Covariance-based linear precoding

B. Zerlin, M. Joham, W. Utschick, J. A. Nossek

Research output: Contribution to journalArticlepeer-review

19 Scopus citations

Abstract

This paper extends the self-contained theory of linear precoding to the field of covariance based spatio-temporal downlink processing for direct-sequence code-division multiple-access (CDMA) systems and shows the applicability to the release 6 of high-speed downlink packet access (HSDPA). To this end, a unifying theory is developed to formulate the three known linear filters, namely, the transmit matched filter, the transmit zero-forcing filter, and the transmit Wiener filter, as optimization problems even in systems, where only covariance knowledge is available at the transmitter. Second, the solutions of these transmit filters are given for such systems with partial channel state information (CSI). Finally, it is shown how covariance-based linear precoding can be employed in the new generation CDMA system HSDPA, i.e., how channel estimation on the secondary common pilot channel allows for optimum full rank linear precoding employing only partial CSI.

Original languageEnglish
Pages (from-to)190-199
Number of pages10
JournalIEEE Journal on Selected Areas in Communications
Volume24
Issue number1
DOIs
StatePublished - Jan 2006

Keywords

  • CDMA system
  • Covariance-based linear precoding
  • Direct-sequence code-division multiple-access
  • HSDPA
  • High-speed downlink packet access
  • Linear filter
  • Self-contained theory
  • Spatio-temporal downlink processing
  • Transmit matched filter

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