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• W2963356707 abstract "Stochastic geometry models of wireless networks based on Poisson point processes are increasingly being developed with a focus on studying various signal-to-interference-plus-noise ratio (SINR) values. We show that the SINR values experienced by a typical user with respect to different base stations of a Poissonian cellular network are related to a specific instance of the so-called two-parameter Poisson-Dirichlet process. This process has many interesting properties as well as applications in various fields. We give examples of several results proved for this process that are of immediate or potential interest in the development of analytic tools for cellular networks. Some of them simplify or are akin to certain results that are being developed in the network literature. By doing this we hope to motivate further research and use of Poisson-Dirichlet processes in this new setting." @default.
• W2963356707 created "2019-07-30" @default.
• W2963356707 creator A5028666798 @default.
• W2963356707 creator A5033480448 @default.
• W2963356707 date "2014-10-01" @default.
• W2963356707 modified "2023-10-10" @default.
• W2963356707 title "SINR in Wireless Networks and the Two-Parameter Poisson-Dirichlet Process" @default.
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• W2963356707 doi "https://doi.org/10.1109/lwc.2014.2345691" @default.
• W2963356707 hasPublicationYear "2014" @default.
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