Abstract: The present disclosure relates to a 5G communication system or a 6G communication system for supporting higher data rates beyond a 4G communication system such as long term evolution (LTE).

Abstract: The present disclosure relates to a 5G or a 6G communication system for supporting higher data rates beyond a 4G communication system such as LTE. The present disclosure provides a method for an AI-based CSI report in a 5G or 6G communication system. The method performed by a base station in a wireless communication system include receiving capability information indicating whether the UE supports generation of AI-based CSI, receiving information on a change in inference time related to the AI-based CSI generation and information on a change in a channel state, based on the capability information, identifying information on a CSI report timing, based on the information on the change in the inference time and the change in the channel state, transmitting RRC configuration information including the CSI report timing, transmitting a CSI-RS, and receiving the CSI report based on the CSI-RS and the information on the CSI report timing.

Abstract: The disclosure relates to a 5G or 6G communication system for supporting a higher data transfer rate than a 4G communication system such as LTE. According to an embodiment, a method performed by a terminal in a wireless communication system may include transmitting, to a base station, training capability information of the terminal relating to artificial intelligence (AI) model training of an autoencoder configured to compress and reconstruct feedback information for a channel state information-reference signal (CSI-RS), receiving, from the base station, information on a training completion time point and decoder information determined based on the training capability information, generating a training dataset for the autoencoder, based on at least one received CSI-RS, training the autoencoder, based on the decoder information, the information on the training completion time point, and the generated training dataset, and transmitting training result information of the autoencoder to the base station.

Abstract: Disclosed is a 5th generation (5G) or 6th generation (6G) communication system for supporting higher data rates after a 4th generation (4G) communication systems such as long term evolution (LTE). An operating method of a base station includes receiving, from a user equipment (UE), information about channel state information (CSI) measured based on a first CSI-reference signal (RS), determining, based on the information about the CSI, one autoencoder (AE), from among a plurality of AEs, transmitting, to the UE, information indicating an encoder included in the determined AE, transmitting a second CSI-RS to the UE, receiving, from the UE, CSI compressed based on CSI measured using the second CSI-RS and the indicated encoder, and performing reconstruction based on the compressed CSI and a decoder included in the determined AE.

Abstract: Disclosed is a method by which a base station (BS) updates an autoencoder (AE) for channel state information (CSI) feedback in a wireless communication system, including transmitting, to a user equipment (UE), a data collect instruction message instructing to collect data before compression corresponding to compressed data, receiving data before the compression from the UE, and updating an AE, based on the received data before compression.

Abstract: The disclosure relates to a 6th generation (6G) communication system for optimizing a network while being applied in various industrial fields through connection between 5th generation (5G) or beyond 5G things and networks for supporting a higher data rate. A method performed by user equipment (UE) in a wireless communication system is provided, including receiving configuration information related to an artificial intelligence (AI) model from a base station; performing monitoring of a first AI model of the UE for encoding and decoding channel state information (CSI); and reporting a monitoring result to the base station. The first AI model includes a first encoder and a first decoder of the UE, and the first decoder may be related to a second AI model of the base station including a second decoder.

Abstract: The present disclosure relates to a 5G communication system or a 6G communication system for supporting higher data rates beyond a 4G communication system such as long term evolution (LTE). A method performed by a first entity transmitting data in a wireless communication system is provided. The method includes detecting a nonlinearity of a transmission power of a signal transmitted from the first entity is changed, transmitting, to a second entity, a nonlinearity state indicator corresponding to the changed nonlinearity, and transmitting, to the second entity, data according to the nonlinearity state indicator.