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arXiv 1306.0549cs.CRcs.ITmath.IT
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安全SISO传输和组播的波形设计

Waveform Design for Secure SISO Transmissions and Multicasting

Ming Li, Sandipan Kundu, Dimitris A. Pados, Stella N. Batalama

摘要:

无线物理层安全是一个新兴的研究领域,旨在防止在一个开放的无线介质窃听。在本文中,我们提出了一种新的波形设计方法,以尽量减少可信的单天线节点之间传输的消息被窃听者拦截的可能性。特别是,知识首先窃听者的信道状态信息(CSI),我们找到最佳的波形和传输能量,最小化的信号与干扰加噪声比(SINR)在窃听者的最大SINR线性滤波器的输出,而在同一时间提供一个所需的预定义的SINR在其自己的最大SINR滤波器的输出的接收器。接下来,如果窃听者的CSI的先验知识是不可用的,我们设计的波形,最大化的能量可用于产生干扰窃听者,称为人工噪声(AN),而预期的接收机的SINR保持在预先指定的水平。安全波形设计问题的扩展到多个预期的接收器也进行了研究和半定松弛(SDR)-一种基于凸优化的近似技术-被用来解决所产生的NP难设计问题。广泛的仿真研究证实了我们的分析性能预测,并说明了所设计的波形的好处,确保单输入单输出(SISO)传输和组播。

英文摘要:

Wireless physical-layer security is an emerging field of research aiming at preventing eavesdropping in an open wireless medium. In this paper, we propose a novel waveform design approach to minimize the likelihood that a message transmitted between trusted single-antenna nodes is intercepted by an eavesdropper. In particular, with knowledge first of the eavesdropper's channel state information (CSI), we find the optimum waveform and transmit energy that minimize the signal-to-interference-plus-noise ratio (SINR) at the output of the eavesdropper's maximum-SINR linear filter, while at the same time provide the intended receiver with a required pre-specified SINR at the output of its own max-SINR filter. Next, if prior knowledge of the eavesdropper's CSI is unavailable, we design a waveform that maximizes the amount of energy available for generating disturbance to eavesdroppers, termed artificial noise (AN), while the SINR of the intended receiver is maintained at the pre-specified level. The extensions of the secure waveform design problem to multiple intended receivers are also investigated and semidefinite relaxation (SDR) -an approximation technique based on convex optimization- is utilized to solve the arising NP-hard design problems. Extensive simulation studies confirm our analytical performance predictions and illustrate the benefits of the designed waveforms on securing single-input single-output (SISO) transmissions and multicasting.

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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