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Optimizing spatial throughput in device-to-device networks

Holger Paul Keeler 1 Bartłomiej Błaszczyszyn 2 Paul Mühlethaler 3
2 DYOGENE - Dynamics of Geometric Networks
DI-ENS - Département d'informatique de l'École normale supérieure, CNRS - Centre National de la Recherche Scientifique : UMR 8548, Inria de Paris
Abstract : Results are presented for optimizing device-to-device communications in cellular networks, while maintaining spectral efficiency of the base-station-to-device downlink channel. We build upon established and tested stochastic geometry models of signal-to-interference ratio in wireless networks based on the Poisson point process, which incorporate random propagation effects such as fading and shadowing. A key result is a simple formula, allowing one to optimize the device-to-device spatial throughput by suitably adjusting the proportion of active devices. These results can lead to further investigation as they can be immediately applied to more sophisticated models such as studying multi-tier network models to address coverage in closed access networks.
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Contributor : Bartlomiej Blaszczyszyn <>
Submitted on : Monday, April 10, 2017 - 9:01:45 PM
Last modification on : Monday, March 18, 2019 - 1:14:25 PM

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  • HAL Id : hal-01505044, version 1
  • ARXIV : 1612.09198



Holger Paul Keeler, Bartłomiej Błaszczyszyn, Paul Mühlethaler. Optimizing spatial throughput in device-to-device networks. WIOPT/SPASWIN 2017 - Workshop on Spatial Stochastic Models 
for Wireless Networks, IEEE, May 2017, Paris, France. pp.5. ⟨hal-01505044⟩



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