Method and apparatus for transmitting channel information based on machine learning
AssigneeElectronics and Telecommunications Research Institute
InventorsYong Jin Kwon, Yun Joo Kim, Hyun Seo Park, An Seok Lee, Yu Ro Lee, Heesoo Lee
Life of this patent
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Abstract
A method of a base station may comprise: determining one of machine learning (ML) models for receiving channel information for a channel to communicate with a terminal based on capability information of the terminal; providing configuration information of the determined ML model to the terminal; updating the determined ML model through online training with the terminal; and receiving channel information using the updated ML model from the terminal when communicating with the terminal.
Claims20
A method of a base station, comprising:
- determining one of machine learning (ML) models for receiving channel information for a channel to communicate with a terminal based on capability information of the terminal;
- providing configuration information of the determined ML model to the terminal;
- updating the determined ML model through online training with the terminal;
- and
- receiving channel information using the updated ML model from the terminal when communicating with the terminal.
Abase station comprising:
- a transceiver configured to transmit and receive signals with at least one terminal by using an machine learning (ML) model;
- and
- at least one processor,
- wherein the at least one processor is executed to:
- determine one of ML models for receiving channel information for a channel to communicate with a terminal based on capability information of the terminal;
- provide configuration information of the determined ML model to the terminal through the transceiver;
- update the determined ML model through online training with the terminal;
- and
- receive channel information using the updated ML model from the terminal when communicating with the terminal.
A method of a terminal, comprising:
- configuring an machine learning (ML) model to be used for communication with a base station based on configuration information of the ML model received from the base station;
- updating the ML model through online training with the base station;
- measuring channel information during communication with the base station;
- generating compressed bits corresponding to the measured channel information by using the updated ML model;
- and
- transmitting the generated compressed bits to the base station.
Dependencies are inferred from the claim text.