Stochastic Geometry Analysis of Cellular Networks

DOI10.1017/9781316677339zbMath1393.60003OpenAlexW2799837476MaRDI QIDQ3130533

Bartlomiej Blaszczyszyn, Sayandev Mukherjee, M. Haenggi, Paul Keeler

Publication date: 23 January 2018

Full work available at URL: https://semanticscholar.org/paper/1735506a63ca4b65505ce0589436179d8be21772

Mathematics Subject Classification ID

Geometric probability and stochastic geometry (60D05) Point processes (e.g., Poisson, Cox, Hawkes processes) (60G55) Communication theory (94A05) Research exposition (monographs, survey articles) pertaining to probability theory (60-02)

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The -Delaunay tessellation: Description of the model and geometry of typical cells ⋮ Distance from the nucleus to a uniformly random point in the 0-cell and the typical cell of the Poisson-Voronoi tessellation ⋮ The $\beta$-Delaunay tessellation III: Kendall's problem and limit theorems in high dimensions ⋮ Chase–escape in dynamic device-to-device networks ⋮ Metrics and barycenters for point pattern data

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