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Characterizing Time-Dependent Variance and Coefficient of Variation of SIR in D2D Connectivity

  • Anastasia Ivchenko
  • Yuri Orlov
  • Andrey SamouylovEmail author
  • Dmitri Molchanov
  • Yuliya Gaidamaka
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10531)

Abstract

Attempting to build a uniform theory of mobility-dependent characterization of wireless communications systems, in this paper, we address time-dependent analysis of the signal-to-interference ratio (SIR) in device-to-device (D2D) communications scenario. We first introduce a general kinetic-based mobility model capable of representing the movement process of users with a wide range of mobility characteristics including conventional, fractal and even non-stationary ones. We then derive the time-dependent evolution of mean, variance and coefficient of variation of SIR metric. We demonstrate that under non-stationary mobility behavior of communicating entities the SIR may surprisingly exhibit stationary behavior.

Keywords

SIR Mobility model Time dependence Fokker-Plank equation 

Notes

Acknowledgement

The publication was financially supported by the Ministry of Education and Science of the Russian Federation (the Agreement number 02.a03.21.0008) and by RFBR (research projects Nos. 15-07-03051, 17-07-00845).

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Anastasia Ivchenko
    • 1
  • Yuri Orlov
    • 1
  • Andrey Samouylov
    • 2
    • 3
    Email author
  • Dmitri Molchanov
    • 2
    • 3
  • Yuliya Gaidamaka
    • 3
    • 4
  1. 1.Department of Kinetic EquationsKeldysh Institute of Applied MathematicsMoscowRussia
  2. 2.Department of Electronics and Communications EngineeringTampere University of TechnologyTampereFinland
  3. 3.Department of Applied Probability and InformaticsPeoples’ Friendship University of Russia (RUDN University)MoscowRussia
  4. 4.Institute of Informatics ProblemsFederal Research Center “Computer Science, and Control” of the RASMoscowRussia

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