Method and apparatus for setting channel state information report priority, and communication system

Abstract

Provided in the embodiments of the present application are a method and apparatus for setting a channel state information (CSI) report priority, and a communication system. The apparatus for setting a CSI report priority is applied to a terminal device, and the apparatus comprises a first processing unit, which controls a terminal device, such that the terminal device performs the following operations: receiving related parameters of a CSI report configured by a network device, wherein the CSI report comprises a first CSI report related to an artificial intelligence (AI) model; and calculating the value of a CSI report priority on the basis of the parameters, and determining the priority for the CSI report.

Description

Method, device and communication system for setting channel state information report priority Technical Field

[0001] The embodiments of the present application relate to the field of communication technologies. Background Art

[0002] As low-frequency spectrum resources become scarce, millimeter-wave (mmWave) bands offer greater bandwidth, making them a crucial frequency band for 5G NR (New Radio) systems. Due to their shorter wavelengths, mmWaves exhibit different propagation characteristics than traditional low-frequency bands, such as higher propagation loss and poor reflection and diffraction performance. Therefore, larger antenna arrays are typically employed to form shaped beams with greater gain, overcome propagation loss, and ensure system coverage. The 5G NR standard incorporates a series of beam management solutions, including beam scanning, beam measurement, beam reporting, and beam indication. However, a large number of transmit and receive beams significantly increases system load and latency.

[0003] It should be noted that the above introduction to the technical background is merely intended to provide a clear and complete description of the technical solutions of this application and facilitate understanding by those skilled in the art. Simply because these solutions are described in the background technology section of this application, it should not be assumed that the above technical solutions are well known to those skilled in the art.

[0004] Summary of the Invention

[0005] With the development of artificial intelligence (AI) technology, applying it to the physical layer of wireless communications to address the difficulties of traditional methods has become a current technical trend. For beam management, using AI models to predict the optimal spatial beam (pair) based on a small number of beam measurements can significantly reduce system load and latency.

[0006] In a traditional channel state information (CSI) report, each CSI report is associated with a priority value (i.e., the numerical value of the CSI report priority). Different CSI reports are associated with different priority values, with smaller priority values ​​indicating higher priority. When a terminal device needs to send multiple CSI reports to a network device simultaneously, the terminal device sends the reports to the network device in ascending order of priority value.

[0007] When uplink resources are limited, the terminal device selects some CSI reports from multiple CSI reports and sends them to the network device. The terminal device selects them in ascending order of priority value, preferentially sends high-priority CSI reports, and ignores (omit) low-priority CSI reports.

[0008] In addition, when the terminal device calculates CSI, if the terminal device needs to calculate multiple CSIs at the same time and then generate a CSI report on the terminal side, when computing resources are limited, the terminal device gives priority to calculating the CSI with a high CSI report priority (i.e., a small priority value). In other words, the terminal gives priority to generating a CSI report with a high priority.

[0009] In the case where the network device configures parameters for the CSI report of the terminal device, the terminal device calculates the priority values ​​of different CSI reports according to the parameters configured by the network device.

[0010] The inventors of this application discovered that when the simulated beam (pair) is predicted in the spatial or time domain through the terminal-side AI model, the terminal-side model needs to report the new report quantity to the network device. For the new report quantity, how to calculate the priority value of its CSI report and what priority rules the terminal uses to send the new report quantity, the existing technology has no relevant definition.

[0011] In response to at least one of the above problems or other similar problems, embodiments of the present application provide a method, apparatus, and communication system for setting channel state information reporting priority.

[0012] According to one aspect of an embodiment of the present application, a device for setting a channel state information report priority is provided, which is applied to a terminal device. The device includes a first processing unit, which controls the terminal device to cause the terminal device to perform the following operations:

[0013] Receiving parameters related to a channel state information (CSI) report configured by a network device, wherein the channel state information report includes a first channel state information report related to an artificial intelligence (AI) model; and

[0014] A value of the channel state information report priority is calculated based on the parameter, and the priority of the channel state information (CSI) report is determined.

[0015] According to another aspect of an embodiment of the present application, a device for setting a channel state information report priority is provided, which is applied to a network device. The device includes a second processing unit, which controls the network device to cause the network device to perform the following operations:

[0016] The network device configures, for the terminal device, parameters related to a channel state information (CSI) report, wherein the channel state information report includes a first channel state information report related to an artificial intelligence (AI) model, and the parameters are used to calculate a numerical value of a channel state information report priority; and

[0017] Receive a channel state information (CSI) report sent by the terminal device.

[0018] One of the beneficial effects of the embodiments of the present application is that: parameters of a first channel state information report related to an artificial intelligence model are received, and a numerical value of the priority of the first channel state information report is calculated based on the parameters, thereby setting a priority for the CSI report related to the AI ​​model, thereby avoiding uncertainty in the behavior of the terminal device when reporting multiple CSI reports.

[0019] With reference to the following description and accompanying drawings, specific embodiments of the present application are disclosed in detail, indicating the manner in which the principles of the present application can be employed. It should be understood that the embodiments of the present application are not limited in scope. Within the spirit and scope of the appended claims, the embodiments of the present application include many variations, modifications and equivalents.

[0020] Features described and / or illustrated with respect to one embodiment may be used in the same or similar manner in one or more other embodiments, combined with features in other embodiments, or substituted for features in other embodiments.

[0021] It should be emphasized that the term "include / comprising" when used herein refers to the presence of features, integers, steps or components, but does not exclude the presence or addition of one or more other features, integers, steps or components. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The elements and features described in one figure or one embodiment of the present application can be combined with the elements and features shown in one or more other figures or embodiments. In addition, in the accompanying drawings, similar reference numerals represent corresponding parts in several figures and can be used to indicate corresponding parts used in more than one embodiment.

[0023] FIG1 is a schematic diagram of a communication system of the present application;

[0024] FIG2 is a schematic diagram of a transmit beam and a receive beam in a communication system according to various embodiments of the present application;

[0025] FIG3 is a schematic diagram of a method for setting the channel state information report priority according to an embodiment of the first aspect of the present application;

[0026] FIG4 is a schematic diagram of a method for setting the channel state information report priority according to an embodiment of the second aspect of the present application;

[0027] FIG5 is a schematic diagram of a device for setting a channel state information report priority according to an embodiment of the third aspect;

[0028] FIG6 is a schematic diagram of a device for setting a channel state information report priority according to an embodiment of the fourth aspect;

[0029] FIG7 is a schematic diagram of a terminal device according to an embodiment of the fifth aspect;

[0030] FIG8 is a schematic diagram of a network device according to an embodiment of the fifth aspect. DETAILED DESCRIPTION

[0031] The above and other features of the present application will become apparent through the following description with reference to the accompanying drawings. In the description and the accompanying drawings, specific embodiments of the present application are disclosed in detail, which illustrate some embodiments in which the principles of the present application can be adopted. It should be understood that the present application is not limited to the described embodiments. On the contrary, the present application includes all modifications, variations and equivalents that fall within the scope of the appended claims.

[0032] In the embodiments of the present application, the terms "first", "second", etc. are used to distinguish different elements from the name, but do not indicate the spatial arrangement or temporal order of these elements, and these elements should not be limited by these terms. The term "and / or" includes any one and all combinations of one or more of the associated listed terms. The terms "comprising", "including", "having", etc. refer to the presence of the stated features, elements, components or components, but do not exclude the presence or addition of one or more other features, elements, components or components.

[0033] In the embodiments of this application, the singular forms "a," "the," etc. include plural forms and should be broadly understood to mean "a" or "a type" rather than being limited to "one." Furthermore, the term "said" should be understood to include both singular and plural forms, unless the context clearly indicates otherwise. Furthermore, the term "according to" should be understood to mean "at least in part based on...", and the term "based on" should be understood to mean "at least in part based on...", unless the context clearly indicates otherwise.

[0034] In the embodiments of the present application, the term "communication network" or "wireless communication network" may refer to a network that complies with any of the following communication standards, such as New Radio (NR), Long Term Evolution (LTE), Enhanced Long Term Evolution (LTE-A, LTE-Advanced), Wideband Code Division Multiple Access (WCDMA), High-Speed ​​Packet Access (HSPA), etc.

[0035] Furthermore, communication between devices in the communication system may be carried out according to communication protocols of any stage, for example, including but not limited to the following communication protocols: 1G (generation), 2G, 2.5G, 2.75G, 3G, 4G, 4.5G and 5G, New Radio (NR), etc., and / or other communication protocols currently known or to be developed in the future.

[0036] In the embodiments of the present application, the term "network device" refers to, for example, a device in a communication system that connects a terminal device to a communication network and provides services for the terminal device. Network devices may include, but are not limited to, the following devices: an integrated access and backhaul node (IAB-node), a base station (BS), an access point (AP), a transmission reception point (TRP), a broadcast transmitter, a mobile management entity (MME), a gateway, a server, a radio network controller (RNC), a base station controller (BSC), and the like.

[0037] Base stations may include, but are not limited to, NodeB (NB), evolved NodeB (eNodeB or eNB), and 5G base stations (gNB), among others. They may also include remote radio heads (RRHs), remote radio units (RRUs), relays, or low-power nodes (e.g., femeto, pico, etc.). The term "base station" may include some or all of their functions, and each base station may provide communication coverage for a specific geographic area. The term "cell" may refer to a base station and / or its coverage area, depending on the context in which the term is used.

[0038] In the embodiments of the present application, the term "user equipment" (UE) or "terminal equipment" (TE) refers to, for example, a device that accesses a communication network through a network device and receives network services. A terminal device can be fixed or mobile and may also be referred to as a mobile station (MS), a terminal, a subscriber station (SS), an access terminal (AT), a station, and so on.

[0039] Among them, terminal devices may include but are not limited to the following devices: cellular phones, personal digital assistants (PDAs), wireless modems, wireless communication devices, handheld devices, machine-type communication devices, laptop computers, cordless phones, smart phones, smart watches, digital cameras, etc.

[0040] For another example, in scenarios such as the Internet of Things (IoT), the terminal device can also be a machine or device for monitoring or measurement, including but not limited to: machine type communication (MTC) terminal, vehicle-mounted communication terminal, device-to-device (D2D) terminal, machine-to-machine (M2M) terminal, and so on.

