Machine learning models for adjusting communication parameters

A system comprising:

• one or more computers;
• and
• one or more computer-readable media storing instructions that, when executed by the one or more computers, cause the one or more computers to perform operations comprising:
• obtaining, by the one or more computers, data for each terminal in a set of multiple satellite terminals, the data for each terminal indicating (i) a current satellite beam used by the terminal, (ii) an efficiency measure for communication of the terminal using the current satellite beam, and (iii) a geographic location of the terminal;
• training, by the one or more computers, a machine learning model based on the obtained data to receive an indication of a geographic location and predict a satellite beam capable of providing at least a minimum level of efficiency for communication at the geographic location;
• after training the machine learning model, generating, using the machine learning model, an indication of a predicted satellite beam for a particular geographic location, the predicted satellite beam being predicted by the trained machine learning model to provide at least the minimum level of efficiency for communication by a terminal at the particular geographic location;
• and
• determining, by the one or more computers, whether to change the current satellite beam for a terminal at the particular geographic location based on the predicted satellite beam.

One or more non-transitory computer-readable media storing instructions that, when executed by the one or more computers, cause the one or more computers to perform operations comprising:

• obtaining, by the one or more computers, data for each terminal in a set of multiple satellite terminals, the data for each terminal indicating (i) a current satellite beam used by the terminal, (ii) an efficiency measure for communication of the terminal using the current satellite beam, and (iii) a geographic location of the terminal;
• training, by the one or more computers, a machine learning model based on the obtained data to receive an indication of a geographic location and predict a satellite beam capable of providing at least a minimum level of efficiency for communication at the geographic location;
• after training the machine learning model, generating, using the machine learning model, an indication of a predicted satellite beam for a particular geographic location, the predicted satellite beam being predicted by the trained machine learning model to provide at least the minimum level of efficiency for communication by a terminal at the particular geographic location;
• and
• determining, by the one or more computers, whether to change the current satellite beam for a terminal at the particular geographic location based on the predicted satellite beam.