Communication method and device

Abstract

The invention provides a beam management method, and relates to the technical field of communication. In the method, a first communication device receives first indication information, second indication information and third indication information from a second communication device; the first indication information indicates the first communication device to receive nominal reference signal resource set information from a second communication device; the second indication information indicates the first communication equipment to receive first reference signal resource set information from second communication equipment; the third indication information indicates the first relation. The nominal reference signal resource set is used for representing a reference signal resource set corresponding to an output result of a first model of the first communication equipment; the first reference signal resource set is used for the first communication equipment to carry out AI operation on a first model, and the AI operation comprises training and / or reasoning and / or monitoring; the first relationship indicates a relationship between the nominal reference signal resource set and the first reference signal resource set; through the method, the beam management efficiency is improved.

Description

Technical Field

[0001] The present application relates to the field of communication technology, and in particular to a communication method and device. Background Art

[0002] Models (such as artificial intelligence (AI) or machine learning (ML) models) can be applied to improve communications. For example, a terminal device can use the model to select an appropriate beam to improve communication quality between the terminal device and network equipment. Network equipment can configure the model for the terminal device, meaning the model is deployed within the terminal device. The terminal device can then use the model to improve communication quality with the network device. However, there is currently no solution for monitoring the performance of the model. Summary of the Invention

[0003] The embodiments of the present application provide, in particular, a communication method for providing a beam management mechanism.

[0004] In a first aspect, an embodiment of the present application provides a beam management method. The method is applied to a first communication device, a chip system or other functional modules in the first communication device. Other functional modules may be, for example, software modules (such as programs), hardware modules, or hardware modules running programs, etc., and are not specifically limited to this. For ease of description, the following mainly introduces the application to the first communication device as an example. The method includes: a first communication device receives first indication information, second indication information, and third indication information from a second communication device; the first indication information indicates that the first communication device receives nominal reference signal resource set information from the second communication device; the second indication information indicates that the first communication device receives first reference signal resource set information from the second communication device; the third indication information indicates a first relationship. The nominal reference signal resource set is used to represent the reference signal resource set corresponding to the output result of the first model of the first communication device; the first reference signal resource set is used by the first communication device to perform AI operations on the first model, where the AI ​​operations include training and / or reasoning and / or monitoring.

[0005] The first relationship indicates a relationship between the nominal reference signal resource set and the first reference signal resource set.

[0006] The nominal reference resource indicated by the first indication information may be the entire set of beams to be scanned, or a reference signal, such as a CSI-RS signal, an SSB signal, etc.

[0007] The first relationship includes a correlation relationship and / or a mapping relationship. The correlation relationship refers to a correlation relationship between two resource sets. For example, in the configuration information corresponding to the first resource set, an additional field is introduced to indicate the configuration of the nominal reference resource, for example, the configuration of the nominal reference resource can be CSI-reportConfig ID, resourceSet ID, resourceConfig ID, etc. The mapping relationship refers to a subset relationship between a resource set (small set) and another resource set (large set), and each resource in the small set corresponds to a one-to-one mapping of the resource in the large set, for example, the first reference signal resource set is a subset of the nominal reference signal resource set, and each signal resource in the first reference signal resource set corresponds to the position of the signal resource in the nominal reference signal resource set.

[0008] In the embodiments of the present application, the nominal reference signal resource set is used to represent the reference signal resource set corresponding to the output result of the first model of the first communication device, so that the input information is wider during AI model training and / or inference and / or monitoring, which is beneficial to the comparison of measurement results and further improves the efficiency of beam management.

[0009] The first model herein can be an AI model, which is a function model that maps a certain dimension of input to a certain dimension of output, and the model parameters are obtained through machine learning training. The type of AI model can be a neural network, a linear regression model, a decision tree model, a support vector machine (SVM), a Bayesian network, a Q learning model, or other machine learning models; or it can be a first function, and the first function can be a set of AI configurations, such as reference signal configurations and / or CSI report configurations corresponding to model input / output.

[0010] In a second aspect, the embodiments of the present application provide a beam management method. The method is applied to a second communication device, a chip system or other functional modules in the second communication device. The other functional modules can be software modules (such as programs), hardware modules, or hardware modules running programs, etc., which are not specifically limited. For ease of description, the following mainly takes the application to the second communication device as an example for introduction. The method comprises: a first communication device receiving first indication information, second indication information, third indication information, fourth indication information, and fifth indication information from a second communication device; the first indication information indicates that the first communication device receives nominal reference signal resource set information from the second communication device; the second indication information indicates that the first communication device receives first reference signal resource set information from the second communication device; the third indication information indicates a first relationship; the fourth indication information indicates that the first communication device receives second reference signal resource set information from the second communication device; and the fifth indication information indicates a second relationship.

[0011] The nominal reference signal resource set is used to represent the reference signal resource set corresponding to the output result of the first model of the first communication device; the first reference signal resource set is used for the first communication device to perform AI operation on the first model, where the AI operation includes training and / or inference and / or monitoring. The second reference signal resource set is used for the first communication device to perform AI operation on the first model, and the AI operation includes training and / or inference and / or monitoring. The nominal reference signal resource set can be a full set of beams to be scanned, or a reference signal such as a CSI-RS signal, an SSB signal, etc.

[0012] The first relationship indicates the relationship between the nominal reference signal resource set and the first reference signal resource set.

[0013] The first relationship includes an association relationship and / or a mapping relationship. The association relationship refers to the relevant association relationship of the two resource sets. For example, in the configuration information corresponding to the first resource set, an additional field is introduced to indicate the configuration of the nominal reference resource, such as CSI-reportConfig ID, resourceSet ID, resourceConfig ID, etc. The mapping relationship refers to a subset of one resource set (small set) from another resource set (large set), and each resource in the small set corresponds to a one-to-one mapping of the resource in the large set, such as: the first reference signal resource set is a subset of the nominal reference signal resource set, and each signal resource in the first reference signal resource set corresponds to the position of the signal resource in the nominal reference signal resource set.

[0014] The second relationship includes an association relationship between the first reference signal resource set and the second reference signal resource set and / or a mapping relationship between the first reference signal resource set and the second reference signal resource set. The association relationship includes a second field in the configuration information of the second reference signal resource set, which is used for the configuration information of the first reference signal resource set, and the configuration information of the first reference signal resource set includes the configuration ID of the first reference signal resource set; the mapping relationship indicates that the second reference signal resource set is a subset of the first reference signal resource set, and includes the position of each signal resource in the second reference signal resource set corresponding to the signal resource in the first reference signal resource set.

[0015] In the embodiments of the present application, the first communication device obtains a first measurement result for the first reference signal resource set; the first communication device obtains a second measurement result for the second reference signal resource set; the first measurement result contains a label determined by the first communication device through training or monitoring of the first model; and the second measurement result contains an input used by the first communication device for inference of the first model.

[0016] In a possible implementation, the first communication device obtains third measurement results on the first set of reference signal resources, the third measurement results comprising inputs for the first model inference by the first communication device.

[0017] The first model herein can be an AI model, which refers to a function model mapping inputs of a certain dimension to outputs of a certain dimension, and the model parameters of the AI model are obtained through machine learning training. The type of the AI model can be a neural network, a linear regression model, a decision tree model, a support vector machine (SVM), a Bayesian network, a Q-learning model, or other machine learning models; or can be a first function, and the first function can be a set of configurations of AI, such as a reference signal configuration and / or a CSI report configuration corresponding to model inputs / outputs.

[0018] In a third aspect, an embodiment of the present application provides a communication apparatus. The communication apparatus can be the first communication device in the first aspect, or a module (for example, a chip system) configured in the first communication device, or an apparatus having the function of the first communication device. The communication apparatus includes means or modules for performing the first aspect or any possible implementation. For example, the communication apparatus includes a transceiver module (also referred to as a transceiver unit). Optionally, the communication apparatus further includes a processing module (also referred to as a processing unit).

