A Reconfigurable Method for Time-Correlated MIMO Channels with a Decision Feedback Receiver

This work considers the combined design of bit loading, precoding and receives filters for a multiple-input-multipleoutput (MIMO) digital communication system. Both the transmitter and the receiver are assumed to know the channel matrix perfectly. It is well known that, for linear MIMO transceivers, orthogonal transmission (i.e., diagonalization of the channel matrix) is optimal for some criteria such as maximum mutual information. It has been shown that if the receiver uses the linear minimum mean squared error (MMSE) detector, the optimal transmission strategy is to perform bit loading on orthogonal sub-channels. The transmission rate of the channel is adapted by assigning bits dynamically to the subchannels of the MIMO system. A variable-rate MIMO system with a decision feedback receiver is considered.The nested sub-matrices are generated that can be updated as time evolves.Predictive quantization is used for the feedback of bit loading to take advantage of the time correlation inherited from the temporally correlated channel. To derive the optimal predictor of the next bit loading for predictive quantization & obtain the statistics of the prediction error using this method.The quantizer is designed to achieve a smaller quantization error.The process of comparing the decoding method is proposed to enhance the design and its methodology. This provides better outcome related to the MMSE and bit rate while comparing with the conventional methods.