Skip to main content

Advertisement

Log in

Coalitional Game-Based User Association Integrated With Open Loop Power Control for Green Communications in Uplink HCNs

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

In heterogeneous cellular networks (HCNs), the energy reduction has a great impact on the operational cost and global carbon footprint, which has attracted more and more attention. To enhance the network energy efficiency (EE), we design two types of association mechanisms integrated with open loop power control (OLPC) for uplink code-division-multiple-access (CDMA) enabled HCNs. Specifically, they are formulated into two optimization problems that maximize the sum of users’ EEs and the one of users’ EE utilities. It is noteworthy that the one of these two mechanisms guarantees the user fairness by employing a logarithmic function. Considering that these formulated problems are in a fractional mixed-integer form and hard to tackle, we utilize a coalitional game to design two types of association algorithms with guaranteed convergence. To show the effectiveness of designed algorithms, another one is introduced for comparison in the simulation. As for them, we mainly investigate the impacts of user and BS densities on the association performance.

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

Similar content being viewed by others

References

  1. Zhou, T. Q., Jiang, N., Qin, D., et al. (2017). QoS-aware balanced and unbalanced associations in massive MIMO enabled heterogeneous cellular networks. Wireless Personal Communication, 97(4), 5345–5366.

    Article  Google Scholar 

  2. Zhao, J. H., Ni, S. J., Yang, L. H., et al. (2019). Multiband cooperation for 5G HetNets: A promising network paradigm. IEEE Vehicular Technology Management, 14(4), 85–93.

    Article  Google Scholar 

  3. Yates, R., & Huang, C. Y. (1995). Integrated power control and base station assignment. IEEE Vehicular Technology Management, 44(3), 638–644.

    Article  Google Scholar 

  4. Wang, J. T. (2010). SINR feedback-based integrated base-station assignment, diversity, and power control for wireless networks. IEEE Vehicular Technology Management, 59(1), 473–484.

    Article  Google Scholar 

  5. Zhao, J., Yang, T., Gong, Y., et al. (2013). Power control algorithm of cognitive radio based on non-cooperative game theory. China Communications, 10(11), 143–154.

    Article  Google Scholar 

  6. Zhao, J., Guan, X., & Li, X. (2013). Power allocation based on genetic simulated annealing algorithm in cognitive radio networks. Chinese Journal of Electronics, 22(1), 177–180.

    Google Scholar 

  7. Li, Y., Sheng, M., Sun, Y., et al. (2016). Joint optimization of BS operation, user association, subcarrier assignment, and power allocation for energy-efficient HetNets. IEEE Journal on Selected Areas in Communications, 34(12), 3339–3353.

    Article  Google Scholar 

  8. Lin, X., & Wang, S. (2017). Joint user association and base station switching on/off for green heterogeneous cellular networks (pp. 1–6). Paris France: Proc. IEEE ICC.

    Google Scholar 

  9. Sun, Y., & Chang, Y. (2018). Energy-efficient user association and cell sleeping strategy for multi-tier ultra-dense small-cell networks. Electronics Letters, 54(12), 787–789.

    Article  Google Scholar 

  10. Luo, S., Zhang, R., & Lim, T. J. (2015). Downlink and uplink energy minimization through user association and beamforming in C-RAN. IEEE Transactions on Wireless Communications, 14(1), 494–508.

    Article  Google Scholar 

  11. Van Chien, T., Bjrnson, E., & Larsson, E. G. (2016). Joint power allocation and user association optimization for massive MIMO systems. IEEE Transactions on Wireless Communications, 15(9), 6384–6399.

    Article  Google Scholar 

  12. Chen, Q., Yu, G., Yin, R., et al. (2016). Energy-efficient user association and resource allocation for multistream carrier aggregation. IEEE Transactions on Vehicular Technology, 65(8), 6366–6376.

    Article  Google Scholar 

  13. Zhou, T., Liu, Z., Qin, D., et al. (2017). User association with maximizing weighted sum energy efficiency for massive MIMO-enabled heterogeneous cellular networks. IEEE Communications Letters, 21(10), 2250–2253.

    Article  Google Scholar 

  14. Tian, H., Xu, Y., Xu, K., et al. (2015). Energy-efficient user association in heterogeneous networks with M2M/H2H coexistence under QoS guarantees. China Communications, 12(Supplement), 93–103.

    Article  Google Scholar 

  15. Liu, D., Wang, L., Chen, Y., et al. (2015). Distributed energy efficient fair user association in massive MIMO enabled HetNets. IEEE Communication Letters, 19(10), 1770–1773.

    Article  Google Scholar 

  16. Han, Q., Yang, B., Chen, C., et al. (2016). Matching-based joint uplink and downlink user association for energy-efficient HetNets (pp. 1–6). Yangzhou China: Proc. IEEE WCSP.