[0019] For example, the transceiver module is configured to receive the first indication information, the second indication information, and the third indication information.

[0020] In an optional implementation, the communication apparatus is further configured to implement any possible implementation of the first aspect, which will not be listed one by one here.

[0021] In a fourth aspect, an embodiment of the present application provides a communication apparatus. The communication apparatus can be the second communication device in the second aspect, or a module (for example, a chip system) configured in the second communication device, or an apparatus having the function of the second communication device. The second communication apparatus includes means or modules for performing the second aspect or any possible implementation. For example, the communication apparatus includes a transceiver module (also referred to as a transceiver unit). Optionally, the communication apparatus further includes a processing module (also referred to as a processing unit).

[0022] For example, the transceiver module is configured to transmit the first indication information, the second indication information, the third indication information, the fourth indication information, and the fifth indication information.

[0023] In an optional implementation, the communication apparatus is further configured to implement any possible implementation of the second aspect, which will not be listed one by one here.

[0024] In a fifth aspect, an embodiment of the present application provides a communication apparatus. The communication apparatus comprises a processor and an interface circuit, the interface circuit is configured to receive a signal from another communication apparatus outside the communication apparatus and transmit the signal to the processor or send a signal from the processor to another communication apparatus outside the communication apparatus, and the processor is configured to implement any of the methods in the first aspect and any possible implementation or the second aspect and any possible implementation by means of logic circuit or code instruction.

[0025] In the implementation process, the communication apparatus can be a chip, and the processor can be a transistor, a gate circuit, a flip-flop, various logic circuits, etc. The specific implementation of the processor is not limited in the embodiments of the present application.

[0026] In an implementation, the communication apparatus can be a wireless communication device, i.e., a computer device supporting wireless communication function. Specifically, the wireless communication device can be a terminal device such as a smart phone, or a network device such as a wireless access network device (e.g., a base station).

[0027] In another implementation, the communication apparatus can be a part of an integrated circuit product in the wireless communication device, such as a system chip or a communication chip. The system chip can also be referred to as a system on chip (SoC), or simply SoC chip. The communication chip can include a baseband processing chip and a radio frequency processing chip. The baseband processing chip is also sometimes referred to as a modem or a baseband chip. The radio frequency processing chip is also sometimes referred to as a radio frequency transceiver or a radio frequency chip. In physical implementation, part or all of the chips in the communication chip can be integrated inside the SoC chip. For example, the baseband processing chip is integrated in the SoC chip, and the radio frequency processing chip is not integrated with the SoC chip. The interface circuit can be a radio frequency processing chip in the wireless communication device, and the processor can be a baseband processing chip in the wireless communication device. The interface circuit can be an input / output interface, an interface circuit, an output circuit, an input circuit, a pin or related circuit on the chip or chip system. The processor can also be embodied as a processing circuit or a logic circuit.

[0028] In yet another implementation, the communication apparatus can be a chip system, which can be composed of a chip or can contain a chip and other discrete devices. The chip system can include, for example, a field programmable gate array (FPGA), an application specific integrated circuit (ASIC), a system on chip (SoC), a CPU, a network processor (NP), a DSP, a micro controller unit (MCU), a programmable logic device (PLD), or other integrated chip, etc.

[0029] In a sixth aspect, an embodiment of the present application provides a communication apparatus. The communication apparatus includes a processor. When the communication apparatus is running, the processor performs the method in any of the first aspect and any possible implementation, or the second aspect and any possible implementation. Optionally, the communication apparatus further includes a memory, which stores one or more computer programs. The processor can execute the one or more computer programs to implement the method in any of the first aspect and any possible implementation, or the second aspect and any possible implementation.

[0030] Optionally, the communication apparatus further includes other components, such as an antenna, an input / output module, an interface (such as a communication interface), etc. These components can be hardware, software, or a combination of software and hardware.

[0031] In a seventh aspect, an embodiment of the present application provides a communication system. The communication system includes a first communication apparatus and a second communication apparatus. The first communication apparatus is configured to implement the functions of the method in any of the first aspect and any possible implementation, and the second communication apparatus is configured to implement the functions of the method in any of the second aspect and any possible implementation. In addition, the first communication apparatus is, for example, the communication apparatus in the third aspect or any possible implementation, and the second communication apparatus is, for example, the communication apparatus in the fourth aspect or any possible implementation.

[0032] In an eighth aspect, an embodiment of the present application provides a chip system. The chip system comprises a processor. Optionally, the chip system can further comprise an interface (e.g., a communication interface). The processor can be configured to implement the method in any of the first aspect and any possible implementation thereof or the second aspect and any possible implementation thereof. Optionally, the chip system further comprises a memory. The memory is configured to store a computer program (which can also be referred to as code or instructions). The processor is configured to invoke and run the computer program from the memory, so that a device in which the chip system is installed performs the method in any of the first aspect and any possible implementation thereof or the second aspect and any possible implementation thereof. The implementation of the chip system can refer to the content of the chip system involved in the foregoing, which will not be listed here.

[0033] In a ninth aspect, an embodiment of the present application provides a computer readable storage medium. The computer readable storage medium is configured to store a computer program or instructions, which, when executed, implement the method in any of the first aspect and any possible implementation thereof or the second aspect and any possible implementation thereof.

[0034] In a tenth aspect, an embodiment of the present application provides a computer program product. When the computer program product is executed on a computer, it implements the method in any of the first aspect and any possible implementation thereof or the second aspect and any possible implementation thereof.

[0035] In a possible implementation, the computer program product comprises a computer program, which, when executed on a computer, causes the computer to perform the method in any of the first aspect and any possible implementation thereof or the second aspect and any possible implementation thereof.

[0036] In another possible implementation, the computer program product comprises instructions, which, when executed on a computer, cause the computer to perform the method in any of the first aspect and any possible implementation thereof or the second aspect and any possible implementation thereof.

[0037] The beneficial effects of any of the technical solutions in the second aspect to the tenth aspect described above can refer to the beneficial effects of the corresponding technical solutions in the first aspect, and the repeated parts will not be listed here. BRIEF DESCRIPTION OF DRAWINGS

[0038] Figures 1 to 4 Architectural schematic diagram of four kinds of communication systems applicable to embodiments of the present application;

[0039] Figure 5 Schematic flowchart of a communication method 500 according to an embodiment of the present application;

[0040] Figure 6 Schematic flowchart of a communication method 600 according to another embodiment of the present application;

[0041] Figure 7 a schematic flow chart of a communication method 700 according to another embodiment of the present application;

[0042] Figures 8 to 10 a schematic structural diagram of three communication apparatuses according to embodiments of the present application. DETAILED DESCRIPTION

[0043] In order to make the purposes, technical solutions and advantages of the embodiments of the present application clearer, the embodiments of the present application will be further described in detail below with reference to the drawings.

[0044] In the following, some terms related to the embodiments of the present application are explained to facilitate the understanding of the skilled in the art.

[0045] 1. Artificial intelligence (AI)

[0046] Artificial intelligence is to make machines have human intelligence, and to apply software and hardware of computers to simulate some intelligent behaviors of human beings, including machine learning and many other methods.

[0047] 2. Machine learning (ML)

[0048] Machine learning is to make machines have human intelligence, and to apply software and hardware of computers to simulate some intelligent behaviors of human beings, including machine learning and many other methods. Machine learning can be divided into supervised learning, unsupervised learning and reinforcement learning.

