Method and apparatus for determining calculation time of channel state information, and communication system

Abstract

Provided in the embodiments of the present application are a method and apparatus for determining the calculation time of channel state information, and a communication system. The apparatus for determining the calculation time of channel state information is applied to a terminal device. The apparatus comprises a first processing unit, which is used for controlling a terminal device, such that the terminal device performs the following operation: receiving downlink control information (DCI) sent by a network device and used for triggering an aperiodic channel state information (CSI) report, wherein the channel state information report comprises a first channel state information report, which is used for carrying first channel state information related to an artificial intelligence (AI) model; and determining a first calculation time of the first channel state information.

Description

Method, device and communication system for determining calculation time of channel state information 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] For conventional non-periodic channel state information reporting (CSI reporting), the 3rd Generation Partnership Project (3GPP) standard defines a CSI calculation time.

[0007] When the simulated beam (pair) is predicted in the spatial or temporal domain using the terminal-side AI model, compared to non-AI-related beam measurement and reporting, during model inference, due to the high inference complexity of the AI ​​model, when the terminal device prepares the CSI report, the corresponding CSI calculation time depends on the processing capability of the terminal device. If the terminal processing capability is sufficient, then the AI-related CSI calculation time can be the same as or even less than the non-AI-related CSI calculation time. However, if the terminal processing capability is insufficient, then the AI-related CSI calculation time will be longer.

[0008] The inventors of the present application have discovered that the current standard does not have a relevant definition on how to determine the CSI calculation time and the corresponding terminal behavior when using an AI model for beam (pair) prediction.

[0009] 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 determining the calculation time of channel state information.

[0010] According to one aspect of an embodiment of the present application, there is provided an apparatus for determining a calculation time of channel state information, which is applied to a terminal device. The apparatus includes a first processing unit that controls the terminal device to cause the terminal device to perform the following operations:

[0011] receiving downlink control information (DCI) sent by a network device for triggering an aperiodic channel state information (CSI) report, wherein the channel state information report includes a first channel state information report, and the first channel state information report is used to carry first channel state information related to an artificial intelligence (AI) model; and

[0012] A first calculation time of the first channel state information is determined.

[0013] According to another aspect of an embodiment of the present application, there is provided an apparatus for determining a calculation time of channel state information, which is applied to a network device. The apparatus includes a second processing unit, which controls the network device to cause the network device to perform the following operations:

[0014] receiving a capability report of the terminal device sent by the terminal device, the capability report including a first calculation time or additional calculation time for first channel state information related to an artificial intelligence (AI) model determined by the terminal device, where the first calculation time is obtained by adding the additional calculation time to a second calculation time for second channel state information not related to the artificial intelligence (AI) model; and

[0015] Downlink control information (DCI) for triggering a non-periodic channel state information (CSI) report is sent to the terminal device, wherein the channel state information report includes a first channel state information report for carrying the first channel state information.

[0016] One of the beneficial effects of the embodiments of the present application is that: the present application provides a method for determining the non-periodic CSI calculation time related to the AI ​​model and the corresponding terminal behavior, so that when the network device performs non-periodic CSI report scheduling, the terminal device can provide a valid CSI report.

[0017] 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.

[0018] 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.

[0019] 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

[0020] 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.

[0021] FIG1 is a schematic diagram of a communication system of the present application;

[0022] 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;

[0023] FIG3 is a schematic diagram illustrating the requirements for CSI calculation time corresponding to aperiodic CSI reporting;

[0024] FIG4 is a schematic diagram of a method for determining a calculation time of channel state information in an embodiment of the first aspect;

[0025] FIG5 is a schematic diagram of the capability query and capability reporting process;

[0026] FIG6 is a schematic diagram of a calculation time for determining channel state information according to an embodiment of the second aspect;

[0027] FIG7 is a schematic diagram of an apparatus for determining a calculation time of channel state information according to an embodiment of the third aspect;

[0028] FIG8 is a schematic diagram of an apparatus for determining a calculation time of channel state information according to an embodiment of the fourth aspect;

[0029] FIG9 is a schematic diagram of a terminal device according to an embodiment of the fifth aspect;

[0030] FIG10 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 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.

[0054] 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.

[0055] 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.

[0056] 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 ).

[0057] The following is a description with reference to the accompanying drawings and embodiments.

[0058] Embodiments of the first aspect

[0059] For traditional non-periodic channel state information reporting (CSI reporting), the 3GPP standard defines the CSI calculation time.

[0060] When the CSI request field in the downlink control information (DCI) format triggers the reporting of CSI Report(s) on the physical uplink shared channel (PUSCH), for the n-th triggered report, the terminal device (e.g., UE) shall provide valid CSI report information:

[0061] If the starting symbol time of the uplink channel carrying the corresponding CSI report(s) (including the effect of TA) is not earlier than symbol Z ref ; And, if the starting symbol time of the uplink channel carrying the n-th CSI report (including the influence of TA) is not earlier than symbol Z' ref (n). TA represents timing advance.

[0062] in:

[0063] Zref is defined as the time T after the end of the last symbol of the physical downlink control channel (PDCCH) that triggers the CSI report(s). proc,CSI =(Z)(2048+144)·κ2 -μ ·T C +T switch The first uplink symbol of the time interval (including the cyclic prefix CP);

[0064] Z' ref (n) is defined as the time T' after the end of the last symbol of the following type of measurement signal for the n-th triggered CSI reportproc,CSI =(Z')(2048+144)·κ2 -μ ·T C The first uplink symbol of the time interval (including CP).

[0065] Among them, T switch is the switching time for uplink transmission, for details, please refer to the relevant technology; Tc is a constant, its value is T c =1(Δf max ·N f ), where Δf max =480·10 3 , N f =4096; K ​​is also a constant (e.g. k=64);

[0066] The definitions of Z, Z' and μ are as follows:

[0067] Where M is the number of updated CSI reports(s), and μ is min(μ PDCCH ,μ CSI-RS ,μ UL ), where μ PDCCH is the subcarrier spacing (SCS) of the PDCCH that transmits DCI, μ CSI-RS is the minimum subcarrier spacing (SCS) of the DCI-triggered aperiodic channel state information reference signal (CSI-RS), μ UL is the subcarrier spacing (SCS) of the PUSCH that transmits the CSI report.

