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Blind Pilot Decontamination
KTH, School of Electrical Engineering (EES), Communication Theory. Aalto University, Finland .
2014 (English)In: IEEE Journal on Selected Topics in Signal Processing, ISSN 1932-4553, E-ISSN 1941-0484, Vol. 8, no 5, 773-786 p.Article in journal (Refereed) Published
Abstract [en]

A subspace projection to improve channel estimation in massive multi-antenna systems is proposed and analyzed. Together with power-controlled hand-off, it can mitigate the pilot contamination problem without the need for coordination among cells. The proposed method is blind in the sense that it does not require pilot data to find the appropriate subspace. It is based on the theory of large random matrices that predicts that the eigenvalue spectra of large sample covariance matrices can asymptotically decompose into disjoint bulks as the matrix size grows large. Random matrix and free probability theory are utilized to predict under which system parameters such a bulk decomposition takes place. Simulation results are provided to confirm that the proposed method outperforms conventional linear channel estimation if bulk separation occurs.

Place, publisher, year, edition, pages
2014. Vol. 8, no 5, 773-786 p.
Keyword [en]
Multiple antennas, multiple-input multiple-output (MIMO) systems, massive MIMO, spread-spectrum, channel estimation, principal component analysis, random matrices, free probability, eigenvalue spectrum
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-154746DOI: 10.1109/JSTSP.2014.2310053ISI: 000342283600004Scopus ID: 2-s2.0-84901407627OAI: oai:DiVA.org:kth-154746DiVA: diva2:764499
Note

QC 20141119

Available from: 2014-11-19 Created: 2014-10-27 Last updated: 2017-12-05Bibliographically approved

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