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On the Separability of Signal and Interference-Plus-Noise Subspaces in Blind Pilot Decontamination
Linköping Univ, Dept Elect Engn ISY, S-58183 Linköping, Sweden..
Linköping Univ, Dept Elect Engn ISY, S-58183 Linköping, Sweden..ORCID iD: 0000-0002-5954-434x
Linköping Univ, Dept Elect Engn ISY, S-58183 Linköping, Sweden..
2016 (English)In: 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Institute of Electrical and Electronics Engineers (IEEE), 2016, p. 3421-3425, article id 7472312Conference 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. p. 3421-3425, article id 7472312
Series
International Conference on Acoustics Speech and Signal Processing ICASSP, ISSN 1520-6149
Keywords [en]
Multicell multiuser MIMO, pilot contamination, random matrix theory, spiked models
National Category
Signal Processing Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-295943DOI: 10.1109/ICASSP.2016.7472312ISI: 000388373403112Scopus ID: 2-s2.0-84973382910OAI: oai:DiVA.org:kth-295943DiVA, id: diva2:1664666
Conference
41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), MAR 20-25, 2016, Shanghai, China
Note

QC 20220616

Part of proceedings: ISBN 978-1-4799-9988-0

Available from: 2022-06-04 Created: 2022-06-04 Last updated: 2022-06-25Bibliographically approved

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Björnson, Emil

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