Skip to main content

Advertisement

Log in

\(\hbox {E}^{2}\hbox {M}^{3}\): energy-efficient massive MIMO–MISO 5G HetNet using Stackelberg game

  • Published:
The Journal of Supercomputing Aims and scope Submit manuscript

Abstract

Energy- and spectrum-efficient communication in massive multiple-input multiple-output and multiple-input single-output (MISO)-based heterogeneous network and select the leader small cell using Stackelberg game are proposed in this article. Intersection areas of MISO small cells mobile devices are able to receive the signal from both small cells. Among the small cells, we select the leader small cell using Stackelberg game with two proposed utility functions, for data transmission. We have proposed two algorithms for selecting the leader small cell and frequency allocation between leader and follower small cells in this article. We have analyzed the spectrum of the signal through Vector Signal Generator and Vector Signal Analyzer. The power consumption, SINR and spectral efficiency of the proposed \(\hbox {E}^{2}\hbox {M}^{3}\) are calculated. Power consumption of the proposed \(\hbox {E}^{2}\hbox {M}^{3}\) decreases by \({{{\sim}}}\,\)30%, SINR and spectral efficiency increases by \({{{\sim }}}\,\)20% and \({{{\sim}}}\,\)6%, respectively, than existing approaches.

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
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

Similar content being viewed by others

References

  1. Agiwal M, Roy A, Saxena N (2016) Next generation 5G wireless networks: a comprehensive survey. IEEE Commun Surv Tutor 18(3):1617–1655

    Article  Google Scholar 

  2. Soldani D, Guo YJ, Barani B, Mogensen P, Chih-Lin I, Das SK (2018) 5G for ultra-reliable low-latency communications. IEEE Netw 32(2):6–7

    Article  Google Scholar 

  3. Jeong B, Kim N, Lee BD, Yoon H (2018) A simple and enriched closed-form formula for cell residence time in 5G heterogeneous networks. Wirel Pers Commun 101(1):491–509

    Article  Google Scholar 

  4. Bengtsson EL, Rusek F, Malkowsky S, Tufvesson F, Karlsson PC, Edfors O (2017) A simulation framework for multiple-antenna terminals in 5G massive MIMO systems. IEEE Access 5:26819–26831

    Article  Google Scholar 

  5. Feng J, Liu W, Li P, Zhang J (2020) Network-enabled MIMO systems with distributed data processing. J Supercomput 76(5):3402–3415

    Article  Google Scholar 

  6. Araújo DC, Maksymyuk T, de Almeida AL, Maciel T, Mota JC, Jo M (2016) Massive MIMO: survey and future research topics. IET Commun 10(15):1938–1946

    Article  Google Scholar 

  7. Damodaran SP, Srinivasan VK, Rajakani K (2019) Optimized and low-complexity power allocation and beamforming with full duplex in massive MIMO and small-cell networks. J Supercomput 75(12):7979–7993

    Article  Google Scholar 

  8. Ramiro C, Vidal AM, Gonzalez A (2015) Mimopack: a high-performance computing library for MIMO communication systems. J Supercomput 71(2):751–760

    Article  Google Scholar 

  9. Zhou X, Liu F, Yin Y, Li Q, Qin J (2017) Robust beamforming for simultaneous wireless information and power transfer in MISO interference channels. Wirel Pers Commun 92(4):1545–1557

    Article  Google Scholar 

  10. Muirhead D, Imran MA, Arshad K (2016) A survey of the challenges, opportunities and use of multiple antennas in current and future 5G small cell base stations. IEEE Access 4:2952–2964

    Article  Google Scholar 

  11. An Y, Sun R, Wu X, Sun X (2019) Distributed interference alignment algorithm in downlink multi-user cooperative networks. J Supercomput 75(4):2058–2069

    Article  Google Scholar 

  12. Chen L, Yu FR, Ji H, Rong B, Leung VC (2018) Power allocation in small cell networks with full-duplex self-backhauls and massive MIMO. Wirel Netw 24(4):1083–1098

    Article  Google Scholar 

  13. Zhao L, Zhang X, Han Y, Shin KG (2020) Power saving with comp transmission for densely deployed small cell networks. J Supercomput 76(10):8021–8039

    Article  Google Scholar 

  14. Saeed A, Katranaras E, Dianati M, Imran MA (2016) Dynamic femtocell resource allocation for managing inter-tier interference in downlink of heterogeneous networks. IET Commun 10(6):641–650

    Article  Google Scholar 

  15. Gupta A, Jha RK (2017) Power optimization using optimal small cell arrangements in different deployment scenarios. Int J Commun Syst 30(13):e3279

    Article  Google Scholar 

  16. Han F, Zhao S, Zhang L, Wu J (2016) Survey of strategies for switching off base stations in heterogeneous networks for greener 5G systems. IEEE Access 4:4959–4973

    Article  Google Scholar 

  17. Chang KC, Chu KC, Wang HC, Lin YC, Pan JS (2020) Energy saving technology of 5G base station based on internet of things collaborative control. IEEE Access 8:32935–32946

    Article  Google Scholar 

  18. Suárez L, Nuaymi L, Bonnin JM (2015) Energy-efficient BS switching-off and cell topology management for macro/femto environments. Comput Netw 78:182–201

