Skip to main content

Channel Estimation in Massive MIMO Using BS Identification Code

  • Conference paper
  • First Online:
Intelligent Computing and Communication (ICICC 2022)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1447))

Included in the following conference series:

  • 130 Accesses

Abstract

Massive Multi-input Multi-output (MIMO) systems plays an important role in 5G communications. In Massive MIMO, a base station with large antennas simultaneously uses the same frequency and time slots by multiple users, due to this pilot contamination may occur. In order to avoid the pilot contamination in LTE-TDD Massive MIMO systems, a technique is to be considered which uses an orthogonality property of Hadamard code. The pilot signal needs to be modulated with the Hadamard code in order to identify the base station in the cellular network. The identification of base stations can be done by applying the low computational complexity suboptimal linear LS criterion and also the mitigation of the effect of pilot contamination in case of full pilot reuse in multi cell scenarios can also be performed.

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 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
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

Similar content being viewed by others

References

  1. Fallgren M et al (2013) Scenarios, requirements and KPIs for 5G mobile and wireless system, document ICT-317669-METIS/D1.1

    Google Scholar 

  2. Industry Proposal for a Public Private Partnership (PPP) in Horizon 2020 (Draft Version 2.1), Horizon 2020 advanced 5G network infrastructure for the future internet PPP [Online]. Available: http://www.networks-etp-eu/fileadmin/userupload/Home/draft-PPP-proposal.pdf

  3. Hsieh M-H, We C-H (1998) Channel estimation for OFDM systems based on comb-type pilot arrangement in frequency selective fading channels. IEEE Trans Consum Electron 44(1):217–225

    Article  Google Scholar 

  4. Khlifi A, Bouallegue R (2011) Performance analysis of LS and LMMSE channel estimation techniques for LTE downlink systems. Int J Wirel Mob Netw (IJWMN) 03(05):141–149

    Article  Google Scholar 

  5. Xu P, Wang J, Wang J (2013) Effect of pilot contamination on channel estimation in massive MIMO systems. In: Proceedings of international conference on wireless communication signal processing (ICWCSP), pp 1–6

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Bhagya Bharathi Padavala .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Padavala, B.B., Krishna Reddy, G., Merlin Sheeba, G. (2023). Channel Estimation in Massive MIMO Using BS Identification Code. In: Seetha, M., Peddoju, S.K., Pendyala, V., Chakravarthy, V.V.S.S.S. (eds) Intelligent Computing and Communication. ICICC 2022. Advances in Intelligent Systems and Computing, vol 1447. Springer, Singapore. https://doi.org/10.1007/978-981-99-1588-0_54

Download citation

Publish with us

Policies and ethics