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State University of New York at Buffalo

Stochastic Geometry-based Analysis of Emerging Network Technologies: from Millimeter-wave Cellular to Nano-optical Networks

Abstract

dc:description

Ph.D.

Degree

thesis:*
Grantor dc:publisher
State University of New York at Buffalo
Year dc:date
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Wu, Shuanshuan; 0000-0002-4961-7496
Contributors dc:contributor
  • Mastronarde, Nicholas
  • Electrical Engineering

Subjects

dc:subject × 1

Rights

dc:rights
Statement 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.
Language dc:language
eng

Identifiers

dc:identifier.*
Handle dc:identifier
http://hdl.handle.net/10477/78116
OAI identifier oai:identifier
oai:ubir.buffalo.edu:10477/78116

Chain of custody

source
Harvested from
Buffalo
Base URL
ubir.buffalo.edu/oai/request
Last updated
2026-07-27
Source record
OAI-PMH GetRecord
citation

Wu, Shuanshuan; 0000-0002-4961-7496. Stochastic Geometry-based Analysis of Emerging Network Technologies: from Millimeter-wave Cellular to Nano-optical Networks. State University of New York at Buffalo, 2018. http://hdl.handle.net/10477/78116