REWARD FOR TILT OPTIMIZATION BASED ON REINFORCEMENT LEARNING (RL)

Organization Name

Telefonaktiebolaget LM Ericsson (publ)

Inventor(s)

Jose Outes Carnero of Torremolinos ES

Adriano Mendo Mateo of MÁLAGA ES

Juan Ramiro Moreno of MÁLAGA ES

Yak Ng Molina of MÁLAGA ES

Jose Maria Ruiz Aviles of MÁLAGA ES

Paulo Antonio Moreira Mijares of MÁLAGA ES

Rakibul Islam Rony of MÁLAGA ES

REWARD FOR TILT OPTIMIZATION BASED ON REINFORCEMENT LEARNING (RL)

This abstract first appeared for US patent application 18722640 titled 'REWARD FOR TILT OPTIMIZATION BASED ON REINFORCEMENT LEARNING (RL)

Original Abstract Submitted

Embodiments include computer-implemented methods for adjusting one or more operational parameters for a first cell of a communication network based on reinforcement learning (RL). Such methods include determining a plurality of reward metric values based on measurements representative of conditions in the first cell and in one or more neighbor cells of the first cell at a corresponding plurality of time instances. Such methods include determining a plurality of reward values based on differences between reward metric values at successive time instances and associating each of the reward values with a corresponding previous action that changed the one or more operational parameters. Such methods include selecting the previous action associated with a highest reward value as an action to change the one or more operational parameters. Other embodiments include RL agents and RL systems configured to perform such methods.