Systems and methods for machine learning based radio resource usage for improving coverage and capacity

A system, comprising:

• at least one baseband unit (BBU);
• one or more radio units communicatively coupled to the at least one BBU;
• one or more antennas communicatively coupled to the one or more radio units, wherein each respective radio unit of the one or more radio units is communicatively coupled to a respective subset of the one or more antennas;
• wherein the at least one BBU, the one or more radio units, and the one or more antennas are configured to implement a base station for wirelessly communicating with user equipment;
• and
• a machine learning computing system configured to:
• receive time data and traffic data;
• and
• determine a predicted radio resource usage of the base station based on the time data and the traffic data;
• wherein the system is configured to adjust operation of at least one radio unit of the one or more radio units based on the predicted radio resource usage of the base station.