Abstract: Provides is a method for monitoring a control channel. The method includes: determining, by a terminal device, a monitoring occasion of a first search space set based on first indication information, wherein the first indication information indicates a configuration of the first search space set, and the first search space set is a search space set corresponding to a first synchronization signal block (SSB), wherein the configuration of the first search space set comprises two monitoring occasions in a first monitoring window associated with the first search space set; and monitoring, by the terminal device, a first control channel corresponding to the first SSB based on the monitoring occasion of the first search space set.

Abstract: A channel estimation method includes: obtaining first information, where the first information is information corresponding to a first reference signal pattern; performing conversion on the first information to obtain second information, where the second information is information corresponding to a second reference signal pattern, and the second information includes the first information; and outputting first estimation information using to a channel estimation model, with the second information as an input.

Abstract: Implementations of the present disclosure relate to a wireless communication method and a terminal device. The method includes: detecting, by a terminal device, a first type of Synchronous Signal Block (SSB) at a frequency on an asynchronous raster; determining, by the terminal device, a frequency domain position of a Control Resource Set (CORESET) of Remaining Minimum System Information (RMSI) associated with the first type of SSB based on the first type of SSB.

Abstract: The implementations of the present disclosure relate to a wireless communication method and a terminal device, capable of effectively determining the QCL relationship of SSB. The wireless communication method includes: a terminal device receives first indication information and second indication information from a network device, the first indication information being used for indicating a first number Q1 and the second indication information being used for indicating a second number Q2; the terminal device determines target indication information from amongst the first indication information and the second indication information and, on the basis of the target indication information, determines the quasi co-location QCL relationship between the synchronization signal blocks SSB of a serving cell of the terminal device.

Abstract: Provided is an information interaction method for beam management. The method is applicable to a terminal, and the method includes: providing beam information of a first beam set to a first base station, wherein the beam information of the first beam set is configured for the first base station to determine beam information of an output beam set based on a beam management model.

Abstract: Provided is a method for ensuring effectiveness of an artificial intelligence (AI) model in wireless communications and a terminal. The method is applicable to a terminal. The method includes the following: performing an effectiveness management process of a first AI model in response to a model failure condition being met.

Abstract: Embodiments of the disclosure relate to a terminal device, a network device, and a method for information processing. The terminal device includes a processor, a memory, and a transceiver. The memory is configured to store computer programs. The processor is configured to invoke and execute the computer programs stored in the memory, to input first information into a channel state discriminative model, to obtain corresponding channel state discriminative information. The transceiver is configured to send the channel state discriminative information.

Abstract: A method for updating a model for processing a wireless channel, carried out by a second wireless communication device, includes: the second wireless communication device determines a wireless channel dataset corresponding to a type of the wireless channel. The type of the wireless channel is identified by a first wireless communication device, and the wireless channel dataset is configured to update a machine learning model.

Abstract: A data processing method, a data processing device, and a computer-readable storage medium are disclosed. The data processing method includes generating first channel data by using a channel generator, wherein the channel generator is included in a generative adversarial network (GAN), and the GAN further includes a channel discriminator configured to discriminate the first channel data according to real channel data.

Abstract: Provided in the implementations of the present disclosure are a wireless communication method, a terminal device and a network device, capable of achieving OAM based wireless communications. The wireless communication method includes: the terminal device determining to use a first transmission mode to transmit data, wherein the first transmission mode is a MIMO or OAM based transmission mode.

Abstract: Partial bandwidth radio transmission method and device, base station and user equipment are provided. The method includes: configuring a first common control channel transmitted on an anchor sub-band; configuring at least one sub-band other than anchor sub-bands, and a second common control channel transmitted on the at least one sub-band; scheduling at least one partial bandwidth UE to the at least one sub-band, and transmitting configuration of the second common control channel and the at least one sub-band to the at least one partial bandwidth UE; and obtaining a transmission time of a synchronization signal block in the anchor sub-band, and transmitting the second common control channel to the at least one sub-band based on the transmission time, wherein the second common control channel includes a reference signal for demodulation. UE can receive and transmit data using partial bandwidth among a relatively large system bandwidth, which improves system efficiency.

