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JOURNALS // Informatika i Ee Primeneniya [Informatics and its Applications] // Archive

Inform. Primen., 2017 Volume 11, Issue 2, Pages 50–58 (Mi ia471)

This article is cited in 5 papers

Modeling the signal-to-interference ratio in a mobile network with moving devices

Yu. V. Gaidamakaab, Yu. N. Orlovc, D. A. Molchanova, A. K. Samuylova

a Peoples' Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Str., Moscow 117198, Russian Federation
b Institute of Informatics Problems, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
c Keldysh Institute of Applied Mathematics of the Russian Academy of Sciences, 4 Miusskaya Sq., Moscow 125047, Russian Federation

Abstract: The goal of the study is to analyze the signal-to-interference ratio (SIR) for device-to-device interaction of devices communication in the 5th generation mobile networks, taking into account the movement of the receiving and transmitting devices in the service area. The SIR value at the receiver of the associated pair is studied as a time-varying random process, and the mathematical model of motion is given by a kinetic equation taking into account the given average speed of the devices, their spatial density, and the maximum allowable communication radius. The measures of performance quality were studied by numerical analysis using SIR simulation of a key channel. The measures are the following: the signal interruption probability for the receiver–transmitter pair, the probability density function of the random variables for the duration of the availability period, and the period of absence of communication. It is shown that the signal interruption probability grows logarithmically as either the average device speed or the number of devices in the service area increases.

Keywords: wireless network; signal-to-interference ratio; device-to-device; stochastic geometry; motion model; kinetic equation; performance measure; signal interruption probability.

Received: 15.04.2017

DOI: 10.14357/19922264170206



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