[0049] Supervised learning is to learn the mapping relationship from samples to labels according to samples and labels, and to express the learned mapping relationship by a model. The process of training the model can be regarded as the process of learning such mapping relationship. For example, in signal detection, a noisy signal can be regarded as a sample, and a real constellation point corresponding to the signal can be regarded as a label, and machine learning expects to learn the mapping relationship between the sample and the label through training, that is, to make the model learn to detect the signal. In the process of training the model, the error between the predicted value of the model and the label is used to optimize the parameters of the model. After training the model, the model can be used to predict the label of each new sample. The mapping relationship learned by supervised learning includes linear mapping and nonlinear mapping. According to the type of label, the learned task can be divided into classification task and regression task.

[0050] Unsupervised learning is to find or learn the internal pattern of samples by algorithm according to sample values. In unsupervised learning, there is a kind of algorithm that takes the sample itself as a supervision signal, that is, the model learns the mapping relationship from sample to sample, so this learning can be called self-supervised learning. In the process of training the model, the error between the prediction value of the calculation model and the sample is used to optimize the model parameters. Self-supervised learning can be used for signal compression and decompression recovery applications. Models suitable for self-supervised learning include autoencoders and generative adversarial networks.

[0051] Reinforcement learning is different from supervised learning, which is a kind of algorithm that learns the strategy to solve the problem by interacting with the environment. Unlike supervised learning and unsupervised learning, the reinforcement learning problem does not have a clear "correct" label. The algorithm needs to interact with the environment to obtain the reward signal of the environmental feedback, and then adjust the decision action to obtain a larger reward signal value. For example, in downlink power control, the reinforcement learning model adjusts the downlink transmission power of each user according to the system total throughput rate feedback by the wireless network, and then expects to obtain a higher system throughput rate. The goal of reinforcement learning is also to learn the mapping relationship between the environment state and the optimal decision action. But because it cannot obtain the "correct" label in advance, it cannot optimize the network by calculating the error between the action and the "correct" label. Reinforcement learning training is achieved through iterative interaction with the environment.

[0052] 3、Model

[0053] Model is a form of implementation of machine learning, or the purpose of machine learning is to obtain a model that can implement the corresponding function. The model is a specific implementation of one or more functions, representing the mapping relationship between the input and output of the model. The model can include one or more parameters. A substructure (or, sub-module) of the model can include one or more parameters. For example, f(x) = ax 2 +b can be regarded as a model, a and b correspond to the parameters of the model, and the parameters of the model can be obtained by learning and training. The process of training the model can be regarded as the process of optimizing the parameters of the model. The process of using the model to implement the corresponding function can be regarded as the inference process of the model. The output of the model in the inference process of the model can be called the inference result.

[0054] In the field of ML and AI, a model can be understood as an algorithm or system that is able to make predictions or perform tasks after being trained and learned from input data. A model includes, for example, an ML model, an AI model, an algorithm, a feature, or a function, etc. An AI model can be at least one of a linear regression model, a logistic regression model, a decision tree model, a support vector machine (SVM), a neural network model, a clustering model, a Bayesian network, a Q-learning model, a generative adversarial network, or other machine learning models, etc., without limitation. A neural network model is a mathematical model that simulates the behavior characteristics of animal neural networks for distributed parallel information processing. The neural network model can be, for example, one or more of a feed forward neural network (FNN), a convolutional neural network (CNN), and a recurrent neural network (RNN), etc., without specific limitation.

[0055] A neural network is a typical model. For example, a deep neural network (DNN) is a specific implementation form of machine learning. According to the universal approximation theorem, a neural network can theoretically approximate any continuous function, so that the neural network has the ability to learn any mapping.

[0056] Taking the model of a neural network as an example, a model can include at least one layer, and a “layer” can include a “network layer”. Each “network layer” can include at least one node, which can also be referred to as a “neuron”. Please refer to Figure 1 , which is a schematic diagram of a structure of a model. Taking the model shown in Figure 1 as an example, an input layer, a hidden layer, and an output layer. Figure 1 The circles in the figure represent neurons, and the connections between the circles between network layers represent connections. Optionally, the model can also include a loss layer, which corresponds to, for example, a cross entropy loss function. Any layer involved herein can be regarded as a network layer. For example, at least one parameter, such as a weight or an operator, for example, a convolution operator, a full connection operator, etc., can be included between network layers.

[0057] The neurons of a certain network layer are connected to the neurons of the adjacent network layer through weights, and one connection can be regarded as an operation. Taking Figure 1The connection between the input layer and the hidden layer is an example of the parameter of the model, that is, each neuron of the input layer is connected to each neuron of the hidden layer.

[0058] The following describes the model in combination with Figure 2 The schematic diagram of the neuron is shown, and the neuron is exemplarily introduced. As shown in the figure, Figure 2 The neuron performs a weighted sum operation on the input value, and the weighted sum result is output through a nonlinear function. Assuming that the input of the neuron is x = [x0, …, x n ], the weight corresponding to the input is d = [d0, …, d n ], the bias of the weighted sum is b, and the output of the neuron is

[0059] In a possible implementation manner, the model is a model for predicting CSI, that is, the inference result of the model is a CSI prediction result. In this case, the input of the model is, for example, a reference signal, and specifically, for example, a CSI-RS or the like. Alternatively, the model is a model for predicting a beam, that is, the inference result of the model is a beam prediction result. In this case, the input of the model is, for example, a measurement result of a reference signal.

[0060] 4、beam

[0061] A beam can be understood as a spatial filter or spatial parameters. A beam used for transmitting a signal can be referred to as a transmit beam, a transmission beam (Tx beam), a spatial domain transmit filter, or spatial transmit parameters (spatial Tx parameters). A transmit beam can also refer to the distribution of signal strength in different directions in space after a signal is transmitted by an antenna. In this sense, a transmit beam can also be a spatial transmission angle (such as Azimuth (also referred to as horizontal angle), Zenith (also referred to as elevation angle)) or a spatial transmission angle range (such as azimuth center angle and offset, azimuth uncertainty, azimuth protection range, zenith center angle and offset, zenith uncertainty, zenith protection range), etc. Correspondingly, a beam used for receiving a signal can be referred to as a reception beam (Rx beam), a spatial domain receive filter, or spatial receive parameters (spatial Rx parameters). A reception beam can also refer to the distribution of signal strength in different directions in space after a wireless signal is received by an antenna. In this sense, a reception beam can also be a spatial reception angle (such as Azimuth, Zenith) or a spatial reception angle range (such as azimuth center angle and offset, azimuth uncertainty, azimuth protection range, zenith center angle and offset, zenith uncertainty, zenith protection range), etc.

[0062] A beam can be divided into a wide beam and a narrow beam. A wide beam refers to a beam with a relatively large radiation range of a transmitting or receiving antenna when transmitting or receiving a signal. A wide beam is usually used in application scenarios that require broadcasting signals to a larger area or a wider coverage range. It can provide a wider coverage area, but the signal strength is relatively weak. A narrow beam refers to a beam with a relatively small radiation range of a transmitting or receiving antenna. A narrow beam is usually used in application scenarios that require focusing signals to a specific target or area. It can provide higher signal strength and higher directivity, but the coverage range is relatively small.

[0063] 5、Reference signal (RS)

[0064] The reference signal can also be referred to as a pilot signal or a pilot. It is a known signal, for example, a known signal provided by a sending end to a receiving end for channel estimation, channel sounding, data demodulation, etc. The reference signal is, for example, a synchronization signal block (SSB) and a channel state information-reference signal (CSI-RS). The SSB is a cell broadcast signal, which includes a primary synchronization signal (PSS), a secondary synchronization signal (SSS), a physical broadcast channel (PBCH), and a demodulation reference signal (DMRS). There are various reference signals, and the names of the above-mentioned reference signals may change as the standard evolves, and more reference signals may appear. No specific limitation is made.

[0065] The CSI includes at least one of rank indication (RI) information, channel quality indicator (CQI) information, precoding matrix indicator (PMI), or layer 1 reference signal receiver power (L1-RSRP).

