Systems, devices and methods for scheduling wireless communications

An apparatus for a communication station configured to provide multi-user multiple-input multiple output (MU-MIMO) service, the apparatus comprising:

• processing circuitry, wherein to perform a multi-user selection for data transmission on a shared radio resource from a plurality of User Equipments (UEs), each of the UEs including a 5G new radio (NR), the processing circuitry is to:
• select one or more of the plurality of candidate UEs in time domain based on time-domain scheduling algorithm,
• obtain historical throughput data and input for each selected UE, the input comprising a channel state indicator including a single-user channel quality indicator (SU-CQI), a precoding matrix indicator (PMI), and rank indicator (RI), and a channel state matrix,
• implement a trained reinforcement learning agent (RL agent) using the obtained input to infer a rating score for each of the plurality of UEs comprising the implemented trained RL agent to:
• determine a correlation calculation between the UEs for each of a plurality of radio resources using the channel state matrices for each UE,
• determine a multi-user channel quality indicator (MU-CQI) from the correlation calculation and the obtained SU-CQIs,
• calculate a rating score for each of the plurality of UEs based on the correlation calculation, and the MU-CQI;
• and
• schedule the one or more the UEs for transmission respectively on the plurality of radio resources based on the plurality of score ratings and allocate the plurality of radio resources.