Abstract: This application provides a cell handover method used in the communication field. In technical solutions provided in this application, after obtaining, from at least one sensing device, at least one sensing result and a sensing type of each sensing result in the at least one sensing result, a decision device determines a cell handover policy of a terminal device based on a cell handover decision function associated with at least one sensing type that is in one-to-one correspondence with the at least one sensing result.

Abstract: A communication method and a communication apparatus are disclosed. The method includes determining at least two pieces of channel information, for example, latest channel information and at least one piece of historical channel information, and then determining input of a first AI model or determining a new second AI model based on a time interval between channel obtaining time corresponding to channel information and at least one capability requirement of the first AI model. In this way, input of an AI model can match a capability requirement of the AI model, so that the input of the AI model is more appropriate, and a performance loss caused by using inappropriate channel information as the input of the AI model is avoided.

Abstract: This application discloses a power control method and apparatus. This application may be applied to a wireless communication system. The method includes: generating first information, where the first information includes precoding information, the precoding information is used to determine an uplink precoding matrix and power control information to be used by a terminal device, and the power control information is used to determine an uplink transmit power of the terminal device; and sending the first information. In this way, signaling overheads can be reduced. Because the power control information is not carried by using a TPC command, precision of the power control information is not limited by the signaling overheads. Therefore, the precision of the power control information determined by using the precoding information may be higher than precision obtained by adjusting the uplink transmit power by using the TPC command.

Abstract: This application provides a method for managing artificial intelligence and a communication apparatus. The method includes: The terminal device sends a first identifier and a second identifier to a first network device, where the first identifier is an identifier configured by a second network device for a first model successfully identified between the second network device and the terminal device, the second identifier identifies a first area. The first network device obtains model information of the first model based on the first identifier and the second identifier, determines whether the first model is available, and sends response indicating whether the first model is available. In this way, the terminal device and the first network device may not perform a complete identification procedure of the successfully identified model again. This can effectively reduce identification overheads between the terminal device and the network device.

Abstract: This application discloses a model monitoring method, apparatus, and system, a storage medium, and a program product. The method includes: A terminal device obtains first information, where the first information includes one or more first indices of one or more pieces of ground truth information; and obtains the one or more pieces of ground truth information corresponding to the one or more first indices, where the one or more pieces of ground truth information are used for obtaining a monitoring result of performance of an AI model, and an output of the AI model is predicted information. In this solution, the terminal device may obtain, by obtaining the one or more first indices of the one or more pieces of ground truth information, ground truth information corresponding to a specific time unit, so that performance of a prediction model can be flexibly monitored.

Abstract: A communication method includes sending first channel state information (CSI) feedback information to a network device. The communication method also includes receiving first indication information from the network device. The communication method further includes sending one or more pieces of CSI feedback information to the network device based on the first indication information. The one or more pieces of CSI feedback information include the first CSI feedback information.

Abstract: A first communication apparatus determines L pieces of compressed information, where the compressed information is compressed information of a downlink channel; and sends the L pieces of compressed information and first indication information to a second communication apparatus, where the first indication information includes first information which indicates one combination in at least one combination that is determined based on a quantity L of the pieces of compressed information and/or a sum B of lengths of the L pieces of compressed information, to limit a possible value of the at least one combination.

Abstract: A communication method, includes generating first channel information. The first channel information includes K segments, K is an integer greater than 1, a length of each of the K segments is less than or equal to a first threshold, a type of the first channel information is ground truth channel information, and the first channel information includes a channel response, a channel eigenvector matrix, a precoding matrix, reference signal received power, or a signal to interference plus noise ratio. The communication method also includes transmitting K pieces of UCI to a network device. The K pieces of UCI include the K segments.

Abstract: A method may be applied to an AI positioning scenario, a location management function network element determines, based on different positioning accuracy requirements, information related to a payload size of a channel measurement report, and indicates, to the channel measurement network element, the information related to the payload size; or the channel measurement network element obtains information about a positioning accuracy requirement from the location management function network element, and determines, based on the positioning accuracy requirement and a feature of the channel measurement result, information related to a payload size of a channel measurement report.

Abstract: This disclosure provides a communication method and apparatus. The method includes: receiving a training data set and first information, where the first information includes identification information corresponding to one or more pieces of training data in the training data set, the identification information indicates that the corresponding training data belongs to first-type training data or second-type training data, and the second-type training data is obtained by processing the first-type training data based on an augmentation algorithm. In the method, different communication scenarios can be flexibly matched, and a model is processed based on the first-type training data and/or the second-type training data, thereby improving performance of the model.

Abstract: The present disclosure relates to communication methods and communication apparatuses. One example method includes obtaining p groups to be transmitted on a first resource, where the p groups belong to N downlink channel state information CSI) reports, p is an integer greater than 1, and N is an integer greater than 1, and sending a part or all of the p groups on the first resource based on priorities of the p groups, where the priorities of the p groups are based on priorities of the N CSI reports, the priority of the CSI report is based on a type of the CSI report, and a type of at least one of the N CSI reports is an artificial intelligence (AI)-related type.

