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Transmit beamforming for space-frequency coded MIMO-OFDM systems with spatial correlation feedback

  • Qualcomm Incorporated
  • University of Maryland, College Park

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

This paper addresses the problem of joint optimization of transmit beamforming and space-frequency (SF) coding for MIMO-OFDM systems with spatial correlation feedback in broadband communications. This problem is challenging in the sense that the transmitter should be designed to beamform across multiple eigenspaces associated with the multipath environment simultaneously. With arbitrary transmit spatial correlation, the performance analysis for SF-coded MIMO-OFDM systems with beamforming is provided, and a general optimization problem for the beamforming design is formulated. Three suboptimal approaches to design the beamformer based on the derived design criteria are proposed: i) Eigenvalue selection scheme; ii) Eigenspace selection scheme; and iii) Per-subcarrier approach based on decoding at each subcarrier. The proposed schemes take into account the multiple eigenspace information associated with the multipath-delay channel. Improvement in the performance over SF coding without beamforming is shown through simulations in terms of bit error rate. The Eigenvalue selection scheme provides the best performance among the proposed algorithms. This scheme locates the subspace associated with the largest eigenvalues in the eigenspace of the covariance matrices. With the Eigenvalue selection scheme, the performance improvement is about 3 dB over the SF coding without beamforming for highly correlated channels as shown in our simulations.

Original languageEnglish
Pages (from-to)1647-1655
Number of pages9
JournalIEEE Transactions on Communications
Volume56
Issue number10
DOIs
StatePublished - 2008

Keywords

  • Broadband wireless communications
  • Correlation feedback
  • MIMO OFDM systems
  • Multiple antennas
  • Space-frequency coding
  • Transmit beamforming across multiple eigenspaces

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