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On the separability of signal and interference-plus-noise subspaces in blind pilot decontamination
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-5679-5867
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: 41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016, Institute of Electrical and Electronics Engineers (IEEE), 2016, 3421-3425 p.Conference paper, Published paper (Refereed)
Abstract [en]

Consider a multicell multiuser MIMO (multiple-input multiple-output) system with a very large number of antennas at each base station (BS). The number of users in each cell is assumed to be fixed as the number of BS antennas grows large. Under certain conditions on the powers of the transmitting users, the signal eigenvalue spectrum is asymptotically separated from the interference-plus-noise spectrum as the number of BS antennas grows large. As it was observed in [1], this phenomenon allows to mitigate the pilot contamination problem. We provide the power limits for each user in the cell of interest above which such a separation occurs asymptotically. Unlike the approximative methods used in [1], we obtain these power limits by making use of the exact asymptotic characterizations of the interference-plus-noise spectrum. The results are based on the theory of small rank perturbations of large dimensional random matrices.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2016. 3421-3425 p.
Series
Proceedings ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing, ISSN 1520-6149
Keyword [en]
Multicell multiuser MIMO, pilot contamination, random matrix theory, spiked models
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-128608DOI: 10.1109/ICASSP.2016.7472312ISI: 000388373403112ISBN: 978-147999988-0 (print)OAI: oai:DiVA.org:liu-128608DiVA: diva2:930677
Conference
41st IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2016
Available from: 2016-05-25 Created: 2016-05-25 Last updated: 2017-01-11Bibliographically approved

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Vinogradova, JuliaBjörnson, EmilLarsson, Erik

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