Blind pilot decontamination

Ralf R. Müller, Laura Cottatellucci, Mikko Vehkaperä

Research output: Contribution to journalArticleScientificpeer-review

304 Citations (Scopus)

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.
Original languageEnglish
Article number6756975
Pages (from-to)773-786
JournalIEEE Journal on Selected Topics in Signal Processing
Volume8
Issue number5
DOIs
Publication statusPublished - 1 Oct 2014
MoE publication typeA1 Journal article-refereed

Keywords

  • channel estimation
  • eigenvalue spectrum
  • free probability
  • massive MIMO
  • Multiple antennas
  • multiple-input multiple-output (MIMO) systems
  • principal component analysis
  • random matrices
  • spread-spectrum

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