Abstract: A wireless communication method and apparatus in a wireless local area network (WLAN) system are disclosed. A wireless communication method according to one embodiment may include generating a high-efficiency Wi-Fi (HEW) frame including at least one of an HEW-SIG-A field and an HEW-SIG-B field which include channel information for communications according to an Orthogonal Frequency-Division Multiple Access (OFDMA) mode, and transmitting the generated HEW frame to a reception apparatus.

Abstract: An operation method performed by a terminal in a communication system may include: receiving, from a TRP, a first discovery signal including an identifier of a first transmission beam by using a first reception beam; measuring a first received signal strength of the first discovery signal; receiving, from the TRP, a second discovery signal including an identifier of a second transmission beam by using a second reception beam; measuring a second received signal strength of the second discovery signal; transmitting, to the TRP, first beam pair information including the identifier of the first transmission beam and an identifier of the first reception and the first received signal strength information; and transmitting, to the TRP, second beam pair information including the identifier of the second transmission beam and an identifier of the second reception beam and the second received signal strength information.

Abstract: An operation method of a first communication node may include: inputting first input data including first feedback information to a first encoder of a first artificial neural network corresponding to the first communication node; generating first latent data based on an encoding operation in the first encoder; generating a first feedback signal including the first latent data; and transmitting the first feedback signal to a second communication node, wherein the first latent data included in the first feedback signal is decoded into first restored data corresponding to the first input data in a second decoder of a second artificial neural network corresponding to the second communication node, and the first input data includes first common input data included in a common input data set previously shared between the first communication node and the second communication node.

Abstract: A method of a terminal may comprise: receiving a reference signal from a base station; generating a precoding vector based on the reference signal; generating a low-dimensional precoding vector by performing dimensionality reduction transformation on the precoding vector; quantizing the low-dimensional precoding vector; and transmitting the quantized low-dimensional precoding vector to the base station.

Abstract: An operation method of a first communication node may comprise: determining a latent space correction operation including a transformation operation for correcting latent data output from a first encoder of a first artificial neural network corresponding to the first communication node, based on information of a reference data set provided from a second communication node; encoding first input data including first feedback information through the first encoder; correcting first latent data output from the first encoder based on the determined latent space correction operation; and transmitting a first feedback signal including the corrected first latent data to the second communication node, wherein the corrected first latent data is decoded into first output data corresponding to the first input data in a second decoder of a second artificial neural network corresponding to the second communication node.

Abstract: A handover method of a first terminal in a wireless communication system may comprise: transmitting a first measurement report message to a first cell that is a primary cell (PCell); receiving, from the first cell, one or more first configuration messages for one or more target cells determined according to the first measurement report message; adding each of the one or more target cells as a candidate PCell based on the one or more first configuration messages; and performing data transmission and reception with at least one cell among the first cell and the one or more candidate PCells.

Abstract: A wireless communication method and apparatus in a wireless local area network (WLAN) system are disclosed. A wireless communication method according to one embodiment may include generating a high-efficiency Wi-Fi (HEW) frame including at least one of an HEW-SIG-A field and an HEW-SIG-B field which include channel information for communications according to an Orthogonal Frequency-Division Multiple Access (OFDMA) mode, and transmitting the generated HEW frame to a reception apparatus.

Abstract: A method of a terminal may comprise: receiving downlink reference signals from a base station; generating beam report information based on the downlink reference signals, and transmitting the beam report information to the base station; receiving, from the base station, beam prediction information based on the beam report information and valid time information on a valid time for the beam prediction information; and selecting a beam based on the beam prediction information and the valid time information, and using the selected beam.

Abstract: The present invention relates to a method and an apparatus for transmitting control and training symbols to improve transmission efficiency in a multi-user wireless communication system. The method for transmitting the control and training symbols in the multi-user wireless communication system according to one embodiment of the present invention comprises the steps of: determining whether a required transmission rate of each data can be satisfied through channel estimation in each of terminals when different data are simultaneously transmitted to each of the terminals; and transmitting a data frame to each of the terminals, the data frame being composed to discriminate the control and training symbols in each of the terminals using a combination of time, frequency, and code area when the required transmission rate of each data is not satisfied according to the determined result.

