Method and apparatus for removing channel noise in wireless communication system

A method of a base station, comprising:

• transmitting an initial global artificial intelligence (AI) model for channel noise cancellation to each of user equipments (UEs) when the UEs initially access the base station;
• transmitting preconfigured local data to the UEs;
• receiving, from each of the UEs, a first message including local AI model update information;
• generating a first global AI model by updating the initial global AI model based on the first messages;
• and
• transmitting information on the first global AI model to the UEs,
• wherein the first message includes at least one of information on the initial global AI model, the local AI model update information, or hyperparameters related to the initial global AI model and the local AI model.

A user equipment (UE) comprising at least one processor, wherein the at least one processor causes the UE to perform:

• configuring a local artificial intelligence (AI) model for channel noise cancellation of the UE based on an initial global AI model for channel noise cancellation;
• training the local AI model using local data received from a base station;
• generating local AI model update information based on the training of the local AI model;
• transmitting, to the base station, a first message including the local AI model update information;
• and
• receiving, from the base station, a first global AI model obtained by updating the initial global AI model,
• wherein the first message includes at least one of information on the initial global AI model, the local AI model update information, or hyperparameters related to the global AI model and the local AI model.