    Article  Google Scholar 

  19. Trestian R, Ormond O, Muntean GM (2012) Game theory-based network selection: solutions and challenges. IEEE Commun Surv Tutor 14(4):1212–1231

    Article  Google Scholar 

  20. Yao K, Sun Y, Zhang Z, Zhang S, Li S, Xu Y (2017) When to offload in two-tier smallcell networks: a stackelberg game approach with pre-offloading-decision. Wirel Netw 23(8):2499–2508

    Article  Google Scholar 

  21. Ghosh S, De D (2020) Power and spectrum efficient D2D communication for 5G IoT using stackelberg game theory. In: 2020 IEEE 17th India Council International Conference (INDICON). IEEE, pp 1–7

  22. Rahi P, Sharma S (2018) Bandwidth allocation and distributed relay selection for multiple-user and multiple-relay cooperative systems using stackelberg game. Int J Commun Syst 31(6):e3515

    Article  Google Scholar 

  23. Ghosh S, De D (2020) Weighted majority cooperative game based dynamic small cell clustering and resource allocation for 5G green mobile network. Wirel Pers Commun 111(3):1391–1411

    Article  Google Scholar 

  24. Ghosh S, De D, Deb P, Mukherjee A (2020) 5g-zoom-game: small cell zooming using weighted majority cooperative game for energy efficient 5G mobile network. Wirel Netw 26(1):349–372

    Article  Google Scholar 

  25. Ghosh S, De D (2020) Dynamic antenna allocation in 5G MIMO HetNet using weighted majority cooperative game theory. In: 2020 IEEE 1st International Conference for Convergence in Engineering (ICCE). IEEE, pp 21–25

  26. Niu B, Wong VW (2015) Network configuration for two-tier macro-femto systems with hybrid access. IEEE Trans Veh Technol 65(4):2528–2543

    Article  Google Scholar 

  27. Hossain MA, Cavdar C, Björnson E, Jäntti R (2017) Energy saving game for massive MIMO: coping with daily load variation. IEEE Trans Veh Technol 67(3):2301–2313

    Article  Google Scholar 

  28. Gui R, Chen T (2020) Modeling and simulating the time-varying movement in MIMO downlink by integrating ADS with matlab. Int J Commun Syst 33(7):e4310

    Article  Google Scholar 

  29. Feng M, Mao S, Jiang T (2017) BOOST: Base station on-off switching strategy for green massive MIMO hetnets. IEEE Trans Wirel Commun 16(11):7319–7332

    Article  Google Scholar 

  30. Moser SM, Wang L, Wigger M (2018) Capacity results on multiple-input single-output wireless optical channels. IEEE Trans Inf Theory 64(11):6954–6966

    Article  MathSciNet  Google Scholar 

  31. Zhou S, Xu W, Wang K, Di Renzo M, Alouini MS (2020) Spectral and energy efficiency of IRS-assisted MISO communication with hardware impairments. IEEE Wirel Commun Lett 9(9):1366–1369

    Article  Google Scholar 

  32. Liu B, Bai Y, Lu G, Wang J, Huang H (2018) Optimal spectrum sensing interval in MISO cognitive small cell networks. IEEE Access 6:3479–3490

    Article  Google Scholar 

  33. Ahmadi H, Farhang A, Marchetti N, MacKenzie A (2015) A game theoretic approach for pilot contamination avoidance in massive MIMO. IEEE Wirel Commun Lett 5(1):12–15

    Article  Google Scholar 

  34. Bannour A, Sacchi C, Sun Y (2017) MIMO-OFDM based energy harvesting cooperative communications using coalitional game algorithm. IEEE Trans Veh Technol 66(12):11166–11179

    Article  Google Scholar 

  35. Chen Y, Li W, Hu Y, Zhu Q (2017) Dormancy mechanism based power allocation in heterogeneous networks: a Stackelberg game approach. Mobile Netw Appl 22(3):552–563

    Article  Google Scholar 

  36. Ghosh S, De D, Deb P (2019) Energy and spectrum optimization for 5G massive mimo cognitive femtocell based mobile network using auction game theory. Wirel Pers Commun 106(2):555–576

    Article  Google Scholar 

  37. Ghosh S, De D (2019) Resource allocation and interference mitigation in cluster based device-to-device communications for 5G massive MIMO mobile heterogeneous cellular network: a cooperative game theoretic approach

  38. Ghosh S, De D (2020) CG-D2D: cooperative game theory based resource optimization for D2D communication in 5G wireless network. In: 2020 Fifth International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN). IEEE, pp 171–176

Download references

Acknowledgements

This project is supported by Department of Science and Technology (DST), Govt. of India, a research INSPIRE Fellowship under INSPIRE Program, Ref. No.: DST/INSPIRE Fellowship/2018/IF180846 and Department of Science and Technology (DST), Govt. of India under Grant SR/FST/ETI-296/2011.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Debashis De.

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

Ghosh, S., De, D. \(\hbox {E}^{2}\hbox {M}^{3}\): energy-efficient massive MIMO–MISO 5G HetNet using Stackelberg game. J Supercomput 77, 13549–13583 (2021). https://doi.org/10.1007/s11227-021-03809-1

Download citation

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11227-021-03809-1

Keywords

Navigation