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Performance Analysis of Massive MIMO With Distributed Jammers
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-5954-434X
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7599-4367
2020 (English)In: ICC 2020 - 2020 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), IEEE , 2020Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we analyze the uplink spectral efficiency (SE) of an arbitrary user in a single-cell massive multiple-input-multiple-output (MIMO) system in which there are jammers randomly distributed. We compare this SE with that of a user in a single-input-multiple-output (SIMO) system. We utilize two types of receivers that are widely used in massive MIMO literature: Maximum-ratio-combining (MRC) and zero-forcing (ZF). The jammers attack the base station (BS) during the training and data transmission phases. In order to estimate the channel vectors of the legitimate users, the BS uses either the linear minimum mean square error (LMMSE) estimator which requires information about the jamming power or the least squares (LS) estimator which does not require any knowledge about the jamming signals. We show that ZF gives higher SE than MRC, but interestingly the performance is unaffected by the choice of the estimators. Moreover, we derive the closed form signal-to-interference-noise ratio (SINR) for the MRC receiver when the jammers attack to the BS and based on this SINR expression we utilize power control algorithms that achieve max-min fairness and proportional fairness.

Place, publisher, year, edition, pages
IEEE , 2020.
Series
IEEE International Conference on Communications, ISSN 1550-3607
Keywords [en]
Massive MIMO; Distributed Jammers; Physical Layer Security; Spectral Efficiency; Power Control
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-173887DOI: 10.1109/ICC40277.2020.9149241ISI: 000606970303158ISBN: 978-1-7281-5089-5 (electronic)OAI: oai:DiVA.org:liu-173887DiVA, id: diva2:1535769
Conference
IEEE International Conference on Communications (IEEE ICC) / Workshop on NOMA for 5G and Beyond, ELECTR NETWORK, jun 07-11, 2020
Note

Funding Agencies|ELLIIT; SURPRISE project - Swedish Foundation for Strategic Research (SSF); Security-Link

Available from: 2021-03-09 Created: 2021-03-09 Last updated: 2021-03-09

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
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Language
  • de-DE
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  • Other locale
More languages
Output format
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