Skip to main content
Log in

Particle Swarm Optimization Based Power Allocation Schemes of Device-to-Device Multicast Communication

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Device-to-device (D2D) multicast communication is a useful way to improve the communication efficiency of local services. In this paper, we study the power control of D2D multicast communication underlying cellular network. To improve the overall throughput of D2D and cellular communication, particle swarm optimization (PSO) algorithm based power allocation schemes are proposed under two scenarios. Firstly, we introduce a distributed controlled D2D multicast group formation procedure. And then, the system model of both D2D communication reuse the same frequency with one cellular user equipment (CUE) and with multi-CUEs is introduced. Under these two scenarios, the power allocation problems are transformed to constrained optimization problems. PSO algorithm is applied to get the solutions for optimization problems. Additionally, to get a compromise between fairness and the overall throughput of system, a new objective function with fairness factor is designed in the second scenario. Simulation results show that the proposed schemes significantly improve the throughput performance of system and guarantee the quality of both D2D and cellular communication.

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
Fig. 7
Fig. 8

Similar content being viewed by others

References

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

    Article  Google Scholar 

  2. Tehrani, M. N., Uysal, M., & Yanikomeroglu, H. (2014). Device-to-device communication in 5G cellular networks: Challenges, solutions, and future directions. IEEE Communications Magazine, 52(5), 86–92.

    Article  Google Scholar 

  3. Wang, H., & Chu, X. (2012). Distance-constrained resource-sharing criteria for device-to-device communications underlaying cellular networks. IEEE Electronics letters, 48(9), 528–530.

    Article  Google Scholar 

  4. Feng, D., Lu, L., Yuan-Wu, Y., Li, G., Feng, G., & Li, S. (2013). Device-to-device communications underlaying cellular networks. IEEE Transactions on Communications, 61(8), 1–11.

    Article  Google Scholar 

  5. Li, Y., Su, S., & Chen, S. (2015). Social-aware resource allocation for device-to-device communications underlaying cellular networks. IEEE Wireless Communications Letters, 99(1), 1–4.

    Google Scholar 

  6. Min, H., Seo, W., Lee, J., Park, S., & Hong, D. (2011). Reliability improvement using receive mode selection in the device-to-device uplink period underlaying cellular networks. IEEE Transactions on Wireless Communications, 10(2), 413–418.

    Article  Google Scholar 

  7. Han, M. H., Kim, B. G., & Lee, J. W. (2012). Subchannel and transmission mode scheduling for D2D communication in OFDMA networks. In Vehicular Technology Conference (VTC Fall), IEEE on (pp. 1–5).

  8. Jung, M., Hwang, K., & Choi, S. (2012). Joint mode selection and power allocation scheme for power-efficient device-to-device (D2D) communication. In Vehicular Technology Conference (VTC Spring), IEEE 75th on (pp. 1–5).

  9. Doppler, K., Yu, C. H., Ribeiro, C. B., & Janis, P. (2010). Mode selection for device-to-device communication underlaying an LTE-advanced network. In Wireless communications and networking conference (WCNC) on (pp. 1–6).

  10. Yang, L., & Zhang, W. (2014). Interference alignment in device-to-device LAN underlaying cellular networks. In Communication systems (ICCS), 2014 IEEE international conference on (pp. 21–25).

  11. Bao, P., & Yu, G. (2012). An interference management strategy for device-to-device underlaying cellular networks with partial location information. In Personal indoor and mobile radio communications (PIMRC), IEEE 23rd international symposium on (pp. 465–470).

  12. Wang D., Wang X., & Zhao, Y. (2012). An interference coordination scheme for device-to-device multicast in cellular networks. In IEEE VTC Fall on (pp. 1–5).

  13. Erturk, M. C., Mukherjee, S., Ishii, H., & Arslan, H. (2013). Distributions of transmit power and SINR in device-to-device networks. IEEE Communications Letters, 17(2), 273–276.

    Article  Google Scholar 

  14. He, Y., Luan, X., Wang, J., Feng, M., & Wu, J., (2014). Power allocation for D2D communications in heterogeneous networks. In IEEE advanced communication technology (ICACT), 2014 16th international conference on (pp. 1041–1044).

  15. Lee, N., Lin, X., Andrews, J. G., & Heath, R. W. (2015). Power control for D2D underlaid cellular networks: Modeling, algorithms, and analysis. IEEE Journal on Selected Areas in Communications, 33(1), 1–13.

    Article  Google Scholar 

  16. Han, T., & Ansari, N. (2011). Energy efficient wireless multicasting. IEEE on Communications Letters, 15(6), 620–622.

    Article  Google Scholar 

  17. Hou, F., Cai, L. X., Ho, P. H., Shen, X., & Zhang, J. (2009). A cooperative multicast scheduling scheme for multimedia services in IEEE 802.16 networks. IEEE Transactions on Wireless Communications, 8(3), 1508–1519.

    Article  Google Scholar 

  18. Zhao, H. V., & Su, W. (2010). Cooperative wireless multicast: Performance analysis and power/location optimization. IEEE Transactions on Wireless Communications, 9(6), 2088–2100.

    Article  Google Scholar 

  19. Zhao, Bozju, Guo, C. X., & Cao, Y. J. (2005). A multiagent-based particle swarm optimization approach for optimal reactive power dispatch. IEEE Transactions on Power Systems, 20(2), 1070–1078.

    Article  Google Scholar 

  20. Zielinski, K., Weitkemper, P., Laur, R., & Kammeyer, K. D. (2009). Optimization of power allocation for interference cancellation with particle swarm optimization. IEEE Transactions on Evolutionary Computation, 13(1), 128–150.

    Article  Google Scholar 

  21. Cheng, S., Shi, Y., Qin, Q., & Ting, T. O. (2012). Population diversity based inertia weight adaptation in particle swarm optimization. In Advanced computational intelligence (ICACI), 2012 IEEE fifth international conference on (pp. 395–403).

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wenrong Gong.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gong, W., Wang, X. Particle Swarm Optimization Based Power Allocation Schemes of Device-to-Device Multicast Communication. Wireless Pers Commun 85, 1261–1277 (2015). https://doi.org/10.1007/s11277-015-2839-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-015-2839-7

Keywords

Navigation