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View all- Schmidt ASchober RGerstacker W(2017)Nonlinear Equalization Approaches for Physical Layer Network CodingIEEE Transactions on Wireless Communications10.1109/TWC.2016.263069416:2(825-838)Online publication date: 1-Feb-2017
MMSE beamforming for SC-FDMA transmission over MIMO ISI channels
Authors: 
Uyen Ly Dang, Michael A. Ruder, Robert Schober, Wolfgang H. GerstackerAuthors Info & Claims
Uyen Ly Dang, Michael A. Ruder, Robert Schober, Wolfgang H. GerstackerAuthors Info & ClaimsArticle No.: 7, Pages 1 - 11
Abstract
We consider transmit beamforming for single-carrier frequency-division multiple access (SC-FDMA) transmission over frequency-selective multiple-input multiple-output (MIMO) channels. The beamforming filters are optimized for minimization of the sum of the mean-squared errors (MSEs) of the transmitted data streams after MIMO minimum mean-squared error linear equalization (MMSE-LE), and for minimization of the product of the MSEs after MIMO MMSE decision-feedback equalization (MMSE-DFE), respectively. We prove that for SC-FDMA transmission in both cases eigenbeamforming, diagonalizing the overall channel, together with a nonuniform power distribution is the optimum beamforming strategy. The optimum power allocation derived for MMSE-LE is similar in spirit to classical results for the optimum continuous-time transmit filter for linear modulation formats obtained by Berger/Tufts and Yang/Roy, whereas for MMSE-DFE the capacity achieving waterfilling strategy well known from conventional single-carrier transmission schemes is obtained. Moreover, we present a modification of the beamformer design to mitigate an increase of the peak-to-average power ratio (PAPR) which is in general associated with beamforming. Simulation results demonstrate the high performance of the proposed beamforming algorithms.
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- MMSE beamforming for SC-FDMA transmission over MIMO ISI channels
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Publication History
Published: 01 January 2011
Accepted: 09 November 2010
Revised: 14 October 2010
Received: 12 May 2010
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View all- Schmidt ASchober RGerstacker W(2017)Nonlinear Equalization Approaches for Physical Layer Network CodingIEEE Transactions on Wireless Communications10.1109/TWC.2016.263069416:2(825-838)Online publication date: 1-Feb-2017
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