[0068] (Z(m),Z′(m)) corresponds to the m-th updated CSI report and is defined as follows for beam management:

[0069] If the CSI to be transmitted corresponds to a wideband frequency-domain granularity, where reportQuantity is set to 'ssb-Index-SINR', 'cri-SINR', 'ssb-Index-SINR-Index', or 'cri-SINR-Index', its value is (Z1, Z′1) in Table 1;

[0070] If reportQuantity is set to 'cri-RSRP', 'ssb-Index-RSRP', 'cri-RSRP-Index', or 'ssb-Index-RSRP-Index', its value is (Z3, Z′3) in Table 1.

[0071] Table 1

[0072] Where Xμ is given a specific value by beamReportTiming based on the capability reported by the terminal device, KB l (For example, KB1, KB2, KB3, KB4) are given specific values ​​by beamSwitchTiming based on the capability reported by the terminal device.

[0073] When a network device schedules aperiodic CSI reporting by configuring the CSI request field in the DCI format, it must meet the CSI calculation time requirements corresponding to the aperiodic CSI reporting. Figure 3 is a schematic diagram of meeting the CSI calculation time requirements corresponding to the aperiodic CSI reporting.

[0074] As shown in Figure 3, the time point of the non-periodic CSI reporting scheduled by the network device, that is, the starting symbol time of the uplink channel carrying the corresponding CSI report(s) (including the influence of TA), needs to meet Z ref and Z' ref As shown in Figure 3 (a) and (b), the time point of the non-periodic CSI reporting scheduled by the network device needs to meet the following requirements: ref and Z' ref The later time point is used as the benchmark, and the network device can receive a valid CSI report later than the benchmark.

[0075] On the other hand, the network device schedules aperiodic CSI reporting by configuring the CSI request field in the DCI format. Related technologies also define the behavior of the terminal when the network device's scheduling does not meet the CSI calculation time.

[0076] When the CSI request field in the DCI format triggers the reporting of CSI Report(s) on the PUSCH, if the start symbol time (including the effect of TA) of the uplink channel carrying the corresponding CSI report(s) is earlier than symbol Z ref If there is no hybrid automatic repeat request acknowledgment (HARQ-ACK) information or no transport block (TB) data multiplexed on the PUSCH, the terminal device ignores the DCI scheduled this time.

[0077] When the CSI request field in the DCI format triggers the reporting of CSI Report(s) on the PUSCH, if the start symbol time of the uplink channel carrying the nth CSI report (including the effect of TA) is earlier than symbol Z' ref (n):

[0078] If only one CSI report is triggered and there is no HARQ-ACK information or no TB data multiplexed on the PUSCH, the terminal device ignores the DCI scheduled this time;

[0079] Otherwise, the terminal device does not need to update the CSI information corresponding to the nth CSI report.

[0080] When using a terminal-side AI model to predict beams (pairs) in the spatial or temporal domain, the high complexity of the AI ​​model means that the time required for the terminal to calculate the CSI associated with the AI ​​model, compared to non-AI-related beam measurements, depends on the terminal's processing capabilities. Therefore, determining the CSI calculation time and corresponding terminal behavior when using AI models for beam (pair) prediction is a problem that needs to be solved.

[0081] In order to solve the above problems, an embodiment of the first aspect of the present application provides a method for determining the calculation time of channel state information, which is applied to a terminal device, for example, the terminal device 102 shown in Figure 1.

[0082] FIG4 is a schematic diagram of a method for determining a calculation time of channel state information in an embodiment of the first aspect. As shown in FIG4 , the method for determining a calculation time of channel state information includes:

[0083] Operation 401: Receive downlink control information (DCI) sent by a network device for triggering an aperiodic channel state information (CSI) report, wherein the channel state information report includes a first channel state information report, and the first channel state information report is used to carry first channel state information related to an artificial intelligence (AI) model; and

[0084] Operation 402: Determine a first calculation time for the first channel state information.

[0085] According to an embodiment of the first aspect, the terminal device determines a first calculation time of first channel state information related to the AI ​​model, thereby enabling the terminal device to provide a valid CSI report when using the AI ​​model for beam (pair) prediction.

[0086] As shown in FIG4 , the method for determining the calculation time of the channel state information may further include:

[0087] Operation 403: Receive configuration information of the channel state information report sent by the network device, where the configuration information at least includes a report quantity.

[0088] Among them, the reporting quantity related to the first channel state information report includes the predicted layer 1 reference signal received power (L1-RSRP) or layer 1 signal to interference plus noise ratio (L1-SINR) or probability information of beam prediction and reference signal resource indication, or performance measurement of the model.

[0089] 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 measurement value of the model is obtained by the terminal device through performance monitoring of the artificial intelligence (AI) model.

[0090] In at least some embodiments, the first calculation time calculated in operation 402 is greater than or equal to a second calculation time. The second calculation time is a calculation time for second channel state information that is not related to an artificial intelligence (AI) model. For example, the second calculation time may be a calculation time for CSI defined for conventional non-periodic channel state information reporting. The second calculation time may be determined based on Table 1 above.

[0091] In some embodiments of operation 402 , the first computing time may be obtained by adding additional computing time to the second computing time.

[0092] For example, for different report quantities associated with the first channel state report, the first calculation time is the same or different, or the additional calculation time is the same or different.

[0093] The unit of the first calculation time or the additional calculation time is, for example, an orthogonal frequency division multiplexing (OFDM) symbol, or a time slot, or a subframe, or a sampling point, and the first calculation time or the additional calculation time may correspond to a subcarrier spacing (SCS). The subcarrier spacing is the minimum value among the subcarrier spacing of the physical downlink control channel (PDCCH) for transmitting the downlink control information (DCI) in operation 401, the minimum subcarrier spacing of the aperiodic channel state information reference signal (CSI-RS) triggered by the downlink control information (DCI), and the subcarrier spacing of the physical uplink shared channel (PUSCH) for transmitting the channel state information report.

[0094] As shown in FIG4 , the method for determining the calculation time of the channel state information may further include:

[0095] Operation 404: Send the capability report of the terminal device to the network device.

[0096] The capability report includes the first computing time or the additional computing time.

