Dissertation in the field of Communications Engineering, Zhong Zheng
The title of thesis is Statistical Analysis of Cascaded Multipath Fading Channels
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In wireless communications, the information-bearing signals are transmitted in the form of electromagnetic radiation. While propagating through surrounding environments, such as residential complex, offices, and streets etc., the signals are distorted by complicated electromagnetic mechanisms. Surprisingly, the overall impairment of the signals can be accurately captured by a simple statistical principle – the Central Limit Theorem, which becomes a cornerstone in many statistical channel models.
In the new era of wireless communications, the MIMO technology has shown promising performance improvement by exploiting the spatial signal space. Although the analysis of MIMO channel may look deceptively complex due to additional variables, the underlying statistical behaviors can be easily predicted by a few universality laws. In this thesis, we show that if the signals experience a sequence of distortions, termed cascaded channels, the accumulated impairments behave differently compared to the classic models. Some novel statistical toolkits, such as orthogonal polynomials, random matrix theory, and free probability theory, are utilized to analyze the statistical properties of the cascaded fading channels.
Opponent: Dr. Antonia Maria Tulino, Bell Labs, USA
Supervisor: Professor Jyri Hämäläinen, Aalto University School of Electrical Engineering, Department of Communications and Networking
Contact information:
Zhong Zheng
zhong.zheng@@aalto.fi