Abstract: A signal processing method, a communication device, and a communication system are provided in embodiments of the present disclosure. The method is performed by a communication device and includes acquiring a to-be-processed signal; taking the to-be-processed signal as an input and a label of a signal processing model, performing an online training fine-tuning process for the signal processing model, and obtaining an optimized signal processing model; and inputting the to-be-processed signal into the optimized signal processing model, and obtaining a target signal output by the optimized signal processing model.

Abstract: Zero-power-consumption communication methods and a device for cellular communication and sidelink communication are provided in the application. The zero-power-consumption communication method for cellular communication at least includes: a zero-power-consumption device. A zero-power-consumption communication method based on cellular communication by the zero-power consumption device includes receiving a power supply signer, wherein the power supply signal is used for supplying power to the zero-power-consumption device; receiving a trigger signal sent from a network device; and the zero-power-consumption device sending a signal through a back scattering way according to the trigger signal and the power supply signal.

Abstract: A data enhancement method and a receiver. the method is performed by a receiver and includes performing a data augmentation process for a result obtained by a first basic model of the receiver to obtain a first data augmented training set; performing an online training fine tuning process for the first basic model based on the first data augmented training set to obtain a second basic model; and stopping a loop in response to a loop stopping condition being satisfied.

Abstract: The embodiments of the present disclosure provide a channel restoration method and a receiving device, capable of performing channel restoration based on a neural network, thereby improving channel restoration performance and in turn improving data restoration and channel feedback performance. The channel restoration method includes: receiving, by a receiving device, a pilot signal and a data signal transmitted by a transmitting device; extracting, by the receiving device, channel correlation features from target information using a first neural network to obtain a target feature map, the target information including the data signal and the pilot signal, or the target information including the data signal and a pilot position channel determined based on the pilot signal; and performing, by the receiving device, channel restoration processing on the target feature map and the pilot position channel using a second neural network to obtain restored channel information.

Abstract: An artificial intelligence (AI)-based channel estimation method and apparatus are provided. The method includes the following. A first reference signal is obtained, where the first reference signal is used for channel estimation of a first channel. The first reference signal is processed with an AI-based estimation model, to obtain a channel-estimation result of the first channel.

Abstract: The present application relates to the field of mobile communications. Disclosed are an information transmission method. The method includes: transmitting first scheduling information to a second device, wherein the first scheduling information is configured to indicate the first device to transmit first resource information and a first transmission mode for transmitting first information and second resource information and a second transmission mode for transmitting second information to the second device; transmitting the first information to the second device based on the first scheduling information, and receiving the second information transmitted by the second device based on the first scheduling information and the first information; or receiving the second information transmitted by the second device based on the first scheduling information, and transmitting the first information to the second device based on the first scheduling information and the second information.

Abstract: A method for feedback mode determination and a device are provided. The method includes the following. A feedback mode for channel-state information (CSI) of a wireless channel is determined based on first information, the first information being used for indicating channel characteristics of the wireless channel.

Abstract: A node determination method for a distributed task and a communication device are provided. The node determination method is performed in a sub-node of a mobile communication system and includes: transmitting, by the sub-node, available resource information to a master node of the mobile communication system, the available resource information being configured to determine a target sub-node participating in the distributed task.

Abstract: The present application discloses an information sending method, an information receiving method, apparatus, ad device, and a storage medium, which relate to the technical field of mobile communications. The information sending method is applied to a first node in a mobile communication system, and the method comprises: sending supplementary feedback information to a second node in a mobile communication system, the supplementary feedback information being used to incrementally update complete channel information, or the supplementary feedback information being used to predict the complete channel information. Said method may reduce feedback overhead while ensuring a CSI feedback effect.