[0097] In some examples, the capability report may include multiple first calculation times or multiple additional calculation times, where each first calculation time or additional calculation time corresponds to a reporting amount of the first channel state information report, that is, the first calculation time or additional calculation time corresponding to the reporting amount may be determined based on the reporting amount. In this way, the first calculation time or additional calculation time corresponding to the reporting amount can be determined based on the different computational complexities of the CSI caused by different reporting amounts.

[0098] In some examples, the capability report includes multiple first computing times or multiple additional computing times, wherein each first computing time or additional computing time corresponds to a respective artificial intelligence (AI) model or a respective artificial intelligence (AI) function. That is, the first computing time or additional computing time can be determined for each artificial intelligence (AI) model or artificial intelligence (AI) function. Thus, based on the different computational complexities of the CSI caused by different artificial intelligence (AI) models or artificial intelligence (AI) functions, the first computing time or additional computing time corresponding to the artificial intelligence (AI) model or artificial intelligence (AI) function can be determined.

[0099] In which, the network device or the terminal device can identify the artificial intelligence (AI) model or the function of artificial intelligence (AI) (for example, identifying the artificial intelligence (AI) model or the function of artificial intelligence (AI) through an identification process), thereby determining the artificial intelligence (AI) model or the function of artificial intelligence (AI), and then determining the corresponding first computing time or additional computing time.

[0100] In the present application, the above examples can also be combined. For example, if there is an artificial intelligence (AI) model or an artificial intelligence (AI) function corresponding to multiple (for example, more than 2) report quantities of the first channel state information report, then each report quantity can have a corresponding first calculation time or additional calculation time.

[0101] As shown in FIG4 , the method for determining the calculation time of the channel state information may further include:

[0102] Operation 405: Receive configuration information of the channel state information report sent by the network device, where the configuration information includes at least identification information of the artificial intelligence (AI) model or the function of the artificial intelligence (AI), or the first computing time or the additional computing time corresponding to the artificial intelligence (AI) model or the function of the artificial intelligence (AI).

[0103] Through operation 405, the terminal device can determine an artificial intelligence (AI) model or an artificial intelligence (AI) function based on the configuration information sent by the network device, or determine a first computing time or additional computing time corresponding to the artificial intelligence (AI) model or the artificial intelligence (AI) function.

[0104] In at least one embodiment, the configuration information of operation 403 and the configuration information of operation 405 may be configured by the network device through radio resource control (RRC) signaling, so operation 403 and operation 405 may be different steps or may be combined into one step.

[0105] As shown in FIG4 , the method for determining the calculation time of the channel state information may further include:

[0106] Operation 406: The start symbol time of the uplink channel carrying the first channel state information report meets the first calculation time requirement, and the terminal device sends the first channel state information report to the network device; or

[0107] Operation 407: The starting symbol time of the uplink channel carrying the first channel state information report does not meet the requirement of the first calculation time, and the terminal device ignores the downlink control information (DCI) used to trigger the non-periodic channel state information (CSI) report or does not update the corresponding channel state information (CSI) report.

[0108] As shown in FIG4 , the method for determining the calculation time of the channel state information may further include:

[0109] Operation 408: Optionally, receive medium access control element (MAC CE) information of a triggering status of a sub-select aperiodic channel state information report sent by a network device.

[0110] In some embodiments, operation 408 may be between operation 403 (or operation 405 ) and operation 401 .

[0111] In the present application, radio resource control (RRC) signaling configures a trigger state list for aperiodic CSI reporting. For example, the trigger state list may be CSI-AperiodicTriggerStateList. Optionally, the MAC CE received in operation 408 may sub-select a portion of states in the trigger state list, and then, downlink control information (DCI) (for example, the downlink control information received in operation 401) indicates one of the states.

[0112] In this application, the order of the operations in FIG4 is only an example and the application is not limited thereto. For example, the order of operations 403, 404, and 405 can be changed; operations 403, 404, and 405 can be performed after operation 401, etc.

[0113] Below, this application is further described with reference to specific embodiments.

[0114] Example 1

[0115] When the simulated beam (pair) is predicted in the spatial or time domain through the terminal-side AI model, in the model inference stage, the terminal device reports the output of the model to the network device, and the reported quantity can be the predicted L1-RSRP / L1-SINR or the probability information of the beam prediction (for example, the probability that a predicted beam is the optimal beam) and the reference signal resource indication, where the reference signal resource indication is, for example: channel state information reference signal resource indication (CRI) or synchronization signal block resource indication (SSB-RI).

[0116] When the AI-related CSI report (i.e., the first channel state information report) is configured as a non-periodic report, if the processing capability of the terminal device is insufficient, the terminal device uses a longer time (i.e., the first calculation time) to calculate the CSI, thereby further enhancing the Z and Z' required for the CSI calculation time.

[0117] When the reported quantity is the predicted L1-SINR and the reference signal resource indication, in some examples, a column may be added to Table 1, such as Z4[symbols], to form Table 1a. The added column is used for Z and Z' required for the terminal device to calculate the predicted L1-SINR. That is, if the reported quantity is related to the AI ​​model, and the reported quantity field (for example, reportQuantity) is 'predicted CRI-SINR' or 'predicted ssb-Index-SINR', its value is (Z4, Z'4) in Table 1a; the numerical value of (Z4, Z'4) corresponds to μ one-to-one and is larger than (Z1, Z'1). The unit is the number of symbols, or the number of time slots, the number of subframes, or the number of sampling points. The specific unit and numerical value are not limited in this application.

[0118] Table 1a

[0119] Alternatively, additional calculation time can be added to the predicted L1-SINR based on Table 1. For example, for the calculation time corresponding to each μ in (Z1, Z′1) in Table 1, an additional Yμ is added. When the reported amount is the measured 'CRI-SINR' or 'ssb-Index-SINR', that is, the reported amount obtained by traditional beam measurement (non-AI model related), Yμ=0, when the reported amount is 'predicted CRI-SINR' or 'predicted ssb-Index-SINR', Yμ≠0, its value corresponds to μ one-to-one, and the unit is the number of symbols, or the number of time slots, the number of subframes, or the number of sampling points. The specific units and values ​​are not limited in this application, as shown in Table 2.

