Method and device for beam management in communication system
AssigneeElectronics and Telecommunications Research Institute
InventorJi Hyung KIM
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Abstract
A technique for beam management in a communication system is disclosed. Provided is the method of a terminal, comprising the steps of: receiving reference signals through primary candidate beams from a base station; acquiring measurement information about the reference signals of the primary candidate beams; using an AI/ML model on the basis of the measurement information about the primary candidate beams so as to select secondary candidate beams; and transmitting, to the base station, the information about the selected secondary candidate beams.
Claims20
A method of a terminal, comprising:
- receiving reference signals from a base station through primary candidate beams;
- generating measurement information for the reference signals of the primary candidate beams;
- selecting N secondary candidate beams using an artificial intelligence (AI)/machine learning (ML) model based on the measurement information for the primary candidate beams;
- and
- transmitting information on the selected N secondary candidate beams to the base station,
- wherein N is a positive integer.
A method of a base station, comprising
- transmitting reference signals to a terminal through primary candidate beams;
- receiving information on secondary candidate beams selected by the terminal based on measurement information for the primary candidate beams;
- selecting tertiary candidate beams using an AI/ML model based on the information on the secondary candidate beams;
- and
- transmitting reference signals to the terminal through the tertiary candidate beams.
A terminal comprising a processor,
- wherein the processor causes the terminal to perform:
- receiving reference signals from a base station through primary candidate beams;
- generating measurement information for the reference signals of the primary candidate beams;
- selecting N secondary candidate beams using an artificial intelligence (AI)/machine learning (ML) model based on the measurement information for the primary candidate beams;
- and
- transmitting information on the selected N secondary candidate beams to the base station,
- wherein N is a positive integer.
Dependencies are inferred from the claim text.