[0066] The reference signal includes a periodic reference signal, a semi-periodic reference signal, or an aperiodic reference signal. Alternatively, it can be described that the device (such as a terminal device) reports a measurement result of the reference signal, which includes a periodic reporting of the measurement result, a semi-periodic reporting of the measurement result, or an aperiodic reporting of the measurement result.

[0067] The periodic reference signal means that after the signaling (such as radio resource control (RRC)) signaling configures the measurement resource, the device (such as a terminal device) starts to periodically measure and report the measurement result of the reference signal. The semi-periodic reference signal means that after the signaling (such as RRC) configures the measurement resource, a separate signaling (such as downlink control information (DCI)) is needed to trigger the periodic measurement and reporting of the measurement result of the reference signal. The aperiodic reference signal means that each time the device measures and reports the CSI, the signaling of the network side needs to be triggered separately.

[0068] As the reference signal is CSI-RS, the CSI-RS includes periodic CSI-RS, semi-periodic CSI-RS and aperiodic CSI-RS. The measurement result of the CSI-RS is CSI, and the corresponding CSI reporting includes periodic (P-CSI) reporting, semi-persistent (or semi-static, or semi-persistent) CSI (SP-CSI) reporting and aperiodic (A-CSI) reporting.

[0069] 6、time unit

[0070] The time unit belongs to a time domain resource. The unit of the time unit can be a slot, a symbol, a subframe, a half frame, a frame, a mini subframe, a mini slot, or a transmission occasion (TO), and the like, without limitation.

[0071] The first time unit, the second time unit and the third time unit involved in the embodiments of the present application are used to execute the time domain resources corresponding to the corresponding processes, and the units of the first time unit, the second time unit and the third time unit can be the same or different, without limitation. For example, the units of the first time unit, the second time unit and the third time unit are all symbols.

[0072] In various embodiments of the present application, the number of nouns, unless otherwise specified, represents "a singular noun or a plural noun", that is, "one or more". "At least one" means one or more, and "multiple" means two or more. "And / or" describes the association relationship of the associated objects, which means that there can be three kinds of relationships, for example, A and / or B, which can represent: A exists alone, A and B exist together, and B exists alone, where A and B can be singular or plural. The character " / " generally represents that the associated objects before and after are in an "or" relationship. For example, A / B means A or B. "At least one of the following" or the like means any combination of these items, including any combination of single item or multiple items. For example, at least one of a, b, or c means: a, b, c, a and b, a and c, b and c, or a and b and c, where a, b, and c can be single or multiple.

[0073] In embodiments of the present application, "indication" can include direct indication, indirect indication, display indication, and implicit indication. When describing that certain indication information is used to indicate A, it can be understood that the indication information carries A, directly indicates A, or indirectly indicates A. In the present application, the information indicated by the indication information is referred to as to-be-indicated information. In the specific implementation process, there are many ways to indicate the to-be-indicated information, for example, but not limited to, the to-be-indicated information can be directly indicated, such as the to-be-indicated information itself or the index of the to-be-indicated information. The to-be-indicated information can also be indirectly indicated by indicating other information, where the other information and the to-be-indicated information have an association relationship. The to-be-indicated information can also be indicated only by a part of the to-be-indicated information, and the other part of the to-be-indicated information is known or agreed in advance. For example, the indication of a specific information can also be achieved by means of the arrangement order of each information agreed in advance (for example, a protocol), thereby reducing the indication overhead to a certain extent. In addition, the to-be-indicated information can be sent as a whole, or can be sent separately as multiple sub-information, and the sending period and / or sending time of the sub-information can be the same or different.

[0074] In embodiments of the present application, "sending" and "receiving" represent the direction of signal transmission. For example, "sending information to XX" can be understood as that the destination of the information is XX, which can include direct sending through the air interface, or indirect sending through the air interface by other units or modules. "Receiving information from YY" can be understood as that the source of the information is YY, which can include direct receiving from YY through the air interface, or indirect receiving from YY through the air interface from other units or modules. "Sending" can also be understood as "output" of a chip interface, and "receiving" can also be understood as "input" of a chip interface. In other words, sending and receiving can be performed between devices, for example, between network devices and terminal devices, or can be performed within a device, for example, between components, between modules, between chips, between software modules or hardware modules in a device through a bus, a wire or an interface.

[0075] The scheme provided by the embodiments of the present application can be applied to various communication systems including a first communication device and a second communication device. The first communication device and the second communication device both have communication functions. The communication device can also be replaced by an entity, a network entity, a device, a communication device, a communication module, a node or a communication node, etc., which is not limited.

[0076] For example, the first communication device is a terminal device, or a chip system (such as a chip) or other functional modules or components in the terminal device. The second communication device is a network device, or a chip system (such as a chip) or other functional modules or components in the network device.

[0077] The terminal device can be a device with wireless transceiver function, which can be a fixed device, a mobile device, a handheld device, a wearable device, a vehicle-mounted device, or a wireless device (for example, a communication module or a chip system, etc.) built in the above devices. The terminal device is used to connect people, things, machines, etc., and can be widely used in various scenarios, for example, including but not limited to the following scenarios: cellular communication, device-to-device (D2D) communication, vehicle to everything (V2X) communication, machine-to-machine / machine-type communications (M2M / MTC), internet of things (IoT), virtual reality (VR), augmented reality (AR), industrial control, self driving, remote medical, smart grid, smart furniture, smart office, smart wear, smart transportation, smart city, unmanned aerial vehicle, robot, etc. The terminal device can be sometimes referred to as user equipment (UE), terminal, access station, UE station, remote station, wireless communication device, or user apparatus, etc.

[0078] The network device includes, for example, an access network device (or, an access network apparatus / access network network element), and / or a core network device (or, a core network apparatus / core network network element).

[0079] The access network device is a device with wireless transceiver function, which is used to communicate with the terminal device. The access network device includes but is not limited to the base station (BTS, Node B, eNodeB / eNB, or gNodeB / gNB), transmission reception point (TRP), base station of subsequent evolution of 3GPP, access node in wireless fidelity (WiFi) system, wireless relay node, wireless backhaul node, satellite or unmanned aerial vehicle, etc. in the communication system. The base station can be a macro base station, a micro base station, a pico base station, a small station, a relay station, etc. Multiple base stations can support the network of the same access technology mentioned above, or support the network of different access technologies mentioned above. The base station can contain one or more co-sited or non-co-sited transmission reception points. The access network device can also be a wireless controller in a cloud radio access network (C(R)AN) scenario, a centralized unit (CU), which can also be called a convergence unit, and / or a distributed unit (DU), etc. The access network device can also be a server, a wearable device, or a vehicle-mounted device, etc. For example, the access network device in vehicle to everything (V2X) technology can be a road side unit (RSU). The following describes the access network device as an example of a base station. Multiple access network devices in the communication system can be the same type of base station, or different types of base stations. The base station can communicate with the terminal device, or communicate with the terminal device through the relay station. The terminal device can communicate with multiple base stations in different access technologies.

[0080] In the case that the access network device includes a CU and / or a DU. The CU and the DU can be understood as a division of the access network device from a logical function perspective. The CU and the DU can be physically separated or deployed together, and embodiments of the present application do not make specific limitations thereon. One CU can be connected with one DU, or multiple DUs can share one CU. The CU and the DU can be divided according to a protocol stack, and one possible way is to deploy the RRC, service data adaptation protocol (SDAP), and packet data convergence protocol (PDCP) layers in the CU, and deploy the remaining radio link control (RLC) layer, media access control (MAC) layer, and physical layer in the DU. The embodiments of the present application do not completely limit the CU and the DU to be divided according to the above protocol stack, and other division manners can also be used, for example, division according to service types.

