Provision of precoder selection policy for a multi-antenna transmitter

Abstract

Method and device(s) for providing precoder selection policy for a multi-antenna transmitter arranged to transmit data over a communication channel of a wireless communication network. Machine learning in the form of reinforcement learning is applied involving adaptation of an action value function configured to compute an action value based on information indicative of a precoder of the multi-antenna transmitter and of a state relating to at least the communication channel. The adaptation being further based on reward information provided by a reward function, indicative of how successfully data is transmitted over the communication channel, and the precoder selection policy is provided based on the adapted action value function resulting from the reinforcement learning.