Vector quantization methods for ue-driven multi-vendor sequential training

A base station-associated entity, comprising:

• at least one memory;
• and
• at least one processor coupled to the at least one memory, the at least one processor configured to:
• receive a sequential training dataset from at least a first UE-associated entity, the sequential training dataset including:
• one of an input vector set or an output vector set;
• and
• one of an encoded and unquantized intermediate vector set or an encoded and quantized intermediate vector set;
• determine a quantization codebook to be applied to encoded and quantized uplink control information;
• and
• train a decoder to decode the encoded and quantized uplink control information based on the sequential training dataset and the quantization codebook.

A method performed at a user equipment (UE) associated entity, comprising:

• training an encoder to encode uplink control information;
• determining a quantization codebook to be applied to the encoded uplink control information;
• and
• sharing a sequential training dataset with a base station-associated entity, the sequential training dataset including:
• one of an input vector set or an output vector set;
• and
• one of an encoded and unquantized intermediate vector set or an encoded and quantized intermediate vector set.