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发挥作用的方式。多媒体内容的广泛可获得性对支持的速率和服务质量提出了很大的要求。大量敏感交易需要此类系统提供高度的安全性。用户的高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，将研究安全和健壮的无线通信系统的分析、设计和优化方法。 为了满足高速率的需求，无线多输入多输出(MIMO，或多天线)系统由于其高频谱效率而被学术界和工业界广泛采用。无线频道的广播性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宝贵的工具，但它也伴随着一些缺点(密钥泄露等)。物理层安全最近已成为一种强大的方法，它是对密码学的补充，并允许解决后者的许多缺点。因此，本文将利用信息论和通信学的工具，对MIMO信道的物理层安全方法进行研究。特别是，将开发最佳(自适应和稳健的)传输技术，其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。无线传播信道的真实世界(非平稳、非遍历)特性以及其估计的不准确性将被考虑在内。将使用凸优化的强大工具。 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，对信道不确定性的健壮性)。

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).