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

• 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; Channel; Input; Design; Secure; Transmission

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.

在这个项目中，将使用带有统计CSI的快速褪色渠道研究安全通信系统的整体系统设计的基本问题。特别的焦点放在通道输入上。首先，将设计新的标准来识别和表征窃听通道的退化，以避免复杂的通道前缀。其次，将开发有关通道输入分布和通道前缀以在非降解情况下实现较高保密率的优化信号处理。在该项目中，广泛的情况下，但是在许多情况下，删除了完美通道知识的不切实际假设。取而代之的是，将假定统计通道知识，可以先验获得。当爱丽丝将消息传输给她的合法沟通伙伴时，她可以将最接近但未知的用户视为窃听者，并使用统计频道知识来生成她的窃听代码书。除少数特殊情况外，通常在通道知识的情况下，通道输入分布尚不清楚。这些将在项目过程中进行检查。如果不了解窃听通道的知识，则将人造噪声添加到信号中，以降低窃听器处的信号与噪声比。但是，关于人造噪音有几个神话。还有一个错误的信念，即如果发射机在快速褪色的通道中没有窃听通道的完美通道知识，则必须使用人造噪声，并且信号和人造噪声必须是高斯。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必要条件，相对于窃听通道的退化。只要窃听通道退化，就不需要以人造噪声的形式处理信号处理；因此，可以大大简化系统设计。在不缩减的窃听通道的情况下，应检查其他信号处理能力，而不是信号的高斯分布和人造噪声。在这种情况下，将考虑输入分布和通道前缀。因此，该项目将针对发射机的统计通道知识开发基于理论上的，系统的信号处理，这将允许使用物理层安全算法有效的系统设计和有效的资源分配。