[0081] The access network device in the embodiments of the present application can also refer to a centralized unit control plane (CU-CP) node or a centralized unit user plane (CU-UP) node, or include the CU-CP and the CU-UP. The CU-CP is responsible for control plane functions, mainly including the RRC and the PDCP-C. The PDCP-C is mainly responsible for data encryption and decryption, integrity protection, data transmission, and the like of the control plane. The CU-UP is responsible for user plane functions, mainly including the SDAP and the PDCP-U. The SDAP is mainly responsible for processing data of the core network and mapping the flow to a bearer. The PDCP-U is mainly responsible for data encryption and decryption, integrity protection, header compression, sequence number maintenance, data transmission, and the like of the data plane.

[0082] In different systems, the CU (including the CU-CP or the CU-UP) or the DU can also have different names, but those skilled in the art can understand the meanings thereof. For example, in an open radio access network (O-RAN) system, the CU can also be referred to as an O-CU (open CU), the DU can also be referred to as an O-DU, the CU-CP can also be referred to as an O-CU-CP, and the CU-UP can also be referred to as an O-CU-UP.

[0083] The core network device is used to implement at least one of the following functions: mobility management, data processing, session management, policy and billing. The names of the devices that implement core network functions in systems with different access technologies may be different, and this embodiment of the present application is not limited to this. Taking the 5G system as an example, the core network device includes: access and mobility management function (AMF), session management function (SMF), or user plane function (UPF).

[0084] Various communication systems applicable to the embodiments of the present application include long term evolution (LTE) system, LTE frequency division duplex (FDD) system, LTE time division duplex (TDD) system, fifth generation (5G) system, th Generation, 5G) (such as new radio (NR) system), wireless local area network (WLAN) system, satellite communication system, side link (SL) communication system, future evolved communication system, or a fusion system of multiple systems, etc., without limitation. SL can also be called side communication link, side link, side link, direct link, side link or auxiliary link, etc. SL includes vehicle-to-everything (V2X) communication, etc. V2X communication may include: vehicle-to-vehicle (V2V) communication, vehicle-to-roadside infrastructure (V2I) communication, vehicle-to-pedestrian (V2P) communication, vehicle-to-network (V2N) communication, etc., without specific limitation.

[0085] The following is an example of a schematic diagram of a communication system applicable to the embodiments of the present application, with reference to the accompanying drawings.

[0086] Please refer to Figure 1 , is a schematic diagram of a communication system applicable to the embodiment of the present application. Figure 1 As shown, the communication system includes terminal equipment and network equipment. Figure 1 The example uses two terminal devices and one network device. In practice, there is no limit on the number of terminal devices and network devices. Figure 1The terminal device of any one of the above embodiments can be an example of the first communication device, and the network device can be an example of the second communication device.

[0087] The network device can send a downlink signal to the terminal device, and / or the terminal device can send an uplink signal to the network device. Optionally, the terminal device can deploy a model, and the network device can monitor the model through interaction with the terminal device. Alternatively, the model can also be deployed in other devices in communication with the terminal device. In this way, the network device can also monitor the model through interaction with the terminal device.

[0088] Please refer to Figure 2 , a schematic diagram of a communication system suitable for the embodiments of the present application. Compared with Figure 1 , the communication system shown in the figure, Figure 2 The AI network element is used to perform AI-related operations, such as building a training data set or training an AI model. Figure 2 The terminal device involved can be an example of the first communication device, and the network device can be an example of the second communication device.

[0089] For example, the network device can send data related to the training of the AI model to the AI network element, and the AI network element can build a training data set and train the model. For example, the data related to the training of the model can include data reported by the terminal device. The AI network element can send the result of the operation related to the AI model to the network device and forward it to the terminal device through the network device. For example, the result of the operation related to the model can include at least one of the following: the trained model, the evaluation result or test result of the model, etc.

[0090] Optionally, part of the trained AI model can be deployed on the network device, and the other part can be deployed on the terminal device. Alternatively, the trained AI model can be deployed on the network device. Alternatively, the trained AI model can be deployed on the terminal device. Alternatively, the AI network element can also be set as a module in the network device and / or the terminal device, for example, in the network device or the terminal device shown in Figure 2 .

[0091] Figure 2 Only the AI network element is directly connected to the network device as an example, in other scenarios, the AI network element can also be connected to the terminal device. Alternatively, the AI network element can be connected to the network device and the terminal device at the same time. Alternatively, the AI network element can also be connected to the network device through a third-party network element. The connection relationship between the AI network element and other network elements is not limited in the embodiments of the present application.

[0092] Figure 1 , and Figure 2For ease of understanding, the simplified schematic diagram is exemplified, for example, other devices such as wireless relay devices and / or wireless backhaul devices can also be included in the communication system, Figure 1 and Figure 2 are not shown.

[0093] The architecture of the access network device is exemplarily introduced below in combination with the structure schematic diagram of the communication system shown in Figure 3 and Figure 4

[0094] As shown in Figure 3 , the devices in the communication system are connected through interfaces (for example, NG, Xn) or air interfaces. One or more AI modules are arranged in one or more of the devices, such as core network devices, access network nodes (for example, RAN devices), terminal devices, or operation, administration and maintenance (OAM) devices. Figure 3 In the example shown in Figure 3 , the number of AI modules arranged in a device is 1, and the number of AI modules arranged in a device is not limited in practice. The access network node can be a separate RAN node, or can include multiple RAN nodes, for example, including a CU and a DU. The CU and / or DU can also be arranged with one or more AI modules.

[0095] The AI module is used to implement the corresponding function. The AI modules deployed in any two of the one or more devices can be completely the same, partially the same, or completely different, and the embodiments of the present application do not make specific limitations thereon. The AI module is used to implement the corresponding AI function. The AI modules deployed in different devices can be the same or different. The model of the AI module can implement different functions according to different parameter configurations. The model of the AI module can be configured based on one or more of the following parameters: structural parameters (for example, at least one of the number of neural network layers, the width of the neural network, the connection relationship between layers, the weight of neurons, the activation function of neurons, or the bias in the activation function), input parameters (for example, the type of input parameters and / or the dimension of input parameters), or output parameters (for example, the type of output parameters and / or the dimension of output parameters). The bias in the activation function can also be referred to as the bias of the neural network.

[0096] ​An AI module can include one or more models. A model can infer an output, which includes one or more parameters. The learning, training, or inference processes of different models can be deployed on different nodes or devices, or on the same node or device.

[0097] In one possible implementation, the AI ​​module may be a RAN intelligent controller (RIC), such as a near-real time RIC (near-real time RIC, near-RT RIC) or a non-real time RIC (non-real time RIC, Non-RT RIC). For example, the near-real time RIC is set in a RAN node (e.g., in a CU and / or DU), while the non-real time RIC is set in an OAM, a cloud server, a core network device, or other network devices. The RIC may obtain subsets from multiple terminal devices from a RAN node (e.g., a CU, CU-CP, CU-UP, DU, and / or RU), reorganize them into a training data set, and perform model training based on the training data set.

[0098] For example, the near real-time RIC and the non-real-time RIC may also be separately configured as a network element.

[0099] like Figure 4 As shown, the communication system includes RIC. For example, RIC can be Figure 3 The AI ​​module shown in FIG is used to implement AI-related functions. The RIC includes a near-real-time RIC and a non-real-time RIC. The near-real-time RIC and / or the non-real-time RIC can be used as an example of one of the second communication devices. The real-time RIC mainly processes near-real-time information, such as data that is relatively sensitive to latency and has a latency of tens of milliseconds. The non-real-time RIC mainly processes non-real-time information, such as data that is not sensitive to latency and has a latency of seconds.

