Skip to main content

Kinetic Approach to Elasticity Analysis of D2D Links Quality Indicators Under Non-stationary Random Walk Mobility Model

  • Conference paper
  • First Online:
Internet of Things, Smart Spaces, and Next Generation Networks and Systems (NEW2AN 2018, ruSMART 2018)

Abstract

In device-to-device communications, the link quality indicators, such as signal-to-interference ratio (SIR) is heavily affected by mobility of users. Conventionally, the mobility model is assumed to be stationary. In this paper, we use kinetic theory to analyze evolution of probability distribution function parameters of SIR in D2D environment under non-stationary mobility of users. Particularly, we concentrate on elasticity of the SIR moments with respect to parameters of Fokker-Planck equation. The elasticity matrix for average SIR value, SIR variance and time periods, when SIR values is higher than a certain threshold are numerically constructed. Our numerical results demonstrate that the main kinetic parameter affecting SIR behavior is diffusion coefficient. The influence of the drift is approximately ten times less.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Fedorov, S.L., et al.: SIR distribution in D2D environment with non-stationary mobility of users. In: Paprika, Z.Z., et al. (Eds.) Proceedings 31st European Conference on Modelling and Simulation (ECMS), pp. 720–725 (2017)

    Google Scholar 

  2. Ivchenko, A., Orlov, Yu., Samouylov, A., Molchanov, D., Gaidamaka, Yu.: Characterizing time-dependent variance and coefficient of variation of SIR in D2D connectivity. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds.) NEW2AN/ruSMART/NsCC -2017. LNCS, vol. 10531, pp. 526–535. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-67380-6_49

    Chapter  Google Scholar 

  3. Orlov, Yu., Pleshakov, R., Gaidamaka, Yu.: Software complex for modeling non-stationary event flows. In: Proceedings of the 9th International Congress on Ultra Modern Telecommunications and Control Systems (ICUMT), pp. 112–116 (2017)

    Google Scholar 

  4. Petrov, V., Moltchanov, D., Kustarev, P., Jornet, J.M., Koucheryavy, Y.: On the use of integral geometry for interference modeling and analysis in wireless networks. IEEE Commun. Lett. 20, 2530–2533 (2016)

    Article  Google Scholar 

  5. Samuylov, A., et al.: Analytical performance estimation of network-assisted D2D communications in urban scenarios with rectangular cells. In: Transactions on Emerging Telecommunications Technologies, vol. 28, no. 2 (2017)

    Google Scholar 

  6. Orlov, Yu.N, Fedorov, S.L.: Sample distribution function construction for non-stationary time-series forecasting. Matem. Mod. 29(5), 61–72 (2017)

    MATH  Google Scholar 

  7. Orlov, Yu.N.: Kinetic Methods for Investigating Time-Dependent Time Series, p. 276. MIPT, Moscow (2014)

    Google Scholar 

  8. Andersen, S.E.: On sums of symmetrically dependent random variables. Scand. Aktuarietikskr. 36, 123–138 (1953)

    MathSciNet  MATH  Google Scholar 

  9. Skorokhod, A.V.: Random Processes with Independent Derivatives, p. 280. Nauka, Moscow (1964)

    Google Scholar 

Download references

Acknowledgement

The publication has been prepared with the support of the “RUDN University Program 5-100” and funded by RFBR according to the research projects No. 17-07-00845, 18-37-00380. This work has been developed within the framework of the COST Action CA15104, Inclusive Radio Communication Networks for 5G and beyond (IRACON).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Andrey K. Samuylov .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Samuylov, A.K. et al. (2018). Kinetic Approach to Elasticity Analysis of D2D Links Quality Indicators Under Non-stationary Random Walk Mobility Model. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN ruSMART 2018 2018. Lecture Notes in Computer Science(), vol 11118. Springer, Cham. https://doi.org/10.1007/978-3-030-01168-0_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-01168-0_21

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01167-3

  • Online ISBN: 978-3-030-01168-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics