Blind pilot decontamination

Beitrag in einer Fachzeitschrift
(Originalarbeit)


Details zur Publikation

Autor(en): Müller R, Cottatellucci L, Vehkapera M
Zeitschrift: IEEE Journal of Selected Topics in Signal Processing
Verlag: Institute of Electrical and Electronics Engineers (IEEE)
Jahr der Veröffentlichung: 2014
Band: 8
Heftnummer: 5
Seitenbereich: 773-786
ISSN: 1932-4553
Sprache: Englisch


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-Autoren / FAU-Herausgeber

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


Zitierweisen

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: 

Zuletzt aktualisiert 2018-19-04 um 03:18