[0100] Near real-time RIC is used for model training and reasoning. For example, it is used to train an AI model and use the AI ​​model for reasoning. Near real-time RIC can obtain network-side and / or terminal-side information from RAN nodes (such as CU, CU-CP, CU-UP, DU and / or RU) and / or terminal devices. This information can be used as training data or reasoning data. Optionally, near real-time RIC can deliver the reasoning results to the RAN node and / or terminal. Optionally, the reasoning results can be exchanged between the CU and DU, and / or between the DU and RU. For example, the near real-time RIC delivers the reasoning results to the DU, and the DU sends it to the RU.

[0101] The non-real-time RIC is also used for model training and inference. For example, the non-real-time RIC is used for training an AI model, and inference is performed using the model. The non-real-time RIC can obtain network-side and / or terminal-side information from a RAN node (for example, a CU, a CU-CP, a CU-UP, a DU, and / or a RU) and / or a terminal. The information can be used as training data or inference data, and the inference result can be delivered to the RAN node and / or the terminal. Alternatively, the inference result can be exchanged between the CU and the DU, and / or between the DU and the RU, for example, the non-real-time RIC delivers the inference result to the DU, and the DU delivers the inference result to the RU.

[0102] The near-real-time RIC and the non-real-time RIC can also be separately provided as a network element. Alternatively, the near-real-time RIC and the non-real-time RIC can also be part of other devices, for example, the near-real-time RIC is provided in a RAN node (for example, in a CU and / or a DU), and the non-real-time RIC is provided in an OAM, a cloud server, a core network device, or other network devices.

[0103] The above Figures 1 to 4 is an example of a communication system to which the embodiments of the present application are applied, and does not limit the communication system to which the embodiments of the present application can be applied.

[0104] The data collection scheme provided by the embodiments of the present application will be described below with reference to the accompanying drawings.

[0105] In the drawings corresponding to the various embodiments of the present application, the steps represented by dashed lines are optional steps. In addition, the first communication device involved in the various embodiments of the present application is, for example, Figures 1 to 4 any terminal device. The second communication device involved in the various embodiments of the present application is, for example, Figure 1 a network device, Figure 2 a network device, Figure 3 a CU, a DU, a core network device, an access network node, or an OAM, or Figure 4 a non-real-time RIC, a near-real-time RIC, a CU, a DU, a CU-CP, a RU, or an access network node. In addition, as the standards evolve, the names and / or functions of devices or nodes may change, which is not limited.

[0106] Please refer to Figure 5 , a communication method provided by the communication method 500 of the embodiments of the present application. The various steps shown in Figure 5 will be described below.

[0107] S501, the second communication device sends first indication information to the first communication device. Correspondingly, the first communication device receives the first indication information from the second communication device.

[0108] The first indication information can be carried in RRC signaling, DCI, a media access control (MAC) layer control element (CE), or other signaling, for example, and the like, without limitation. For example, the first indication information is carried in CSI reporting configuration (CSI-ReportConfig) of RRC signaling.

[0109] The first indication information is used to indicate nominal reference signal resource set information, and the nominal reference signal resource set can be a reference signal and / or a beam, and the reference signal can be a CSI, an SSB, and the like.

[0110] S502, the second communication device sends second indication information to the first communication device. Correspondingly, the first communication device receives the second indication information from the second communication device.

[0111] The second indication information can be carried in RRC signaling, DCI, a media access control (MAC) layer control element (CE), or other signaling, for example, and the like, without limitation. For example, the second indication information is carried in CSI reporting configuration (CSI-ReportConfig) of RRC signaling.

[0112] The second indication information is used to indicate that the first communication device receives first reference signal resource set information from the second communication device, and the first reference signal resource set information is used for the first communication device to perform AI operation on the first model, where the AI operation includes training and / or inference and / or monitoring.

[0113] Optionally, the first reference signal resource set is a subset of the nominal reference signal resource set.

[0114] S503, the second communication device sends third indication information to the first communication device. Correspondingly, the first communication device receives the third indication information from the second communication device.

[0115] The second indication information can be carried in RRC signaling, DCI, a media access control (MAC) layer control element (CE), or other signaling, for example, and the like, without limitation. For example, the second indication information is carried in CSI reporting configuration (CSI-ReportConfig) of RRC signaling.

[0116] The third indication information indicates a first relationship, and the first relationship indicates a relationship between the nominal reference signal resource set and the first reference signal resource set.

[0117] The first relationship includes a correlation relationship and / or a mapping relationship. The correlation relationship refers to the correlation relationship between the two resource sets. For example, in the configuration information corresponding to the first resource set, an additional field is introduced to indicate the configuration of the nominal reference resource, such as CSI-reportConfig ID, resourceSet ID, resourceConfig ID, and the like. The mapping relationship refers to a subset relationship between a resource set (small set) and another resource set (large set), and each resource in the small set corresponds to a one-to-one mapping of the resource in the large set. For example, the first reference signal resource set is a subset of the nominal reference signal resource set, and each signal resource in the first reference signal resource set corresponds to the position of the signal resource in the nominal reference signal resource set.

[0118] In the embodiments of the present application, the nominal reference signal resource set is used to represent the reference signal resource set corresponding to the output result of the first model of the first communication device, so that the input information is wider during AI model training and / or inference and / or monitoring, which is beneficial to the comparison of measurement results and further improves the efficiency of beam management.

[0119] The first model herein can be an AI model, which refers to a function model that maps a certain dimension of input to a certain dimension of output, and the model parameters are obtained through machine learning training. The type of AI model can be a neural network, a linear regression model, a decision tree model, a support vector machine (SVM), a Bayesian network, a Q learning model, or other machine learning models; or it can be a first function, and the first function can be a set of AI configurations, such as reference signal configurations and / or CSI report configurations corresponding to model input / output.

[0120] Please refer to Figure 6 Another communication method is provided for the communication method 600 of the embodiments of the present application. The following describes each step shown in Figure 6

[0121] S601, the second communication device sends first indication information to the first communication device. Correspondingly, the first communication device receives the first indication information from the second communication device.

[0122] For example, the first indication information can be carried in RRC signaling, DCI, media access control (MAC) layer control element (CE), or other signaling, which is not limited. For example, the first indication information is carried in the CSI report configuration (CSI-ReportConfig) of the RRC signaling. ​

[0123] The first indication information is used for indicating nominal reference signal resource set information, and the nominal reference signal resource set can be a reference signal and / or a beam, and the reference signal can be a CSI, an SSB, or the like.

[0124] S602, the second communication device sends second indication information to the first communication device. Correspondingly, the first communication device receives the second indication information from the second communication device.

[0125] For example, the second indication information is carried in CSI reporting configuration (CSI-ReportConfig) of RRC signaling.

[0126] The second indication information is used for indicating first reference signal resource set information received by the first communication device from the second communication device, and the first reference signal resource set information is used for the first communication device to perform AI operation on the first model, where the AI operation includes training and / or inference and / or monitoring.

[0127] Optionally, the first reference signal resource set is a subset of the nominal reference signal resource set.

[0128] S603, the second communication device sends third indication information to the first communication device. Correspondingly, the first communication device receives the third indication information from the second communication device.

[0129] For example, the second indication information is carried in CSI reporting configuration (CSI-ReportConfig) of RRC signaling.

[0130] The third indication information indicates a first relationship, and the first relationship indicates a relationship between the nominal reference signal resource set and the first reference signal resource set.

[0131] The first relationship includes an association relationship and / or a mapping relationship. The association relationship refers to the association relationship between the two resource sets. For example, in the configuration information corresponding to the first resource set, an additional field is introduced to indicate the configuration of the nominal reference resource, such as CSI-reportConfig ID, resourceSet ID, resourceConfig ID, etc. The mapping relationship refers to a subset relationship between a resource set (small set) and another resource set (large set), and each resource in the small set corresponds to a one-to-one mapping of the resource in the large set. For example, the first reference signal resource set is a subset of the nominal reference signal resource set, and each signal resource in the first reference signal resource set corresponds to the position of the signal resource in the nominal reference signal resource set.

