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Detection of pilot contamination attack using random training and massive MIMO
KTH, School of Electrical Engineering (EES), Signal Processing. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0003-2298-6774
2013 (English)In: Personal Indoor and Mobile Radio Communications (PIMRC), 2013 IEEE 24th International Symposium on, 2013, 13-18 p.Conference paper, Published paper (Refereed)
Abstract [en]

Channel estimation attacks can degrade the performance of the legitimate system and facilitate eavesdropping. It is known that pilot contamination can alter the legitimate transmit precoder design and strengthen the quality of the received signal at the eavesdropper, without being detected. In this paper, we devise a technique which employs random pilots chosen from a known set of phase-shift keying (PSK) symbols to detect pilot contamination. The scheme only requires two training periods without any prior channel knowledge. Our analysis demonstrates that using the proposed technique in a massive MIMO system, the detection probability of pilot contamination attacks can be made arbitrarily close to 1. Simulation results reveal that the proposed technique can significantly increase the detection probability and is robust to noise power as well as the eavesdropper's power.

Place, publisher, year, edition, pages
2013. 13-18 p.
Keyword [en]
Antennas, Channel estimation, MIMO, Phase shift keying, Signal to noise ratio, Training
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-138989DOI: 10.1109/PIMRC.2013.6666096Scopus ID: 2-s2.0-84893280523OAI: oai:DiVA.org:kth-138989DiVA: diva2:682146
Conference
Personal Indoor and Mobile Radio Communications (PIMRC), 2013 IEEE 24th International Symposium on
Note

Invited Paper. QC 20140205

Available from: 2013-12-23 Created: 2013-12-23 Last updated: 2014-02-05Bibliographically approved

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Ottersten, Björn

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  • apa
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  • de-DE
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  • en-US
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  • nn-NB
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  • Other locale
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Output format
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