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Multigroup Multicast Precoding in Massive MIMO
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering. Singapore Univ Technol and Design, Singapore.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-5954-434X
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7599-4367
Singapore Univ Technol and Design, Singapore.
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2017 (English)In: GLOBECOM 2017 - 2017 IEEE GLOBAL COMMUNICATIONS CONFERENCE, IEEE , 2017Conference paper, Published paper (Refereed)
Abstract [en]

Optimal physical layer multicasting (PLM) is an NP-hard problem that for simplicity has been studied under idealistic assumptions, e.g., availability of perfect channel state information (CSI), both at the base station (BS) and at the user terminals (UTs). With the advent of massive multiple-input-multiple-output (MIMO), PLM has become more challenging, as the computational complexity of the precoder design is proportional to the number of BS antennas. In this paper, we address these issues by introducing computationally efficient precoders that account for practical CSI acquisition. We derive achievable spectral efficiency expressions for the proposed precoders. Then we introduce a novel problem formulation for the max-min fairness power control that accounts the CSI acquisition overhead, uplink training and downlink transmission powers. We solve this problem and find the optimal uplink and downlink power control policies in closed form. Using numerical simulations, we verify the effectiveness of our proposed schemes compared to the-state-of-the-art PLM schemes for massive MIMO systems.

Place, publisher, year, edition, pages
IEEE , 2017.
Series
IEEE Global Communications Conference, ISSN 2334-0983
Keywords [en]
Physical layer multicasting; Massive MIMO; beamforming; large-scale antenna systems
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:liu:diva-147600DOI: 10.1109/GLOCOM.2017.8254889ISI: 000428054304161ISBN: 978-1-5090-5019-2 (print)OAI: oai:DiVA.org:liu-147600DiVA, id: diva2:1201682
Conference
IEEE Global Communications Conference (GLOBECOM)
Note

Funding Agencies|Swedish Research Council (VR); Swedish Foundation for Strategic Research (SSF); ELLIIT; A*Star SERC project [142-02-00043]

Available from: 2018-04-26 Created: 2018-04-26 Last updated: 2019-06-28

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Sadeghi, MeysamBjörnson, EmilLarsson, Erik G
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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • 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