A Weighted Least Squares Approach to Precoding With Pilots for MIMO-OFDM
IEEE Transactions on Signal Processing
Multimode precoding for MIMO wireless systems
IEEE Transactions on Signal Processing - Part I
Multimode antenna selection for spatial multiplexing systems with linear receivers
IEEE Transactions on Signal Processing - Part II
Interpolation Based Unitary Precoding for Spatial Multiplexing MIMO-OFDM With Limited Feedback
IEEE Transactions on Signal Processing
Interpolation based transmit beamforming for MIMO-OFDM with limited feedback
IEEE Transactions on Signal Processing
Adaptive MIMO-OFDM based on partial channel state information
IEEE Transactions on Signal Processing
Reduced Feedback MIMO-OFDM Precoding and Antenna Selection
IEEE Transactions on Signal Processing
Interpolation-Based Multi-Mode Precoding for MIMO-OFDM Systems with Limited Feedback
IEEE Transactions on Wireless Communications
Limited feedback unitary precoding for spatial multiplexing systems
IEEE Transactions on Information Theory
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In this paper, we consider a precoder selection criterion for the maximum-likelihood (ML) detector in limited feedback spatial multiplexing systems. When the ML detector is employed, the exhaustive search for the optimal precoder selection requires very high computational complexity. As a good compromise, we propose a simple precoder selection scheme for the ML detector. It reduces the computational complexity significantly with negligible performance degradation. For the wideband OFDM systems, we extend the precoder selection by introducing a clustering concept in selecting the optimal precoder. Numerical results show that the proposed scheme achieves both the diversity order of the ML detector and the performance enhancement of the limited feedback spatial multiplexing. Moreover, the proposed precoder selection algorithm based on the clustering approach provides enhanced performance compared with conventional interpolation and clustering algorithms.