Coding and Information-Theoretic Aspects of Multiple Antenna Communication Systems
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Future wireless networks will be required to transmit real-time multimedia data reliably with high speed and low latency. This demands new approaches to the design and analysis of wireless networks. In this context, multiple antenna architectures are a promising solution which provide wireless systems with a high degree of functionality, adaptability, capacity, and robustness. However, efficient use of these systems is possible only by solving a number of critical problems. In this dissertation, we focus on coding and information theoretic aspects of multiple antenna systems. Knowledge in these areas provides us with guidelines into analysis and design of systems, reveals inherent limitations, pinpoints problems and opportunities for improvement, and also allows for rigorous argument and justification of observations. We present novel results on multiple antenna communication systems with both theoretical and practical impacts. In the area of coding theory, performance limits and error bounds for space-time codes will be discussed, along with guidelines for systematic design of space-time codes in the presence of the channel correlation profile. In the area of information theory, a unified approach to the capacity analysis of multiple antenna channels will be discussed. We also present a novel partial ordering relation on fading channels that is helpful in information theoretic analysis of compound and non-stationary channels. The results of the dissertation can be generalized to multiple-user channels. This could lead to a solid understanding of fundamental limits of wireless systems and opportunities for opening new trends and paradigms for future generations of wireless networks.