Abstract: Embodiments of this application provide a model usage method and a related device, and relate to the communication field. In the method, a first communication device may determine a first association relationship based on a status of the first communication device, to customize a scenario classification granularity. Then, the first communication device may obtain first information from a second communication device to train at least one first AI model in M first AI models, or the first communication device may determine one first AI model for inference from M first AI models based on the first association relationship. The first association relationship is an association relationship between X pieces of scenario information, Y pieces of configuration information, and the M first AI models of the first communication device, X, Y, and M are positive integers, and M is less than or equal to X*Y.

Abstract: A communication method is applied, including: a second device sends indication information to a first device, where the indication information indicates a manner of determining a transmission parameter of a first transmission, or the indication information indicates that a manner of determining a transmission parameter of a first transmission is the same as a manner of determining a transmission parameter of a second transmission, and the manner of determining includes an artificial intelligence AI-based determining manner or a non-AI-based determining manner; and the second device determines, based on the indication information and at least one transmission from the second device, performance corresponding to the manner of determining of the transmission parameter of the first transmission, where the at least one transmission includes the first transmission and/or the second transmission.

Abstract: A communication method and apparatus to reduce redundant overheads in a measurement process and improve communication efficiency. In the method, after a terminal obtains a measurement result of a reference signal (RS) through measurement by using a first RS resource set, the terminal may perform prediction on the measurement result of the RS by using a neural network model to determine a candidate RS resource set that belongs to a second RS resource set. In this case, the terminal may further select a target RS resource set from the candidate RS resource set as a finally reported RS resource, to reduce redundant overheads in a measurement process and improve communication efficiency.

Abstract: Examples of channel state information (CSI) sending methods, CSI receiving methods, and an apparatus are provided. In one example method, a first communication apparatus receives first information from a second communication apparatus, where the first information includes indication information that indicates the first communication apparatus to send CSI at a target layer. The first communication apparatus sends a first CSI report to the second communication apparatus, where the first CSI report includes the CSI at the target layer.

Abstract: Embodiments of this application provide a method for configuring a reference signal, to increase a rate of data transmission between an access network device and a terminal device. The method includes: An access network device determines a first reference signal pool, where the first reference signal pool includes one or more reference signals. The access network device sends first information to a first terminal device, where the first information indicates a first reference signal allocated to the first terminal device, the first reference signal is included in the first reference signal pool, and the first reference signal pool is obtained by the access network device by training a first neural network, or the first reference signal pool is obtained by another network-side node by training a first neural network and sent to the access network device.

Abstract: This application provides a communication method and apparatus, to improve reliability of AI-based CSI prediction. The method includes: A terminal apparatus receives first information, where the first information indicates a use of a first channel state information CSI resource, and the use of the CSI resource includes at least one of the following: CSI information collection, artificial intelligence AI model performance monitoring, and AI model inference; and the terminal apparatus sends first CSI information based on the first information; and/or the terminal apparatus monitors performance of an AI model based on the first information, where the first CSI information corresponds to the first CSI resource.

Abstract: A method is provided, including: receiving a first reference signal from a first device; determining whether p pieces of predicted channel information are valid; and sending first indication information to the first device, where the first indication information indicates at least one piece of channel information, and when it is determined that the p pieces of predicted channel information are valid, the at least one piece of channel information includes the p pieces of predicted channel information; or when it is determined that the p pieces of predicted channel information are invalid, the at least one piece of channel information includes channel information measured based on the first reference signal and the p pieces of predicted channel information, or the at least one piece of channel information includes the channel information measured based on the first reference signal. Accordingly, channel information can accurately reflect a channel status.

Abstract: A positioning method and an apparatus are provided. The method includes: A first communication apparatus separately measures a first reference signal and a second reference signal from a second communication apparatus, and determines a first measurement result of the first reference signal and a second measurement result of the second reference signal. The first communication apparatus determines whether a first metric corresponding to the first measurement result meets a first condition. The first communication apparatus sends all or a part of the second measurement result to a location management apparatus based on a determining result, where all or the part of the second measurement result is used to determine location information of the first communication apparatus or the second communication apparatus based on an AI manner. In this application, reported measurement results may be adaptively adjusted based on different measurement results.

Abstract: An uplink data transmission method and an apparatus include or relate to a terminal device which determines, based on indication information of a network device, a time-frequency resource corresponding to a random access resource, or a part of a time frequency resource in the random access resource, to directly transmit uplink data. Configuration information of a time-frequency resource for random access may be reused for configuration information of the time-frequency resource, so that signaling overheads are reduced and a resource utilization is improved.