Skip to main content

Advertisement

Log in

Performance Analysis of D2D-Aided Underlaying Cellular Networks Based on Poisson Hole Cluster Process

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

D2D (Device-to-Device) communication has become a crucial part of 4G and 5G networks. It can not only decrease the transmit power of user equipments (UEs) and increase area spectral efficiency of cellular networks, but also offload traffic from cellular networks and alleviate scarcity of spectrum resources by using in-band communication. In this paper, we consider a real tele-communication scenario in which the mobile UEs are primarily located in hotspots and cell edges. By integrating Poisson Hole Process with Thomas Cluster Process, a kind of D2D-Aided Underlaying Cellular Networks (D2D-UCNs) is built. In the D2D-UCNs, we first investigate the aggregation interference of the typical UE and D2D user by using stochastic geometry. Subsequently we analyze their coverage probability and area spectral efficiency. The simulation results show that the coverage probability of D2D users and UEs can be effectively guaranteed by establishing exclusion zone, whilst the area spectral efficiency of the D2D-UCNs can be maximized by optimizing the number of simultaneously active D2D links.

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

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

  1. Doppler, K., Rinne, M., Wijting, C., Ribeiro, C. B., & Hugl, K. (2009). Device-to-device communication as an underlay to LTE-advanced networks. IEEE Wireless Communications, 47(12), 42–49.

    Google Scholar 

  2. Lin, X., Andrews, J. G., Ghosh, A., & Ratasuk, R. (2014). An overview of 3GPP device-to-device proximity services. IEEE Communications Magazine, 52(4), 40–48.

    Article  Google Scholar 

  3. George, G., Mungara, R. K., & Lozano, A. (2015). An analytical framework for device-to-device communication in cellular networks. IEEE Transactions on Wireless Communications, 14(11), 6297–6310.

    Article  Google Scholar 

  4. Sakr, A. H., & Hossain, E. (2015). Cognitive and energy harvesting-based D2D communication in cellular networks: Stochastic geometry modeling and analysis. IEEE Transactions on Communications, 63(5), 1867–1880.

    Article  Google Scholar 

  5. Haenggi, M. (2012). Stochastic geometry for wireless networks. Cambridge: Cambridge University Press.

    Book  Google Scholar 

  6. Lin, X., Andrews, J. G., & Ghosh, A. (2014). Spectrum sharing for device-to-device communication in cellular networks. IEEE Transactions on Wireless Communications, 13(12), 6727–6740.

    Article  Google Scholar 

  7. ElSawy, H., Hossain, E., & Alouini, M. S. (2014). Analytical modeling of mode selection and power control for underlay D2D communication in cellular networks. IEEE Transactions on Communications, 62(11), 4147–4161.

    Article  Google Scholar 

  8. Sun, H., Wildemeersch, M., Sheng, M., & Quek, T. Q. (2015). D2D enhanced heterogeneous cellular networks with dynamic TDD. IEEE Transactions on Wireless Communications, 14(8), 4204–4218.

    Article  Google Scholar 

  9. Xin, P. (2016). Research on D2D communication based on space poisson point process and social network [Dissertation]. Beijing: Beijing Jiaotong University.

    Google Scholar 

  10. Lin, X., Ratasuk, R., Ghosh, A., & Andrews, J. G. (2014). Modeling, analysis and optimization of multicast device-to-device transmissions. IEEE Transactions on Wireless Communications, 13(8), 4346–4359.

    Article  Google Scholar 

  11. Feng, H., Wang, H., Xu, X., & Xing, C. (2014). A tractable model for device-to-device communication underlaying multi-cell cellular networks. In IEEE international conference on communications workshops, Sydney (pp. 587–591).

  12. Zhong, Y., & Zhang, W. (2013). Muti-channel hybrid acess femtocells: A stochastic geometric analysis. IEEE Transactions on Communications, 61(7), 3016–3026.

    Article  Google Scholar 

  13. Ganti, R. K., & Haenggi, M. (2009). Interference and outage in clustered wireless ad hoc networks. IEEE Transactions on Information Theory, 55(9), 4067–4086.

    Article  MathSciNet  Google Scholar 

  14. Afshang, M., Dhillon, H. S., & Chong, P. H. J. (2016). Modeling and performance analysis of clustered device-to-device networks. IEEE Transactions on Wireless Communications, 15(7), 4957–4972.

    Google Scholar 

  15. Afshang, M., & Dhillon, H. S. (2015). Spatial modeling of device-to-device networks: Poisson cluster process meets Poisson Hole Process. In 49th Asilomar conference on signals, systems and computers, Pacific Grove, CA (pp. 317–321).

  16. Yazdanshenasan, Z., Dhillon, H. S., Afshang, M., & Chong, P. H. J. (2013). Poisson hole process: Theory and applications to wireless networks. IEEE Transactions on Wireless Communications, 15(11), 7531–7546.

    Article  Google Scholar 

  17. Ganti, R. K., & Haenggi, M. (2006). Regularity in sensor networks. In IEEE international Zurich seminar on communications (pp. 186–189).

  18. Folland, G. B. (2013). Real analysis: Modern techniques and their applications. Wiley: Academic Internet Publishers.

    MATH  Google Scholar 

  19. Afshang, M., Dhillon, H. S., & Chong, P. H. J. (2016). Fundamentals of cluster-centric content placement in cache-enabled device-to-device networks. IEEE Transactions on Communications, 64(6), 2511–2526.

    Article  Google Scholar 

Download references

Acknowledgements

This work was supported in part by the National Natural Science Foundation of China under grant 61572074, and by a project funded by Guizhou Key Laboratory of Electric Power Big Data, Guizhou Institute of Technology.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Zhonggui Ma.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Ma, Z., Nuermaimaiti, N. & Wang, L. Performance Analysis of D2D-Aided Underlaying Cellular Networks Based on Poisson Hole Cluster Process. Wireless Pers Commun 111, 2369–2389 (2020). https://doi.org/10.1007/s11277-019-06991-x

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-019-06991-x

Keywords

Navigation