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arXiv 2011.06443eess.SP
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Gaussian信道的安全识别与多天线Gaussian信道的识别

Secure Identification for Gaussian Channels and Identification for Multi-Antenna Gaussian Channels

Wafa Labidi, Christian Deppe, Holger Boche

AI总结:

研究Gaussian信道及MIMO Gaussian信道的安全识别问题,基于wiretap信道模型提出编码与信号处理方案,并确定安全识别容量。

摘要:

现代通信中的新应用正要求鲁棒且超可靠的低延迟信息交换,例如机器到机器和人到机器通信。对于许多这类应用,Ahlswede和Dueck的识别方法比Shannon提出的经典消息传输方案高效得多。以往的研究主要集中在离散信道上的识别。对于离散信道,已证明识别在信道不确定性下是鲁棒的。此外,还考虑了能够安全且鲁棒地抵御干扰攻击的最优识别方案。然而,连续信道方面尚未建立任何结果。这就是我们聚焦连续情形的原因:Gaussian信道因其已知的实际相关性。我们研究Gaussian信道上的安全识别。可证明的安全通信对未来通信系统极具吸引力。实现安全通信的一项关键技术是基于信息论安全的物理层安全。我们用wiretap信道对此进行建模。特别地,我们为Gaussian wiretap信道(GWC)提供了一种合适的编码方案,并确定了相应的安全识别容量。我们还考虑了多输入多输出(MIMO)Gaussian信道,并提供了一种高效的信号处理方案。该方案允许将信号处理与Gaussian编码分离。

英文摘要:

New applications in modern communications are demanding robust and ultra-reliable low latency information exchange such as machine-to-machine and human-to-machine communications. For many of these applications, the identification approach of Ahlswede and Dueck is much more efficient than the classical message transmission scheme proposed by Shannon. Previous studies concentrate mainly on identification over discrete channels. For discrete channels, it was proved that identification is robust under channels uncertainty. Furthermore, optimal identification schemes that are secure and robust against jamming attacks have been considered. However, no results for continuous channels have yet been established. That is why we focus on the continuous case: the Gaussian channel for its known practical relevance. We deal with secure identification over Gaussian channels. Provable secure communication is of a high interest for future communication systems. A key technique for implementing secure communication is the physical layer security based on information theoretic security. We model this with the wiretap channel. In particular, we provide a suitable coding scheme for the Gaussian wiretap channel (GWC) and determine the corresponding secure identification capacity. We also consider Multiple-Input Multiple-Output (MIMO) Gaussian channels and provide an efficient signal-processing scheme. This scheme allows a separation of signal-processing and Gaussian coding.

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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