[0041] In addition, the term "network side" or "network device side" refers to one side of the network, which can be a base station or one or more network devices as mentioned above. The term "user side" or "terminal side" or "terminal device side" refers to the user or terminal side, which can be a UE or one or more terminal devices as mentioned above.

[0042] In the following description, the terms "uplink control signal" and "uplink control information (UCI)" or "physical uplink control channel (PUCCH)" are interchangeable, and the terms "uplink data signal" and "uplink data information" or "physical uplink shared channel (PUSCH)" are interchangeable to avoid confusion.

[0043] The terms "downlink control signal" and "downlink control information (DCI)" or "physical downlink control channel (PDCCH)" are interchangeable, and the terms "downlink data signal" and "downlink data information" or "physical downlink shared channel (PDSCH)" are interchangeable.

[0044] In addition, sending or receiving PUSCH can be understood as sending or receiving uplink data carried by PUSCH, sending or receiving PUCCH can be understood as sending or receiving uplink information carried by PUCCH, and sending or receiving PRACH can be understood as sending or receiving preamble carried by PRACH; uplink signals can include uplink data signals and / or uplink control signals, etc., and can also be referred to as uplink transmission (UL transmission) or uplink information or uplink channels. Sending uplink transmission on uplink resources can be understood as sending the uplink transmission using the uplink resources. Similarly, downlink data / signals / channels / information can be understood accordingly.

[0045] In the embodiments of the present application, the high-layer signaling may be, for example, radio resource control (RRC) signaling; for example, an RRC message, including, for example, an MIB, system information, or a dedicated RRC message; or an RRC information element (RRC IE). The high-layer signaling may also be, for example, MAC (Medium Access Control) signaling; or a MAC control element (MAC CE). However, the present application is not limited thereto.

[0046] The following describes the scenarios of the embodiments of the present application through examples, but the present application is not limited thereto.

[0047] Figure 1 is a schematic diagram of the communication system of the present application, which schematically illustrates a situation taking a terminal device and a network device as an example. As shown in Figure 1, the communication system 100 may include a network device 101 and a terminal device 102 (for simplicity, Figure 1 only illustrates one terminal device as an example).

[0048] In the embodiment of the present application, existing services or future services can be carried out between the network device 101 and the terminal device 102. For example, these services include but are not limited to: enhanced mobile broadband (eMBB), massive machine type communication (mMTC), and ultra-reliable and low-latency communication (URLLC), etc.

[0049] The terminal device 102 may send data to the network device 101, for example, using an authorized or unauthorized transmission mode. The network device 101 may receive data sent by one or more terminal devices 102 and provide feedback to the terminal device 102, such as ACK / NACK information. The terminal device 102 may confirm the end of the transmission process, or may continue with new data transmission, or may retransmit the data based on the feedback information.

[0050] In the following description of this application, artificial intelligence (AI) may also be referred to as artificial intelligence / machine learning (AI / ML), and the two terms are interchangeable.

[0051] In the following embodiments of the present application, the signaling sent by the network device to the terminal device can be sent through downlink control information (DCI), and / or media access control element (MAC CE), and / or radio resource control (RRC) signaling.

[0052] In various embodiments of the present application, reporting may refer to an action of a terminal device sending information to a network device. For example, a terminal device reporting a CSI report may refer to the terminal device sending a CSI report to a network device.

[0053] In various embodiments of the present application, the channel state information report may also be referred to as a CSI report or a CSI report.

[0054] In each embodiment of the present application, the first channel state information report may also be referred to as: a channel state information report related to an artificial intelligence (AI) model, or a channel state information report carrying a reporting quantity related to an artificial intelligence (AI) model.

[0055] In the various embodiments of the present application, the AI ​​model includes, but is not limited to, an input layer (input), multiple convolutional layers, a concatenation layer (concat), a fully connected layer (FC), and a quantizer. The processing results of the multiple convolutional layers are merged at the concatenation layer. The specific structure of the AI ​​model can be found in the prior art and will not be further described here.

[0056] FIG2 is a schematic diagram of transmit and receive beams in a communication system according to various embodiments of the present application. As shown in FIG2 , in a communication system 100, taking a downlink channel as an example, a network device 101 may have M1 downlink transmit beams DL TX, and a terminal device 102 may have N1 downlink receive beams DL RX.

[0057] In an embodiment of the present application, as shown in FIG2 , a model 201 for predicting beam measurement results can be deployed in a network device 101 or a terminal device 102. Model 201 can predict the measurement results of M1*N1 beams based on the measurement results of some beams. Model 201 can be, for example, an AI model.

[0058] In addition, for the uplink channel, the network device 101 may have N2 uplink receive beams (not shown in FIG. 2 ), and the terminal device 102 may have M2 uplink transmit beams UL TX (not shown in FIG. 2 ).

[0059] The following is a description with reference to the accompanying drawings and embodiments.

[0060] Embodiments of the first aspect

[0061] For the traditional non-periodic channel state information report (CSI report), after the network device configures the report parameters for the terminal device, the terminal device calculates the priority value Pri of different CSI reports according to the configuration of the network device. CSI , the priority value Pri CSI It can be calculated based on the following parameters: CSI report configuration identifier; serving cell index; CSI report quantity (CSI report quantity); CSI report configuration type (CSI report configuration type).

[0062] For example, the priority value Pri_CSI can be calculated by the following formula (1): Pri CSI (y,k,c,s)=2·N cells ·M s y+N cells ·M s k+M s ·c+s (1)

[0063] In equation (1), y represents the CSI reporting configuration type. For aperiodic CSI reporting carried by the Physical Uplink Shared Channel (PUSCH), y = 0; for semi-persistent CSI reporting carried by the PUSCH, y = 1; for semi-persistent CSI reporting carried by the Physical Uplink Control Channel (PUCCH), y = 2; for periodic CSI reporting carried by the PUCCH, y = 3.

[0064] k is a parameter representing the CSI report quantity. For CSI reports that carry L1-RSRP (Reference Signal Receiving Power) or L1-SINR (Signal to Interference plus Noise Ratio), k = 0; for CSI reports that do not carry L1-RSRP or L1-SINR, k = 1.

[0065] c is a parameter indicating the serving cell index. Ncells is a parameter configured by a higher layer, and maxNrofSrevingCells is the maximum number of serving cells.

[0066] s is a parameter representing a CSI report configuration identifier (reportConfigID), and Ms is a parameter maxNrofCSI-ReportConfigurations configured by a higher layer, that is, the maximum number of CSI report configurations.

[0067] When the simulated beam (pair) is predicted in the spatial or time domain through the AI ​​model on the terminal device side, in the model inference stage, the terminal device reports the output of the model to the network device. The content of the report can be the predicted L1-RSRP / L1-SINR or the predicted probability information (for example, the probability information is the probability that a beam is the optimal beam) and the reference signal resource indication (CRI / SSB-RI). The reference signal resource indication is, for example: channel state information reference signal resource indication (CRI) or synchronization signal block resource indication (SSB-RI). In the model monitoring stage, if the model performance metric is calculated on the terminal side, the terminal also needs to report the performance metric of the model to the network device. The performance metric of the model can be the prediction accuracy of the beam, the estimation error of L1-RSRP / L1-SINR, the throughput or the block error rate (BLER), etc.

[0068] When the AI ​​model on the terminal device side predicts the simulated beam (pair) in the spatial or time domain, the terminal device reports the new report amount to the network device. For the new report amount, how to calculate the priority value of its CSI report and what priority rules the terminal device uses to send the new report amount are problems that need to be solved.

[0069] In order to solve the above problems, an embodiment of the first aspect of the present application provides a method for setting the priority of channel state information reporting, which is applied to a terminal device, for example, the terminal device 102 shown in Figure 1.

[0070] FIG3 is a schematic diagram of a method for setting a priority of a channel state information report in an embodiment of the first aspect. As shown in FIG3 , the method for setting a priority of a channel state information report includes:

[0071] Operation 301: Receive relevant parameters of a channel state information (CSI) report configured by a network device, wherein the channel state information report includes a first channel state information report related to an artificial intelligence (AI) model; and

[0072] Operation 302: Calculate the value of the channel state information report priority based on the parameter, and determine the priority of the channel state information (CSI) report.

[0073] According to an embodiment of the first aspect, a terminal device receives parameters of a first channel state information report related to an artificial intelligence (AI) model, and calculates a numerical value of the first channel state information report priority based on the parameters, thereby being able to set a priority for the CSI report related to the AI ​​model, thereby avoiding uncertainty in the behavior of the terminal device when reporting multiple CSI reports.

[0074] In the present application, the numerical value of the channel state information report (CSI report) priority may also be referred to as the priority value of the channel state information report (CSI report), where the smaller the numerical value of the channel state information report priority, the higher the priority of the channel state information report.

[0075] As shown in FIG3 , the method for setting the channel state information report priority may further include:

[0076] Operation 303: The terminal device preferentially sends a high-priority channel state information (CSI) report.

[0077] In operation 303, the terminal device may send channel state information reports in order of priority from high to low.

[0078] For example, when uplink resources are limited, the terminal device selects a part of CSI reports from multiple CSI reports and sends them to the network device. The terminal device selects in order of priority value from small to large, gives priority to sending CSI reports with high priority, and ignores (omit) CSI reports with low priority.

[0079] In addition, when the terminal device calculates CSI, if the terminal device needs to calculate multiple CSIs at the same time and then generate a CSI report on the terminal side, when computing resources are limited, the terminal device gives priority to calculating the CSI with a high CSI report priority (i.e., a small priority value). In other words, the terminal gives priority to generating a CSI report with a high priority.

[0080] In some embodiments of the present application, the channel state information report quantity (CSI report quantity) related to the AI ​​model may include: predicted layer 1 reference signal received power (L1-RSRP) or layer 1 signal to interference plus noise ratio (L1-SINR), probability information of beam prediction, or performance metrics of the model.