[0120] Table 2

[0121] If the processing capability of the terminal device is sufficient, for example, the terminal device is able to complete the calculation of the AI ​​model-related CSI within the non-AI model-related CSI calculation time (i.e., the second calculation time) defined by the existing standard, then (Z1, Z′1) in Table 1 can be used as the AI ​​model-related CSI calculation time. That is, if the CSI to be transmitted corresponds to a wideband frequency domain granularity, where reportQuantity is set to 'ssb-Index-SINR', 'cri-SINR', 'predicted cri-SINR', 'predicted ssb-Index-SINR', 'ssb-Index-SINR-Index', or 'cri-SINR-Index', its value is (Z1, Z′1) in Table 1. In addition, for the addition of additional Yμ, if the terminal device is able to complete the calculation of the AI ​​model-related CSI within the non-AI model-related CSI calculation time defined by the existing standard, then Yμ = 0, that is, the additional calculation time is 0.

[0122] In addition, for the terminal device, the time required for calculating the CSI related to the AI ​​model (i.e., the first calculation time) depends on its own capabilities. The terminal device can determine the time required for the predicted L1-SINR and the additional calculation time that needs to be added based on its own capabilities.

[0123] When the reported quantity is the predicted L1-RSRP and the reference signal resource indicator, in some examples, if the processing power of the terminal device is insufficient, the terminal device takes a longer time to calculate the CSI. In this case, a column (such as Z5[symbols]) can be added to Table 1 to be used for the Z and Z' required when the terminal device calculates the predicted L1-RSRP. For example, the format of Z5[symbols] can refer to Z4[symbols] in Table 1a. That is, if the reported quantity is related to the AI ​​model, and reportQuantity is 'predicted CRI-RSRP' or 'predicted ssb-Index-RSRP', its value is (Z5, Z'5) in the newly added column, where the value of (Z5, Z'5) corresponds one-to-one to μ and is greater than (Z3, Z'3). The unit is the number of symbols, or the number of time slots, the number of subframes, or the number of sampling points. The specific unit and value are not limited in this application.

[0124] Alternatively, in other examples, additional calculation time may be added to Table 1 for the predicted L1-RSRP. For example, in the calculation time corresponding to each μ in (Z3, Z′3) of Table 1, an additional Kμ is added, forming a form such as Table 3. When the reported amount is the measured 'CRI-RSRP' or 'ssb-Index-RSRP', that is, the reported amount obtained by traditional beam measurement (not AI model related), Kμ = 0. When the reported amount is 'predicted CRI-RSRP' or 'predicted ssb-Index-RSRP', Kμ ≠ 0. The Kμ value corresponds to μ one-to-one, and the unit is the number of symbols, or the number of time slots, the number of subframes, or the number of sampling points. The specific units and values ​​are not limited in this application.

[0125] Table 3

[0126] If the processing capability of the terminal device is sufficient, for example, the terminal device is able to complete the calculation of the AI ​​model-related CSI within the non-AI model-related CSI calculation time (i.e., the second calculation time) defined by the existing standard, then (Z3, Z′3) in Table 1 can be used as the AI ​​model-related CSI calculation time (i.e., the first calculation time). That is, if reportQuantity is set to 'cri-RSRP', 'predicted cri-RSRP', 'predicted ssb-Index-RSRP', 'ssb-Index-RSRP', 'cri-RSRP-Index', or 'ssb-Index-RSRP-Index', its value is (Z3, Z′3) in Table 1. In addition, for the addition of additional Kμ, if the terminal device is able to complete the calculation of the AI ​​model-related CSI within the non-AI model-related CSI calculation time defined by the existing standard, Kμ=0.

[0127] In addition, for the terminal-side model, the time required to calculate the CSI related to the AI ​​model depends on its own capabilities. The terminal device can determine the time required to predict the L1-RSRP and the additional calculation time that needs to be added based on its own capabilities.

[0128] In addition, when the reported quantity is the probability information of beam prediction and the reference signal resource indication, its implementation is similar to the above two examples (for example, adding a new column to Table 1, or adding a value corresponding to the additional calculation time to Table 1), and it is not repeated here. It should be noted that when adding additional calculation time (for example, adding a value corresponding to the additional calculation time), Table 2 or Table 3 can be used, or Z can be newly defined. m .

[0129] Similarly, for the model performance metric values ​​corresponding to model monitoring, the reported quantities can be L1-RSRP / L1-SINR estimation error, beam prediction accuracy, frame error rate, throughput, etc. The implementation methods are similar to the above two examples and are not described here one by one.

[0130] It should be noted that since the complexity of the model is different for different reporting quantities, the time required for CSI calculation or the additional calculation time required may be different, and this application does not impose any restrictions.

[0131] Example 2

[0132] As described in Example 1, the terminal device can determine the time required for calculation of the predicted and AI-related report amount (i.e., the first calculation time) and / or the additional calculation time that needs to be added based on its own capabilities. For non-periodic reports, the network device schedules non-periodic CSI reports by configuring the channel state information request (CSI request) field in the DCI format. The scheduling of the network device needs to meet the CSI calculation time requirements of the terminal device, so that the terminal can provide a valid CSI report. To this end, the terminal device can inform the network device of the terminal device's capabilities regarding CSI calculation time through capability reporting signaling (e.g., capability report).

[0133] As described in Example 1, in the capability report signaling of the terminal device, the capability of CSI calculation time can be the CSI calculation time related to the AI ​​model, such as (Z4, Z′4) or (Z5, Z′5) in Example 1, corresponding to Z and Z′ respectively. In addition, the above values ​​correspond to the subcarrier spacing parameter μ. Its value type can be an integer or an enumeration type (i.e., one or more predefined values), and the unit is the number of symbols, the number of time slots, the number of subframes, or the number of sampling points.

[0134] Regarding the CSI calculation time capability, it can also be the additional calculation time required for the calculation of CSI related to the AI ​​model (relative to the non-AI related CSI calculation time, i.e., the second calculation time), such as Yμ or Kμ in Example 1, whose values ​​correspond one-to-one to the subcarrier spacing parameter μ, and whose value type can be an integer or an enumeration type (i.e., one or more predefined values), and the unit is the number of symbols, the number of time slots, the number of subframes, or the number of sampling points.

