The present disclosure relates to a method for operating a terminal and a base station in a wireless communication system and an apparatus for supporting the same. In an embodiment of the present disclosure, a method for operating a terminal in a wireless communication system may include: transmitting a first message including information related to learning; receiving a second message including configuration information for learning; transmitting an uplink reference signal; and transmitting channel information related to a downlink channel measured based on a downlink reference signal.

A communication speed prediction apparatus (1) includes: a position prediction unit (111) for predicting a future positional relationship between first and second communication apparatuses (B, D); a speed prediction unit (112) for predicting the future communication speed between the first and second communication apparatuses by using a predicted result by the position prediction unit and a prediction model (PD) for predicting the future communication speed between the first and second communication apparatuses; an extraction unit (113) for extracting a training information from an information source (121) including information relating to a past positional relationship between the first and second communication apparatuses and information relating to a past communication speed between the first and second communication apparatuses; a training unit for training a parameter of the prediction model by using the training information; and a model update unit (115) for updating, by using the trained parameter, the prediction model used by the speed prediction unit, the model update unit changes, based on at least one of a state of the communication speed prediction apparatus and a state of the first and second communication apparatuses, an update frequency by which the prediction model is updated.

A communication speed prediction apparatus (1) includes: a position prediction unit (111) for predicting a future positional relationship between first and second communication apparatuses (B, D); a speed prediction unit (112) for predicting the future communication speed between the first and second communication apparatuses by using a predicted result by the position prediction unit and a prediction model (PD) for predicting the future communication speed between the first and second communication apparatuses; an extraction unit (113) for extracting a training information from an information source (121) including information relating to a past positional relationship between the first and second communication apparatuses and information relating to a past communication speed between the first and second communication apparatuses; a training unit for training a parameter of the prediction model by using the training information; and a model update unit (115) for updating, by using the trained parameter, the prediction model used by the speed prediction unit, the model update unit changes, based on at least one of a state of the communication speed prediction apparatus and a state of the first and second communication apparatuses, an update frequency by which the prediction model is updated.

A processor-implemented method is presented. The method includes receiving an input sequence comprising a group of channel dynamics observations for a wireless communication channel. Each channel dynamics observation may correspond to a timing of a group of timings. The method also includes determining, via a recurrent neural network (RNN), a residual at each of the group of timings based on the group of channel dynamics observations. The method further includes updating Kalman filter (KF) parameters based on the residual and estimating, via the KF, a channel state based on the updated KF parameters.

A processor-implemented method is presented. The method includes receiving an input sequence comprising a group of channel dynamics observations for a wireless communication channel. Each channel dynamics observation may correspond to a timing of a group of timings. The method also includes determining, via a recurrent neural network (RNN), a residual at each of the group of timings based on the group of channel dynamics observations. The method further includes updating Kalman filter (KF) parameters based on the residual and estimating, via the KF, a channel state based on the updated KF parameters.

This disclosure proposes a system to manage radio frequency (RF) interferences towards earth stations to solve needs of network providers. For example, user a user equipment that is close to an earth station can cause signal interference with the earth station as the user equipment is communicating with a base station. However, if the base station shares earth station location information with the user equipment, the user equipment can adjust its frequency and/or reduce its signal power to mitigate interference with the earth station. Alternatively, or in addition to, the base station can adjust its signal strength, and/or terminate a signal or resource that it is sending to the user equipment to prevent signal interference with the earth station.

Certain aspects of the present disclosure provide techniques for wireless communication by a base station (BS). In some examples, the techniques include receiving, from a user equipment (UE), one or more indications of one or more actual beam strengths as measured at the UE at one or more time periods for one or more transmit beams of the BS. In some examples, the techniques include receiving, from the UE, assistance information regarding the one or more actual beam strengths.

Techniques for performing channel estimation in an orthogonal time, frequency and space (OTFS) communication system include receiving a wireless signal comprising a data signal portion and a pilot signal portion in which the pilot signal portion includes multiple pilot signals multiplexed together in the OTFS domain, performing two-dimensional channel estimation in a time-frequency domain based on a minimum mean square error (MMSE) optimization criterion, and recovering information bits using a channel estimate obtained from the two-dimensional channel estimation.

Techniques for performing channel estimation in an orthogonal time, frequency and space (OTFS) communication system include receiving a wireless signal comprising a data signal portion and a pilot signal portion in which the pilot signal portion includes multiple pilot signals multiplexed together in the OTFS domain, performing two-dimensional channel estimation in a time-frequency domain based on a minimum mean square error (MMSE) optimization criterion, and recovering information bits using a channel estimate obtained from the two-dimensional channel estimation.

A method for transmitting a physical uplink shred channel (PUSCH) by a terminal in a wireless communication system according to an embodiment of the present specification comprises the steps of: receiving downlink control information (DCI) scheduling a physical uplink shared channel (PUSCH); and transmitting the physical uplink shared channel (PUSCH) on the basis of the DCI. The format of the DCI is DCI format 0_0. On the basis that spatial relation RS information for transmission of the physical uplink shared channel (PUSCH) is not configured, the physical uplink shared channel (PUSCH) is transmitted on the basis of spatial relation quasi-colocation (QCL) RS information of a predefined control resource set (CORESET).