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Large-scale Massive MIMO Network Evaluation Using Ray-based Deterministic Simulations
SIRADEL, France.
SIRADEL, France.
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
2018 (English)In: 2018 IEEE 29TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC), IEEE , 2018Conference paper, Published paper (Refereed)
Abstract [en]

Large-scale massive MIMO network deployments can provide higher spectral efficiency and better coverage for future communication systems like 5G. Due to the large number of antennas at the base station, the system achieves stable channel quality and spatially separable channels to the different users. In this paper, linear, planar, circular and cylindrical arrays are used in the evaluation of a large-scale multi-cell massive MIMO network. The system-level performance is predicted using two different kinds of channel models. First, a ray-based deterministic tool is utilized in a real North American city environment. Second, an independent and identically distributed (i.i.d.) Rayleigh fading channel model is considered, as often used in previously published massive MIMO studies. The analysis is conducted in a 16-macro-cell network with outdoor and randomly distributed users. It is shown that the array configuration has a large impact on the throughput statistics. Although the system level performance with i.i.d. Rayleigh fading can be close to the deterministic prediction in some situations (e.g., with large linear arrays), significant differences are noticed when considering other types of arrays.

Place, publisher, year, edition, pages
IEEE , 2018.
Series
IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications workshops, ISSN 2166-9570
Keywords [en]
Massive MIMO; channel modelling; ray-based model
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:liu:diva-154762DOI: 10.1109/PIMRC.2018.8580760ISI: 000457761900055ISBN: 978-1-5386-6009-6 (print)OAI: oai:DiVA.org:liu-154762DiVA, id: diva2:1291729
Conference
29th IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
Note

Funding Agencies|European Commission [641985]

Available from: 2019-02-26 Created: 2019-02-26 Last updated: 2019-06-28

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CiteExportLink to record
Permanent link

Direct link
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