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In real multiple-input multiple-output (MIMO) systems, the perfect channel state information (CSI) may be costly or impossible to acquire. But the channel statistical information can be considered relatively stationary during long-term transmission. The statistical information can be obtained at the receiver and fed back to the transmitter and do not require frequent update. By exploiting channel mean and covariance information at the transmitter simultaneously, this paper investigates the optimal trans- mission strategy for spatially correlated MIMO channels. An upper bound of ergodic capacity is derived and taken as the per- formance criterion. Simulation results are also given to show the performance improvement of the optimal transmission strategy.
The real channel state information (CSI) may be costly or impossible to acquire. The statistical information can be belyly or impossible to acquire. obtained at the receiver and fed back to the transmitter and do not require frequent update. By exploiting channel mean and covariance information at the transmitter simultaneously, this paper investigates the optimal trans-mission strategy for spatially correlated correlated MIMO channels. An upper bound of ergodic capacity is derived and taken as the per-formance criterion. Simulation results are also given to show the performance improvement of the optimal transmission strategy.