[0132] S604, the first communication device measures the first reference signal resource set to obtain a first measurement result.

[0133] The first measurement result includes a label determined by the first communication device through training or monitoring of the first model.

[0134] S605, the second communication device sends fourth indication information to the first communication device. Correspondingly, the first communication device receives the fourth indication information from the second communication device.

[0135] For example, the second indication information can be carried in RRC signaling, DCI, media access control (MAC) layer control element (CE), or other signaling, which is not limited. For example, the second indication information is carried in the CSI report configuration (CSI-ReportConfig) of the RRC signaling.

[0136] The fourth indication information indicates that the first communication device receives the second reference signal resource set information from the second communication device; the second reference signal resource set is used for the first communication device to perform AI operation on the first model, and the AI operation includes training and / or inference and / or monitoring.

[0137] S606, the second communication device sends fifth indication information to the first communication device. Correspondingly, the first communication device receives the fifth indication information from the second communication device.

[0138] Exemplarily, the second indication information can be carried in RRC signaling, DCI, a media access control (MAC) layer control element (CE), or other signaling, which is not limited. For example, the second indication information is carried in CSI-ReportConfig of RRC signaling.

[0139] The fifth indication information indicates the second relationship.

[0140] The second relationship includes an association relationship between the first reference signal resource set and the second reference signal resource set and / or a mapping relationship between the first reference signal resource set and the second reference signal resource set. The association relationship includes a second field in configuration information of the second reference signal resource set, and the second field is used for first reference signal resource set configuration information. The configuration information of the first reference signal resource set includes a configuration ID of the first reference signal resource set. The mapping relationship indicates that the second reference signal resource set is a subset of the first reference signal resource set, and includes a position of each signal resource in the second reference signal resource set corresponding to a signal resource in the first reference signal resource set.

[0141] S607, the first device measures the second reference signal resource set to obtain a second measurement result, and the second measurement result contains an input of the first communication device for first model inference.

[0142] Please refer to Figure 7 Another beam management method is provided for the communication method 700 of the embodiments of the present application. The following describes each step shown in FIG. 7. Figure 7

[0143] S701-S707 are consistent with steps S601-S607 of embodiment 600.

[0144] S708, the first device measures the first reference signal resource set to obtain a third measurement result, and the third measurement result contains an input of the first communication device for first model inference.

[0145] In the embodiments of the present application, a beam management method is provided. The method is suitable for a scenario in which a network device configures a terminal device to perform multi-beam / resource scanning. Through the cooperation of the first relationship, the second relationship configuration, and the nominal reference signal resource information indication, the monitoring process of the terminal device on the multi-beam / resource model is supported, which is beneficial to reducing the number of times of scanning beams / resources of the terminal device and achieving energy saving effect.

[0146] ​It should be understood that, in order to realize the functions in the above embodiments, the base station and the terminal include hardware structures and / or software modules corresponding to the functions. Those skilled in the art should easily understand that, in combination with the units and method steps of the examples described in the embodiments disclosed in the present application, the present application can be realized in the form of hardware or a combination of hardware and computer software. Whether a certain function is realized in the form of hardware or computer software driving hardware depends on the specific application scenarios and design constraints of the technical solutions.

[0147] Figures 8 to 10 The structure of a possible communication apparatus is provided for the embodiments of the present application. The communication apparatus can be used to realize the functions of the first communication device or the second communication device in the above method embodiments, or to realize the functions of the terminal device or the network device in the above method embodiments, and thus can also realize the beneficial effects possessed by the above method embodiments. In the embodiments of the present application, the communication apparatus can be, for example, Figures 1 to 4 any terminal device involved, or Figure 1 any network device involved, Figure 2 any network device involved, Figure 3 any CU, DU, core network device, access network node or OAM involved, or Figure 4 any non-real-time RIC, near-real-time RIC, CU, DU, CU-CP, RU or access network node involved, or a module (such as a chip) applied to a terminal device or a network device.

[0148] As shown in Figure 8 , the communication apparatus 800 includes a processing module 810 and a transceiver module 820.

[0149] In a possible embodiment, the communication apparatus 800 is configured to realize the functions of the first communication device in the above method embodiments, or Figure 5 the functions of the terminal device in the above method embodiments. Figure 6 Figure 7 For example, the transceiver module 820 can be configured to receive the first indication information and transmit the first information under the control of the processing module 810.

[0150] The communication apparatus 800 can also realize the steps implemented by the first communication device in the above method embodiments, or the steps implemented by the terminal device in the above method embodiments, which will not be listed one by one here.

[0151] Figure 5 In a possible embodiment, the communication apparatus 800 is configured to realize the functions of the first communication device in the above method embodiments, or Figure 6 the functions of the terminal device in the above method embodiments. Figure 7

[0152] In a possible embodiment, the communication apparatus 800 is configured to realize the functions of the first communication device in the above method embodiments, or Figure 5 ​​the function of the second communication device in the method embodiment shown in Figure 6 ,the function of the network device in the method embodiment shown in Figure 7 .

[0153] For example, the transceiver module 820 can be configured to, under the control of the processing module 810, send the first indication information, receive the first information, and the like.

[0154] The communication apparatus 800 can also implement Figure 5 the steps implemented by the second communication device in the method embodiment shown in Figure 6 ,the steps implemented by the network device in the method embodiment shown in Figure 7 , which will not be listed one by one.

[0155] As shown in Figure 9 , the communication apparatus 900 includes a processor 910 and an interface circuit 920. The processor 910 and the interface circuit 920 are coupled to each other. It can be understood that the interface circuit 920 can be a transceiver or an input / output interface. Optionally, the communication apparatus 900 can also include a memory 930 for storing instructions executed by the processor 910 or storing input data required by the processor 910 to run instructions or storing data generated after the processor 910 runs instructions.

[0156] The communication apparatus 900 can be configured to implement Figure 5 Figure 6 Figure 7 the method embodiments shown in

[0157] Optionally, the communication apparatus 900 is also configured to implement the functions of the communication apparatus 800 shown in Figure 8 . In this case, the processor 910 is configured to implement the functions of the processing module 810 described above, and the interface circuit 920 is configured to implement the functions of the transceiver module 820 described above.

[0158] When the above communication apparatus is a chip applied to a terminal device, the terminal device chip implements the functions of the terminal device in the above method embodiments. The terminal device chip receives information from other modules (such as a radio frequency module or an antenna) in the terminal device, and the information is sent by the network device to the terminal device; or the terminal device chip sends information to other modules (such as a radio frequency module or an antenna) in the terminal device, and the information is sent by the terminal device to the network device.

[0159] When the communication apparatus is a module applied to a network device, the network device module implements the functions of the network device in the method embodiments. The network device module receives information from other modules (such as a radio frequency module or an antenna) in the network device, and the information is sent by the terminal device to the network device. Alternatively, the network device module sends information to other modules (such as a radio frequency module or an antenna) in the network device, and the information is sent by the network device to the terminal device. The network device module herein can be a baseband chip of the network device, or a DU or other module. The DU herein can be a DU under the open radio access network (O-RAN) architecture.

[0160] It can be understood that the processor involved in various embodiments of the present application can be a central processing unit (CPU), and can also be other general-purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), field programmable gate arrays (FPGAs) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. The general-purpose processor can be a microprocessor or any conventional processor. In addition, the memory involved in various embodiments of the present application can include a volatile memory such as a random access memory (RAM). The memory can also include a non-volatile memory such as a read-only memory (ROM), a flash memory, a hard disk drive (HDD) or a solid state drive (SSD).

