Multi-agent deep reinforcement learning-enabled distributed power allocation scheme for mmwave cellular networks

Abstract

A base station associated with user devices in a wireless network includes a plurality of base stations. The base station includes a processor and a memory including instructions that, when executed by the processor, cause the base station to function as an actor network configured to determine a current transmit power, a critic network configured to evaluate a quality function of previous transmit powers of the base station based on local observations and previous transmit powers of neighboring base stations, and a decentralized training unit configured to train the quality function over the neighboring base stations. The neighboring base stations are a subset of the plurality of base stations, and the current transmit power is determined based on the previous transmit powers of the base station, direct channel gains between the base station and the user devices, and interference measures from the user devices.