Change search
ReferencesLink to record
Permanent link

Direct link
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, 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
URN: urn:nbn:se:kth:diva-154746DOI: 10.1109/JSTSP.2014.2310053ISI: 000342283600004ScopusID: 2-s2.0-84901407627OAI: diva2:764499

QC 20141119

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

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Vehkaperä, Mikko
By organisation
Communication Theory
In the same journal
IEEE Journal on Selected Topics in Signal Processing
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 24 hits
ReferencesLink to record
Permanent link

Direct link