Relation between joint optimizations for multiuser MIMO uplink and downlink with imperfect CSI

Joint linear minimum sum mean-squared error (referred to as MSMSE) transmitter and receiver (transceiver) optimization problems are formulated for multiuser MIMO systems under a sum power constraint assuming imperfect channel state information (CSI). Both the uplink and the dual downlink are considered. Based on the Karush-Kuhn-Tucker (KKT) conditions associated with both problems, a relation between the two problems is discovered, which is termed the uplinkdownlink duality in sum MSE under imperfect CSI. As a result, the MSMSEs in both links are the same and any admissible uplink design satisfying the KKT conditions can be translated for application to the downlink, and vice versa. Simulation results are provided to demonstrate the duality and show the impact of imperfect CSI.

• Type: Conference
• Year: 2008
• Where: ICASSP
• Authors: Minhua Ding, Steven D. Blostein
• Keywords: ICASSP 2008, Imperfect Channel State, Imperfect Csi, Linear Minimum Sum, Signal Processing