Skip to main content

Dynamic Pilot Assignment in Massive MIMO Systems with Time-Shifted Pilot

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 463))

Abstract

The time-shifted pilot with downlink data overlap considering an infinite number of antennas in base station can mitigate pilot contamination well, but there is still interference between the cells in the same group. Different from the conventional random pilot assignment method, this paper proposes a dynamic pilot assignment method based on the interference degree of cells in the same group of the system. For the system with severe inter-cell interference, we use the pilot assignment method which maximizes the center cell’s minimum uplink SIR considering the total interference to the user to mitigate pilot contamination. For the system with slight inter-cell interference, we use the pilot assignment method which maximizes the center cell’s average uplink SIR considering the total interference to the user to improve its performance. The effectiveness of the pilot assignment method proposed in this paper is verified by simulation experiments.

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

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   329.99
Price excludes VAT (USA)
  • Durable hardcover 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

Learn about institutional subscriptions

References

  1. Fernandes, F., Ashikhmin, A., Marzetta, T.L.: Inter-cell interference in non-cooperative TDD large scale antenna systems. IEEE J. Sel. Areas Commun. 31, 192–201 (2013)

    Google Scholar 

  2. Gao, D., Zhu, X., Huang, Y.: Multiple division soft pilot reuse in massive MIMO cellular networks. In: 6th ICICM, pp. 187–192 (2016)

    Google Scholar 

  3. Gao, X., Edfors, O., Tufvesson, F., et al.: Massive MIMO in real propagation environments: do all antennas contribute equally? IEEE Trans. Commun. 63, 3917–3928 (2015)

    Google Scholar 

  4. Marzetta, T.L.: Noncooperative cellular wireless with unlimited numbers of base station antennas. IEEE Trans. Wirel. Commun. 9, 3590–3600 (2010)

    Google Scholar 

  5. Zhou, Z.C., Wang, D.: Pilot scheduling based on water-filling algorithm in massive MIMO. In: 6th ICEIEC, pp. 89–92 (2016)

    Google Scholar 

  6. Zhu, X.D., Wang, Z.C., Dai, L.L., et al.: Smart pilot assignment for massive MIMO. IEEE Commun. Lett. 19, 1644–1647 (2015)

    Google Scholar 

  7. Zhu, X.D., Wang, Z.C., Qian, C., et al.: Soft pilot reuse and multicell block diagonalization precoding for massive MIMO systems. IEEE Trans. Veh. Technol. 65, 3285–3298 (2016)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shuangshuang Jiang .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Jiang, S., Wang, B. (2019). Dynamic Pilot Assignment in Massive MIMO Systems with Time-Shifted Pilot. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_94

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-6571-2_94

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6570-5

  • Online ISBN: 978-981-10-6571-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics