In paper the numerical  investigation of the impact of delayed channel state information (CSI) due to user movement and caused channel aging on the performance of multiuser precoder in downlink MISO system. The  time variant CSI  is obtained by  the minimum-meansquare-error (MMSE) channel estimation.   We consider Zero Forcing (ZF) algorithm and numerical optimization based solution of calculating precoder vectors maximizimg sum rate of multiuser system.   
For numerical simulation the QUADRIGA channel model reflecting the real propagation conditions for moving users is used.    The obtained performance of  multiuser Zero Forcing  and  optimization based beamforming in spatially correlated channel are compared based on the empirical cumulative density function of the sum rate of multiple users.

Numerical Evaluation of the Optimal Precoder Design for Mobile Users in MISO System