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Massive MIMO with Imperfect Channel Covariance Information
Linköpings universitet, Institutionen för systemteknik, Kommunikationssystem. Linköpings universitet, Tekniska fakulteten.ORCID-id: 0000-0002-5954-434X
University of Pisa, Italy; University of Paris Saclay, France.
University of Paris Saclay, France; Huawei Technology, France.
2016 (engelsk)Inngår i: 2016 50TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS, IEEE COMPUTER SOC , 2016, s. 974-978Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
IEEE COMPUTER SOC , 2016. s. 974-978
Serie
Conference Record of the Asilomar Conference on Signals Systems and Computers, ISSN 1058-6393
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-139926DOI: 10.1109/ACSSC.2016.7869195ISI: 000406057400171ISBN: 978-1-5386-3954-2 (tryckt)OAI: oai:DiVA.org:liu-139926DiVA, id: diva2:1135147
Konferanse
50th Asilomar Conference on Signals, Systems, and Computers (ASILOMARSSC)
Merknad

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

Tilgjengelig fra: 2017-08-22 Laget: 2017-08-22 Sist oppdatert: 2019-06-28

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Totalt: 49 treff
RefereraExporteraLink to record
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  • harvard1
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  • vancouver
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
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  • nn-NB
  • sv-SE
  • Annet språk
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  • html
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  • asciidoc
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