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DETECTION AND MITIGATION OF JAMMING ATTACKS IN MASSIVE MIMO SYSTEMS USING RANDOM MATRIX THEORY
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.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0002-7599-4367
2016 (English)In: 2016 IEEE 17TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC), IEEE , 2016Conference paper (Refereed)
Abstract [en]

Consider the uplink of a single-cell multiuser MIMO system with a very large number of antennas, M, at the base station (BS) and K single-antenna users. A jamming device equipped with K-J antennas transmitting signals attempts to degrade the transmission between the users and the BS. In this paper, we propose a detection algorithm of the jamming attack as well as a method for its rejection. The proposed results are based on the application of results from random matrix theory. We assume that K and K-J are fixed as M converges to infinity while the coherence interval tau is assumed to be of the same order of magnitude as M

Place, publisher, year, edition, pages
IEEE , 2016.
Series
, IEEE International Workshop on Signal Processing Advances in Wireless Communications, ISSN 2325-3789
Keyword [en]
Massive MIMO; jamming attack; detection; random matrix theory
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-132693DOI: 10.1109/SPAWC.2016.7536868ISI: 000382942700143ISBN: 978-1-5090-1749-2OAI: oai:DiVA.org:liu-132693DiVA: diva2:1048102
Conference
17th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
Available from: 2016-11-20 Created: 2016-11-18 Last updated: 2016-11-20

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