[0081] Among them, the predicted layer 1 reference signal received power (L1-RSRP) or layer 1 signal to interference plus noise ratio (L1-SINR), or the probability information of beam prediction can be obtained by the terminal device through reasoning of the artificial intelligence (AI) model, which can be called model reasoning-related report quantity; the performance measurement value of the model can be obtained by the terminal device through performance monitoring of the artificial intelligence (AI) model, which can be called model performance monitoring-related report quantity.

[0082] In at least some embodiments, the terminal device may desire that the first channel state information report of the bearer model reasoning related reporting quantity and the first channel state information report of the bearer model performance monitoring related reporting quantity are not sent at the same time.

[0083] In the present application, the channel state information (CSI) report described in operation 301 also includes a second channel state information report that is not related to the artificial intelligence (AI) model.

[0084] In at least some embodiments, the terminal device may desire that the first channel state information report and the second channel state information report are not sent at the same time.

[0085] In at least some other embodiments, when a first channel state information report and a second channel state information report are sent simultaneously: the terminal device expects that the numerical value of the priority of the first channel state information report is greater than the numerical value of the priority of the second channel state information report; or, the terminal device expects that the numerical value of the priority of the second channel state information report is greater than the numerical value of the priority of the first channel state information report.

[0086] In the present application, sending two or more channel state information reports simultaneously may mean that the terminal device sends the two or more channel state information reports on the same time resource. Sending two or more channel state information reports at different times may mean that the terminal device sends the two or more channel state information reports using different time resources.

[0087] In at least some embodiments of operation 302, the parameters used to calculate the value of the channel state information report priority may include at least one of the following parameters:

[0088] Parameter s indicating the channel state information (CSI) report configuration identifier;

[0089] Parameter c representing the serving cell index;

[0090] Parameter k representing the channel state information report quantity (CSI report quantity);

[0091] Parameter y indicating the channel state information report configuration type (CSI report configuration type);

[0092] Parameter x indicating whether the channel state information report is related to the artificial intelligence (AI) model.

[0093] Among them, the parameter x indicating whether the channel state information report is related to the artificial intelligence (AI) model can be used to indicate whether the channel state information report includes the channel state information (CSI) report amount related to the artificial intelligence (AI) model. For example, when the parameter x takes one value, it can indicate that the channel state information report includes the channel state information (CSI) report amount related to the artificial intelligence (AI) model, that is, the channel state information report is related to the artificial intelligence (AI) model, that is, the channel state information report is a first channel state information report; when the parameter x takes another value, it can indicate that the channel state information report does not include the channel state information (CSI) report amount related to the artificial intelligence (AI) model, that is, the channel state information report is not related to the artificial intelligence (AI) model, that is, the channel state information report is a second channel state information report.

[0094] For the calculation of the numerical value of the second channel state information report priority that is not related to the artificial intelligence (AI) model, the value of the parameter k representing the channel state information report amount can be a first set, that is, the value of the parameter k can be a first value (for example, k=0) or a second value (for example, k=1).

[0095] In some embodiments, for the calculation of the numerical value of the first channel state information report priority, the set of values ​​of the parameter k representing the channel state information report amount may be the same as the first set.

[0096] For example, for calculation of the numerical value of the first channel state information report priority, the parameter k representing the channel state information report amount takes a first value (eg, k=0) or a second value (eg, k=1).

[0097] For another example, for the calculation of the numerical value of the first channel state information reporting priority that carries the report amount related to artificial intelligence (AI) model reasoning, the value of the parameter k representing the channel state information reporting amount is one of a first value (e.g., 0) and a second value (e.g., 1), and for the calculation of the numerical value of the first channel state information reporting priority that carries the report amount related to artificial intelligence (AI) model performance monitoring, the value of the parameter k representing the channel state information reporting amount is the other of the first value and the second value. In one example, for the calculation of the numerical value of the first channel state information reporting priority that carries the report amount related to artificial intelligence (AI) model reasoning, the value of the parameter k representing the channel state information reporting amount is 0, and for the calculation of the numerical value of the first channel state information reporting priority that carries the report amount related to artificial intelligence (AI) model performance monitoring, the value of the parameter k representing the channel state information reporting amount is 1; and vice versa.

[0098] For another example, for the calculation of the numerical value of the first channel state information report priority that carries the reporting amount related to artificial intelligence (AI) model reasoning, and for the calculation of the numerical value of the first channel state information report priority that carries the reporting amount related to artificial intelligence (AI) model performance monitoring, the value of the parameter k representing the channel state information (CSI) reporting amount is the first value or the second value, and the terminal device expects at least one of the channel state information (CSI) report configuration identifier, service cell index and channel state information report configuration type configured by the network device to be different.

[0099] In some embodiments, for the calculation of the value of the first channel state information report priority, the set of values ​​of the parameter k representing the channel state information report amount may be different from the first set.

[0100] For example, for calculation of the numerical value of the first channel state information report priority, the value of the parameter k representing the channel state information report amount may be different from the first value and the second value.

[0101] In some examples, for calculating the value of the first channel state information reporting priority that carries a report amount related to artificial intelligence (AI) model reasoning, the value of the parameter k representing the channel state information reporting amount is a third value; for calculating the value of the first channel state information reporting priority that carries a report amount related to artificial intelligence (AI) model performance monitoring, the value of the parameter k representing the channel state information reporting amount is a fourth value. The third value and the fourth value may be equal or unequal.

[0102] In some embodiments, the third value is equal to the fourth value, and for the calculation of the numerical value of the first channel state information reporting priority carrying the reporting quantity related to artificial intelligence (AI) model reasoning, and for the calculation of the numerical value of the first channel state information reporting priority carrying the reporting quantity related to artificial intelligence (AI) model performance monitoring, the terminal device expects that at least one of the channel state information (CSI) reporting configuration identifier, service cell index and channel state information reporting configuration type configured by the network device is different. Thus, the first channel state information reporting priority carrying the reporting quantity related to artificial intelligence (AI) model reasoning and the first channel state information reporting priority carrying the reporting quantity related to artificial intelligence (AI) model performance monitoring are distinguished by at least one of the channel state information (CSI) reporting configuration identifier, service cell index and channel state information reporting configuration type.

[0103] In some embodiments, the value of the channel state information report priority can be calculated based on a parameter x indicating whether the channel state information report is related to an artificial intelligence AI model.

[0104] For example:

[0105] For calculation of the value of the first channel state information report priority, the value of the parameter x indicating whether the channel state information report is related to the artificial intelligence (AI) model is one of the fifth value and the sixth value. For calculation of the value of the second channel state information report priority not related to the artificial intelligence (AI) model, the value of the parameter x indicating whether the channel state information report is related to the artificial intelligence (AI) model is the other of the fifth value and the sixth value. The fifth value is, for example, 0, and the sixth value is, for example, 1.

[0106] When specifically calculating the numerical value of the channel state information report priority, the parameter x indicating whether the channel state information report is related to the artificial intelligence (AI) model can be used to adjust the weight of at least one of the parameter s representing the channel state information (CSI) report configuration identifier, the parameter c representing the serving cell index, the parameter k representing the channel state information report quantity (CSI report quantity), and the parameter y representing the channel state information report configuration type (CSI report configuration type).

[0107] Below, the embodiments of the first aspect of the present application are described in detail with reference to specific embodiments.

[0108] Example 1

[0109] In traditional channel state information reporting, the network device configures one or more reports and corresponding parameters for the terminal through RRC signaling, such as configuring one or more reports for the terminal in the CSI-MeasConfig information element, as shown in Table 1 below.

[0110] Table 1

[0111] The specific parameters of each report are given in the CSI-reportConfig information element, as shown in Table 2.

[0112] Table 2

[0113] The parameters include the CSI report configuration ID, serving cell index, CSI report quantity, and CSI report configuration type (periodic, semi-persistent, or aperiodic). Furthermore, the time-frequency resources required to send the CSI report are configured for each CSI report configuration type.

[0114] Based on the configuration, the terminal device sends one or more CSI reports to the network device and calculates a priority value for each report (see formula (1) for the specific method). The smaller the priority value, the higher the priority. When the terminal device needs to send multiple CSI reports on the same time resource, when resources are limited, the terminal device will prioritize sending CSI reports with higher priorities based on the calculated priority value and omit CSI reports with lower priorities.

[0115] When the simulated beam (pair) is predicted in the spatial or temporal domain using the terminal-side AI model, the terminal device needs to report the model output to the network device during the model inference phase. The report can include the predicted L1-RSRP / L1-SINR or beam prediction probability information (for example, the probability that a predicted beam is the optimal beam) and the reference signal resource indication (CRI / SSB-RI). During the model monitoring phase, if the model performance metric is calculated on the terminal side, the terminal device also needs to report the model performance metric to the network device.

[0116] The performance metrics of the model can include beam prediction accuracy, L1-RSRP / L1-SINR estimation error, throughput / BLER, etc. In other words, when the terminal-side AI model is used to predict the simulated beam (pair) in the spatial or time domain, the terminal device will generate a new report quantity. The terminal device needs to calculate the priority value for the CSI report carrying the new report quantity and send the CSI report carrying the new report quantity according to the pre-defined priority rules.

[0117] When the network device wants the terminal device to send a report related to the AI ​​model, the network device needs to specify the report quantity contained in the report in the configuration of the report parameters, such as the reportQuantity information field in the CSI-reportConfig information element shown in Table 2, and add the report quantity related to the AI ​​model. The report quantity includes the report quantity related to AI model reasoning, such as the predicted L1-RSRP / L1-SINR and reference signal resource indication (CRI / SSB-RI), or the probability information of beam prediction and the reference signal resource indication. It can also include report quantities related to AI model performance monitoring, such as performance metrics of the AI ​​model (beam prediction accuracy, estimation error of L1-RSRP / L1-SINR, throughput, frame error rate, etc.).

[0118] When a terminal device needs to send multiple CSI reports at the same time, the terminal device gives priority to sending CSI reports with higher priorities, and when resources are limited, ignores the sending of CSI reports with lower priorities.

