基于非对称智能反射面变换的信道密钥提取方案

Yuwei Gao, Dengke Guo, Dongtang Ma, Jun Xiong
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引用次数: 0

摘要

在物理层密钥生成(PLSKG)中,通常采用基于阈值的量化方案将信道检测值转换为初始密钥位。然而,在阈值附近的数据容易受到噪声波动的干扰,这将导致关键不一致率(KDR)的增加。提出了一种IRS辅助密钥生成方案,该方案利用IRS的不对称变化来改善下行信道环境,以减少量化后的密钥不一致性。蒙特卡罗仿真和数值结果表明,该方案是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Channel Key Extraction Scheme Using Asymmetric Intelligent Reflecting Surface Transformation
In physical layer secret key generation (PLSKG), the threshold-based quantization scheme is usually used to convert the channel detection value into the initial key bits. However, the data near the threshold is easily disturbed by noise fluctuation, which will lead to an increase in the key disagreement rate(KDR). We proposed an IRS-assisted key generation scheme, which uses the asymmetric change of IRS to ameliorate the downlink channel environment, to reduce the key inconsistency after quantization. Monte Carlo simulation and numerical results showed that our proposed scheme is feasible.
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