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Antenna Selection in TDD Massive MIMO Systems

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A Correction to this article was published on 18 February 2020

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Abstract

Massive multiple-input multiple-output (MIMO) system installs a large number of antennas on base station, it requires one radio frequency (RF) chain for each antenna. When the number of antennas is small, the power consumption of the RF chain is negligible compared with the transmitting power. However, with the increase in the number of antennas and the number of RF chains, the ratio of the power consumption of the RF chain to the total power is gradually increasing. Therefore, the energy efficiency (EE) of the system tends to be saturated gradually and decreases with the further increase of antennas. An antenna selection method based on EE in uplink massive MIMO systems is proposed in this paper. Based on the channel state information (CSI) and the 2-norm of channel matrix, the antennas with better CSI are selected for data transmission. By switching of the RF chain among multiple antennas dynamically over time, simulation results show that the EE can be enhanced compared with conventional massive MIMO system, and the trade-off between EE and spectral efficiency (SE) of the system can be achieved.

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References

  1. Marzetta TL (2010) Noncooperative cellular wireless with unlimited numbers of base station antennas. IEEE Trans Wirel Commun 9(11):3590–3600

    Article  Google Scholar 

  2. Rusek F, Larsson EG, Marzetta TL (2013) Scaling up MIMO: opportunities and challenges with very large arrays. IEEE Signal Process Mag 30(1):40–60

    Article  Google Scholar 

  3. Larsson EG, Edfors O, Tufvesson F (2014) Massive MIMO for next generation wireless systems. IEEE Commun Mag 52(2):186–195

    Article  Google Scholar 

  4. Lu L, Li GY, Swindlehurst AL (2014) An overview of massive MIMO: benefits and challenges. IEEE J Sel Topics Signal Process 8(5):742–758

    Article  Google Scholar 

  5. Marzetta TL (2015) Massive MIMO: an introduction. Bell Labs Tech J 20:11–22

    Article  Google Scholar 

  6. Li GY, Xu Z, Xiong C, Yang C, Chen Y (2011) Energy-efficient wireless communications: tutorial, survey, and open issues. IEEE Wirel Commun 18(6):28–35

  7. Björnson E, Sanguinetti L, Hoydis J, Debbah M (2015) Optimal design of energy-efficient multi-user MIMO systems: is massive MIMO the answer? IEEE Trans Wirel Commun 14(6):3059–3075

    Article  Google Scholar 

  8. Ha D, Lee K, Kang J (2013) Energy efficiency analysis with circuit power consumption in massive MIMO systems. In: 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications. London, United Kingdom, p 938–942

  9. Pei Y, Pham T-H, Liang Y-C (2012) How many RF chains are optimal for large-scale MIMO systems when circuit power is considered? In: 2012 IEEE Global Communications Conference (GLOBECOM). Anaheim, California, USA, p 3868–3873

  10. Xin Y, Wang D, Li J, Zhu H, Wang J, Xiaohu Y (2016) Xiaohu you.: area spectral efficiency and area energy efficiency of massive MIMO cellular systems. IEEE Trans Veh Technol 65(5):3243–3245

    Article  Google Scholar 

  11. AL-Rawi M (2017) Massive MIMO system: an overview. Int J Open Inf Tech 5(2):5–8

  12. Ngo HQ, Larsson EG, Marzetta TL (2013) Energy and spectral efficiency of very large multiuser MIMO systems. IEEE Trans Commun 61(4):1436–1449

    Article  Google Scholar 

  13. Björnson E, Hoydis J, Kountouris M, Debbah M (2014) Massive MIMO systems with non-ideal hardware: energy efficiency, estimation, and capacity limits. IEEE Trans Inf Theory 60(11):7112–7139

  14. Miao G (2013) Energy-efficient uplink multi-user MIMO. IEEE Trans Wirel Commun 12(5):2302–2313

    Article  Google Scholar 

  15. Hoydis J, ten Brink S, Debbah M (2013) Massive MIMO in the UL/DL of cellular networks: how many antennas do we need? IEEE J Sel Areas Commun 31(2):160–171

    Article  Google Scholar 

  16. Li H, Song L (2014) Energy efficiency of large-scale multiple antenna systems with transmit antenna selection. IEEE Trans Commun 62(2):638–647

    Article  Google Scholar 

  17. Arash M, Yazdian E, Fazel M (2017) Employing antenna selection to improve energy-efficiency in massive MIMO systems. aXiv:1701.00767v1[cs.IT]

  18. Yang H, Marzetta T (2013) Total energy efficiency of cellular large-scale antenna system multiple access mobile networks. In: Proc IEEE Online Conference on Green Communications

  19. (2008) Smart 2020: enabling the low carbon economy in the information age. The Climate Group and Global e-Sustainability Initiative (GeSI)

  20. Wiesel A, Eldar Y, Shamai S (2006) Linear precoding via conic optimization for fixed MIMO receivers. IEEE Trans Signal Process 54(1):161–176

    Article  Google Scholar 

  21. Tugnait JK, Tong L, Ding Z (2000) Single-user channel estimation and equalization. IEEE Signal Process Mag 17(3):16–28

    Article  Google Scholar 

  22. Cui S, Goldsmith A, Bahai A (2004) Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks. IEEE J Sel Areas Commun 22(6):1089–1098

    Article  Google Scholar 

  23. Wolniansky PW, Foschini GJ, Golden GD, Valenzuela RA (2002) V-BLAST: an architecture for realizing very high data rates over the rich-scattering wireless channel. In: Ursi International Symposium on Signals. Italy, p 295–300

  24. Joung J, Sun S (2016) Two-step transmit antenna selection algorithms for massive MIMO. In: 2016 IEEE International Conference on Communications (ICC). Kuala Lumpur, Malaysia, p 1–6

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Acknowledgments

This research is supported by the Natural Science Foundation of Liaoning Province of China (Grant No. 20180550239).

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Authors and Affiliations

  1. School of Information Science and Engineering, Dalian Polytechnic University, Dalian, China

    Guiyue Jin, Chaoyue Zhao, Zhuyun Fan & Jiyu Jin

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  1. Guiyue Jin
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  2. Chaoyue Zhao
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  3. Zhuyun Fan
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  4. Jiyu Jin
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Correspondence to Jiyu Jin.

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The original version of this article was revised: It contained mistakes in the “author group”, “System model” and “Antenna selection method based on energy efficiency” sections. Full information regarding the corrections made can be found in the erratum/correction for this article.

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Jin, G., Zhao, C., Fan, Z. et al. Antenna Selection in TDD Massive MIMO Systems. Mobile Netw Appl 26, 1831–1837 (2021). https://doi.org/10.1007/s11036-019-01297-5

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