Time-dependent SIR modeling for D2D communications in indoor deployments
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
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Time-dependent SIR modeling for D2D communications in indoor deployments. / Orlov, Yurii; Zenyuk, Dmitry; Samuylov, Andrey; Moltchanov, Dmitri; Andreev, Sergey; Romashkova, Oxana; Gaidamaka, Yuliya; Samouylov, Konstantin.
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
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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
SP - 726
EP - 731
BT - Proceedings - 31st European Conference on Modelling and Simulation, ECMS 2017
PB - EUROPEAN COUNCIL FOR MODELLING AND SIMULATION
ER -