[0135] In some examples, a terminal device may report its CSI computation time capability for different reporting quantities. For example, in capability reporting signaling, the terminal device may report the computation time or additional computation time required for the terminal device to calculate the predicted L1-SINR. Furthermore, the capability reporting signaling may also include the computation time or additional computation time required for the terminal device to calculate the predicted L1-RSRP. Other AI model-related reporting quantities are not discussed here.

[0136] The capability reporting of the above-mentioned terminal device can be achieved through the capability query of the terminal device by the network device and the capability reporting process of the terminal device. Figure 5 is a schematic diagram of the capability query and capability reporting process. As shown in Figure 5, when the terminal device 102 responds to the capability query request information (e.g., UECapabilityEnqiry) sent by the network device 101, it includes CSI calculation time information related to the AI ​​model (e.g., the first calculation time or additional calculation time) in the capability reporting signaling. In some examples, the relevant information element in the capability reporting signaling (e.g., MIMO-ParametersPerBand information element) can be added with a corresponding information field to indicate the CSI calculation time related to the AI ​​model or the required additional calculation time. This application does not limit the relevant information fields and information element names, data types, etc.

[0137] In some embodiments, if the terminal device is able to complete the calculation of AI model-related CSI within the non-AI model-related CSI calculation time (i.e., the second calculation time) defined in the existing standard, then the capability reporting signaling of the terminal device may not include CSI calculation time information related to the AI ​​model.

[0138] Example 3

[0139] When the simulated beam (pair) is predicted in the spatial domain or time domain through the terminal-side AI model, the terminal device can have multiple AI models or AI functions.

[0140] Because the complexity of multiple models or functions may vary, the corresponding CSI calculation time may also be different. In this case, in the terminal device's capability reporting signaling, the capabilities related to CSI calculation time can be mapped one-to-one to multiple AI models or functions. That is, for multiple models or functions, the terminal device provides the CSI calculation time or additional calculation time corresponding to each model or function in the capability reporting signaling.

[0141] In addition, different models or functions may correspond to different reporting quantities. For example, for regression model reasoning, the reported quantity is the predicted L1-RSRP / L1-SINR and reference signal resource indication; for classification models, the reported quantity is the probability information of beam prediction and the reference signal resource indication. For another example, for model monitoring, the reported quantity is a performance monitoring metric value, which can be L1-RSRP / L1-SINR estimation error, beam prediction accuracy, frame error rate, throughput, etc. In some embodiments, the terminal device can also provide the corresponding CSI calculation time or additional calculation time for the reported quantities corresponding to multiple models or functions.

[0142] When the terminal device gives the corresponding CSI calculation time or additional calculation time for each model or function in the capability reporting signaling for multiple models or functions, the network device needs to further clarify which model or function the corresponding CSI calculation time or additional calculation time is for when configuring or scheduling non-periodic CSI reports.

[0143] In some implementations, the network device and the terminal device identify the model or function to be used through a model or function identification process. After completing the model or function identification process, the network device and the terminal device can query the corresponding CSI calculation time or additional calculation time provided for multiple models or functions in the capability report signaling to obtain the CSI calculation time or additional calculation time corresponding to the model or function.

[0144] For the identification process of the above-mentioned models or functions, an example is: the terminal device can send information about one or more AI models or AI functions it supports to the network device, which includes the usage conditions and / or parameters of the model or function; after receiving the information, the network device selects a model or function based on the capabilities or implementation algorithm of the terminal device or network device, and feeds back the selection result to the terminal device as a response signal.

[0145] In some implementations, a network device may specify the CSI calculation time or additional calculation time corresponding to the report when configuring an aperiodic CSI report. For example, in the radio resource control (RRC) signaling channel state information aperiodic trigger state list (CSI-AperiodicTriggerStateList), in each aperiodic report configuration in each trigger state, such as the channel state information associated report configuration information (CSI-AssociatedReportConfigInfo), an information field is added to indicate the CSI calculation time or additional calculation time corresponding to the CSI report.

[0146] In some embodiments, when configuring a non-periodic CSI report, the network device may also indirectly provide the calculation time or additional calculation time of the CSI corresponding to the report through a model identifier (e.g., model ID) or a functional identifier (e.g., functionality ID). For example, in the RRC signaling CSI-AperiodicTriggerStateList, in each non-periodic report configuration in each trigger state, such as CSI-AssociatedReportConfigInfo, an information field is added to indicate the model identifier or functional identifier corresponding to the CSI report. The network device and the terminal device can indirectly obtain the calculation time of the CSI through the identifier, such as by querying the corresponding CSI calculation time or additional calculation time given for multiple models or functions in the capability report signaling through the identifier, and obtaining the CSI calculation time or additional calculation time corresponding to the model or function.

[0147] Example 4

[0148] For non-periodic CSI reports related to the AI ​​model (i.e., the first channel state information report), if the scheduling of the network device cannot meet the CSI calculation time requirements, the terminal device can have corresponding operations.

[0149] For example, when the CSI request field in the DCI format triggers the reporting of CSI Report(s) information related to the AI ​​model on the PUSCH, if the start symbol time of the uplink channel carrying the corresponding CSI report(s) (including the impact of TA) is earlier than symbol Z ref If there is no HARQ-ACK information or no TB data multiplexed on PUSCH, the terminal device ignores the DCI scheduled this time.

[0150] For example, when the CSI request field in the DCI format triggers the reporting of CSI Report(s) information related to the AI ​​model on the PUSCH, if the starting symbol time of the uplink channel carrying the nth CSI report (including the influence of TA) is earlier than symbol Z' ref (n):

[0151] If only one CSI report is triggered and there is no HARQ-ACK information or no TB data multiplexed on the PUSCH, the terminal device ignores the DCI scheduled this time; otherwise, the terminal device does not need to update the CSI information corresponding to the nth CSI report.

[0152] The above Z ref and Z' ref(n) The calculation of Z and Z' required can refer to the first and second embodiments.

[0153] 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.

[0154] The embodiments of the first aspect of the present application provide a method for determining the non-periodic CSI calculation time related to the AI ​​model and the corresponding terminal behavior, so that when the network device performs non-periodic CSI report scheduling, the terminal device can provide a valid CSI report.

