Language model-based downlink grant prediction

An apparatus for wireless communications, comprising a processing system that includes one or more processors and one or more memories coupled with the one or more processors, the processing system configured to cause a network node to:

• provide, to one or more generative artificial intelligence (AI) language models, input data including information associated with past communications, wherein the one or more generative AI language models are pre-trained based at least in part on training data that includes one or more training tokens associated with a wireless communication protocol;
• obtain, from the one or more generative AI language models, output data that includes an indication of one or more downlink grant predictions;
• and
• communicate with one or more UEs based at least in part on the output data.

A method for wireless communications by a user equipment, comprising:

• providing, to one or more generative artificial intelligence (AI) language models, input data including information associated with past communications, wherein the one or more generative AI language models are pre-trained based at least in part on training data that includes one or more training tokens associated with a wireless communication protocol;
• obtaining, from the one or more generative AI language models, output data that includes an indication of one or more downlink grant predictions;
• and
• communicating based at least in part on the output data.