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LARGE-SCALE FADING PRECODING FOR MAXIMIZING THE PRODUCT OF SINRS
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-5954-434X
2020 (English)In: 2020 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, IEEE , 2020, p. 5150-5154Conference paper, Published paper (Refereed)
Abstract [en]

This paper considers the large-scale fading precoding design for mitigating the pilot contamination in the downlink of multi-cell massive MIMO (multiple-input multiple-output) systems. Rician fading with spatially correlated channels are considered where the line-of-sight (LOS) components of the channels are randomly phase-shifted in each coherence block. The large-scale fading precoding weights are designed based on maximizing the product of the signal-to-interference-plus-noise ratios (SINRs) of the users, which provides a good balance between max-min fairness and sum rate maximization. The spectral efficiency (SE) is derived based on the scaled least squares (LS) estimates of the channels, which only utilize the despreaded pilot signals without any matrix inversion. Simulation results show that the two-layer large-scale fading precoding improves the SE of almost all users compared to the conventional single-layer precoding.

Place, publisher, year, edition, pages
IEEE , 2020. p. 5150-5154
Series
International Conference on Acoustics Speech and Signal Processing ICASSP, ISSN 1520-6149
Keywords [en]
Large-scale fading precoding; spectral efficiency; massive MIMO; Rician fading; proportional fairness
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-173867DOI: 10.1109/ICASSP40776.2020.9053886ISI: 000615970405082ISBN: 978-1-5090-6631-5 (electronic)OAI: oai:DiVA.org:liu-173867DiVA, id: diva2:1535621
Conference
IEEE International Conference on Acoustics, Speech, and Signal Processing, Barcelona, SPAIN, may 04-08, 2020
Note

Funding Agencies|ELLIIT; Wallenberg AI, Autonomous Systems and Software Program (WASP) - Knut and Alice Wallenberg Foundation

Available from: 2021-03-09 Created: 2021-03-09 Last updated: 2021-03-09

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf