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引用次数: 0
摘要
物理层密钥生成(PKG)技术利用对等信道随机性生成共享密钥。然而,接收器的多径衰落可能会降低合法上行链路和下行链路信道之间的相关性,从而导致密钥生成率(KGR)较低。本文提出了一种基于模式可重构天线(PRA)的 PKG 方案,以提高密钥容量。首先,我们提出了一种基于可重构智能表面(RIS)的 PRA 架构,该架构具有灵活、可重构的天线模式。然后,我们提出了基于 PRA 的 PKG 协议,通过减轻多径衰落的影响来提高 KGR。具体来说,我们提出了一种基于原子规范最小化的多径信道参数估计新算法。随后,基于改进的二进制粒子群优化(BPSO)算法,提出了多径信号匹配接收的新型优化方法。最后,仿真结果表明,与现有方案相比,所提出的方案能够抵御多径衰落并实现较高的 KGR。此外,我们的研究结果表明,天线模式自由度的增加可以显著提高密钥容量。
Pattern-reconfigurable antenna-assisted secret key generation from multipath fading channels
Physical layer key generation (PKG) technology leverages reciprocal channel randomness to generate shared secret keys. However, multipath fading at the receiver may degrade the correlation between legitimate uplink and downlink channels, resulting in a low key generation rate (KGR). In this paper, we propose a PKG scheme based on the pattern-reconfigurable antenna (PRA) to boost the secret key capacity. First, we propose a reconfigurable intelligent surface (RIS) based PRA architecture with the capability of flexible and reconfigurable antenna patterns. Then, we present the PRA-based PKG protocol to improve the KGR via mitigation of the effects of multipath fading. Specifically, a novel algorithm for estimation of the multipath channel parameters is proposed based on atomic norm minimization. Thereafter, a novel optimization method for the matching reception of multipath signals is formulated based on the improved binary particle swarm optimization (BPSO) algorithm. Finally, simulation results show that the proposed scheme can resist multipath fading and achieve a high KGR compared to existing schemes. Moreover, our findings indicate that the increased degree of freedom of the antenna patterns can significantly increase the secret key capacity.
期刊介绍:
Frontiers of Information Technology & Electronic Engineering (ISSN 2095-9184, monthly), formerly known as Journal of Zhejiang University SCIENCE C (Computers & Electronics) (2010-2014), is an international peer-reviewed journal launched by Chinese Academy of Engineering (CAE) and Zhejiang University, co-published by Springer & Zhejiang University Press. FITEE is aimed to publish the latest implementation of applications, principles, and algorithms in the broad area of Electrical and Electronic Engineering, including but not limited to Computer Science, Information Sciences, Control, Automation, Telecommunications. There are different types of articles for your choice, including research articles, review articles, science letters, perspective, new technical notes and methods, etc.