[0119] In some embodiments, the network device does not want the CSI report related to the AI ​​model to be ignored. In this case, the network device can use its scheduling algorithm to prevent the CSI report related to the AI ​​model and the CSI report unrelated to the AI ​​model from being sent at the same time. In other words, the terminal device expects the CSI report related to the AI ​​model (i.e., the first CSI report) and the CSI report unrelated to the AI ​​model (i.e., the second CSI report) to be sent at different times.

[0120] In some embodiments, the network device does not want the CSI reports related to AI model reasoning to be ignored. Then the network device can use its scheduling algorithm to prevent the CSI reports related to AI model reasoning and the CSI reports unrelated to AI model reasoning from being sent at the same time. That is, the terminal device expects the CSI reports related to AI model reasoning (i.e., the first CSI report carrying the model reasoning-related report quantity) and the CSI reports unrelated to AI model reasoning (i.e., the first CSI report and / or the second CSI report carrying the model performance monitoring-related report quantity) to be sent at different times.

[0121] In some embodiments, the network device does not want the CSI reports related to AI model performance monitoring to be ignored. Then the network device can use its scheduling algorithm to prevent the CSI reports related to AI model performance monitoring and the CSI reports unrelated to AI model performance monitoring from being sent at the same time. That is, the terminal device expects the CSI reports related to AI model performance monitoring (i.e., the first CSI report carrying the model performance monitoring related report quantity) and the CSI reports unrelated to AI model performance monitoring (i.e., the first CSI report and / or the second CSI report carrying the model reasoning related report quantity) to be sent at different times.

[0122] Example 2

[0123] When the simulated beam(s) are predicted in the spatial or temporal domain using the terminal-side AI model, the priority values ​​of the CSI reports associated with the AI ​​model (i.e., the first CSI report) and the CSI reports not associated with the AI ​​model (i.e., the second CSI report) can be calculated based on at least one of the following parameters:

[0124] Parameter s indicating the channel state information (CSI) report configuration identifier;

[0125] Parameter c representing the serving cell index;

[0126] Parameter k representing the channel state information report quantity (CSI report quantity);

[0127] Parameter y indicating the channel state information report configuration type (CSI report configuration type).

[0128] For traditional CSI reports (i.e., CSI reports not related to the AI ​​model), when calculating their priority values, the CSI report amounts are divided into two categories: the first category is L1-RSRP or L1-SINR; the second category is non-L1-RSRP or L1-SINR, such as channel quality indication (CQI), rank indication (RI), precoding matrix indication (PMI), etc.

[0129] When calculating the numerical value of the CSI report priority related to the AI ​​model, in some embodiments, new report quantities (for example, new report quantities related to model reasoning are predicted L1-RSRP / L1-SINR or probability information of beam prediction, etc.; report quantities related to model monitoring are performance metrics, etc.) can be classified as the first category. That is, when calculating the numerical value of the CSI report priority, in formula (1), when the CSI report carries L1-RSRP / L1-SINR or a report quantity related to the AI ​​model, k = 0.

[0130] In other embodiments, the new reporting amount may also be classified as the second category. That is, when calculating the CSI report priority value, in formula (1), when the CSI report carries a reporting amount other than L1-RSRP / L1-SINR or related to the AI ​​model, k=1.

[0131] For reports related to the AI ​​model, when calculating the CSI report priority value, reports related to model reasoning can also be classified as the first category, that is, in formula (1), when the CSI report carries L1-RSRP / L1-SINR or reports related to AI model reasoning, k = 0; reports related to model performance monitoring can be classified as the second category, that is, in formula (1), when the CSI report carries non-L1-RSRP / L1-SINR or reports related to AI model performance monitoring, k = 1. The reverse is also true.

[0132] In some embodiments, when the scheduling algorithm of the network device cannot avoid the simultaneous transmission of an AI model-related CSI report (i.e., the first CSI report) and an AI model-unrelated CSI report (i.e., the second CSI report), and the network device does not want the AI ​​model-related CSI report or the AI ​​model-unrelated CSI report to be ignored, the network device may configure parameters to allow the AI ​​model-related CSI report or the AI ​​model-unrelated CSI report to have different priorities. In other words, the terminal expects the network device to configure parameters with different priorities for the model-related CSI report and the AI ​​model-unrelated CSI report. That is, the terminal device expects the numerical value of the priority of the CSI report related to the AI ​​model to be smaller than the numerical value of the priority of the CSI report not related to the AI ​​model; or, the numerical value of the priority of the CSI report related to the AI ​​model to be larger than the numerical value of the priority of the CSI report not related to the AI ​​model.

[0133] For example, the terminal device simultaneously sends a CSI report carrying the L1-SINR of the current serving cell and a CSI report carrying the amount of reports related to the AI ​​model (assuming that the parameters indicating the CSI report configuration type and the parameters indicating the serving cell index of the two CSI reports are the same). At this time, if the calculation of the CSI report priority corresponds to the case where k=0 in formula (1), including the CSI report carrying L1-RSRP / L1-SINR or the amount of reports related to the AI ​​model, the network device does not want the CSI report carrying the L1-SINR of the current serving cell to be ignored. Then, the network device may configure a larger CSI report configuration identifier (for example, a parameter indicating the CSI report configuration identifier) ​​for the CSI report related to the AI ​​model (compared to the CSI report carrying the L1-SINR of the current serving cell), or the terminal expects the network device to configure a larger CSI report configuration identifier (for example, a parameter indicating the CSI report configuration identifier) ​​for the CSI report related to the AI ​​model. At this time, the priority value of the CSI report related to the AI ​​model calculated by the terminal will be greater than the priority value of the CSI report carrying the L1-SINR of the current serving cell, and the CSI report related to the AI ​​model may be preferentially ignored. The opposite is also possible.

[0134] For example, in the inference stage of the AI ​​model, the reported L1-RSRP / L1-SINR is obtained through prediction. Compared with the actually measured L1-RSRP / L1-SINR, there is a problem with the prediction accuracy. Therefore, the CSI report related to the model reasoning can be configured with a lower priority, and the network can configure a larger CSI report configuration identifier (for example, a parameter representing the CSI report configuration identifier) ​​for the CSI report related to the model reasoning.

[0135] For another example, when monitoring the performance of an AI model, its performance measurement value will be used for association with the model life cycle. The network device does not want to ignore the CSI report related to the AI ​​model performance monitoring. At this time, the network device can configure a smaller CSI report configuration identifier for the CSI report related to the model performance monitoring (for example, the parameter indicating the CSI report configuration identifier is smaller), so that the CSI report related to the model performance monitoring has a higher priority.

[0136] In addition, the above-mentioned configuration method for the CSI report configuration identifier s can also be applied to the service cell index and / or channel state information report configuration type, for example, for the calculation of the numerical value of the first channel state information report priority for carrying the report amount related to artificial intelligence (AI) model reasoning, and for the calculation of the numerical value of the first channel state information report priority for carrying the report amount related to artificial intelligence (AI) model performance monitoring, it means that the values ​​of the parameters of the channel state information (CSI) report amount are the same (for example, both are equal to the first value or the second value), and the channel state information (CSI) report configuration identifier and / or service cell index and / or channel state information report configuration type configured by the network device are different.

[0137] Example 3

[0138] When the simulated beam(s) are predicted in the spatial or temporal domain using the terminal-side AI model, the priority values ​​of the CSI reports associated with the AI ​​model (i.e., the first CSI report) and the CSI reports not associated with the AI ​​model (i.e., the second CSI report) can be calculated based on at least one of the following parameters:

[0139] Parameter s indicating the channel state information (CSI) report configuration identifier;

[0140] Parameter c representing the serving cell index;

[0141] Parameter k representing the channel state information report quantity (CSI report quantity);

[0142] Parameter y indicating the channel state information report configuration type (CSI report configuration type).

[0143] In the third embodiment, the value of k can be expanded on the basis of formula (1), and different values ​​of k can be set for CSI reports related to the AI ​​model and CSI reports not related to the AI ​​model. For example, the following formula (2) can be used to calculate the numerical value Pri of the priority of the CSI report: CSI .Pri CSI (y,k,c,s)=M k ·N cells ·M s y+N cells ·M s k+M s ·c+s (2)

[0144] Where k is a parameter used to represent the CSI reporting amount, M k-1 represents the maximum value of k. For CSI reports that carry L1-RSRP or L1-SINR (Signal to Interference plus Noise Ratio) and are not related to the AI ​​model, k = 0; for CSI reports that do not carry L1-RSRP or L1-SINR and are not related to the AI ​​model, k = 1; for CSI reports that carry reports related to AI model reasoning, k = 2; for CSI reports that carry reports related to AI model performance monitoring, k = 3. In addition, k can also take other values ​​different from 0 and 1; here M k = 4. In addition, for CSI reports carrying AI model performance monitoring related reports and CSI reports carrying AI model reasoning related reports, k can also take other values, and the corresponding M k The value of will also change accordingly, and this application is not limited to this.

[0145] In addition, for CSI reports that carry reporting amounts related to the AI ​​model and reporting amounts unrelated to the AI ​​model, this application does not limit which reporting amount corresponds to the value of k. The correspondence between the reporting amount and the value of k can be set as needed.

[0146] For example, if you do not want the CSI report carrying the AI ​​model performance monitoring related report volume to be ignored, then in M k When the value of is constant, the value of k can be smaller for the amount of reports related to AI model performance monitoring, for example, k = 0. In this way, the value of the CSI report priority carrying the amount of reports related to AI model performance monitoring is smaller and the priority is higher.

[0147] In the above implementation of Example 3, the AI ​​model-related reporting quantities, namely, the reporting quantities related to model reasoning and model performance monitoring, correspond to different k values.

[0148] In addition, the present application is not limited thereto, and the report quantity related to the AI ​​model may also correspond to a k value, such as k=2, in which case M k= 3. In this case, in order to further distinguish the priorities of different reporting amounts related to the AI ​​model, this can be achieved through the CSI report configuration identifier and / or serving cell index and / or channel state information report configuration type configured by the network device. For example, if the network device does not want the CSI report related to AI model performance monitoring to be ignored, then when configuring the CSI reporting parameters for model performance monitoring and model inference, the network device configures a smaller CSI report configuration identifier for the CSI report related to performance monitoring (for example, indicating that the parameter of the CSI report configuration identifier is smaller), and configures a larger CSI report configuration identifier for the CSI report related to model inference (for example, indicating that the parameter of the CSI report configuration identifier is larger).

