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Title:
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Time-Dependent SIR Modeling For D2D Communications In
Indoor Deployments
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Authors:
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Yurii Orlov, Dmitry Zenyuk, Andrey Samuylov, Dmitri Moltchanov,
Sergey Andreev, Oxana Romashkova,
Yuliya Gaidamaka,
Konstantin Samouylov
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Published in:
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(2017).ECMS 2017 Proceedings
Edited by: Zita Zoltay
Paprika, Péter Horák, Kata Váradi, Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics
European Council for Modeling and Simulation. doi:10.7148/2017
ISBN:
978-0-9932440-4-9/
ISBN:
978-0-9932440-5-6 (CD)
31st European Conference on Modelling and Simulation,
Budapest, Hungary, May 23rd
– May 26th, 2017
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Citation
format:
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Yurii Orlov, Dmitry Zenyuk, Andrey Samuylov, Dmitri Moltchanov,
Sergey Andreev, Oxana Romashkova,
Yuliya Gaidamaka,
Konstantin Samouylov (2017). Time-Dependent SIR
Modeling For D2D Communications In Indoor Deployments, ECMS 2017 Proceedings
Edited by: Zita Zoltay
Paprika, Péter Horák, Kata Váradi, Péter Tamás Zwierczyk, Ágnes Vidovics-Dancs, János Péter Rádics European Council
for Modeling and Simulation. doi:
10.7148/2017-0726
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DOI:
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https://doi.org/10.7148/2017-0726
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Abstract:
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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 time-dependent user-centric performance metrics
including the link data rate and the outage time.
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Full
text:
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