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Joint Evaluation of Spectral Efficiency, Energy Efficiency and Transmission Reliability in Massive MIMO Systems

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Advances of Science and Technology (ICAST 2019)

Abstract

The main goals planned to achieve in fifth generation (5G) networks are to increase capacity, improve data rate, decrease latency, improve energy efficiency and provide a better quality of service. To achieve these goals, massive multiple input multiple output (MIMO) is considered as one of the competing technologies that provide high spectral efficiency (SE) and energy efficiency (EE). Hence, energy efficiency, spectral efficiency and transmission reliability are the main performance metrics for massive MIMO systems. Although these performance metrics are thoroughly studied independently, their joint effects are not considered and evaluated for massive MIMO systems. Hence, in this work, we investigate a mathematical model that jointly evaluates the spectral efficiency, energy efficiency and transmission reliability in downlink massive MIMO systems with linear precoding techniques. Closed-form analytical formulation is derived that jointly evaluates the impacts of spectral efficiency and transmission reliability on energy efficiency. Finally, numerical results are provided to validate the theoretical analysis.

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References

  1. Adnan, N.H.M., Rafiqul, I.Md., Zahirul Alam, A.H.M.: Massive MIMO for fifth generation (5G): opportunities and challenges. In: International Conference on Computer and Communication Engineering (2016)

    Google Scholar 

  2. Ngo, H.Q., Larsson, E.G., Marzetta, T.L.: Energy and spectral efficiency of very large multiuser MIMO systems. IEEE Trans. Commun. 61(4), 1436–1449 (2013)

    Article  Google Scholar 

  3. Tan, W., Jin, S., Yuan, J.: Spectral and energy efficiency of downlink MU-MIMO systems with MRT. China Commun. 14(5), 105–111 (2017)

    Article  Google Scholar 

  4. Pappa, M., Ramesh, C., Kumar, M.N.: Performance comparison of massive MIMO and conventional MIMO using channel parameters. In: IEEE WiSPNET 2017 Conference (2017)

    Google Scholar 

  5. Fatema, N., Hua, G., Xiang, Y., Peng, D., Natgunanathan, I.: Massive MIMO linear precoding: a survey. IEEE Commun. Syst. 12(4), 3920–3931 (2018)

    Article  Google Scholar 

  6. Mohammad, M.A.B., Osman, A.A., Elhag, N.A.A.: Performance comparison of MRT and ZF for single cell downlink massive MIMO system. In: IEEE International Conference on Computing, Control, Networking, Electronics and Embeddeds Systems Engineering (2015)

    Google Scholar 

  7. Huang, Y., He, S., Wang, J., Zhu, J.: Spectral and energy efficiency tradeoff for massive MIMO. IEEE Trans. Veh. Technol. 67(8), 6991–7002 (2018)

    Article  Google Scholar 

  8. Tang, J., So, D.K.C., Senior, E.A., Hamdi, K.A.: Resource efficiency: a new paradigm on energy efficiency and spectral efficiency trade-off. IEEE Trans. Wirel. Commun. 13(8), 4656–4669 (2014)

    Article  Google Scholar 

  9. Parfait, T., Kuang, Y., Jerry, K.: Performance analysis and comparison of ZF and MRT based downlink massive MIMO systems. In: \(6\)th International Conference on Ubiquitous and Future Networks (ICUFN) (2014). Chengdu, Kumasi

    Google Scholar 

  10. Selvan, V.P., Iqbal, M.S., Al-Raweshidy, H.S.: Performance analysis of linear precoding schemes for very large multi-user MIMO downlink system. In: \(4\)th International Conference on the Innovative Computing Technology (INTECH 2014) (2014)

    Google Scholar 

  11. Xiao, Z., Li, Z.: Analysis of massive MIMO systems downlink precoding performance. In: IEEE International Conference on Communications and Networking in China (2014)

    Google Scholar 

  12. Mohammed, A.B.: Performance evaluation of linear precoding techniques for downlink massive MIMO. IEEE Syst. J. (2016)

    Google Scholar 

  13. Shimamoto Laboratory: Non orthogonal multiple access employing multiple power levels for 5G wireless communication networks. Global Information and Telecommunication Studies Waseda University Japan (2015)

    Google Scholar 

  14. Hao, U., Song, Z., Hou, S., Li, H.: Energy and spectral efficiency tradeoff in massive MIMO systems with inter-user interference. In: IEEE Indoor and Mobile Radio Communications (2015)

    Google Scholar 

  15. Fakhri, Y., Nsiri, B., Aboutajdine, D., Vidal, J.: Throughput optimization for wireless OFDM system in downlink transmission using adaptive techniques. In: International Conference on Wireless Communications, Networking and Mobile Computing (2006)

    Google Scholar 

  16. Padmaja, C., Malleswari, B.L.: Bit error rate analysis of 4G communication systems. In: \(13\)th International Conference on Wireless and Optical Communications Networks (WOCN) (2016)

    Google Scholar 

  17. Hilario-Tacuri, A., Tamo, A.: BER Performance of mm-Wave based systems in rainfall scenarios. In: IEEE International Conference on Electronics, Electrical Engineering and Computing (INTERCON) (2018)

    Google Scholar 

  18. Zhang, Y., Cui, Q., Wang, N.: Energy efficiency maximization for CoMP joint transmission with non-ideal power. In: \(28\)th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC) (2017)

    Google Scholar 

  19. Kassaw, A., Hailemariam, D., Zoubir, A.M.: Review of energy efficient resource allocation techniques in massive MIMO systems. In: \(9\)th International Conference on Information and Communication Technology Convergence (ICTC), October 2018

    Google Scholar 

  20. Zhao, L., Zheng, K., Long, H., Zhao, H.: Trans. Emerg. Telecommun. Technol. Performance analysis for downlink massive MIMO system with ZF precoding 25(12), 1219–1230 (2013)

    Google Scholar 

  21. Kassaw, A., Hailemariam, D., Zoubir, A.M.: Performance analysis of uplink massive MIMO system over Rician fading channel. In: 26th European Signal Processing Conference (EUSIPCO), pp. 1272–1276 (2018)

    Google Scholar 

  22. Kassa, H.B., Hailemariam, D., Astatke, Y., Moaz-zami, F., Dean, R.: Energy efficiency evaluation in downlink cellular communication networks. In: IEEE AFRICON International Conference (2015)

    Google Scholar 

  23. Meriaux, F., Valentin, S., Lasaulce, S., Kieffer, M.: An energy efficient power allocation game with selfish channel state reporting in cellular networks. In: \(6\)th International ICST Conference on Performance Evaluation Methodologies and Tools (2012)

    Google Scholar 

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Correspondence to Tewelgn Kebede .

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Kebede, T., Kassaw, A., Wondie, Y., Stenibrunn, J. (2020). Joint Evaluation of Spectral Efficiency, Energy Efficiency and Transmission Reliability in Massive MIMO Systems. In: Habtu, N., Ayele, D., Fanta, S., Admasu, B., Bitew, M. (eds) Advances of Science and Technology. ICAST 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 308. Springer, Cham. https://doi.org/10.1007/978-3-030-43690-2_29

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  • DOI: https://doi.org/10.1007/978-3-030-43690-2_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-43689-6

  • Online ISBN: 978-3-030-43690-2

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