[0149] In addition, for the description of other parameters in formula (2), please refer to the relevant description of formula (1).

[0150] Example 4

[0151] When the simulated beam(s) are predicted in the spatial or temporal domain using the terminal-side AI model, the priority values ​​of the CSI reports associated with the AI ​​model (i.e., the first CSI report) and the CSI reports not associated with the AI ​​model (i.e., the second CSI report) can be calculated based on at least one of the following parameters:

[0152] Parameter s indicating the channel state information (CSI) report configuration identifier;

[0153] Parameter c representing the serving cell index;

[0154] Parameter k representing the channel state information report quantity (CSI report quantity);

[0155] Parameter y indicating the channel state information report configuration type (CSI report configuration type);

[0156] Parameter x indicating whether the channel state information report is related to the AI ​​model.

[0157] Among them, for the parameter x indicating whether the CSI report is related to the AI ​​model, the network device can explicitly provide it in the information element such as CSI-reportConfig (CSI report configuration). For example, an information field is added to indicate whether the CSI report is related to the AI ​​model, as shown in Table 3.

[0158] Table 3

[0159] In the example shown in Table 3, the reportwithAImodel information field is added to explicitly indicate whether the CSI report configuration is for CSI reporting of AI model-related reporting quantities. Its data type is an enumeration. When the configuration is supported, it indicates that the CSI report configuration is for CSI reporting of AI model-related reporting quantities. When not configured, the CSI report configuration is for CSI reporting of non-AI model-related reporting quantities. The above field names and data types are for illustrative purposes only and are not intended to limit the application itself.

[0160] For the parameter x indicating whether the CSI report is related to the AI ​​model, the terminal device can also implicitly infer the configuration of the CSI report amount configured in the CSI-reportConfig information element. For example, when the CSI report amount is a report amount related to AI model reasoning (such as: predicted L1-RSRP / L1-SINR or beam prediction probability information) or a report amount related to AI model performance monitoring (such as: AI model performance metric value), then the terminal device assumes that the CSI report is related to the AI ​​model; otherwise, the terminal assumes that the CSI report is not related to the AI ​​model.

[0161] In some examples of the fourth embodiment, the value of the CSI report priority Pri CSI It can be calculated by the following formula (3). CSI (y,k,c,s)=M y ·M k ·N cells ·M s ·x+M k ·N cells ·M s y+N cells ·M s k+ M s ·c+s (3)

[0162] Among them, x is a parameter indicating whether the CSI report is related to the AI ​​model. For example, when the CSI report is not related to the AI ​​model (for example, the second CSI report), x = 0; when the CSI report is related to the AI ​​model, x = 1. This application does not limit which CSI report corresponds to which value of x. For example, the above two CSI reports may also be: the CSI report related to the AI ​​model corresponds to x = 1 and the CSI report not related to the AI ​​model corresponds to x = 0. For example, x may also take other values, which are not listed here one by one.

[0163] M y-1 represents the maximum value of y. For example, the definition of y is the same as formula (1), M y =4.

[0164] k is a parameter indicating the amount of CSI reporting, M k -1 represents the maximum value of k. For CSI reports that carry L1-RSRP or L1-SINR (Signal to Interference plus Noise Ratio) and are not related to the AI ​​model, k = 0; for CSI reports that do not carry L1-RSRP or L1-SINR and are not related to the AI ​​model, k = 1; for CSI reports that carry reports related to AI model reasoning, k = 0; for CSI reports that carry reports related to AI model performance monitoring, k = 1; Here M k = 2. This application does not impose any restrictions on the value of k corresponding to the type of report quantity carried by the CSI report.

[0165] The definitions of other parameters in formula (3) are the same as those in formula (1).

[0166] In some other examples of the fourth embodiment, the value of the CSI report priority Pri CSI It can be calculated by the following formula (4). CSI (y,k,c,s)=M x ·M k ·N cells ·M s y+M k ·N cells ·M s x+N cells ·M s k+ M s ·c+s (4)

[0167] Among them, M x -1 represents the maximum value of x. For example, the definition of x is the same as formula (3), M x = 2. The definitions of other parameters in formula (4) are the same as those in formula (3).

[0168] In some other examples of the fourth embodiment, the value of the CSI report priority Pri CSI It can be calculated by the following formula (5). CSI (y,k,c,s)=M k ·M x ·N cells ·M s y+M x ·N cells ·M s k+Ncells ·M s ·x+ M s ·c+s (5)

[0169] In some other examples of the fourth embodiment, the value of the CSI report priority Pri CSI It can be calculated by the following formula (6). CSI (y,k,c,s)=M k ·N cells ·M x ·M s y+N cells ·M x ·M s k+M x ·M s c+M s · x+s (6)

[0170] In some further examples of the fourth embodiment, the value of the CSI report priority Pri CSI It can be calculated by the following formula (7). CSI (y,k,c,s)=M k ·N cells ·M s ·M x y+N cells ·M s ·M x k+M s ·M x c+M x · s+x (7)

[0171] The above is a description of the embodiments of the first aspect of the present application in combination with Embodiments 1 to 4. The above Embodiments 1 to 4 do not limit the implementation of the technical solution of the present application. For example, the above Embodiments 1 to 4 can be reasonably combined or modified.

[0172] According to an embodiment of the first aspect of the present application, a terminal device receives parameters of a first channel state information report related to an artificial intelligence model, and calculates a numerical value of the priority of the first channel state information report based on the parameters. Thus, a priority can be set for the CSI report related to the AI ​​model, thereby avoiding uncertainty in the behavior of the terminal device when reporting multiple CSI reports.

[0173] Embodiments of the second aspect

[0174] The embodiment of the second aspect provides a method for setting a channel state information report priority, which is applied to a network device, such as the network device 101 in Figure 1. For the parts of the embodiment of the second aspect that are the same as those of the embodiment of the first aspect, reference can be made to the description of the embodiment of the first aspect, and no repetition is given here.

[0175] FIG4 is a schematic diagram of a method for setting a channel state information report priority according to an embodiment of the second aspect. As shown in FIG4 , the method includes:

[0176] Operation 401: The network device configures relevant parameters of a channel state information (CSI) report for a terminal device, wherein the channel state information report includes a first channel state information report related to an artificial intelligence (AI) model, and the parameters are used to calculate a numerical value of a channel state information report priority; and

[0177] Operation 402: Receive a channel state information (CSI) report sent by the terminal device.

[0178] In at least some embodiments, the smaller the numerical value of the channel state information report priority, the higher the priority of the channel state information report.

[0179] In at least some embodiments, the channel state information (CSI) report also includes a second channel state information report that is not related to the artificial intelligence (AI) model, and the network device schedules the first channel state information report and the second channel state information report to be sent at different times.

[0180] In at least some embodiments, the channel state information (CSI) report also includes a second channel state information report that is not related to the artificial intelligence (AI) model, the network device schedules the simultaneous sending of the first channel state information report and the second channel state information report, the network device configures the first channel state information report priority value to be greater than the second channel state information report priority value, or the network device configures the second channel state information report priority value to be greater than the first channel state information report priority value.

[0181] In at least some embodiments, the network device schedules the first channel state information report of the bearer model reasoning related reporting quantity and the first channel state information report of the bearer model performance monitoring related reporting quantity to be sent at different times.

[0182] In some embodiments of operation 401, the parameter used to calculate the value of the channel state information report priority includes at least one of the following:

[0183] Parameter indicating the channel state information (CSI) report configuration identifier;

[0184] A parameter representing a serving cell index;

[0185] A parameter indicating the channel state information report quantity (CSI report quantity);

[0186] Parameter indicating the channel state information report configuration type (CSI report configuration type);

[0187] A parameter indicating whether the channel state information report is related to the artificial intelligence (AI) model.

[0188] In which, the channel state information report quantity (CSI report quantity) is related to the artificial intelligence (AI) model, for example, the channel state information report quantity (CSI report quantity) includes the predicted layer 1 reference signal received power (L1-RSRP) or layer 1 signal to interference plus noise ratio (L1-SINR), beam prediction probability information or model performance measurement, wherein the predicted layer 1 reference signal received power or layer 1 signal to interference plus noise ratio, or the beam prediction probability information is obtained by the terminal device through reasoning of the artificial intelligence (AI) model, and the performance measurement value of the model is obtained by the terminal device through performance monitoring of the artificial intelligence (AI) model.

[0189] Among them, the parameter indicating whether the channel state information report is related to the artificial intelligence (AI) model is used to indicate whether the channel state information report includes the channel state information (CSI) report amount related to the artificial intelligence (AI) model.

[0190] In some embodiments, for the calculation of the numerical value of the first channel state information report priority, the value of the parameter representing the channel state information report amount is the first value or the second value; or, for the calculation of the numerical value of the first channel state information report priority carrying the report amount related to artificial intelligence (AI) model reasoning, the value of the parameter representing the channel state information report amount is one of the first value and the second value, and for the calculation of the numerical value of the first channel state information report priority carrying the report amount related to artificial intelligence (AI) model performance monitoring, the value of the parameter representing the channel state information report amount is the other of the first value and the second value; or, for the calculation of the numerical value of the first channel state information report priority carrying the report amount related to artificial intelligence (AI) model reasoning, and for the calculation of the numerical value of the first channel state information report priority carrying the report amount related to artificial intelligence (AI) model performance monitoring, the value of the parameter representing the channel state information (CSI) report amount is both the first value or the second value, and the channel state information (CSI) report configuration identifier and / or service cell index and / or channel state information report configuration type configured by the network device are different.

[0191] In some embodiments, for the calculation of the numerical value of the first channel state information reporting priority, the value of the parameter representing the channel state information reporting amount is different from the first value and the second value, wherein, for the calculation of the numerical value of the second channel state information reporting priority that is not related to the artificial intelligence (AI) model, the value of the parameter representing the channel state information reporting amount is the first value or the second value.

