Ue-driven sequential training

A first network node for wireless communication, comprising:

• at least one processor;
• and
• a memory coupled to the at least one processor,
• wherein the at least one processor is configured to:
• receive a sequential training dataset from a second network node;
• train a base station decoder based on the sequential training dataset to generate decoder model information;
• and
• transmit the decoder model information for the base station decoder to a third network node.

A first network node for wireless communication, comprising:

• at least one processor;
• and
• a memory coupled to the at least one processor,
• wherein the at least one processor is configured to:
• transmit channel state information data to a second network node;
• receive encoder model information from the second network node, the encoder model information based on the channel state information data;
• and
• transmit data to a third network node by encoding the data based on the encoder model information.

A first network node for wireless communication, comprising:

• at least one processor;
• and
• a memory coupled to the at least one processor,
• wherein the at least one processor is configured to:
• receive decoder model information for a shared base station decoder from a second network node;
• and
• receive encoded data from a third network node by decoding the encoded data based on the shared base station decoder.