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Channel Input Design for Secure Transmission over Fast Fading Channels with Statistical-CSIT

利用统计 CSIT 在快衰落信道上进行安全传输的信道输入设计

基本信息

批准号：
329361154
负责人：
Dr.-Ing. Pin-Hsun Lin, Ph.D.
金额：
--
依托单位：
Institut für Nachrichtentechnik
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2017
资助国家：
德国
起止时间：
2016-12-31 至 2020-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/329361154?language=en
关键词：
Channel Input Design Secure Transmission

项目摘要

In this project fundamental problems of the holistic system design of secure communication systems will be studied using fast fading channels with statistic CSI at the transmitter. Particular focus is placed on the channel input. At first, new criteria will be designed to identify and characterize the degradedness of wiretap channels to avoid complicated channel prefixing. Secondly, optimized signal processing will be developed regarding the channel input distribution and channel prefixing to achieve higher secrecy rates in the non degraded case.In this project, the widespread, but in many cases unrealistic assumption of perfect channel knowledge is dropped. Instead, statistical channel knowledge will be assumed, which can be obtained a priori. When Alice transmits messages to her legitimate communication partner, she can treat the closest but unknown user as an eavesdropper and use the statistical channel knowledge to generate her wiretap codebook. Apart from a few special cases, generally the channel input distribution is unknown in the case of imperfect channel knowledge. These will be examined in the course of the project. In case of imperfect knowledge of the eavesdropper's channel, artificial noise is added to the signal to reduce the signal to noise ratio at the eavesdropper. However, there are several myths about artificial noise. Among others there are the mistaken belief that if the transmitter has not perfect channel knowledge of the eavesdropping channel in case of fast fading channels, artificial noise has to be used, and that the signal and the artificial noise must be Gaussian. For these statements, there are no analytical proofs. On the contrary, they may be incorrect under certain conditions. We examine these myths and derive necessary and sufficient conditions for the use of artificial noise, with respect to the degradedness of the wiretap channel. As long as the wiretap channel is degraded, a signal processing in the form of artificial noise is not necessary; therefore, the system design can be considerably simplified. In the case of non-degraded wiretap channels other signal processing capabilities should be examined instead of the Gaussian distribution of the signal and the artificial noise. In this case, both the input distribution, and the channel prefixing will be considered. The project will therefore develop a theoretically based, systematic signal processing for general wiretap channels with statistical channel knowledge at the transmitter, which will allow efficient system design and efficient resource allocation using physical layer security algorithms.

本课题将研究在发射机端具有统计CSI的快速衰落信道下安全通信系统整体设计的基本问题。特别的重点放在通道输入上。首先，将设计新的标准来识别和表征窃听信道的退化，以避免复杂的信道前缀。其次，针对信道输入分配和信道前缀进行优化信号处理，在非降级情况下实现更高的保密率。在这个项目中，普遍的，但在很多情况下不切实际的假设完美的渠道知识被丢弃。相反，将假设统计渠道知识，这可以先验地获得。当Alice向她的合法通信伙伴发送消息时，她可以将最接近但未知的用户视为窃听者，并使用统计信道知识生成她的窃听码本。除少数特殊情况外，在渠道知识不完全的情况下，一般渠道输入分布是未知的。这些将在项目过程中进行检验。在不完全了解窃听者信道的情况下，在信号中加入人工噪声，降低窃听者处的信噪比。然而，关于人造噪音有几个误解。其中有一种错误的观点，认为在快速衰落的信道中，如果发射机对窃听信道没有完善的信道知识，就必须使用人工噪声，并且信号和人工噪声必须是高斯的。对于这些陈述，没有分析证明。相反，在某些条件下，它们可能是不正确的。我们研究了这些神话，并得出了使用人工噪声的充分必要条件，考虑到窃听信道的退化。只要窃听信道被降级，就不需要以人工噪声的形式进行信号处理；因此，系统设计可以大大简化。在非降级窃听信道的情况下，应该检查其他信号处理能力，而不是信号的高斯分布和人工噪声。在这种情况下，输入分布和信道前缀都将被考虑。因此，该项目将开发一种基于理论的、系统的信号处理，用于一般窃听信道，并在发射器上具有统计信道知识，这将允许使用物理层安全算法进行有效的系统设计和有效的资源分配。