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arXiv 1704.03387cs.ITcs.CRmath.IT
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基于中断概率的目的地人工噪声增强物理层安全

Enhancement of Physical Layer Security Using Destination Artificial Noise Based on Outage Probability

Ali Rahmanpour, Vahid T. Vakili, S. Mohammad Razavizadeh

摘要:

在本文中,我们研究使用目的地人工噪声(DAN)除了源人工噪声(SAN),以提高物理层的保密性与中断概率为基础的方法。假设网络中的所有节点(即源、目的地和窃听者)都配备有多个天线。此外,窃听者是被动的,其信道状态和位置在源和目的地是未知的。在我们提出的方案中,通过优化分配功率的SAN,DAN和数据信号,一个最小值的中断概率是保证在窃听,并在同一时间在目的地的信噪比(SNR)的一定水平是确保。我们的仿真结果表明,使用DAN与SAN带来了显着的增强功耗相比,仅仅采用SAN实现相同的中断概率在窃听的方法。

英文摘要:

In this paper, we study using Destination Artificial Noise (DAN) besides Source Artificial Noise (SAN) to enhance physical layer secrecy with an outage probability based approach. It is assumed that all nodes in the network (i.e. source, destination and eavesdropper) are equipped with multiple antennas. In addition, the eavesdropper is passive and its channel state and location are unknown at the source and destination. In our proposed scheme, by optimized allocation of power to the SAN, DAN and data signal, a minimum value for the outage probability is guaranteed at the eavesdropper, and at the same time a certain level of signal to noise ratio (SNR) at the destination is ensured. Our simulation results show that using DAN along with SAN brings a significant enhancement in power consumption compared to methods that merely adopt SAN to achieve the same outage probability at the eavesdropper.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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