A Joint SLNR-MMSE-based Adaptive Secure Transmission Technique for Broadband IoT Systems
A Joint SLNR-MMSE-based Adaptive Secure Transmission Technique for Broadband IoT Systems
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DOI：
10.1109/globecom42002.2020.9322201
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发表时间：
2020-12
期刊：
影响因子：
--
通讯作者：
Yasuhiro Takano;Hsuan-Jung Su
中科院分区：
文献类型：
--
作者：
Yasuhiro Takano;Hsuan-Jung Su
基于信号泄漏噪声比（Signal-to-Leakage-and-Noise Ratio，SLNR）的发射预编码技术是在低到中等信噪比（Signal-to-Noise Ratio，SNR）状态下执行安全传输的优选选项。传统的基于SLNR的技术假设合法接收机可以估计和均衡其预编码的虚拟信道，通常表现出频率选择性特性。然而，在物联网（IoT）系统中，低成本终端并不总是具有如此复杂的接收器。因此，我们提出了一种新的安全传输方案，为未来的宽带物联网系统，其中联合SLNR最小均方误差（MMSE）为基础的预编码进行，使一个合法的终端假设线性复杂度成功接收秘密信息。此外，该方案自适应地确定传输速率根据遍历容量。仿真结果表明，该方法在有效防止主动窃听者正确接收的同时，显著提高了传输速率。
Signal-to-leakage-and-noise ratio (SLNR)-based transmit precoding techniques are preferable options to perform secure transmission in a low to moderate signal-to-noise ratio (SNR) regime. The conventional SLNR-based techniques assume that a legitimate receiver can estimate and equalize its precoded virtual channels often exhibiting frequency selective property. However, in Internet-of-Things (IoT) systems, lowcost terminals do not always have such complex receivers. We hence propose a new secure transmission scheme for future broadband IoT systems, where the joint SLNR-minimum mean square error (MMSE)-based precoding is performed so that a legitimate terminal assuming a linear complexity receives secret information successfully. Moreover, the proposed scheme adaptively determines transmission rates according to ergodic capacities. Simulation results verify that the proposed method improves the transmission rates significantly while preventing active eavesdroppers from correct receiving.