[0192] In particular, for calculating the value of the first channel state information reporting priority that carries the amount of reports related to artificial intelligence (AI) model reasoning, the value of the parameter representing the amount of channel state information reports is a third value; and for calculating the value of the first channel state information reporting priority that carries the amount of reports related to artificial intelligence (AI) model performance monitoring, the value of the parameter representing the amount of channel state information reports is a fourth value. The third value and the fourth value are equal or unequal.

[0193] In some examples, the third value is equal to the fourth value, and for the calculation of the numerical value of the first channel state information report priority that carries the reporting amount related to artificial intelligence (AI) model reasoning, and for the calculation of the numerical value of the first channel state information report priority that carries the reporting amount related to artificial intelligence (AI) model performance monitoring, the channel state information (CSI) report configuration identifier and / or service cell index and / or channel state information report configuration type configured by the network device are different.

[0194] Embodiments of the third aspect

[0195] At least for the same problem as the embodiment of the first aspect, the embodiment of the third aspect of the present application provides a setting of channel state information reporting priority, which is applied to a terminal device and corresponds to the embodiment of the first aspect.

[0196] FIG5 is a schematic diagram of a device for setting a channel state information report priority according to an embodiment of the third aspect. As shown in FIG5 , the device 500 for setting a channel state information report priority includes: a first processing unit 501 .

[0197] The first processing unit 501 causes the terminal device to perform the following operations:

[0198] Receiving parameters related to a channel state information (CSI) report configured by a network device, wherein the channel state information report includes a first channel state information report related to an artificial intelligence (AI) model; and

[0199] A value of the channel state information report priority is calculated based on the parameter, and the priority of the channel state information (CSI) report is determined.

[0200] In some embodiments, the smaller the value of the channel state information report priority, the higher the priority of the channel state information report.

[0201] In some embodiments, the terminal device further performs the following operations:

[0202] The terminal device preferentially sends a channel state information (CSI) report with a high priority.

[0203] In some embodiments, the channel state information (CSI) report also includes a second channel state information report that is not related to the artificial intelligence (AI) model, and the terminal device expects that the first channel state information report and the second channel state information report are not sent at the same time; and / or

[0204] The terminal device expects that the first channel state information report of the bearer model reasoning related reporting quantity and the first channel state information report of the bearer model performance monitoring related reporting quantity are not sent at the same time.

[0205] In some embodiments, the channel state information (CSI) report also includes a second channel state information report that is not related to the artificial intelligence (AI) model. When the first channel state information report and the second channel state information report are sent at the same time, the terminal device expects that the numerical value of the first channel state information report priority is greater than the numerical value of the second channel state information report priority, or the terminal device expects that the numerical value of the second channel state information report priority is greater than the numerical value of the first channel state information report priority.

[0206] In some embodiments, the parameter used to calculate the value of the channel state information report priority includes at least one of the following:

[0207] Parameter indicating the channel state information (CSI) report configuration identifier;

[0208] A parameter representing a serving cell index;

[0209] A parameter indicating the channel state information report quantity (CSI report quantity);

[0210] Parameter indicating the channel state information report configuration type (CSI report configuration type);

[0211] A parameter indicating whether the channel state information report is related to the artificial intelligence (AI) model.

[0212] In some embodiments, the channel state information report quantity (CSI report quantity) is associated with an artificial intelligence (AI) model, wherein the channel state information report quantity (CSI report quantity) includes a predicted layer 1 reference signal received power (L1-RSRP) or a layer 1 signal to interference plus noise ratio (L1-SINR), probability information of beam prediction, or a performance metric of the model;

[0213] In which, the predicted layer 1 reference signal received power or layer 1 signal to interference plus noise ratio, or the probability information of the beam prediction is obtained by the terminal device through reasoning of an artificial intelligence (AI) model, and the performance metric value of the model is obtained by the terminal device through performance monitoring of the artificial intelligence (AI) model.

[0214] In some embodiments, the parameter indicating whether the channel state information report is related to an artificial intelligence (AI) model is used to indicate whether the channel state information report includes a channel state information (CSI) report amount related to the artificial intelligence (AI) model.

[0215] In some embodiments, for calculating the value of the first channel state information report priority, the value of the parameter representing the channel state information report amount is the first value or the second value; or

[0216] For calculation of the numerical value of the first channel state information reporting priority carrying the amount of reports related to artificial intelligence (AI) model reasoning, the value of the parameter representing the amount of channel state information reports is one of a first value and a second value; for calculation of the numerical value of the first channel state information reporting priority carrying the amount of reports related to artificial intelligence (AI) model performance monitoring, the value of the parameter representing the amount of channel state information reports is the other of the first value and the second value; or

[0217] For the calculation of the numerical value of the first channel state information reporting priority that carries the reporting amount related to artificial intelligence (AI) model reasoning, and for the calculation of the numerical value of the first channel state information reporting priority that carries the reporting amount related to artificial intelligence (AI) model performance monitoring, the values ​​of the parameters representing the channel state information (CSI) reporting amount are both the first value or the second value, and the terminal device expects that the channel state information (CSI) reporting configuration identifier and / or service cell index and / or channel state information reporting configuration type configured by the network device are different.

[0218] In some embodiments, for the calculation of the numerical value of the first channel state information reporting priority, the value of the parameter representing the channel state information reporting amount is different from the first value and the second value, wherein, for the calculation of the numerical value of the second channel state information reporting priority that is not related to the artificial intelligence (AI) model, the value of the parameter representing the channel state information reporting amount is the first value or the second value.

[0219] In some embodiments, for calculation of the value of the first channel state information reporting priority carrying a reporting amount related to artificial intelligence (AI) model reasoning, the value of the parameter representing the channel state information reporting amount is a third value;

[0220] For the calculation of the numerical value of the first channel state information report priority carrying the report quantity related to artificial intelligence (AI) model performance monitoring, the value of the parameter representing the channel state information report quantity is a fourth value, and the third value and the fourth value are equal or unequal.

[0221] In some embodiments, the third value is equal to the fourth value, and for the calculation of the numerical value of the first channel state information report priority carrying the reporting amount related to artificial intelligence (AI) model reasoning, and for the calculation of the numerical value of the first channel state information report priority carrying the reporting amount related to artificial intelligence (AI) model performance monitoring, the terminal device expects that the channel state information (CSI) report configuration identifier and / or service cell index and / or channel state information report configuration type configured by the network device are different.

[0222] In some embodiments, the value of the channel state information report priority is calculated based on a parameter x indicating whether the channel state information report is related to an artificial intelligence (AI) model.

[0223] In some embodiments, for the calculation of the numerical value of the first channel state information report priority, the value of the parameter x indicating whether the channel state information report is related to the artificial intelligence (AI) model is one of the fifth value and the sixth value; for the calculation of the numerical value of the second channel state information report priority that is not related to the artificial intelligence (AI) model, the value of the parameter x indicating whether the channel state information report is related to the artificial intelligence (AI) model is the other of the fifth value and the sixth value.

[0224] In some embodiments, the weight of at least one of the parameter s representing the channel state information (CSI) report configuration identifier, the parameter c representing the serving cell index, the parameter k representing the channel state information report quantity (CSI report quantity), and the parameter y representing the channel state information report configuration type (CSI report configuration type) is adjusted using the parameter x indicating whether the channel state information report is related to the artificial intelligence (AI) model to calculate the numerical value of the channel state information report priority.

[0225] Embodiments of the fourth aspect

[0226] An embodiment of the fourth aspect of the present application provides a device for setting the priority of channel state information reporting, which is applied to a network device and corresponds to the method of the embodiment of the second aspect.

[0227] FIG6 is a schematic diagram of a device for setting a channel state information report priority according to an embodiment of the fourth aspect. As shown in FIG6 , the device 600 for setting a channel state information report priority includes: a second processing unit 601 .

[0228] In at least one embodiment, the second processing unit 601 controls the network device to perform the following operations:

[0229] The network device configures, for the terminal device, parameters related to a channel state information (CSI) report, wherein the channel state information report includes a first channel state information report related to an artificial intelligence (AI) model, and the parameters are used to calculate a numerical value of a channel state information report priority; and

[0230] Receive a channel state information (CSI) report sent by the terminal device.

[0231] In at least some embodiments, the smaller the value of the channel state information report priority, the higher the priority of the channel state information report.

[0232] In at least some embodiments, the channel state information (CSI) report also includes a second channel state information report that is not related to the artificial intelligence (AI) model, and the network device schedules the first channel state information report and the second channel state information report to be sent at different times; and / or

[0233] The first channel state information report of the bearer model reasoning related reporting amount and the first channel state information report of the bearer model performance monitoring related reporting amount are not sent at the same time by the network device scheduling.

[0234] In at least some embodiments, the channel state information (CSI) report further includes a second channel state information report that is not associated with an artificial intelligence (AI) model, and the network device schedules simultaneous transmission of the first channel state information report and the second channel state information report;

[0235] The network device configures the first channel state information report priority value to be greater than the second channel state information report priority value, or the network device configures the second channel state information report priority value to be greater than the first channel state information report priority value.

[0236] In at least some embodiments, the parameter used to calculate the value of the channel state information report priority includes at least one of the following:

[0237] Parameter indicating the channel state information (CSI) report configuration identifier;

[0238] A parameter representing a serving cell index;

[0239] A parameter indicating the channel state information report quantity (CSI report quantity);

[0240] Parameter indicating the channel state information report configuration type (CSI report configuration type);

[0241] A parameter indicating whether the channel state information report is related to the artificial intelligence (AI) model.

[0242] In at least some embodiments, the channel state information report quantity (CSI report quantity) is associated with an artificial intelligence (AI) model, wherein the channel state information report quantity (CSI report quantity) includes a predicted layer 1 reference signal received power (L1-RSRP) or layer 1 signal to interference plus noise ratio (L1-SINR), probability information of beam prediction, or a performance metric of the model;

[0243] In which, the predicted layer 1 reference signal received power or layer 1 signal to interference plus noise ratio, or the probability information of the beam prediction is obtained by the terminal device through reasoning of an artificial intelligence (AI) model, and the performance metric value of the model is obtained by the terminal device through performance monitoring of the artificial intelligence (AI) model.