[0155] Embodiments of the second aspect

[0156] The embodiment of the second aspect provides a method for determining the calculation time of channel state information, which is applied to a network device, such as network device 101 in Figure 1. For the parts of the embodiment of the second aspect that are identical to 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.

[0157] FIG6 is a schematic diagram of determining the calculation time of channel state information according to an embodiment of the second aspect. As shown in FIG6 , the method includes:

[0158] Operation 601: Receive a capability report of the terminal device sent by the terminal device, where the capability report includes a first calculation time or additional calculation time for first channel state information related to an artificial intelligence (AI) model determined by the terminal device, where the first calculation time is obtained by adding the additional calculation time to a second calculation time for second channel state information not related to the artificial intelligence (AI) model; and

[0159] Operation 602: Send downlink control information (DCI) for triggering a non-periodic channel state information (CSI) report to the terminal device, wherein the channel state information report includes a first channel state information report for carrying the first channel state information.

[0160] In at least some embodiments, the unit of the first calculation time or the additional calculation time is an orthogonal frequency division multiplexing (OFDM) symbol, a time slot, a subframe, or a sampling point, and the first calculation time or the additional calculation time corresponds to a subcarrier spacing, wherein the subcarrier spacing is the minimum of the subcarrier spacing of a physical downlink control channel (PDCCH) for transmitting the downlink control information (DCI), the minimum subcarrier spacing of an aperiodic channel state information reference signal (CSI-RS) triggered by the downlink control information (DCI), and the subcarrier spacing of a physical uplink shared channel (PUSCH) for transmitting the channel state information report.

[0161] In at least some embodiments, the capability report includes a plurality of first computing times or a plurality of additional computing times, wherein each first computing time or additional computing time corresponds to each artificial intelligence (AI) model or each artificial intelligence (AI) function.

[0162] In at least some embodiments, at least one artificial intelligence (AI) model or artificial intelligence (AI) function corresponds to multiple reporting quantities of the first channel state information report, each of the reporting quantities having a corresponding first computing time or the additional computing time.

[0163] As shown in FIG6 , the method further includes:

[0164] Operation 603: The network device obtains the first computing time or the additional computing time corresponding to the artificial intelligence (AI) model or the function by identifying the artificial intelligence (AI) model or the function.

[0165] As shown in FIG6 , the method further includes:

[0166] Operation 604: The network device sends configuration information of the channel state information report to the terminal device, where the configuration information includes at least identification information of the artificial intelligence (AI) model or the function, or the first computing time or the additional computing time corresponding to the artificial intelligence (AI) model or the function.

[0167] As shown in FIG6 , the method further includes:

[0168] Operation 605: Send the configuration information of the channel state information report to the terminal device, where the configuration information at least includes a report quantity.

[0169] In some embodiments, the reporting quantity associated with the first channel state information report includes predicted layer 1 reference signal received power (L1-RSRP) or layer 1 signal to interference plus noise ratio (L1-SINR) or probability information of beam prediction and reference signal resource indication, or performance metrics of the model.

[0170] 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.

[0171] In at least one embodiment, the configuration information of operation 604 and the configuration information of operation 605 may be configured by the network device through radio resource control (RRC) signaling, so operation 604 and operation 605 may be different steps or may be combined into one step.

[0172] As shown in FIG6 , the method further includes:

[0173] Operation 606: Receive the first channel state information report sent by the terminal device.

[0174] For example, operation 606 of FIG. 6 may correspond to operation 406 of FIG. 4 .

[0175] As shown in FIG6 , the method for determining the calculation time of the channel state information may further include:

[0176] Operation 607: Optionally, send a medium access control element (MAC CE) information of a triggering state for sub-selecting an aperiodic channel state information report to the terminal device.

[0177] In some embodiments, operation 607 may be between operation 604 (or operation 605 ) and operation 602 .

[0178] In the present application, radio resource control (RRC) signaling configures a trigger state list for aperiodic CSI reporting. For example, the trigger state list may be CSI-AperiodicTriggerStateList. Optionally, the MAC CE sent in operation 607 may sub-select a portion of states in the trigger state list, and then, downlink control information (DCI) (for example, the downlink state information sent in operation 602) indicates one of the states.

[0179] In this application, the order of the operations in FIG6 is only an example, and this application is not limited thereto. For example, the order of operation 602, operation 604, and operation 605 can be changed.

[0180] Embodiments of the third aspect

[0181] At least for the same problem as the embodiment of the first aspect, the embodiment of the third aspect of the present application provides an apparatus for determining the calculation time of channel state information, which is applied to a terminal device and corresponds to the embodiment of the first aspect.

[0182] FIG7 is a schematic diagram of an apparatus for determining a calculation time of channel state information according to an embodiment of the third aspect. As shown in FIG7 , the apparatus 700 for determining a calculation time of channel state information includes: a first processing unit 701 .

[0183] The first processing unit 701 causes the terminal device to perform the following operations:

[0184] receiving downlink control information (DCI) sent by a network device for triggering an aperiodic channel state information (CSI) report, wherein the channel state information report includes a first channel state information report, and the first channel state information report is used to carry first channel state information related to an artificial intelligence (AI) model; and

[0185] A first calculation time of the first channel state information is determined.

[0186] In some embodiments, the terminal device further performs the following operations:

[0187] receiving configuration information of the channel state information report sent by the network device, where the configuration information at least includes a report quantity.

[0188] In some embodiments, the reporting quantity associated with the first channel state information report includes predicted layer 1 reference signal received power (L1-RSRP) or layer 1 signal to interference plus noise ratio (L1-SINR) or probability information of beam prediction and reference signal resource indication, or performance metrics of a model;

[0189] 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.

[0190] In some embodiments, the first calculation time is greater than or equal to a second calculation time of second channel state information unrelated to an artificial intelligence (AI) model.

[0191] In some embodiments, the first computing time is obtained by adding additional computing time to the second computing time.

[0192] In some embodiments, for different reporting amounts associated with the first channel state report,

[0193] The first calculation times are the same or different, or the additional calculation times are the same or different.

[0194] In some embodiments, the unit of the first calculation time or the additional calculation time is an orthogonal frequency division multiplexing (OFDM) symbol or a time slot or a subframe or a sampling point, and the first calculation time or the additional calculation time corresponds to a subcarrier spacing.

