Time-dependent SIR modeling for D2D communications in indoor deployments

Yurii Orlov; Dmitry Zenyuk; Andrey Samuylov; Dmitri Moltchanov; Sergey Andreev; Oxana Romashkova; Yuliya Gaidamaka; Konstantin Samouylov

Time-dependent SIR modeling for D2D communications in indoor deployments

Yurii Orlov
, Dmitry Zenyuk
, Andrey Samuylov
, Dmitri Moltchanov
, Sergey Andreev
, Oxana Romashkova
, Yuliya Gaidamaka
, Konstantin Samouylov

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

20 Citations (Scopus)

Abstract

Device-to-device (D2D) communications is expected to become an integral part of the future 5G cellular systems. The connectivity performance of D2D sessions is heavily affected by the dynamic changes in the signal-to-interference ratio (SIR) caused by random movement of communicating pairs over a certain bounded area of interest. In this paper, taking into account the recent findings on the movement of users over a landscape, we characterize the probability density function (pdf) of SIR under stochastic motion of communicating D2D pairs on planar fractals. We demonstarte that the pdf of SIR depends on the fractal dimension and the spatial density of trajectories. The proposed model can be further used to investigate timedependent user-centric performance metrics including the link data rate and the outage time.

Original language	English
Title of host publication	Proceedings - 31st European Conference on Modelling and Simulation, ECMS 2017
Publisher	EUROPEAN COUNCIL FOR MODELLING AND SIMULATION
Pages	726-731
Number of pages	6
ISBN (Electronic)	9780993244049
Publication status	Published - 2017
Publication type	A4 Article in conference proceedings
Event	EUROPEAN CONFERENCE ON MODELLING AND SIMULATION - Duration: 1 Jan 1900 → …

Conference

Conference	EUROPEAN CONFERENCE ON MODELLING AND SIMULATION
Period	1/01/00 → …

Keywords

Cellular network
D2D communications
Fractal motion
SIR probability density function
Time-dependence

Publication forum classification

Publication forum level 1

ASJC Scopus subject areas

Modelling and Simulation

Cite this

@inproceedings{fc7480a9ac924520b7b892d832dac25b,

title = "Time-dependent SIR modeling for D2D communications in indoor deployments",

abstract = "Device-to-device (D2D) communications is expected to become an integral part of the future 5G cellular systems. The connectivity performance of D2D sessions is heavily affected by the dynamic changes in the signal-to-interference ratio (SIR) caused by random movement of communicating pairs over a certain bounded area of interest. In this paper, taking into account the recent findings on the movement of users over a landscape, we characterize the probability density function (pdf) of SIR under stochastic motion of communicating D2D pairs on planar fractals. We demonstarte that the pdf of SIR depends on the fractal dimension and the spatial density of trajectories. The proposed model can be further used to investigate timedependent user-centric performance metrics including the link data rate and the outage time.",

keywords = "Cellular network, D2D communications, Fractal motion, SIR probability density function, Time-dependence",

author = "Yurii Orlov and Dmitry Zenyuk and Andrey Samuylov and Dmitri Moltchanov and Sergey Andreev and Oxana Romashkova and Yuliya Gaidamaka and Konstantin Samouylov",

year = "2017",

language = "English",

pages = "726--731",

booktitle = "Proceedings - 31st European Conference on Modelling and Simulation, ECMS 2017",

publisher = "EUROPEAN COUNCIL FOR MODELLING AND SIMULATION",

note = "EUROPEAN CONFERENCE ON MODELLING AND SIMULATION ; Conference date: 01-01-1900",

}

Orlov, Y, Zenyuk, D, Samuylov, A , Moltchanov, D , Andreev, S, Romashkova, O, Gaidamaka, Y & Samouylov, K 2017, Time-dependent SIR modeling for D2D communications in indoor deployments. in Proceedings - 31st European Conference on Modelling and Simulation, ECMS 2017. EUROPEAN COUNCIL FOR MODELLING AND SIMULATION, pp. 726-731, EUROPEAN CONFERENCE ON MODELLING AND SIMULATION, 1/01/00.

Time-dependent SIR modeling for D2D communications in indoor deployments. / Orlov, Yurii; Zenyuk, Dmitry; Samuylov, Andrey et al.
Proceedings - 31st European Conference on Modelling and Simulation, ECMS 2017. EUROPEAN COUNCIL FOR MODELLING AND SIMULATION, 2017. p. 726-731.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Time-dependent SIR modeling for D2D communications in indoor deployments

AU - Orlov, Yurii

AU - Zenyuk, Dmitry

AU - Samuylov, Andrey

AU - Moltchanov, Dmitri

AU - Andreev, Sergey

AU - Romashkova, Oxana

AU - Gaidamaka, Yuliya

AU - Samouylov, Konstantin

PY - 2017

Y1 - 2017

N2 - Device-to-device (D2D) communications is expected to become an integral part of the future 5G cellular systems. The connectivity performance of D2D sessions is heavily affected by the dynamic changes in the signal-to-interference ratio (SIR) caused by random movement of communicating pairs over a certain bounded area of interest. In this paper, taking into account the recent findings on the movement of users over a landscape, we characterize the probability density function (pdf) of SIR under stochastic motion of communicating D2D pairs on planar fractals. We demonstarte that the pdf of SIR depends on the fractal dimension and the spatial density of trajectories. The proposed model can be further used to investigate timedependent user-centric performance metrics including the link data rate and the outage time.

AB - Device-to-device (D2D) communications is expected to become an integral part of the future 5G cellular systems. The connectivity performance of D2D sessions is heavily affected by the dynamic changes in the signal-to-interference ratio (SIR) caused by random movement of communicating pairs over a certain bounded area of interest. In this paper, taking into account the recent findings on the movement of users over a landscape, we characterize the probability density function (pdf) of SIR under stochastic motion of communicating D2D pairs on planar fractals. We demonstarte that the pdf of SIR depends on the fractal dimension and the spatial density of trajectories. The proposed model can be further used to investigate timedependent user-centric performance metrics including the link data rate and the outage time.

KW - Cellular network

KW - D2D communications

KW - Fractal motion

KW - SIR probability density function

KW - Time-dependence

M3 - Conference contribution

AN - SCOPUS:85021780590

SP - 726

EP - 731

BT - Proceedings - 31st European Conference on Modelling and Simulation, ECMS 2017

PB - EUROPEAN COUNCIL FOR MODELLING AND SIMULATION

T2 - EUROPEAN CONFERENCE ON MODELLING AND SIMULATION

Y2 - 1 January 1900

ER -

Time-dependent SIR modeling for D2D communications in indoor deployments

Abstract

Conference

Keywords

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ASJC Scopus subject areas

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