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Channel Estimation for Massive MIMO in the Presence of Cauchy Noise
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-0046-7295
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7599-4367
2022 (English)In: ICC 2022 - IEEE International Conference on Communications, IEEE, 2022, p. 1769-1774Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we work on channel estimationtechniques for massive multiple-input multiple-output (MIMO) with Cauchy noise. In the standard massive MIMO setup, the users transmit orthonormal pilots during the training phase and the received signal in the base station is projected onto each orthonormal pilot signal. This process is optimum when the noise is Gaussian. In other words, the obtained signal after this processis the sufficient statistic and we do not lose any information. We show that this process is not optimum when the noise is Cauchy. Hence, we propose a channel estimation technique forthe unprocessed received signal. The proposed channel estimation technique is compared with the channel estimates that are obtained from the projected signal.

Place, publisher, year, edition, pages
IEEE, 2022. p. 1769-1774
Series
IEEE International Conference on Communications proceedings, ISSN 1938-1883
Keywords [en]
massive MIMO; Gaussian noise; Cauchy noise; channel estimation
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-188288DOI: 10.1109/ICC45855.2022.9838699ISI: 000864709902017ISBN: 9781538683477 (electronic)ISBN: 9781538683484 (print)OAI: oai:DiVA.org:liu-188288DiVA, id: diva2:1694260
Conference
IEEE International Conference on Communications, Hybrid: In-Person and Virtual Conference, Seoul, South Korea, 16–20 May 2022
Note

Funding: Swedish Foundation for Strategic Research (SSF)

Available from: 2022-09-08 Created: 2022-09-08 Last updated: 2022-12-13

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Gülgün, ZiyaLarsson, Erik G.

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • 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
  • rtf