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Massive MIMO with Imperfect Channel Covariance Information
Linköping Univ, ISY, Dept Elect Engn, Linköping, Sweden..ORCID iD: 0000-0002-5954-434x
Univ Pisa, Dipartimento Ingn Informaz, Pisa, Italy.;Univ Paris Saclay, CentraleSupelec, LANEAS, Large Networks & Syst Grp, Gif Sur Yvette, France..
Univ Paris Saclay, CentraleSupelec, LANEAS, Large Networks & Syst Grp, Gif Sur Yvette, France.;Huawei Technol, Math & Algorithm Sci Lab, Boulogne, France..
2016 (English)In: 2016 50TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS / [ed] Matthews, M B, IEEE COMPUTER SOC , 2016, p. 974-978Conference 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. p. 974-978
Series
Conference Record of the Asilomar Conference on Signals Systems and Computers, ISSN 1058-6393
National Category
Signal Processing Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-295937DOI: 10.1109/ACSSC.2016.7869195ISI: 000406057400171ISBN: 978-1-5386-3954-2 (print)OAI: oai:DiVA.org:kth-295937DiVA, id: diva2:1664575
Conference
50th Asilomar Conference on Signals, Systems and Computers (ASILOMARSSC), NOV 06-09, 2016, Pacific Grove, CA
Note

QC 20220620

Available from: 2022-06-03 Created: 2022-06-03 Last updated: 2023-04-26Bibliographically approved

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Björnson, Emil

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • de-DE
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  • en-US
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  • nn-NO
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Output format
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