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Analysis of nonlinear low-noise amplifiers in massive MIMO base stations
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-2093-5466
Ericsson Research, Gothenburg, Sweden.
Chalmers University of Technology, Gothenburg, Sweden.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7599-4367
2017 (English)In: 2017 51st Asilomar Conference on Signals, Systems, and Computers, 2017, p. 285-289Conference paper, Published paper (Refereed)
Abstract [en]

Because of the large number of antennas at the base station, the power consumption and cost of the low-noise amplifiers (LNAs) can be substantial. Therefore, we investigate the feasibility of inexpensive, power efficient LNAs, which inherently are less linear. To characterize the nonlinear distortion, we describe the LNAs using a polynomial model, which allows for the derivation of the second-order statistics of the received signal and the distortion. A massive MIMO system that serves one user in line-of-sight is studied. It is shown that the distortion from the LNAs combines coherently and that the SINR of the symbol estimates therefore is limited by the linearity of the LNAs. Furthermore, the impact of a strong transmitter in the adjacent frequency band is investigated. The second-order statistics show how the power from that transmission leaks into the main band and interferes with the symbol estimates.

Place, publisher, year, edition, pages
2017. p. 285-289
Series
Asilomar Conference on Signals, Systems, and Computers, ISSN 2576-2303
Keywords [en]
MIMO communication, higher order statistics, low noise amplifiers, nonlinear distortion, polynomials, power consumption, radio transmitters, telecommunication power management, massive MIMO base stations, massive MIMO system, nonlinear low-noise amplifiers, polynomial model, power efficient LNA, received signal, second-order statistics, transmitter impact, Base stations, Hardware, Indexes, Transmitters, low-noise amplifier, massive MIMO, nonlinear hardware
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:liu:diva-149661DOI: 10.1109/ACSSC.2017.8335184ISI: 000442659900050ISBN: 978-1-5386-1823-3 (electronic)ISBN: 978-1-5386-1824-0 (print)OAI: oai:DiVA.org:liu-149661DiVA, id: diva2:1233132
Conference
2017 51st Asilomar Conference on Signals, Systems, and Computers, 29 oct - 1 nov 2017, Pacific Grove, CA, USA
Note

Funding agencies: Vetenskapsradet (the Swedish research council); ELLIIT; Vinnova

Available from: 2018-07-16 Created: 2018-07-16 Last updated: 2018-09-21

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
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  • vancouver
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  • Other style
More styles
Language
  • de-DE
  • en-GB
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  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • asciidoc
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