Error probability minimization for MIMO systems with imperfect channel state information

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Error probability minimization for MIMO systems with imperfect channel state information
Title:
Error probability minimization for MIMO systems with imperfect channel state information
Journal Title:
2015 IEEE International Conference on Communications (ICC)
Keywords:
Publication Date:
08 June 2015
Citation:
H. D. Nguyen, B. S. Thian and S. Sun, "Error probability minimization for MIMO systems with imperfect channel state information," 2015 IEEE International Conference on Communications (ICC), London, 2015, pp. 4339-4344. doi: 10.1109/ICC.2015.7249005
Abstract:
Channel uncertainty degrades the performance of multiple-input multiple-output (MIMO) systems considerably. In the literature, capacity maximization for MIMO channels with imperfect channel state information (CSI) has been extensively investigated. However, the error probability minimization counterpart is less studied. In this paper, we aim to minimize the transmission error probability of MIMO systems with imperfect channel estimate and error covariance matrix available at the transmitter. We propose a precoder design which minimizes the maximum pair-wise error probability among every symbol pair. Compared with other schemes utilizing indirect alternatives, i.e., mean-square error (MSE) or approximated signal-to-noise ratio (SNR), numerical results show that the proposed design achieves a significant improvement in error performance
License type:
PublisherCopyrights
Funding Info:
Description:
(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
ISSN:
1550-3607
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