[0244] In at least some embodiments, the parameter indicating whether the channel state information report is related to an artificial intelligence (AI) model is used to indicate whether the channel state information report includes a channel state information (CSI) reporting amount related to the artificial intelligence (AI) model.

[0245] In at least some embodiments, for calculating the value of the first channel state information report priority, the value of a parameter representing the channel state information report amount is the first value or the second value; or

[0246] For calculation of the numerical value of the first channel state information reporting priority carrying the amount of reports related to artificial intelligence (AI) model reasoning, the value of the parameter representing the amount of channel state information reports is one of a first value and a second value; for calculation of the numerical value of the first channel state information reporting priority carrying the amount of reports related to artificial intelligence (AI) model performance monitoring, the value of the parameter representing the amount of channel state information reports is the other of the first value and the second value; or

[0247] For the calculation of the numerical value of the first channel state information reporting priority that carries the reporting amount related to artificial intelligence (AI) model reasoning, and for the calculation of the numerical value of the first channel state information reporting priority that carries the reporting amount related to artificial intelligence (AI) model performance monitoring, the values ​​of the parameters representing the channel state information (CSI) reporting amount are both the first value or the second value, and the channel state information (CSI) reporting configuration identifier and / or service cell index and / or channel state information reporting configuration type configured by the network device are different.

[0248] In at least some embodiments, for the calculation of the numerical value of the first channel state information reporting priority, the value of the parameter representing the channel state information reporting amount is different from the first value and the second value, wherein, for the calculation of the numerical value of the second channel state information reporting priority that is not related to the artificial intelligence (AI) model, the value of the parameter representing the channel state information reporting amount is the first value or the second value.

[0249] In at least some embodiments, for calculating the value of the first channel state information reporting priority that carries a reporting amount related to artificial intelligence (AI) model reasoning, the value of the parameter representing the channel state information reporting amount is a third value;

[0250] For the calculation of the numerical value of the first channel state information report priority carrying the report quantity related to artificial intelligence (AI) model performance monitoring, the value of the parameter representing the channel state information report quantity is a fourth value, and the third value and the fourth value are equal or unequal.

[0251] In at least some embodiments, the third value is equal to the fourth value, and for the calculation of the numerical value of the first channel state information report priority that carries the reporting amount related to artificial intelligence (AI) model reasoning, and for the calculation of the numerical value of the first channel state information report priority that carries the reporting amount related to artificial intelligence (AI) model performance monitoring, the channel state information (CSI) report configuration identifier and / or service cell index and / or channel state information report configuration type configured by the network device are different.

[0252] Embodiments of the fifth aspect

[0253] An embodiment of the fifth aspect of the present application provides a communication system, which may include a network device and a terminal device.

[0254] FIG7 is a schematic diagram of a terminal device according to an embodiment of the fifth aspect. As shown in FIG7 , the terminal device 700 (e.g., corresponding to the terminal device 102 in FIG1 ) may include a processor 710 and a memory 720; the memory 720 stores data and programs and is coupled to the processor 710. It should be noted that this diagram is exemplary; other types of structures may be used to supplement or replace this structure to implement telecommunication functions or other functions.

[0255] For example, the processor 710 may be configured to execute a program to implement the method in the embodiment of the first aspect.

[0256] As shown in Figure 7 , the terminal device 700 may further include: a communication module 730, an input unit 740, a display 750, and a power supply 760. The functions of these components are similar to those in the prior art and are not described in detail here. It is worth noting that the terminal device 700 does not necessarily include all of the components shown in Figure 7 , and these components are not essential. Furthermore, the terminal device 700 may also include components not shown in Figure 7 , for which reference may be made to the prior art.

[0257] FIG8 is a schematic diagram of a network device according to an embodiment of the fifth aspect. As shown in FIG8 , network device 800 (e.g., corresponding to network device 101 in FIG1 ) may include a processor 810 (e.g., a central processing unit (CPU)) and a memory 820; the memory 820 is coupled to the processor 810. The memory 820 may store various data and may also store an information processing program 830, which is executed under the control of the processor 810.

[0258] For example, the processor 810 can be configured to execute a program to implement the method as described in the embodiment of the second aspect.

[0259] In addition, as shown in FIG8 , network device 800 may further include: a transceiver 840 and an antenna 850, etc.; wherein, the functions of the above components are similar to those in the prior art and are not described in detail here. It is worth noting that network device 800 does not necessarily include all the components shown in FIG8 ; in addition, network device 800 may also include components not shown in FIG8 , and reference may be made to the prior art for details.

[0260] An embodiment of the present application also provides a computer program, wherein when the program is executed in a terminal device, the program causes the terminal device to execute the method described in the embodiment of the first aspect.

[0261] An embodiment of the present application also provides a storage medium storing a computer program, wherein the computer program enables a terminal device to execute the method described in the embodiment of the first aspect.

[0262] An embodiment of the present application also provides a computer program, wherein when the program is executed in a network device, the program causes the network device to execute the method described in the embodiment of the second aspect.

[0263] An embodiment of the present application also provides a storage medium storing a computer program, wherein the computer program enables a network device to execute the method described in the embodiment of the second aspect.

[0264] The above devices and methods of the present application can be implemented by hardware or by a combination of hardware and software. The present application relates to such a computer-readable program that, when executed by a logic component, enables the logic component to implement the devices or components described above, or enables the logic component to implement the various methods or steps described above. The present application also relates to a storage medium for storing the above program, such as a hard disk, a magnetic disk, an optical disk, a DVD, a flash memory, etc.

[0265] The method / device described in conjunction with the embodiments of the present application can be directly embodied as hardware, a software module executed by a processor, or a combination of the two. For example, one or more of the functional block diagrams shown in the figure and / or one or more combinations of functional block diagrams can correspond to various software modules of the computer program flow or to various hardware modules. These software modules can respectively correspond to the various steps shown in the figure. These hardware modules can be implemented by solidifying these software modules, for example, using a field programmable gate array (FPGA).

[0266] The software module may be located in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. A storage medium may be coupled to a processor so that the processor can read information from the storage medium and write information to the storage medium; or the storage medium may be an integral part of the processor. The processor and the storage medium may be located in an ASIC. The software module may be stored in the memory of the mobile terminal or in a memory card that can be inserted into the mobile terminal. For example, if the device (such as a mobile terminal) uses a large-capacity MEGA-SIM card or a large-capacity flash memory device, the software module may be stored in the MEGA-SIM card or the large-capacity flash memory device.

[0267] One or more of the functional blocks and / or one or more combinations of functional blocks described in the accompanying drawings may be implemented as a general-purpose processor, a digital signal processor (DSP), an application-specific integrated circuit (ASIC), a field-programmable gate array (FPGA) or other programmable logic device, a discrete gate or transistor logic device, a discrete hardware component, or any appropriate combination thereof for performing the functions described in this application. One or more of the functional blocks and / or one or more combinations of functional blocks described in the accompanying drawings may also be implemented as a combination of computing devices, such as a combination of a DSP and a microprocessor, multiple microprocessors, one or more microprocessors in communication with a DSP, or any other such configuration.

[0268] The present application has been described above in conjunction with specific embodiments. However, those skilled in the art should understand that these descriptions are merely illustrative and are not intended to limit the scope of protection of the present application. Those skilled in the art may make various modifications and variations to the present application based on the spirit and principles of the present application, and such modifications and variations are also within the scope of the present application.

[0269] Regarding the implementation methods including the above embodiments, the following additional notes are also disclosed:

[0270] 1. A method for setting a channel state information report priority, applied to a network device, wherein the method comprises:

[0271] The network device configures, for the terminal device, parameters related to a channel state information (CSI) report, wherein the channel state information report includes a first channel state information report related to an artificial intelligence (AI) model, and the parameters are used to calculate a numerical value of a channel state information report priority; and

[0272] Receive a channel state information (CSI) report sent by the terminal device.

[0273] 2. The method as described in Note 1, wherein:

[0274] The channel state information (CSI) report also includes a second channel state information report that is not related to an artificial intelligence (AI) model, and the network device schedules the first channel state information report and the second channel state information report to be sent at different times; and / or

[0275] The first channel state information report of the bearer model reasoning related reporting amount and the first channel state information report of the bearer model performance monitoring related reporting amount are not sent at the same time by the network device scheduling.

[0276] 3. The method as described in Note 1, wherein:

[0277] The channel state information (CSI) report also includes a second channel state information report not associated with an artificial intelligence (AI) model,

[0278] The network device schedules to send the first channel state information report and the second channel state information report simultaneously,

[0279] The network device configures the first channel state information report priority value to be greater than the second channel state information report priority value, or the network device configures the second channel state information report priority value to be greater than the first channel state information report priority value.

[0280] 4. The method as described in Note 1, wherein:

[0281] The parameter used to calculate the value of the channel state information report priority includes at least one of the following:

[0282] Parameter indicating the channel state information (CSI) report configuration identifier;

[0283] A parameter representing a serving cell index;

[0284] A parameter indicating the channel state information report quantity (CSI report quantity);

[0285] Parameter indicating the channel state information report configuration type (CSI report configuration type);

[0286] A parameter indicating whether the channel state information report is related to the artificial intelligence (AI) model.

[0287] 5. The method as described in Note 4, wherein:

[0288] The channel state information report quantity (CSI report quantity) is related to an artificial intelligence (AI) model,

[0289] The channel state information report quantity (CSI report quantity) includes the predicted layer 1 reference signal received power (L1-RSRP) or layer 1 signal to interference plus noise ratio (L1-SINR), beam prediction probability information or model performance metric,

[0290] In which, the predicted layer 1 reference signal received power or layer 1 signal to interference plus noise ratio, or the probability information of the beam prediction is obtained by the terminal device through reasoning of an artificial intelligence (AI) model, and the performance metric value of the model is obtained by the terminal device through performance monitoring of the artificial intelligence (AI) model.

[0291] 6. The method as described in Note 4, wherein:

[0292] The parameter indicating whether the channel state information report is related to the artificial intelligence (AI) model is used to indicate whether the channel state information report includes a channel state information (CSI) report amount related to the artificial intelligence (AI) model.

