Stochastic Geometry-based Analysis of Emerging Network Technologies: from Millimeter-wave Cellular to Nano-optical Networks
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Network modeling and analysis plays an important role in understanding wireless network performance. In contrast to the conventional simulation-based network analysis, stochastic geometry can be used to derive mathematically tractable models of various network performance metrics (e.g., coverage and spectral efficiency). Although stochastic geometry-based analysis has contributed greatly to the understanding of network performance in recent years, its application has been mainly limited to conventional single- and multi-tier cellular networks. In this dissertation, leveraging stochastic geometry, I aim to develop tractable frameworks to address the design challenges in emerging wireless network technologies.