在存在多个窃听者的情况下,加入 AN 的优势会更加明显。
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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