[0195] In some embodiments, the subcarrier spacing is the minimum value among the subcarrier spacing of the physical downlink control channel (PDCCH) for transmitting the downlink control information (DCI), the minimum subcarrier spacing of the aperiodic channel state information reference signal (CSI-RS) triggered by the downlink control information (DCI), and the subcarrier spacing of the physical uplink shared channel (PUSCH) for transmitting the channel state information report.

[0196] In some embodiments, the terminal device further performs the following operations:

[0197] Sending a capability report of the terminal device to the network device, wherein the capability report includes the first computing time or the additional computing time.

[0198] In some embodiments, the capability report includes a plurality of first calculation times or a plurality of additional calculation times, wherein each of the first calculation times or the additional calculation times corresponds to a reporting amount of the first channel state information report.

[0199] In some embodiments, the capability report includes multiple first computing times or multiple additional computing times, wherein each of the first computing times or the additional computing times corresponds to each artificial intelligence (AI) model or each artificial intelligence (AI) function.

[0200] In some embodiments, at least one artificial intelligence (AI) model or artificial intelligence (AI) function corresponds to multiple reporting quantities of the first channel state information report, and each of the reporting quantities has a corresponding first calculation time or the additional calculation time.

[0201] In some embodiments, the terminal device obtains the first computing time or the additional computing time corresponding to the artificial intelligence (AI) model or the function by identifying the artificial intelligence (AI) model or the function.

[0202] In some embodiments, the terminal device further performs the following operations:

[0203] Receive configuration information of the channel state information report sent by the network device, where the configuration information includes at least identification information of the artificial intelligence (AI) model or the function, or the first computing time or the additional computing time corresponding to the artificial intelligence (AI) model or the function.

[0204] In some embodiments, the terminal device further performs the following operations:

[0205] The starting symbol time of the uplink channel carrying the first channel state information report meets the requirement of the first calculation time, and the terminal device sends the first channel state information report to the network device.

[0206] In some embodiments, the terminal device further performs the following operations:

[0207] The starting symbol time of the uplink channel carrying the first channel state information report does not meet the requirement of the first calculation time, and the terminal device ignores the downlink control information (DCI) used to trigger the non-periodic channel state information (CSI) report or does not update the corresponding channel state information (CSI) report.

[0208] Embodiments of the fourth aspect

[0209] An embodiment of the fourth aspect of the present application provides a channel state information configuration device, which is applied to a network device and corresponds to the method of the embodiment of the second aspect.

[0210] FIG8 is a schematic diagram of an apparatus for determining a calculation time of channel state information according to an embodiment of the fourth aspect. As shown in FIG8 , the apparatus 800 for determining a calculation time of channel state information includes: a second processing unit 801 .

[0211] In at least one embodiment, the second processing unit 801 controls the network device to perform the following operations:

[0212] receiving a capability report of the terminal device sent by the terminal device, the capability report including a first calculation time or additional calculation time for first channel state information related to an artificial intelligence (AI) model determined by the terminal device, where the first calculation time is obtained by adding the additional calculation time to a second calculation time for second channel state information not related to the artificial intelligence (AI) model; and

[0213] Downlink control information (DCI) for triggering a non-periodic channel state information (CSI) report is sent to the terminal device, wherein the channel state information report includes a first channel state information report for carrying the first channel state information.

[0214] In at least some embodiments, the capability report includes a plurality of the first computing times or a plurality of the additional computing times, wherein each of the first computing times or the additional computing times corresponds to each artificial intelligence (AI) model or each artificial intelligence (AI) function.

[0215] In at least some embodiments, at least one artificial intelligence (AI) model or artificial intelligence (AI) function corresponds to multiple reporting quantities of the first channel state information report, each of the reporting quantities having a corresponding first computing time or the additional computing time.

[0216] In at least some embodiments, the network device further performs the following operations:

[0217] The network device obtains the first computing time or the additional computing time corresponding to the artificial intelligence (AI) model or the function by identifying the artificial intelligence (AI) model or the function.

[0218] In at least some embodiments, the method further comprises:

[0219] The network device sends configuration information of the channel state information report to the terminal device, and the configuration information includes at least identification information of the artificial intelligence (AI) model or the function, or the first computing time or the additional computing time corresponding to the artificial intelligence (AI) model or the function.

[0220] In at least some embodiments, the unit of the first calculation time or the additional calculation time is an orthogonal frequency division multiplexing (OFDM) symbol or time slot or subframe or sampling point, and the first calculation time or the additional calculation time corresponds to a subcarrier spacing.

[0221] In at least some embodiments, the subcarrier spacing is the minimum value among the subcarrier spacing of the physical downlink control channel (PDCCH) that transmits the downlink control information (DCI), the minimum subcarrier spacing of the aperiodic channel state information reference signal (CSI-RS) triggered by the downlink control information (DCI), and the subcarrier spacing of the physical uplink shared channel (PUSCH) that transmits the channel state information report.

[0222] In at least some embodiments, the network device further performs the following operations:

[0223] Sending configuration information of the channel state information report to the terminal device, the configuration information at least including a report quantity.

[0224] In at least some embodiments, the reported quantity associated with the first channel state information report includes predicted layer 1 reference signal received power (L1-RSRP) or layer 1 signal to interference plus noise ratio (L1-SINR) or probability information of beam prediction and reference signal resource indication, or performance metrics of a model;

[0225] 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.

[0226] In at least some embodiments, the network device further performs the following operations:

[0227] Receive the first channel state information report sent by the terminal device.

[0228] Embodiments of the fifth aspect

[0229] An embodiment of the fifth aspect of the present application provides a communication system, which may include a network device and a terminal device.

[0230] FIG9 is a schematic diagram of a terminal device according to an embodiment of the fifth aspect. As shown in FIG9 , the terminal device 900 (e.g., corresponding to the terminal device 102 in FIG1 ) may include a processor 910 and a memory 920; the memory 920 stores data and programs and is coupled to the processor 910. 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.

[0231] For example, the processor 910 can be configured to execute a program to implement the method in the embodiment of the first aspect.

