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How Much Will Tiny IoT Nodes Profit from Massive Base Station Arrays?
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
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7599-4367
2018 (English)In: 2018 26TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), IEEE COMPUTER SOC , 2018, p. 832-836Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we study the benefits that Internet-of-Things (IoT) devices will have from connecting to a massive multiple-input-multiple-output (MIMO) base station. In particular, we study how many users that could be simultaneously spatially multiplexed and how much the range can be increased by deploying massive base station arrays. We also investigate how the devices can scale down their uplink power as the number of antennas grows with retained rates. We consider the uplink and utilize upper and lower bounds on known achievable rate expressions to study the effects of the massive arrays. We conduct a case study where we use simulations in the settings of existing IoT systems to draw realistic conclusions. We find that the gains which ultra narrowband systems get from utilizing massive MIMO are limited by the bandwidth and therefore those systems will not be able to spatially multiplex any significant number of users. We also conclude that the power scaling is highly dependent on the nominal signal-to-noise ratio (SNR) in the single-antenna case.

Place, publisher, year, edition, pages
IEEE COMPUTER SOC , 2018. p. 832-836
Series
European Signal Processing Conference, ISSN 2076-1465
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-154134DOI: 10.23919/EUSIPCO.2018.8553057ISI: 000455614900168ISBN: 978-90-827970-1-5 (print)OAI: oai:DiVA.org:liu-154134DiVA, id: diva2:1283378
Conference
European Signal Processing Conference (EUSIPCO)
Note

Funding Agencies|Swedish Research Council (VR); ELLIIT

Available from: 2019-01-29 Created: 2019-01-29 Last updated: 2019-06-28

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • Other style
More styles
Language
  • de-DE
  • en-GB
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  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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