Min-Max MSE Precoding for Broadcast Channels Based on Statistical Channel State Information

Linear precoding for the wireless MIMO broadcast channel with multiple antennas at the transmitter and non-cooperative single antenna receivers is considered. For statistical channel state information (CSI) at the transmitter a novel optimization problem for adaptive precoding based on the mean square error (MSE) is solved, which can also deal with incomplete CSI at the receivers, i.e., the receivers´ channel estimates rely on a common pilot channel. We explicitly model the receivers´ (limited) processing capabilities, which leads to a performance advantage over existing signal-to-interference-and-noise-ratio (SINR) approaches