Abstract: Although MU-MEMO is a promising technology for wireless system but the field implementation for MU-MEMO has not been so successful, one of the reasons is significant overhead required to dynamically adapt to any changes in the wireless channel. The current technology is limited by the implementation complexity and have not yielded good performance in the field setup. Hence, the current disclosure proposes an end-to-end system and method to achieving MU-MIMO transmission, by providing a flexible framework for the selection of channel decomposition techniques, and significantly reduce computation complexity by limiting the number of prospective MU-MIMO candidates. The disclosure currently considers the QoS priority while selecting MU-MEMO candidate list which allows us to maintain the scheduler KPIs.