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Beamforming Signal Processing Performance Analysis for Massive MIMO Systems

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Internet of Things, Smart Spaces, and Next Generation Networks and Systems (NEW2AN 2019, ruSMART 2019)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 11660))

Abstract

ITU-R requirements related to technical performance for IMT-2020 radio interfaces claims average spectral efficiency (SE) up to 9 bit/s/Hz for indoor hotspot, 7.8 bit/s/Hz for dense urban and 3.3 bit/s/Hz for rural environment. The purpose of this work is to analyse the performance of beamforming signal processing techniques for various massive MIMO configurations in terms of SE and reveal scenarios, which meet ITU-R requirements. Analysis is performed for single user (SU) and multi-user (MU) cases with 14, 50, 100 users, various number of antenna ports (8, 32, 64 and 128) and three beamforming techniques: matched filter (MF), minimum mean square error (MMSE) and zero-forcing (ZF). Simulation results compare SE as a function of signal-to-noise ratio (SNR) for various beamforming techniques and conclude that at higher SNR MMSE acts as ZF and at low SNR MMSE acts as MF for the case, when the number of users is much lower than the number of antenna ports. MU case analysis reveal, that ITU-R average SE requirements hold only in rural environment for high SNR values and 128 antenna ports.

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Acknowledgements

The reported study was supported by the Ministry of Science and Education of the Russian Federation with Grant of the President of the Russian Federation for the state support of young Russian scientists № MK-3468.2018.9.

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Authors and Affiliations

  1. Deutsche Telekom, Technische Planung und Rollout, Landgrabenweg 151, 53227, Bonn, Germany

    Irina Stepanets

  2. The Bonch-Bruevich St. Petersburg State University of Telecommunications, 22 Prospekt Bolshevikov, 193232, St. Petersburg, Russia

    Grigoriy Fokin

Authors
  1. Irina Stepanets
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  2. Grigoriy Fokin
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Correspondence to Grigoriy Fokin .

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Editors and Affiliations

  1. Tampere University, Tampere, Finland

    Olga Galinina

  2. Tampere University, Tampere, Finland

    Sergey Andreev

  3. FRUCT Oy, Helsinki, Finland

    Sergey Balandin

  4. Tampere University, Tampere, Finland

    Yevgeni Koucheryavy

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Stepanets, I., Fokin, G. (2019). Beamforming Signal Processing Performance Analysis for Massive MIMO Systems. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN ruSMART 2019 2019. Lecture Notes in Computer Science(), vol 11660. Springer, Cham. https://doi.org/10.1007/978-3-030-30859-9_28

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  • DOI: https://doi.org/10.1007/978-3-030-30859-9_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-30858-2

  • Online ISBN: 978-3-030-30859-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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