[0161] Another example of the communication apparatus provided in the embodiments of the present application includes at least one processor and at least one memory coupled to the at least one processor. The at least one memory is configured to store instructions, and when the instructions are executed by the at least one processor, the communication apparatus performs the method in the above embodiments. Taking the communication apparatus including one processor and one memory as an example, the at least one memory is configured to store instructions, and when the instructions are executed by the at least one processor, the communication apparatus performs the method in the above embodiments. Figure 10As shown, the communication device 1000 includes a processor 1010 and a memory 1020. The processor 1010 and the memory 1020 are coupled, and the memory 1020 stores instructions. When the instructions stored in the memory 1020 are executed by the processor 1010, the communication device 1000 executes the implementation. Figure 5 、 Figure 6 、 Figure 7 Any of the method embodiments shown.

[0162] The method steps in each embodiment of the present application can be implemented in hardware or in software instructions that can be executed by a processor. The software instructions can be composed of corresponding software modules, and the software modules can be stored in random access memory, flash memory, read-only memory, programmable read-only memory, erasable programmable read-only memory, electrically erasable programmable read-only memory, registers, hard disk, mobile hard disk, CD-ROM or any other form of storage medium well known in the art. An exemplary storage medium is coupled to the processor so that the processor can read information from the storage medium and write information to the storage medium. The storage medium can also be an integral part of the processor. The processor and storage medium can be located in an ASIC. In addition, the ASIC can be located in a base station or a terminal. The processor and storage medium can also exist in a base station or a terminal as discrete components.

[0163] In the above embodiments, all or part of the embodiments may be implemented using software, hardware, firmware, or any combination thereof. When implemented using software, all or part of the embodiments may be implemented in the form of a computer program product. The computer program product includes one or more computer programs or instructions. When the computer program or instructions are loaded and executed on a computer, the processes or functions described in the embodiments of the present application are performed in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, a network device, a user device, or other programmable device. The computer program or instructions may be stored in a computer-readable storage medium or transferred from one computer-readable storage medium to another. For example, the computer program or instructions may be transferred from one website, computer, server, or data center to another website, computer, server, or data center via wired or wireless means. The computer-readable storage medium may be any available medium that can be accessed by a computer or a data storage device such as a server or data center that integrates one or more available media. The available medium may be a magnetic medium, such as a floppy disk, hard disk, or magnetic tape; an optical medium, such as a digital video disk; or a semiconductor medium, such as a solid-state drive. The computer-readable storage medium may be a volatile or nonvolatile storage medium, or may include both volatile and nonvolatile types of storage media.

[0164] The embodiment of the present application provides a communication system, which comprises a first communication device and a second communication device. The first communication device can realize Figure 5 the function of the first communication device, or realize Figure 6 、 Figure 7 the function of the terminal device. The second communication device can realize Figure 5 the function of the second communication device, or realize Figure 6 、 Figure 7 the function of the network device.

[0165] The embodiment of the present application provides a chip system, which comprises a processor and an interface. The processor is used for calling and running instructions from the interface, and when the processor executes the instructions, any method shown in Figure 5 、 Figure 6 、 Figure 7 is realized.

[0166] The embodiment of the present application provides a computer readable storage medium, which is used for storing a computer program or instructions, and when the computer program or instructions are run, any method shown in Figure 5 、 Figure 6 、 Figure 7 is realized.

[0167] The embodiment of the present application provides a computer program product containing instructions, and when the computer program product is run on a computer, any method shown in Figure 5 、 Figure 6 、 Figure 7 is realized.

[0168] In various embodiments of the present application, if there is no special description and logical conflict, the terms and / or descriptions of different embodiments are consistent and can be mutually referred, and the technical features in different embodiments can be combined to form new embodiments according to their inherent logical relationship.

[0169] It can be understood that various digital numbers involved in various embodiments of the present application are only used for differentiation for convenience of description, and are not used to limit the scope of the embodiments of the present application. The size of the serial number of the above processes does not mean the execution order, and the execution order of the processes should be determined according to the function and inherent logic.

Claims

1. A beam management method, characterized in that: The method is applied to a first communication device, and the method comprises: receiving first indication information, second indication information and third indication information from a second communication device; the first indication information indicates that the first communication device receives nominal reference signal resource set information from the second communication device; the second indication information indicates that the first communication device receives first reference signal resource set information from the second communication device; and the third indication information indicates a first relationship; the nominal reference signal resource set is used to represent a reference signal resource set corresponding to an output result of a first model of the first communication device; the first reference signal resource set is used for the first communication device to perform AI operation on the first model, and the AI operation comprises training and / or inference and / or monitoring; the first relationship indicates a relationship between the nominal reference signal resource set and the first reference signal resource set.

2. The method of claim 1, wherein the first relationship comprises an association relationship between the first reference signal resource set and the nominal reference signal resource set and / or a mapping relationship from the first reference signal resource set to the nominal reference signal resource set.

3. The method of claim 2, wherein the association relationship comprises a first field in configuration information of the first reference signal resource set, and the first field is used to indicate configuration information of the nominal reference signal resource set; the configuration information of the nominal reference signal resource set comprises a configuration ID of the nominal reference signal resource set; the mapping relationship indicates that the first reference signal resource set is a subset of the nominal reference signal resource set, and comprises a position of each signal resource in the first reference signal resource set corresponding to a signal resource in the nominal reference signal resource set.

4. The method according to any one of claims 1 to 3, characterized in that, The method further comprises the first communication device performs measurement on the first reference signal resource set to obtain a first measurement result, and the first measurement result comprises a label determined by the first communication device through training or monitoring of the first model.

5. The method of claim 1, wherein, The method further comprises the first communication device receives fourth indication information and fifth indication information from the second communication device; the fourth indication information indicates that the first communication device receives second reference signal resource set information from the second communication device; the fifth indication information indicates a second relationship; the second reference signal resource set is used for the first communication device to perform AI operation on the first model, and the AI operation comprises training and / or inference and / or monitoring; the second relationship indicates a relationship between the first reference signal resource set and the second reference signal resource set.

6. The method of claim 5, wherein the second relationship comprises an association relationship between the first reference signal resource set and the second reference signal resource set and / or a mapping relationship between the first reference signal resource set and the second reference signal resource set. the association relationship comprises a second field in configuration information of the second reference signal resource set, and the second field is used for first reference signal resource set configuration information, and the configuration information of the first reference signal resource set comprises a configuration ID of the first reference signal resource set. The mapping relationship indicates that the second reference signal resource set is a subset of the first reference signal resource set, and includes a position of each signal resource in the second reference signal resource set corresponding to a signal resource in the first reference signal resource set.

7. The method of claim 6, wherein, The method further includes The first communication device measures the second reference signal resource set to obtain a second measurement result, and the second measurement result contains an input of the first communication device for first model inference.

8. The method of claim 1, wherein, The method further includes The first communication device measures the first reference signal resource set to obtain a third measurement result, and the third measurement result contains an input of the first communication device for first model inference.

9. The method of claim 1, wherein The first reference signal resource set is a proper subset of the nominal reference signal resource set.

10. A communications device, characterized by comprise: a module for performing the method of any one of claims 1-9.

11. A communications device, characterized by comprise a processor and an interface circuit for receiving signals from other communication devices outside the communication device and transmitting the signals to the processor or sending signals from the processor to other communication devices outside the communication device, and the processor is used to implement the method of any one of claims 1-9 through a logic circuit or an execution code instruction.

12. A computer program product comprising instructions, characterized in that, When the instructions are executed by the communication device, the communication device performs the method of any one of claims 1-9.

13. A computer-readable storage medium, characterized in that, The storage medium stores a computer program or instructions, and when the computer program or instructions are executed by the communication device, the method of any one of claims 1-9 is implemented.

Images