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Massive MIMO with Imperfect Channel Covariance Information
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.
University of Pisa, Italy; University of Paris Saclay, France.
University of Paris Saclay, France; Huawei Technology, France.
2016 (English)In: 2016 50TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, IEEE COMPUTER SOC , 2016, 974-978 p.Conference paper, Published paper (Refereed)
Abstract [en]

This work investigates the impact of imperfect statistical information in the uplink of massive MIMO systems. In particular, we first show why covariance information is needed and then propose two schemes for covariance matrix estimation. A lower bound on the spectral efficiency (SE) of any combining scheme is derived, under imperfect covariance knowledge, and a closed-form expression is computed for maximum-ratio combining. We show that having covariance information is not critical, but that it is relatively easy to acquire it and to achieve SE close to the ideal case of having perfect statistical information.

Place, publisher, year, edition, pages
IEEE COMPUTER SOC , 2016. 974-978 p.
Series
Conference Record of the Asilomar Conference on Signals Systems and Computers, ISSN 1058-6393
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-139926DOI: 10.1109/ACSSC.2016.7869195ISI: 000406057400171ISBN: 978-1-5386-3954-2 OAI: oai:DiVA.org:liu-139926DiVA: diva2:1135147
Conference
50th Asilomar Conference on Signals, Systems, and Computers (ASILOMARSSC)
Note

Funding Agencies|ERC [305123 MORE]; project 5GIOTTO - University of Pisa; ELLIIT; CENIIT

Available from: 2017-08-22 Created: 2017-08-22 Last updated: 2017-08-22

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • 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
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