Skip to main content

An Intelligent MIMO Hybrid Beamforming to Increase the Number of Users

  • Conference paper
  • First Online:
Emerging Trends in Computing and Expert Technology (COMET 2019)

Abstract

The rate of the data demand is highly growing and number of user becomes high for utilizing the spectrum systematically, which can be made possible by using Multiuser MIMO. It allows the transmitter’s base station (BS) to contact at a time with more receivers of the mobile stations (MS) through similar resources of time and frequency. In enormous MIMO base station antennas will be in the order of tens or hundreds to increase streams of data confined inside the cell. In this paper MIMO system is designed using OFDM scattering model and simulated to analyse various parameters with different number of users and RF chains. MIMO system increases the data rate with increased number of users and minimizes loss in the system.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Molisch, A.F., et al.: Hybrid beamforming for massive MIMO: a survey. IEEE Commun. Mag. 55(9), 134–141 (2017)

    Article  Google Scholar 

  2. Ayach, O.E., Rajagopal, S., Abu-Surra, S., Pi, Z., Heath, R.: Spatially sparse precoding in millimeter wave MIMO systems. IEEE Trans. Wireless Commun. 13(3), 1499–1513 (2014)

    Article  Google Scholar 

  3. Alkhateeb, A., El Ayach, O., Leus, G., Heath Jr., R.W.: Channel estimation and hybrid precoding for millimeter wave cellular systems. IEEE J. Sel. Topics Signal Process. 8(5), 831–846 (2014)

    Article  Google Scholar 

  4. Ni, W., Dong, X., Lu, W.S.: Near-optimal hybrid processing for massive MIMO systems via matrix decomposition (2015). https://arxiv.org/abs/1504.03777

  5. Payami, S., Ghoraishi, M., Dianati, M.: Hybrid beamforming for large antenna arrays with phase shifter selection. IEEE Trans. Wireless Commun. 15(11), 7258–7271 (2016)

    Article  Google Scholar 

  6. Bogale, T.E., Le, L.B.: Beamforming for multiuser massive MIMO systems: Digital versus hybrid analog-digital. In: Proceedings IEEE Global Communication Conference (GLOBECOM 2014), pp. 4066–4071, December 2014

    Google Scholar 

  7. Liang, L., Xu, W., Dong, X.: Low-complexity hybrid precoding in massive multiuser MIMO systems. IEEE Wireless Commun. Lett. 3(6), 653–656 (2014)

    Article  Google Scholar 

  8. Alkhateeb, A., Leus, G., Heath Jr., R.W.: Limited feedback hybrid precoding for multi-user millimeter wave systems. IEEE Trans. Wireless Commun. 14(11), 6481–6494 (2015)

    Article  Google Scholar 

  9. Ni, W., Dong, X.: Hybrid block diagonalization for massive multiuser MIMO systems. IEEE Trans. Commun. 64(1), 201–211 (2016)

    Article  Google Scholar 

  10. Song, N., Sun, H., Yang, T.: Coordinated hybrid beamforming for millimeter wave multi-user massive MIMO systems. In: Proceedings IEEE Global Communication Conference (GLOBECOM 2016), pp. 1–6, December 2016

    Google Scholar 

  11. Rajashekar, R., Hanzo, L.: Iterative matrix decomposition aided block diagonalization for mm-wave multiuser MIMO systems. IEEE Trans. Wireless Commun. 16(3), 1372–1384 (2017)

    Article  Google Scholar 

  12. Sohrabi, F., Yu, W.: Hybrid digital and analog beamforming design for large-scale MIMO systems. In: Proceedings IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2929–2933, April 2015

    Google Scholar 

  13. Singh, J., Ramakrishna, S.: On the feasibility of codebook-based beamforming in millimeter wave systems with multiple antenna arrays. IEEE Trans. Wireless Commun. 14(5), 2670–2683 (2015)

    Article  Google Scholar 

  14. Wu, X., Liu, D., Yin, F.: Hybrid beamforming for multi-user massive MIMO systems. IEEE Trans. Commun. 66(9), 3878–3891 (2018)

    Article  Google Scholar 

  15. Li Z., Han, S., Molisch, A.F.: Hybrid beamforming design for millimeter-wave multi-user massive MIMO downlink. In: 2016 IEEE ICC Signal Processing for Communications Symposium (2016)

    Google Scholar 

  16. Adhikary, A., Nam, J., Ahn, J.-Y., Caire, G.: Joint spatial division and multiplexing - the large-scale array regime. IEEE Trans. Inf. Theory 59(10), 6441–6463 (2013)

    Article  MathSciNet  Google Scholar 

  17. Spencer, Q., Swindlehurst, A., Haardt, M.: Zero-Forcing methods for downlink spatial multiplexing in multiuser MIMO channels. IEEE Trans. Signal Process. 52(2), 461–471 (2004)

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. Preethika .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Preethika, M., Deepa, S. (2020). An Intelligent MIMO Hybrid Beamforming to Increase the Number of Users. In: Hemanth, D.J., Kumar, V.D.A., Malathi, S., Castillo, O., Patrut, B. (eds) Emerging Trends in Computing and Expert Technology. COMET 2019. Lecture Notes on Data Engineering and Communications Technologies, vol 35. Springer, Cham. https://doi.org/10.1007/978-3-030-32150-5_152

Download citation

Publish with us

Policies and ethics