Movatterモバイル変換

[0]ホーム
URL:

Skip to main content
Springer Nature Link
Log in

Adaptive pilot decontamination in multi-cell massive MIMO networks

  • Published:
Telecommunication Systems Aims and scope Submit manuscript

Abstract

This paper considers the contaminated channel estimation in multicell very large multiuser multiple-input multiple-output networks. To provide desirable spectral efficiency of these systems, we propose two adaptive algorithms which their implementations do not require orthogonal pilot sequences. The first algorithm (i.e., normalized least mean square) has low complexity and also gives an acceptable spectral efficiency in channels with low attenuation. The second algorithm (i.e., recursive least square) is more robust against pilot contamination and provides the desirable spectral efficiency in very large number of antennas at the base stations. In simulations, the performance of the proposed algorithms is evaluated and also compared with the performance of the conventional minimum mean square error estimation.

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

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Japan)

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  1. Larsson, E. G., Edfors, O., Tufvesson, F., & Marzetta, T. L. (2014). Massive MIMO for next generation wireless systems.IEEE Communication Magazine,52(2), 186–195.

    Article  Google Scholar 

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

    Article  Google Scholar 

  3. Rusek, F., Persson, D., Lau, B. K., Larsson, E. G., Marzetta, T. L., Edfors, O., et al. (2013). Scaling up MIMO: Opportunities and challenges with very large arrays.IEEE Signal Processing Magazine,30(1), 40–60.

    Article  Google Scholar 

  4. Marzetta, T. L. (2010). Noncooperative cellular wireless with unlimited numbers of base station antennas.IEEE Transactions on Wireless Communication,9(11), 3590–3600.

    Article  Google Scholar 

  5. Mochaourab, R., Björnson, E., & Bengtsson, M. (2015). Adaptive pilot clustering in heterogeneous massive MIMO networks.IEEE Transactions on Wireless Communication,15(8), 5555–5568.

    Article  Google Scholar 

  6. Yin, H., Gesbert, D., Filippou, M., & Liu, Y. (2013). A coordinated approach to channel estimation in large-scale multiple-antenna systems.IEEE Journal on Selected Areas Communication,31(2), 264–273.

    Article  Google Scholar 

  7. Krishnan, N., Yates, R. D., & Mandayam, N. B. (2014). Uplink linear receivers for multi-cell multiuser MIMO with pilot contamination: Large system analysis.IEEE Transactions on Wireless Communication,13(8), 4360–4373.

    Article  Google Scholar 

  8. Björnson, E., Larsson, E. G., & Marzetta, T. L. (2016). Massive MIMO: Ten myths and one critical question.IEEE Communication Magazine,54(2), 114–123.

    Article  Google Scholar 

  9. Pirzadeh, H., Razavizadeh, S. M., & Björnson, E. (2016). Subverting massive MIMO by smart jamming.IEEE Wireless Communication Letters,5(1), 20–23.

    Article  Google Scholar 

  10. Kay, S. M. (1993).Fundamentals of statistical signal processing: Estimation theory. Englewood Cliffs, NJ: Prentice-Hall.

    Google Scholar 

  11. Farhang-Boroujeny, B. (1998).Adaptive filters: Theory and applications. Chichester, U.K.: Wiley.

    Google Scholar 

  12. Ngo, H. Q., Matthaiou, M., & Larsson, E. G. (2014). Massive MIMO with optimal power and training duration allocation.IEEE Communication Letters,3(6), 605–608.

    Article  Google Scholar 

  13. Jose, J., Ashikhmin, A., Marzetta, T. L., & Vishwanath, S. (2011). Pilot contamination and precoding in multi-cell TDD systems.IEEE Transactions on Wireless Communications,10(8), 2640–2651.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Electrical Engineering, Iran University of Science and Technology (IUST), Narmak, Tehran, 16846-13114, Iran

    Hossein Akhlaghpasand & S. Mohammad Razavizadeh

Authors
  1. Hossein Akhlaghpasand

    You can also search for this author inPubMed Google Scholar

  2. S. Mohammad Razavizadeh

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence toS. Mohammad Razavizadeh.

Rights and permissions

About this article

Access this article

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Japan)

Instant access to the full article PDF.

Advertisement

[8]ページ先頭
©2009-2025 Movatter.jp