Distributed Deep Reinforcement Learning to Increase Physical Uplink Shared Channel Throughput

A system, comprising:

• at least one processor;
• and
• at least one memory that stores executable instructions that, when executed by the at least one processor, facilitate performance of operations, comprising:
• communicating broadband cellular communications with a group of user equipment, wherein respective user equipment of the group of user equipment execute respective distributed deep reinforcement learning agents that are configured to determine respective transmission power levels for respective physical uplink shared channel transmissions based on respective local observations and respective learned policies;
• determining, using a centralized deep reinforcement learning agent, respective transmission power control commands for the respective user equipment, the respective user equipment utilizing the respective transmission power control commands as constraints in the respective distributed deep reinforcement learning agents;
• and
• receiving the respective physical uplink shared channel transmissions from the respective user equipment according to the respective transmission power levels.