Analysis, design and optimization of robust and secure wireless communication systems

无线通信是现代社会的重要组成部分，也是它在不同层面上运作的方式。多媒体内容的广泛可用性对支持的速率和服务质量提出了很高的要求。大量的敏感事务需要这种系统提供高度的安全性。用户的高度移动性使得无线传播信道高度动态/不可预测，因此要求系统的自适应和健壮设计。这三个关键挑战将在拟议的项目中解决。具体地说，分析、设计和优化安全可靠的无线通信系统的方法将被研究。***为了满足高速率的需求，无线多输入多输出（MIMO，或多天线）系统因其频谱效率高而被学术界和工业界广泛采用。无线频道的广播性质引起了人们对其安全方面的极大兴趣。虽然密码学为确保通信的保密性提供了有价值的工具，但它也有许多缺点（泄露密钥等）。物理层安全最近作为一种强大的方法出现，它是密码学的补充，并且可以解决后者的许多缺点。因此，将使用信息和通信理论的工具来研究MIMO信道的物理层安全方法。特别是，将开发最佳（自适应和鲁棒）传输技术，这将在高度可变的信道上提供高数据速率，同时确保传输数据的保密性。本文将考虑无线传播信道的真实世界（非平稳、非遍历）特性及其估计的不准确性。我们将使用强大的凸优化工具。******总体而言，该项目将解决安全无线通信的三个关键和相互关联的方面：其信息理论基础，最佳信令策略和实际实施问题（例如对信道不确定性的鲁棒性）*****

Wireless communications are an essential part of modern society and the way it functions at different layers. Wide availability of multi-media content puts a great demand on the supported rates and quality-of-service. A large number of sensitive transactions require a high degree of security offered by such systems. A high mobility of users makes the wireless propagation channel highly dynamic/unpredictable and hence dictates an adaptive and robust design of systems. These 3 key challenges will be addressed in the proposed project. Specifically, methods for analysis, design and optimization of secure and robust wireless communication systems will be studied.***To address the requirement for high rates, wireless multiple-input multiple-output (MIMO, or multi-antenna) systems are widely adopted by academia and industry due to their high spectral efficiency. The broadcast nature of wireless channels stimulated significant interest in their security aspects. While cryptography provides valuable tools for ensuring the secrecy of communications, it also comes with a number of drawbacks (leaked keys etc.). Physical-layer security has recently emerged as a powerful approach, which is complementary to cryptography and which allows to address a number of the shortcomings of the latter. Hence, the physical-layer security approach to MIMO channels will be studied using the tools of information and communication theory. In particular, optimal (adaptive and robust) transmission techniques will be developed, which will provide high data rates over highly-variable channels ensuring the secrecy of the transmitted data at the same time. Real-world (non-stationary, non-ergodic) nature of the wireless propagation channel as well as its estimation inaccuracy will be taken into account. The powerful tools of convex optimization will be used.******Overall, the project will address three key and inter-related aspects of secure wireless communications: its information-theoretic foundations, optimal signaling strategies and practical implementation issues (e.g. robustness to channel uncertainty).*****