Abstract: This disclosure provides a communication method and apparatus, to improve positioning performance. The method includes: obtaining M pieces of first channel estimation information, where an mth piece of first channel estimation information in the M pieces of first channel estimation information is estimation information of a channel between an mth cell node in M cell nodes and a terminal device, M is a positive integer greater than 1, and m is a positive integer from 1 to M; and determining M pieces of second channel estimation information based on at least one of the M pieces of first channel estimation information, where an mth piece of second channel estimation information in the M pieces of second channel estimation information corresponds to the channel between the mth cell node and the terminal device.

Abstract: This disclosure provides a communication method, which includes: obtaining M pieces of channel estimation information, where an mth piece of channel estimation information in the M pieces of channel estimation information is estimation information of a channel between an mth cell node in M cell nodes and a terminal device; determining a type of a target positioning manner based on the M pieces of channel estimation information; and obtaining N pieces of channel estimation information based on the type of the target positioning manner, where the N pieces of channel estimation information are used to position the terminal device, an nth piece of channel estimation information in the N pieces of channel estimation information is estimation information of a channel between an nth cell node in N cell nodes and the terminal device, the N cell nodes are included in the M cell nodes.

Abstract: This disclosure provides a communication method and apparatus. An apparatus obtains an ith piece of first information that indicates an ith local model of each of K subnodes and i is a positive integer, and determines an ith federated learning model of a kth subnode based on the ith piece of first information and a type of the ith federated learning model of the kth subnode, where k is any positive integer from 1 to K. When i is greater than 1, the type of the ith federated learning model of the kth subnode is determined based on a type or performance of an (i?1)th federated learning model of the kth subnode. The apparatus sends an ith piece of second information, where the ith piece of second information indicates an ith federated learning model of each of the K subnodes.

Abstract: This disclosure provides a communication method and apparatus, to reduce transmission overheads of training data and improve performance of an artificial intelligence model. The method includes: obtaining first data and first information from a first node, where the first information indicates a data augmentation manner of the first data; and determining a first training dataset of a model based on the first data and the first information.

Abstract: A communication method and a communication apparatus. The method includes: the communication apparatus receives first information, where the first information indicates a training policy of a first intelligent model. The communication apparatus performs model training on the first intelligent model according to the training policy. In this way, an intelligent model that meets a communication performance requirement can be obtained while air interface resource overheads are reduced.

Abstract: This application provides a communication method and apparatus. The method includes: determining a first downlink signal and a second downlink signal, where the first downlink signal is a downlink signal determined based on an output of a first prediction model, an input of the first prediction model is determined based on Y pieces of downlink measurement information in X pieces of downlink measurement information, and the second downlink signal is determined based on the X pieces of downlink measurement information; and indicating the second downlink signal and the Y pieces of downlink measurement information to an access network device if the first downlink signal and the second downlink signal meet a first condition. According to the method, the first prediction model can be updated based on the foregoing information, and performance of the prediction model can be continuously improved.

Abstract: This application provides a calibration method and apparatus. The method includes: determining first channel state information and second channel state information, where the first channel state information is obtained through prediction via a first channel prediction model, and the second channel state information is determined based on channel estimation on a downlink signal from an access network device; and sending first information to the access network device if a difference metric value between the first channel state information and the second channel state information is greater than or equal to a first threshold, where the first information indicates the second channel state information.

Abstract: A communication method and an apparatus. A terminal device (or an access network device) obtains a channel feature through inference by using a channel feature extraction model, where the channel feature corresponds to a channel between the terminal device and the access network device. The terminal device (or the access network device) sends the channel feature to a location management function LMF. The LMF obtains, based on the channel feature, positioning information of the terminal device through inference by using a positioning information obtaining model. The LMF may determine location information of the terminal device based on the positioning information. An artificial intelligence model may be used to implement positioning or assist in implementing positioning of the terminal device.

Abstract: Provided is a method for information prompt, including: receiving an audio/video call invitation, and displaying, in the case that the account does not accept the audio/video call invitation, a first state prompt at the position of a session to which a target audio/video call belongs on a session list page of an account logged on a terminal. The first state prompt indicates that there is an unjoined audio/video call which is in progress.