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Large-scale Wireless Networks: Stochastic Geometry and Ordering

Abstract Recently, the location of the nodes in wireless networks has been modeled as point processes. In this dissertation, various scenarios of wireless communications in large-scale networks modeled as point processes are considered. The first part of the dissertation considers signal reception and detection problems with symmetric alpha stable noise which is from an interfering network modeled as a Poisson point process. For the signal reception problem, the performance of space-time coding (STC) over fading channels with alpha stable noise is studied. We derive pairwise error probability (PEP) of orthogonal STCs. For general STCs, we propose a maximum-likelihood (ML) receiver, and its approximation. The resulting asymptotically optimal receiver... (more)
Created Date 2014
Contributor Lee, Junghoon (Author) / Tepedelenlioglu, Cihan (Advisor) / Spanias, Andreas (Committee member) / Reisslein, Martin (Committee member) / Kosut, Oliver (Committee member) / Arizona State University (Publisher)
Subject Electrical engineering / Stochastic Geometry / Stochastic Ordering / Wireless Communications / Wireless Networks
Type Doctoral Dissertation
Extent 145 pages
Language English
Reuse Permissions All Rights Reserved
Note Ph.D. Electrical Engineering 2014
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis