Pattern recognition and classification of packet error characteristics for Multi-user Multiple Input Multiple Output (MU-MIMO) optimization may be provided. First, a packet error characteristic data of a channel for a Downlink (DL) Multi-user (MU) group may be received. Next, the received packet error characteristic data may be provided as input data to a classifier model. Then, in response to providing the received packet error characteristic data as the input data to the classifier model, output data may be received from the classifier model. The output data may indicate at least one probability value corresponding to at least one channel effect. An optimization for improving performance of DL MU-MIMO in the presence of the at least one channel effect may then be performed when the at least one probability value is above or below a predetermined level.