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首页> 外文期刊>Internet of Things Journal, IEEE >Device-Centric Distributed Antenna Transmission: Secure Precoding and Antenna Selection With Interference Exploitation
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Device-Centric Distributed Antenna Transmission: Secure Precoding and Antenna Selection With Interference Exploitation

机译:以设备为中心的分布式天线传输:使用干扰剥削确保预编码和天线选择

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摘要

In this article, we address physical layer security in the distributed antenna (DA) systems, where eavesdroppers (Eves) can intercept the information transmitted for the intended receiver (IR). To realize a device-centric, power-efficient, and physical-layer security-aware system, we aim at minimizing power consumption by jointly designing DA selection and secure precoding. Different from the conventional artificial noise (AN)-aided secure transmission, where AN is treated as an undesired element for the IR, we design AN such that it is constructive to the IR while keeping destructive to the Eves. Importantly, we investigate two practical scenarios, where the IR and Eves' channel state information (CSI) are imperfectly obtained or the Eves' CSI is completely unknown. To handle the CSI uncertainties, we solve the problems in probabilistic and deterministic robust optimizations, respectively, both satisfying the IR' signal-to-interference-plus-noise ratio (SINR) requirement by the use of constructive AN and addressing security against the Eves. The simulation results demonstrate our algorithms consume much less power compared to the centralized antenna (CA) systems with/without antenna selection, as well as the DA systems with conventional AN processing. Last but not least, by the proposed algorithms, the activation of DAs closely relates to devices' locations and quality-of-service (QoS) requirements, featuring a device-centric and on-demand structure.
机译:在本文中,我们解决了分布式天线(DA)系统中的物理层安全性,其中窃听者(EVES)可以拦截为预期接收器(IR)发送的信息。为了实现以设备为中心的,节能和物理层安全感知系统,我们旨在通过共同设计DA选择和安全预编码来最大限度地降低功耗。与传统的人造噪声(A)涂覆的安全传输不同,其中A.被视为IR的不期望的元件,我们设计成使得它与IR相加,同时保持对EVES的破坏性。重要的是,我们调查了两个实际情况,其中IR和EVES的频道状态信息(CSI)不完全获得,或者EVES'CSI完全未知。为了处理CSI的不确定性,我们分别解决了概率和确定性稳健优化的问题,既通过使用建设性A和解决EVES的安全性,也可以分别满足IR'信号对干扰除噪声比(SINR)要求。仿真结果表明,与带有/没有天线选择的集中天线(CA)系统以及具有传统处理的DA系统相比,我们的算法消耗了更小的功率。最后但并非最不重要的是,由所提出的算法,DAS的激活密切相关,与设备的位置和服务质量(QoS)要求相关,具有以设备为中心的和按需结构。

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