Using beta distributions for modeling distances in random finite networks

Tutkimustuotos: Lehtiartikkeli

Tutkijat

Organisaatiot

Kuvaus

Distance distributions in random networks affect various performance metrics and operating protocols. For scenarios with the uniform node distribution, the statistical models of distances have been derived for common shapes of operating areas such as disks, rectangles, and regular polygons. Fewer results have been reported for scenarios where node distributions are nonuniform. Often, the closed-form statistical models are described by complicated expressions making their further usage challenging. In this work, we study the application of beta distributions as substitutes to statistical models of distances. We show that this approximation results in accurate and analytically tractable estimates for different operating scenarios. The proposed approach provides uniform solutions to design and analysis tasks for different node distributions and shapes of operating areas.

Yksityiskohdat

AlkuperäiskieliEnglanti
Artikkeli2509971
Sivut308-311
Sivumäärä4
JulkaisuIEEE Communications Letters
Vuosikerta20
Numero2
TilaJulkaistu - 1 helmikuuta 2016
OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

ID: 1728994