Open AccessProbabilistic model for the analysis of elastic session duration in wireless networks
Author(s) -
Eduard Sopin,
Anastasia Daraseliya,
Sergey Shorgin
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2134/1/012029
Subject(s) - session (web analytics) , probabilistic logic , computer science , base station , duration (music) , cumulative distribution function , wireless network , wireless , computer network , statistical model , real time computing , telecommunications , probability density function , statistics , mathematics , artificial intelligence , acoustics , physics , world wide web
In wireless networks, the bitrate received by a user session depends not only on the fraction of allocated resources of the base station but also on the number of factors affecting the signal-to-noise ratio. These factors include a distance between a mobile device and the base station, walls, buildings between them, etc. As a result, the bitrate of elastic sessions may differ tenfold. In this paper, we develop a probabilistic model that captures the main specifics of the data transmission through a wireless network by introducing the random serving rate coefficients concept. With the help of the model, we derived the cumulative distribution function of the elastic session duration.