Abstract:
The present disclosure relates to the field of mobile communications technologies, and discloses a method for configuring a resource to a DRB, and an apparatus. The method is specifically: first determining, by a first CBS, resource configuration information used by a first DBS to separately allocate a resource to at least one DRB of UE; and then, sending, to the first DBS, a first resource allocation indication that carries the determined resource configuration information, so that the first DBS separately allocates the resource to the at least one DRB of the UE according to the resource configuration information. In this way, effectively implementing resource configuration for a protocol entity in a DBS according to a QoS requirement of a DRB.
Abstract:
A terminal device obtains M pieces of first downlink channel sub-data, where each piece of first downlink channel sub-data corresponds to one data space in M data spaces. For an ith piece of first downlink channel sub-data in the M pieces of first downlink channel sub-data, the terminal device determines, based on a first dictionary corresponding to an ith data space, first information corresponding to the ith piece of first downlink channel sub-data, where M pieces of first information are determined in total. The terminal device sends first indication information, to indicate the M pieces of first information. Different data spaces can represent different channel environment information. The terminal device feeds back first information corresponding to different data spaces, so that an access network device can determine a correspondence between first information and environment information. Accuracy of the first information fed back by the terminal device is improved.
Abstract:
The present disclosure provides a communication method. The method includes: determining first channel information, where the first channel information includes information in M1 dimensions, information in an ith dimension in the M1 dimensions includes Ni pieces of information, M1 is a positive integer greater than 1, i is a positive integer ranging from 1 to M1, and Ni is a positive integer greater than 1; determining channel state indication information based on second channel information, where the second channel information indicates partial information of Nm pieces of information in an mth dimension in the M1 dimensions, and m is a positive integer from 1 to M1; and sending first indication information and the channel state indication information, where the first indication information indicates a location of the second channel information in the first channel information.
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:
A data processing method for a model and an apparatus are provided. The method includes: A first node determines the data processing method for the model; and the first node implements, according to the data processing method for the model, at least one of the following: performing model training or performing model inference. Based on the method and the apparatus, inference tasks for different radio resource configurations can be completed by using one model, so that overheads for model training and storage are reduced.
Abstract:
This disclosure relates to a communication method and apparatus. A terminal device obtains M channel estimation results corresponding to M time units, where M is greater than 1. The terminal device performs joint compression on the M channel estimation results by using an encoder network, to obtain N pieces of compression information. The terminal device sends the N pieces of compression information to an access network device. Because the terminal device performs joint compression, correlation between downlink channels at different time points is fully utilized. The access network device recovers the N pieces of compression information obtained through joint compression, so that more accurate and effective downlink channel information can be obtained.
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:
A communication method and apparatus. A terminal receives first information from a network device. The terminal determines N pieces of training data based on the first information, and N is an integer. The terminal performs model training based on the N pieces of training data, to obtain a first AI model. The network device configures the first information used to determine the N pieces of training data for the terminal. The terminal performs model training based on the N pieces of training data autonomously. Separately configuring an AI model for the terminal is not necessary and air interface overheads are reduced.
Abstract:
An access network device receives M pieces of first information of M local models from M terminal devices, where the M terminal devices one-to-one correspond to the M local models, the M local models one-to-one correspond to the M pieces of first information, and the M pieces of first information of the M local models are information received in first duration. The access network device updates a global model based on the M pieces of first information of the M local models and sends first information of the global model to K terminal devices. In the method, the first duration is set, to ensure that an update progress of local information matches an update progress of the global model and improve accuracy and performance of the global model obtained by the access network device.