Interpolation based transmit beamforming for MIMO-OFDM with limited feedback
IEEE Transactions on Signal Processing
Reduced Feedback MIMO-OFDM Precoding and Antenna Selection
IEEE Transactions on Signal Processing
Recursive and Trellis-Based Feedback Reduction for MIMO-OFDM with Rate-Limited Feedback
IEEE Transactions on Wireless Communications
Grassmannian beamforming for multiple-input multiple-output wireless systems
IEEE Transactions on Information Theory
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For transmit beamforming in multiple-input multiple-output orthogonal frequency division multiplexing (MIMO-OFDM) systems, channel state information (CSI) need to be available to the transmitter. Clustering is an effective approach to reduce the data rate of CSI feedback. In this paper, different clustering schemes are investigated, and a new clustering method based on mean channel response is proposed. Further, we present an effective feedback reduction method, where the residual frequency correlation of adjacent clusters is exploited to reduce the feedback overhead. The simulation results show that the proposed clustering method has the similar BER performance with low computation complexity relative to the SNR-maximizing clustering, and the feedback reduction approach can reduce remarkably the feedback rate with some performance loss.