[0293] 7. The method as described in Supplement 4, wherein:

[0294] For calculation of the value of the first channel state information report priority, the value of the parameter representing the channel state information report amount is the first value or the second value; or

[0295] For calculation of the numerical value of the first channel state information reporting priority carrying the amount of reports related to artificial intelligence (AI) model reasoning, the value of the parameter representing the amount of channel state information reports is one of a first value and a second value; for calculation of the numerical value of the first channel state information reporting priority carrying the amount of reports related to artificial intelligence (AI) model performance monitoring, the value of the parameter representing the amount of channel state information reports is the other of the first value and the second value; or

[0296] For the calculation of the numerical value of the first channel state information reporting priority that carries the reporting amount related to artificial intelligence (AI) model reasoning, and for the calculation of the numerical value of the first channel state information reporting priority that carries the reporting amount related to artificial intelligence (AI) model performance monitoring, the value of the parameter representing the channel state information (CSI) reporting amount is the first value or the second value, and the channel state information (CSI) reporting configuration identifier and / or service cell index and / or channel state information reporting configuration type configured by the network device are different.

[0297] 8. The method as described in Note 4, wherein:

[0298] For calculation of the value of the first channel state information report priority, the value of the parameter representing the channel state information report amount is different from the first value and the second value,

[0299] In which, for the calculation of the numerical value of the second channel state information reporting priority that is not related to the artificial intelligence (AI) model, the value of the parameter representing the channel state information reporting amount is the first value or the second value.

[0300] 9. The method as described in Supplementary Note 8, wherein:

[0301] For calculation of the value of the first channel state information reporting priority that carries the amount of reporting related to artificial intelligence (AI) model reasoning, the value of the parameter representing the amount of channel state information reporting is a third value;

[0302] For the calculation of the numerical value of the first channel state information report priority carrying the report quantity related to artificial intelligence (AI) model performance monitoring, the value of the parameter representing the channel state information report quantity is a fourth value, and the third value and the fourth value are equal or unequal.

[0303] 10. The method as described in Supplementary Note 9, wherein:

[0304] The third value is equal to the fourth value, and

[0305] For the calculation of the numerical value of the first channel state information reporting priority that carries the reporting amount related to artificial intelligence (AI) model reasoning, and for the calculation of the numerical value of the first channel state information reporting priority that carries the reporting amount related to artificial intelligence (AI) model performance monitoring, the channel state information (CSI) reporting configuration identifier and / or service cell index and / or channel state information reporting configuration type configured by the network device are different.

Claims

1. A device for setting the priority of channel state information reporting, which is applied to a terminal device, wherein, The device includes a first processing unit, and the first processing unit controls the terminal device to perform the following operations: Receive parameters related to the channel state information report configured by the network device, where the channel state information report includes a first channel state information report related to the artificial intelligence model; and Calculate a value of the priority of the channel state information report based on the parameters, and determine the priority of the channel state information report.

2. The device according to claim 1, wherein The smaller the value of the priority of the channel state information report, the higher the priority of the channel state information report.

3. The device according to claim 1, wherein The terminal device further performs the following operations: The terminal device preferentially sends a channel state information report with a higher priority.

4. The device according to claim 3, wherein The channel state information report further includes a second channel state information report not related to the artificial intelligence model, and the terminal device expects that the first channel state information report and the second channel state information report are not sent simultaneously; and / or The terminal device expects that the first channel state information report carrying the report volume related to model inference and the first channel state information report carrying the report volume related to model performance monitoring are not sent simultaneously.

5. The device according to claim 3, wherein The channel state information report further includes a second channel state information report not related to the artificial intelligence model, In the case of sending the first channel state information report and the second channel state information report simultaneously, The terminal device expects that the value of the priority of the first channel state information report is greater than the value of the priority of the second channel state information report, or the terminal device expects that the value of the priority of the second channel state information report is greater than the value of the priority of the first channel state information report.

6. The device according to claim 1, wherein The parameters for calculating the value of the priority of the channel state information report include at least one of the following: A parameter representing the configuration identifier of the channel state information report; A parameter representing the serving cell index; A parameter representing the amount of the channel state information report; A parameter representing the configuration type of the channel state information report; A parameter representing whether the channel state information report is related to the artificial intelligence model.

7. The device according to claim 6, wherein The amount of the channel state information report is related to the artificial intelligence model, wherein the amount of the channel state information report includes the predicted layer 1 reference signal received power or layer 1 signal-to-interference-plus-noise ratio, the probability information of beam prediction, or the performance metric of the model, wherein the predicted layer 1 reference signal received power or layer 1 signal-to-interference-plus-noise ratio, or the probability information of beam prediction is obtained by the terminal device through the inference of the artificial intelligence model, and the performance metric value of the model is obtained by the terminal device through the performance monitoring of the artificial intelligence model.

8. The device according to claim 6, wherein The parameter indicating whether the channel state information report is related to the artificial intelligence model is used to indicate whether the channel state information report includes the amount of channel state information report related to the artificial intelligence model.

9. The apparatus according to claim 6, wherein For the calculation of the value of the first channel state information report priority, the value of the parameter representing the amount of channel state information report is the first value or the second value; or For the calculation of the value of the first channel state information report priority for carrying the amount of report related to artificial intelligence model inference, the value of the parameter representing the amount of channel state information report is one of the first value and the second value, and for the calculation of the value of the first channel state information report priority for carrying the amount of report related to artificial intelligence model performance monitoring, the value of the parameter representing the amount of channel state information report is the other of the first value and the second value; Or For the calculation of the value of the first channel state information report priority for carrying the amount of report related to artificial intelligence model inference, and for the calculation of the value of the first channel state information report priority for carrying the amount of report related to artificial intelligence model performance monitoring, the value of the parameter representing the amount of channel state information report is the first value or the second value, and the terminal device expects that the channel state information report configuration identifier and / or serving cell index and / or channel state information report configuration type configured by the network device are different.

10. The apparatus according to claim 6, wherein For the calculation of the value of the first channel state information report priority, the value of the parameter representing the amount of channel state information report is different from the first value and the second value, wherein, for the calculation of the value of the second channel state information report priority not related to the artificial intelligence model, the value of the parameter representing the amount of channel state information report is the first value or the second value.

11. The apparatus according to claim 10, wherein For the calculation of the value of the first channel state information report priority for carrying the amount of report related to artificial intelligence model inference, the value of the parameter representing the amount of channel state information report is the third value; For the calculation of the value of the first channel state information report priority for carrying the amount of report related to artificial intelligence model performance monitoring, the value of the parameter representing the amount of channel state information report is the fourth value, and the third value and the fourth value are equal or not equal.

12. The apparatus according to claim 11, wherein The third value is equal to the fourth value, and For the calculation of the value of the first channel state information report priority for carrying the amount of report related to artificial intelligence model inference, and for the calculation of the value of the first channel state information report priority for carrying the amount of report related to artificial intelligence model performance monitoring, the terminal device expects that the channel state information report configuration identifier and / or serving cell index and / or channel state information report configuration type configured by the network device are different.

13. The apparatus according to claim 6, wherein The value of the channel state information report priority is calculated based on the parameter indicating whether the channel state information report is related to the artificial intelligence model.

14. The apparatus according to claim 13, wherein for the calculation of the value of the first channel state information reporting priority, the value of the parameter indicating whether the channel state information report is related to the artificial intelligence model is one of a fifth value and a sixth value, for the calculation of the value of the second channel state information reporting priority that is not related to the artificial intelligence model, the value of the parameter indicating whether the channel state information report is related to the artificial intelligence model is the other of the fifth value and the sixth value.

15. The apparatus according to claim 14, wherein using the parameter indicating whether the channel state information report is related to the artificial intelligence model to adjust the weight of at least one of the parameter indicating the channel state information report configuration identifier, the parameter indicating the serving cell index, the parameter indicating the amount of channel state information report, and the parameter indicating the channel state information report configuration type, to calculate the value of the channel state information reporting priority. The apparatus includes a second processing unit, and the second processing unit controls the network device to cause the network device to perform the following operations:

16. A device for setting the priority of channel state information reporting, which is applied to a network device, wherein, The network device configures parameters related to the channel state information report for the terminal device, wherein the channel state information report includes a first channel state information report related to the artificial intelligence model, and the parameters are used to calculate the value of the channel state information reporting priority; and receive the channel state information report sent by the terminal device.

17. The apparatus according to claim 16, wherein the channel state information report further includes a second channel state information report that is not related to the artificial intelligence model, and the network device schedules the first channel state information report and the second channel state information report not to be sent simultaneously; and / or the network device schedules the first channel state information report carrying the report amount related to model inference and the first channel state information report carrying the report amount related to model performance monitoring not to be sent simultaneously.

18. The apparatus according to claim 16, wherein the channel state information report further includes a second channel state information report that is not related to the artificial intelligence model, the network device schedules to send the first channel state information report and the second channel state information report simultaneously, the network device configures the value of the first channel state information reporting priority to be greater than the value of the second channel state information reporting priority, or the network device configures the value of the second channel state information reporting priority to be greater than the value of the first channel state information reporting priority.

19. The apparatus according to claim 16, wherein the parameters for calculating the value of the channel state information reporting priority include at least one of the following: a parameter indicating the channel state information report configuration identifier; a parameter indicating the serving cell index; a parameter indicating the amount of channel state information report; a parameter indicating the channel state information report configuration type; a parameter indicating whether the channel state information report is related to the artificial intelligence model.

20. The apparatus according to claim 19, wherein the amount of the channel state information report is related to the artificial intelligence model, ​ Among them, the channel state information reporting amount includes the predicted layer 1 reference signal receiving power or layer 1 signal-to-interference-plus-noise ratio, the probability information of beam prediction, or the performance metric of the model. Among them, the predicted layer 1 reference signal receiving power or layer 1 signal-to-interference-plus-noise ratio, or the probability information of the beam prediction is obtained by the inference of the artificial intelligence model by the terminal device, and the performance metric value of the model is obtained by the performance monitoring of the artificial intelligence model by the terminal device.

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