    Google Scholar 

  17. Zhang, H., Huang, S., Jiang, C., et al. (2017). Energy efficient user association and power allocation in millimeter-wave-based ultra dense networks with energy harvesting base stations. IEEE Journal on Selected Areas in Communications, 35(9), 1936–1947.

    Article  Google Scholar 

  18. Mesodiakaki, A., Adelantado, F., Alonso, L., et al. (2014). Energy-efficient context-aware user association for outdoor small cell heterogeneous networks (pp. 1614–1619). Sydney NSW Australia: Proc. IEEE ICC.

    Google Scholar 

  19. Zhou, T., Huang, Y., & Yang, L. (2016). Energy-efficient user association in downlink heterogeneous cellular networks. IET Communications, 10(13), 1553–1561.

    Article  Google Scholar 

  20. Son, K., Kim, H., Yi, Y., et al. (2011). Base station operation and user association mechanisms for energy-delay tradeoffs in green cellular networks. IEEE Journal on Selected Areas in Communications, 29(8), 1525–1536.

    Article  Google Scholar 

  21. Hao, Y., Ni, Q., Li, H., et al. (2017). On the energy and spectral efficiency tradeoff in massive MIMO-enabled HetNets with capacity-constrained backhaul links. IEEE Transactions on Communications, 65(11), 4720–4733.

    Article  Google Scholar 

  22. Qian, L. P., Zhang, Y. J., Wu, Y., et al. (2013). Joint base station association and power control via benders’ decomposition. IEEE Transactions on Wireless Communications, 12(4), 1651–1665.

    Article  Google Scholar 

  23. Oo, T. Z., Tran, N. H., Saad, W., et al. (2017). Offloading in HetNet: A coordination of interference mitigation, user association, and resource allocation. IEEE Transactions on Mobile Computing, 16(8), 2276–2291.

    Article  Google Scholar 

  24. Shen, K., & Yu, W. (2014). Distributed pricing-based user association for downlink heterogeneous cellular networks. IEEE Journal on Selected Areas in Communications, 32(6), 1100–1113.

    Article  Google Scholar 

  25. Chen, X., & Hu, R. (2012). Joint uplink and downlink optimal mobile association in a wireless heterogeneous network (pp. 4131–4137). Anaheim CA USA: Proc. IEEE GLOBECOM.

    Google Scholar 

  26. Liu, D., Chen, Y., Chai, K. K., et al. (2014). Joint uplink and downlink user association for energy-efficient HetNets using nash bargaining solution. IEEE 79th Veh. Technol. Conf. (VTC Spring). Seoul. Korea (South), 2014, 1–5.

  27. Ha, V. N., & Le, L. B. (2014). Distributed base station association and power control for heterogeneous cellular networks. IEEE Transactions on Vehicular Technology, 63(1), 282–296.

    Article  Google Scholar 

  28. Wu, D., Wu, Q., Xu, Y., et al. (2017). QoE-based distributed multi-channel allocation in 5G heterogeneous cellular networks: A matching coalitional game solution. IEEE Access, 5, 61–71.

    Google Scholar 

  29. Liu, N., Wang, J., Yu, X., et al. (2018). Hybrid energy sharing for smart building cluster with CHP system and PV prosumers: A coalitional game approach. IEEE Access, 6, 34098–34108.

    Article  Google Scholar 

  30. Hajir, M., Langar, R., & Gagnon, F. (2016). Coalitional games for joint co-tier and cross-tier cooperative spectrum sharing in dense heterogeneous networks. IEEE Access, 4, 2450–2464.

    Article  Google Scholar 

  31. Mesodiakaki, A., Adelantado, F., Alonso, L., et al. (2014). Energy-efficient user association in cognitive heterogeneous networks. IEEE Communications Magazine, 52(7), 22–29.

    Article  Google Scholar 

  32. He, S., Huang, Y., Yang, L., et al. (2014). Coordinated multicell multiuser precoding for maximizing weighted sum energy efficiency. IEEE Transactions on Signal Processing, 62(3), 741–751.

    Article  MathSciNet  Google Scholar 

  33. Miao, G., Himayat, N., et al. (2011). Distributed interference-aware energy-efficient power optimization. IEEE Transactions on Wireless Communications, 10(4), 1323–1333.

    Article  Google Scholar 

  34. 3GPP (2010). Tr 36.814: further advancements for e-utra physical layer aspects (release 9). v9.0.0. Technical Report.

Download references

Acknowledgements

This work was supported by Natural Science Foundation of China under Grant Nos. 61861017, 61671144, 61861018, 61761030, 61961020, 61862025, 61663010 and 61963017, Foundation of Jiangxi Educational Committee of China under Grant Nos. GJJ180312 and GJJ180313.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tianqing Zhou.

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

Zhou, T., Qin, D., Nie, X. et al. Coalitional Game-Based User Association Integrated With Open Loop Power Control for Green Communications in Uplink HCNs. Wireless Pers Commun 120, 3117–3133 (2021). https://doi.org/10.1007/s11277-021-08602-0

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-021-08602-0

Keywords

Navigation