Abstract:
Provided is a wireless communication method performed at an access point to enhance the transmission efficiency in a wireless local area network (WLAN) system, the method including scheduling a transmission time of an enhanced traffic indicator map (TIM) frame based on a type of a station, and transmitting a second beacon including the enhanced TIM frame to the station at a point in time aside from a transmission point in time of a first beacon.
Abstract:
Disclosed are a frame transmission method using a selective beamforming and a communication apparatus to perform the frame transmission method. The communication apparatus may determine a beamforming matrix based on classification information in which a plurality of subcarriers used for communication is classified into a plurality of frequency units, may map a long training field (LTF) sequence to the beamforming matrix, and transmit a beamforming training (BF-T) frame including the mapped LTF sequence to a plurality of stations, may receive, from the plurality of stations having receiving the BF-T frame, feedback information generated based on a reception strength of the BF-T frame, and may allocate frequency units to data frames to be transmitted to the plurality of stations based on the feedback information, and transmit the data frames using the allocated frequency units. The reception strength of the BF-T frame may be determined at each station for each frequency unit.
Abstract:
Provided is a data frame transmission method of a communication apparatus, the method including determining whether a transmission allowance condition of a data frame of the communication apparatus is satisfied when another communication apparatus occupies a channel, verifying an end time of another data frame transmitted by the other communication apparatus based on a result of the determining, and transmitting the data frame based on the verified end time.
Abstract:
Provided is a user identification method and apparatus in a multi-user wireless communication system, the method including generating first identification information by reflecting masking identification (ID) information to group ID information associated with a received signal, generating second identification information based on a correspondence relationship between the generated first identification information and possible group ID (PGU) information transferred from an available access point (AP), and determining a user position based on the generated second identification information.
Abstract:
A method of a first communication node may comprise: configuring at least one intelligent functionality among a plurality of intelligent functionalities based on functionality configuration information received from a second communication node; obtaining a training dataset corresponding to the at least one intelligent functionality based on an associated identifier (ID) received from the second communication node; training an intelligent model to perform the at least one intelligent functionality using the training dataset; and performing intelligent operations according to the at least one intelligent functionality using the trained intelligent model.
Abstract:
Proposed is a wireless communication system and, in more detail, an apparatus and method for intelligent model and functionality management considering inference time in a wireless communication system. A method of operating user equipment (UE) for identifying and managing an intelligent functionalities or models in a wireless communication system, includes a process of receiving UE capability enquiry from a base station (BS), and a process of transmitting UE capability information to the base station, wherein the UE capability information includes inference time information, the base station identifies intelligent functionality and model that the user equipment can support, on the basis of the UE capability enquiry and the UE capability information, and performance of an intelligent model that the user equipment can perform is identified on the basis of the inference time information.
Abstract:
Proposed are an apparatus and a method for an intelligence beam management operation in a wireless communication system. An operation method of a user equipment (UE) in a wireless communication system includes receiving, from a base station (BS), configuration of a measurement set including beam entirety information of the base station used in beam measurement, receiving information on beam measurement from the base station, predicting the measurement set on the basis of the information on beam measurement, transmitting information on a recommended measurement set or a restricted measurement set to the base station, the information on the recommended measurement set and the restricted measurement set being in a bitmap form, and receiving a beam measurement result based on a modified measurement set from the base station.
Abstract:
Disclosed are CSI transmission method and apparatus. A method of a terminal may comprise: receiving, from a base station, information on a measurement period for at least one channel state information-reference signal (CSI-RS) and a reporting period for transmitting at least one CSI; receiving the at least one CSI-RS during the measurement period; generating at least one measured CSI based on the at least one CSI-RS; generating at least one predicted CSI through a CSI prediction model based on the at least one CSI-RS and the at least one CSI; and transmitting the at least one measured CSI and the at least one predicted CSI to the base station.
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 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.