Abstract: An operation method of a receiver may comprise: receiving reference signals from a transmitter in an entire use band; generating first channel information by performing channel estimation on each of the reference signals; generating second channel information by removing noises from the first channel information using a first artificial neural network; and generating third channel information for a grid of the entire use band based on the second channel information using a second artificial neural network.

Abstract: A method of a receiver in a communication system may comprise: transmitting, to a transmitter, artificial intelligence (AI) capability information of the receiver; receiving, from the transmitter, AI model information generated based on the AI capability information; selecting one or more AI models from among a plurality of AI models indicated by the AI model information; transmitting information of the one or more AI models to the transmitter; receiving, from the transmitter, channel state information (CSI) configuration information including information of at least one AI model among the one or more AI models; generating CSI feedback information based on the at least one AI model indicated by the CSI configuration information; and transmitting the CSI feedback information to the transmitter.

Abstract: Disclosed are techniques for channel information transfer in a communication system. A method of a terminal may comprise: receiving, from a base station, first signal configuration information including transmission resource information of a first signal indicated for training; receiving, from the base station, at least one first signal according to the transmission resource information; and training an interference cancellation artificial neural network based on the at least one first signal.

Abstract: A method of a base station may comprise: receiving, from each of terminals belonging to the base station, a capability information report message related to an artificial neural network; generating artificial neural network configuration information based on capability of the base station and the capability information report message received from each of the terminals; and transmitting the generated artificial neural network configuration information to the terminals belonging to the base station.

Abstract: An operation method of a terminal in a communication system may include: receiving, from a base station, a first reference signal through a use channel; generating subchannel state information for each of a plurality of subchannels of the use channel based on the first reference signal; compressing the subchannel state information using a first neural network encoder; forming a subchannel group including at least one subchannel; generating subchannel group state information from the compressed subchannel state information of the at least one subchannel belonging to the subchannel group by using a second neural network encoder; and transmitting the subchannel group state information to the base station.

Abstract: An operation method of a terminal in a communication system may comprise: predicting traffic using a traffic prediction function configured according to traffic prediction configuration information; transmitting a buffer prediction status report including a traffic prediction result to a base station; receiving a first physical uplink shared channel (PUSCH) resource allocation information generated based on the buffer prediction status report; and transmitting data to the base station using first resources allocated by the first PUSCH resource allocation information.

Abstract: Disclosed are a method and an apparatus for enhanced conditional handover (CHO). An operation method of a base station may comprise: receiving a measurement report message from a terminal; transmitting a CHO request message to one or more candidate target cells; receiving a CHO request ACK message from the one or more candidate target cells; and transmitting an RRC reconfiguration message including CHO status report configuration information to the terminal, wherein the CHO status report configuration information requests transmission of information for determining a target cell to which terminal is likely to be handed over among the one or more candidate target cells.

Abstract: An operation method of a terminal using a channel estimation artificial intelligence (AI) model may comprise: receiving, from a base station, information on the channel estimation AI model; performing first channel estimation using the channel estimation AI model by receiving a first signal A from a base station; and receiving, from the base station, data based on the estimated channel.

Abstract: An operation method of a terminal may comprise: receiving, from a serving base station, measurement configuration information and measurement prediction configuration information; measuring signal strengths of the serving base station and a neighboring base station according to the measurement configuration information; predicting signal strengths of the serving base station and the neighboring base station based on a result of measuring the signal strengths of the serving base station and the neighboring base station, according to the measurement prediction configuration information; and transmitting, to the serving base station, a report message including the predicted signal strengths of the serving base station and the neighboring base station according to the measurement prediction configuration information.

Abstract: A method for transmitting and receiving signals, performed by a terminal, in a C-RAN environment, includes sequentially transmitting fixed beams; receiving, from at least one first TRP determined as TRP(s) performing signal transmission and reception with the terminal among the plurality of TRPs, control information including information on whether to transmit a reference signal for reception of downlink data and an index of a transmission beam selected for uplink transmission; and receiving the downlink data from the at least one first TRP, and demodulating the downlink data by using a reception beam weight derived from a weight used for transmission of the fixed beams or by using the reference signal.

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.