Abstract: A method of a terminal may comprise: transmitting channel state prediction-related information to a base station; receiving a channel prediction request signal for a first time instance from the base station; receiving auxiliary reference signal(s) (RS(s)) and a first RS from the base station based on the channel state prediction-related information; and transmitting channel prediction information for the first time instance to the base station, wherein the channel state prediction-related information includes information indicating that channel state information prediction of the terminal is possible, and the channel prediction request signal includes configuration information of the auxiliary RS(s) and configuration information of the first RS.

Abstract: A method of a communication node may comprise: transmitting required network configurations for applying each of artificial neural network models to a network node; and transmitting a status report of the first model including a model identifier field and a model information field for each of the artificial neural network models to the network node to activate at least one artificial neural network model among the artificial neural network models, wherein each of the required network configurations includes a configuration identifier and network configuration information.

Abstract: A method of a terminal may comprise: receiving a channel state information (CSI) request message from a base station, the CSI request message including first indication information indicating one of quantization configuration information of a first artificial intelligence (AI) model configured in the terminal to encode and transmit CSI; quantizing generated CSI feedback information based on the first indication information; and transmitting a CSI report message including the quantized CSI feedback information to the base station.

Abstract: A method of a terminal may comprise: receiving, from a CU of a base station, configuration information of one or more candidate cells and configuration information for measurement; performing L1 measurement on the candidate cells based on the configuration information for measurement; acquiring uplink synchronization for the candidate cells by performing an uplink synchronization management procedure for the candidate cells based on the configuration information of the candidate cells; reporting a result of the L1 measurement to a DU of the base station; receiving, from the DU of the base station, information on a target cell, being the target cell to switch among the candidate cells, based on the result of the L1 measurement; and applying the uplink synchronization acquired through the uplink synchronization management procedure to the target cell.

Abstract: A method of monitoring and managing performance of an artificial neural network model for an air interface may comprise: receiving, by a network (NW) including a communication node performing a function of monitoring and managing performance of an artificial neural network model, a performance metric of the artificial neural network model from a user equipment (UE); and controlling, by the communication node, activation or deactivation of the artificial neural network model according to the performance metric, wherein the artificial neural network model is activated to improve a main performance metric of a mobile communication system including the communication node and the UE connected through an air interface.

Abstract: A method of a terminal may comprise: receiving a first message including state information of a base station from the base station; identifying preliminary inactive state information included in the first message when the state information of the base station indicates a preliminary inactive state; and performing a cell selection based on the preliminary inactive state information.

Abstract: A method of a terminal may comprise: receiving a reference signal from a base station; generating channel information based on the reference signal; generating wavelet-transformed channel information by applying wavelet transform to the channel information; generating compressed channel information by compressing the wavelet-transformed channel information; and transmitting the compressed channel information to the base station.

Abstract: A vacuum cleaner includes a suction nozzle including a housing that defines an inlet, a first shaft disposed at a side of the housing, a driver configured to rotate the first shaft, a rotating brush that extends along an axis and is configured to, based on rotation of the first shaft, rotate about the axis to thereby move dust on a surface to toward the inlet, a detachable cover configured to rotatably support a first end of the rotating brush, and a second shaft disposed at a second end of the rotating brush and configured to engage with the first shaft to rotate the rotating brush. The first shaft and the second shaft are configured to contact each other and to define first contact surfaces that have a spiral shape about the axis and that are configured to transfer rotational force from the first shaft to the second shaft.

Abstract: A vacuum cleaner is disclosed. The vacuum cleaner according to the present disclosure includes a main body and a suction nozzle. The suction nozzle includes a housing, a driver, a rotating brush, and a detachable cover. A pressing button is mounted in the housing. The detachable cover is rotated about the rotational axis of the rotating brush to be mounted in the housing. The pressing button selectively blocks rotation of the detachable cover.

Abstract: A vacuum cleaner includes a suction nozzle including a housing that defines an inlet, a first shaft disposed at a side of the housing, a driver configured to rotate the first shaft, a rotating brush that extends along an axis and is configured to, based on rotation of the first shaft, rotate about the axis to thereby move dust on a surface to toward the inlet, a detachable cover configured to rotatably support a first end of the rotating brush, and a second shaft disposed at a second end of the rotating brush and configured to engage with the first shaft to rotate the rotating brush. The first shaft and the second shaft are configured to contact each other and to define first contact surfaces that have a spiral shape about the axis and that are configured to transfer rotational force from the first shaft to the second shaft.