Blind pilot decontamination

Journal article
(Original article)


Publication Details

Author(s): Müller R, Cottatellucci L, Vehkapera M
Journal: IEEE Journal of Selected Topics in Signal Processing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Publication year: 2014
Volume: 8
Journal issue: 5
Pages range: 773-786
ISSN: 1932-4553
Language: English


Abstract


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.



FAU Authors / FAU Editors

Müller, Ralf Prof. Dr.-Ing.
Professur für Informationsübertragung


External institutions with authors

Aalto University Espoo
Institut Eurécom (EURECOM)


How to cite

APA:
Müller, R., Cottatellucci, L., & Vehkapera, M. (2014). Blind pilot decontamination. IEEE Journal of Selected Topics in Signal Processing, 8(5), 773-786. https://dx.doi.org/10.1109/JSTSP.2014.2310053

MLA:
Müller, Ralf, Laura Cottatellucci, and Mikko Vehkapera. "Blind pilot decontamination." IEEE Journal of Selected Topics in Signal Processing 8.5 (2014): 773-786.

BibTeX: 

Last updated on 2018-10-10 at 14:50