Skip to main content

Advertisement

Log in

A Comparative Study of Resource Allocation Schemes for D2D Networks Underlay Cellular Networks

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Device-to-Device (D2D) communication is a promising take over in cellular communication. Due to its advantages it gains significance in the industrial standardization along with academic researchers. The concept of two tier network can be evolved to enlighten the cellular communication. Making each cellular user as transmission relays it would form a massive D2D network resulting in increased offloading of cellular traffic. The scope of D2D also extends to mobile cloud computing, proximity applications, social network content distribution and so on. It has been proved to be the best solution for energy efficient, spectral efficient technology which meets the capacity demand. However, the D2D scheme have practical challenges which needs to be met in order to keep its place primary in the next generation wireless communication. One of the major challenges which has to be addressed and resolved is resource allocation. In this paper various resource allocation scheme for D2D networks in cellular network are discussed. Each of the resource allocation with its signal to interference ratio performance with the other and the sum-data rate of each system is compared. D2D assisted Cognitive radio networks (Ahmad et al. in IET Commun 12(10): 1207–1214, 2008) can be developed to utilise the spectrum opportunistically for next generation communication systems.

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.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7

Similar content being viewed by others

References

  1. Asadi, A., Wang, Q., & Mancuso, V. (2014). A survey on device-to-device communication in cellular networks. IEEE Communication Surveys & Tutorials, 16(4), 1801–1819.

    Article  Google Scholar 

  2. Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2016–2021. (2017). https://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/mobile-white-paper-c11-520862.pdf. Accessed 18 Aug 2018.

  3. Zulhasnine, M., Huang, M., & Srinivasan, A. (2010). Efficient resource allocation for device-to-device communication underlaying LTE network. In IEEE 6th international conference on wireless and mobile computing, networking and communications.

  4. Hasan, M., & Hossain, E. (2014). Distributed resource allocation for relay-aided device-to-device communication: A message passing approach. IEEE Transactions on Wireless Communications, 13(11), 6326–6341.

    Article  Google Scholar 

  5. Zhu, D., Jiaheng Wang, A., & Swindlehurst, L. (2014). Downlink resource reuse for device-to-device communications underlaying cellular networks. IEEE Signal Processing Letters, 21(5), 531–534.

    Article  Google Scholar 

  6. Yu, C. H., Doppler, K., Ribeiro, C. B., & Tirkkonen, O. (2011). Resource sharing optimization for device-to-device communication underlaying cellular networks. IEEE Transactions on Wireless Communications, 10(8), 2752–2763.

    Article  Google Scholar 

  7. Min, H., Lee, J., Park, S., & Hong, D. (2011). Capacity enhancement using an interference limited area for device-to-device uplink underlaying cellular networks. IEEE Transactions on Wireless Communications, 10(12), 3995–4000.

    Article  Google Scholar 

  8. Feng, D., Lu, L., Yuan-Wu, Y., Li, G. Y., Feng, G., & Li, S. (2013). Device-todevice communications underlaying cellular networks. IEEE Transactions on Communications, 61(8), 3541–3551.

    Article  Google Scholar 

  9. Ahmad, M., et al. (2018). Joint user selection, mode assignment, and power allocation in cognitive radio-assisted D2D networks. IET Communication, 12(10), 1207–1214.

    Article  Google Scholar 

  10. Han, Z., Niyato, D., Saad, W., Basar, T., & Hjorungnes, (2012). Game theory in wireless communication networks. Cambridge: Cambridge University Press.

    MATH  Google Scholar 

  11. Song, L., Niyato, D., Han, Z., & Hossain, E. (2011). Game-theoretic resource allocation methods for device-to- device communication. IEEE Transactions on Wireless Communications, 14, 1284–1536.

    Google Scholar 

  12. Wang, F. et al. (2013). Energy-Aware Resource Allocation for Device-to-Device Underlay Communication. In IEEE international conference communications (ICC), Budapest.

  13. Wang, F. et al. (2013). Joint scheduling and resource allocation for device-to-device underlay communication. In Proceedings of IEEE wireless communications networking conference (WCNC), Shanghai.

  14. Xu, C. et al. (2012). Resource allocation using a reverse iterative combinatorial auction for device-to-device underlay cellular networks. In IEEE global communication conference (Globecom), Los Angeles.

  15. Guidelines for evaluation of radio interface technologies for IMT-advanced (2008). https://www.itu.int/dms_pub/itu-r/opb/rep/R-REP-M.2135-1-2009-PDF-E.pdf. Accessed 1 Sep 2018.

  16. Musku, M., et al. (2008). Spectrum load balancing for medium access in cognitive radio systems. IEEE Communications Letters, 12(5), 353–355.

    Article  Google Scholar 

  17. Musku, M., et al. (2006). Joint rate and power control using game theory. IEEE CCNC, 2006, 1258–1262.

    Google Scholar 

  18. Musku, M., et al. (2005). Joint rate and power control with pricing. In IEEE GLOBECOM’05, (pp. 3466–3470).

  19. Choi, Y. J., Kim, J., & Bahk, S. (2006). QoS-aware selective feedback and optimal channel allocation in multiple shared channel environments. IEEE Transactions on Wireless Communications, 5(11), 3278–3286.

    Article  Google Scholar 

  20. Chang, R. Y., Tao, Z., Zhang, J., & Kuo, C. C. J. (2009). Multicell OFDMA downlink resource allocation using a graphic framework. IEEE Transactions on Vehicular Technology, 58(7), 3494–3507.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to S. Dhilipkumar.

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

Dhilipkumar, S., Arunachalaperumal, C. & Thanigaivelu, K. A Comparative Study of Resource Allocation Schemes for D2D Networks Underlay Cellular Networks. Wireless Pers Commun 106, 1075–1087 (2019). https://doi.org/10.1007/s11277-019-06204-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-019-06204-5

Keywords

Navigation