Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content

Advertisement

Energy-Efficient Power Allocation for D2D Communication underlaying Cellular Networks

  • Published:
Mobile Networks and Applications Aims and scope Submit manuscript

Abstract

This paper considers the power allocation problem in device-to-device (D2D) communication underlaying a cellular network and investigates the impact of different transmitting and interference power constraints on the energy efficiency and spectral efficiency of the network. We formulate the power allocation problem in D2D communication as a nonlinear fractional programming problem with an objective to maximize the energy efficiency of a D2D communication link subject to four different combinations of transmitting and interference power constraints. To solve the original formulated nonlinear fractional programming problem, we first convert it into a dual nonlinear parametric programming problem, and then decouple the dual problem into several solvable concave problems. Further, a closed-form solution is derived to each dual problem and an efficient power allocation algorithm is proposed to find a numerical solution to the formulated problem. Simulation results show that the proposed power allocation algorithm outperforms an ergodic capacity maximization algorithm and a uniform power distribution algorithm in terms of the energy efficiency of a D2D link, and can efficiently improve the overall ergodic capacity of a cellular network.

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

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

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. Gandotra P, Jha R, Jain S (2017) Green communication in next generation cellular networks: a survey. IEEE Access 5(6):11727–11758

    Article  Google Scholar 

  2. David K, Berndt H (2018) 6G vision and requirements: is there any need for beyond 5G. IEEE Veh Technol Mag 13(3):72–80

    Article  Google Scholar 

  3. Klaiqi B, Chu X, Zhang J (2018) Energy-and spectral-efficient adaptive forwarding strategy for multi-hop device-to-device communications overlaying cellular networks. IEEE Wireless Commun 17(9):5684–5699

    Article  Google Scholar 

  4. Wang J, Zhu D, Zhao C, et al. (2013) Resource sharing of underlaying device-to-device and uplink cellular communications. IEEE Commun Lett 17(6):1148–1151

    Article  Google Scholar 

  5. Zheng J, Chen R, Zhang Y (2015) Dynamic resource allocation based on service time prediction for device-to-device communication underlaying cellular networks. IET Commun 9(3):350–358

    Article  Google Scholar 

  6. Nguyen HH, Hasegawa M, Hwang WJ (2016) Distributed resource allocation for D2D communications underlay cellular networks. IEEE Commun Lett 20(5):942–945

    Article  Google Scholar 

  7. Zhu D, Wang J, Swindlehurst AL, et al. (2014) Downlink resource reuse for device-to-device communications underlaying cellular networks. IEEE Signal Process Lett 21(5):531–534

    Article  Google Scholar 

  8. Liu C, Zheng J (2017) A QoS-aware resource allocation algorithm for device-to-device communication underlaying cellular networks. Proc. of IEEE VTC 2017-Spring, Sydney, Australia

  9. Dominic S, Jacob L (2018) Distributed resource allocation for D2D communications underlaying cellular networks in time-varying environment. IEEE Commun Lett 22(2):388–391

    Article  Google Scholar 

  10. Xu H, Xu W, Yang Z, et al. (2017) Energy-efficient resource allocation in D2D underlaid cellular uplinks. IEEE Commun Lett 21(3):560–563

    Article  Google Scholar 

  11. Wu D, Wang J, Hu RQ, et al. (2014) Energy-efficient resource sharing for mobile device-to-device multimedia communications. IEEE Trans Veh Technol 63(5):2093–2103

    Article  Google Scholar 

  12. Zheng J, Liu C, Chu L (2018) BARA: a battery energy and data rate aware resource allocation algorithm for QoE in D2D Communication underlaying Cellular Networks. Proc. of IEEE ICC’18, Kansas City, USA

  13. Hu J, Heng W, Li X, et al. (2017) Energy-efficient resource reuse scheme for D2D communications underlaying cellular networks. IEEE Commun Lett 21(9):2097–210

    Google Scholar 

  14. Zhang R, Cui S, Liang YC (2009) On ergodic sum capacity of fading cognitive multiple-access and broadcast channels. IEEE Trans Inform Theory 55(11):5161–5178

    Article  MathSciNet  Google Scholar 

  15. Dinkelbach W (1967) On nonlinear fractional programming. Manag Sci 13(7):492–498

    Article  MathSciNet  Google Scholar 

  16. Boyd S, Vandenberghe L (2004) Convex optimization. 5th. Cambridge University Press, Cambridge U.K

Download references

Acknowledgements

This work was supported in part by the National Science and Technology Projects of China under grant 2018ZX03001002, in part by the NSFC under grants 61601115, 61871108, and 61971130, and in part by the Natural Science Foundation of Jiangsu Province under Grant BK20160069.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Fengfeng Shi.

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

Shi, F., Chen, R., Shen, H. et al. Energy-Efficient Power Allocation for D2D Communication underlaying Cellular Networks. Mobile Netw Appl 27, 483–491 (2022). https://doi.org/10.1007/s11036-020-01692-3

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11036-020-01692-3

Keywords