{"id":{"repo_id":"buffalo","oai_identifier":"oai:ubir.buffalo.edu:10477/78116"},"canonical_url":"https://search.dev.ndltd.org/etd/buffalo/oai:ubir.buffalo.edu:10477/78116","repository":{"repo_id":"buffalo","name":"Buffalo","base_url":"https://ubir.buffalo.edu/oai/request"},"display":{"title":"Stochastic Geometry-based Analysis of Emerging Network Technologies: from Millimeter-wave Cellular to Nano-optical Networks","abstract":"Ph.D.","abstract_html":"Ph.D.","abstract_has_math":false,"creators":["Wu, Shuanshuan; 0000-0002-4961-7496"],"institution":"State University of New York at Buffalo","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Mastronarde, Nicholas","Electrical Engineering"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2018,"date_issued":"2018-06-28T20:34:19Z","date_published":"2018-06-28T20:34:19Z","updated_at":"2026-07-27T19:05:09Z","subjects":["electrical engineering"],"languages":["eng"],"rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. 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University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/10477/78116"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Ph.D.","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."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Stochastic Geometry-based Analysis of Emerging Network Technologies: from Millimeter-wave Cellular to Nano-optical Networks"]}]}],"canonical_facts":{"dc:contributor":["Mastronarde, Nicholas","Electrical Engineering"],"dc:creator":["Wu, Shuanshuan; 0000-0002-4961-7496"],"dc:date":["2018-06-28T20:34:19Z","2018","2018-05-18 10:05:24"],"dc:description":["Ph.D.","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."],"dc:format":["application/pdf"],"dc:identifier":["http://hdl.handle.net/10477/78116"],"dc:language":["eng"],"dc:publisher":["State University of New York at Buffalo"],"dc:rights":["Users of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.","Copyright retained by author."],"dc:subject":["electrical engineering"],"dc:title":["Stochastic Geometry-based Analysis of Emerging Network Technologies: from Millimeter-wave Cellular to Nano-optical Networks"],"dc:type":["Text","Dissertation"]},"updated_at":"2026-07-27T19:05:09Z"}