[0232] As shown in Figure 9 , the terminal device 900 may further include: a communication module 930, an input unit 940, a display 950, and a power supply 960. 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 900 does not necessarily include all of the components shown in Figure 9 , and these components are not essential. Furthermore, the terminal device 900 may also include components not shown in Figure 9 , for which reference may be made to the prior art.

[0233] FIG10 is a schematic diagram of a network device according to an embodiment of the fifth aspect. As shown in FIG10 , network device 1000 (e.g., corresponding to network device 101 in FIG1 ) may include a processor 1010 (e.g., a central processing unit (CPU)) and a memory 1020; memory 1020 is coupled to processor 1010. Memory 1020 may store various data and may also store an information processing program 1030, which is executed under the control of processor 1010.

[0234] For example, the processor 1010 can be configured to execute a program to implement the method as described in the embodiment of the second aspect.

[0235] In addition, as shown in FIG10 , the network device 1000 may further include: a transceiver 1040 and an antenna 1050; 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 the network device 1000 does not necessarily include all the components shown in FIG10 ; in addition, the network device 1000 may also include components not shown in FIG10 , and reference may be made to the prior art for details.

[0236] 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.

[0237] 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.

[0238] 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.

[0239] 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.

[0240] 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.

[0241] 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).

[0242] 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.

[0243] 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.

[0244] 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.

[0245] Regarding the implementation methods including the above embodiments, the following additional notes are also disclosed:

[0246] 1. A method for determining a calculation time of channel state information, applied to a network device, the method comprising:

[0247] receiving a capability report of the terminal device sent by the terminal device, the capability report including a first calculation time or additional calculation time for first channel state information related to an artificial intelligence (AI) model determined by the terminal device, where the first calculation time is obtained by adding the additional calculation time to a second calculation time for second channel state information not related to the artificial intelligence (AI) model; and

[0248] Downlink control information (DCI) for triggering a non-periodic channel state information (CSI) report is sent to the terminal device, wherein the channel state information report includes a first channel state information report for carrying the first channel state information.

[0249] 2. The method as described in Note 1, wherein:

[0250] The capability report includes a plurality of the first computing times or a plurality of the additional computing times,

[0251] The first computing time or the additional computing time corresponds to an artificial intelligence (AI) model or an artificial intelligence (AI) function.

[0252] 3. The method as described in Note 2, wherein the method further comprises:

[0253] The network device obtains the first computing time or the additional computing time corresponding to the artificial intelligence (AI) model or the function by identifying the artificial intelligence (AI) model or the function.

[0254] 4. The method as described in Note 2, wherein:

[0255] The method further comprises:

[0256] The network device sends configuration information of the channel state information report to the terminal device, and the configuration information includes at least identification information of the artificial intelligence (AI) model or the function, or the first computing time or the additional computing time corresponding to the artificial intelligence (AI) model or the function.

[0257] 5. The method as described in Note 1, wherein:

[0258] The unit of the first calculation time or the additional calculation time is an Orthogonal Frequency Division Multiplexing (OFDM) symbol, a time slot, a subframe, or a sampling point, and the first calculation time or the additional calculation time corresponds to a subcarrier spacing.

[0259] 6. The method as described in Note 1, wherein:

[0260] The subcarrier spacing is the minimum value among the subcarrier spacing of the physical downlink control channel (PDCCH) for transmitting the downlink control information (DCI), the minimum subcarrier spacing of the aperiodic channel state information reference signal (CSI-RS) triggered by the downlink control information (DCI), and the subcarrier spacing of the physical uplink shared channel (PUSCH) for transmitting the channel state information report.

[0261] 7. The method as described in Supplementary Note 1, wherein the method further comprises:

[0262] Sending configuration information of the channel state information report to the terminal device, the configuration information at least including a report quantity.

[0263] 8. The method as described in Supplementary Note 7, wherein:

[0264] The reporting quantity related to the first channel state information report includes the predicted layer 1 reference signal received power (L1-RSRP) or layer 1 signal to interference plus noise ratio (L1-SINR) or probability information of beam prediction and reference signal resource indication, or performance metric of the model,

[0265] 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.

[0266] 9. An apparatus for determining a calculation time of channel state information, applied to a terminal device, the apparatus comprising a first processing unit configured to control the terminal device so as to cause the terminal device to perform the following operations:

[0267] receiving downlink control information (DCI) sent by a network device for triggering an aperiodic channel state information (CSI) report, wherein the channel state information report includes a first channel state information report, and the first channel state information report is used to carry first channel state information related to an artificial intelligence (AI) model; and

[0268] A first calculation time of the first channel state information is determined.

[0269] 10. The method as described in Supplementary Note 9, wherein:

[0270] The first calculation time is greater than or equal to a second calculation time of second channel state information that is not associated with an artificial intelligence (AI) model.

Claims

1. An apparatus for determining the calculation time of channel state information, which is applied to a terminal device. The apparatus includes a first processing unit that controls the terminal device to perform the following operations: Receive downlink control information (DCI) sent by a network device for triggering an aperiodic channel state information (CSI) report, where The channel state information report includes a first channel state information report, which is used to carry first channel state information related to an artificial intelligence (AI) model; and Determine the first calculation time of the first channel state information.

2. The device according to claim 1, wherein The terminal device also performs the following operations: Receive the configuration information of the channel state information report sent by the network device, where the configuration information includes at least a report quantity.

3. The apparatus according to claim 2, wherein The report quantity related to the first channel state information report includes predicted layer 1 reference signal received power (L1-RSRP) or layer 1 signal-to-interference-plus-noise ratio (L1-SINR) or probability information of beam prediction and reference signal resource indication, or performance metrics 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 the beam prediction is obtained by the terminal device through inference 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.

4. The apparatus according to claim 1, wherein The first calculation time is greater than or equal to the second calculation time of the second channel state information that is not related to the artificial intelligence (AI) model.

5. The apparatus according to claim 4, wherein The first calculation time is obtained by adding an additional calculation time on the basis of the second calculation time.

6. The apparatus according to claim 5, wherein For different report quantities related to the first channel state report, The first calculation time is the same or different, or the additional calculation time is the same or different.

7. The apparatus according to claim 5, wherein The unit of the first calculation time or the additional calculation time is an orthogonal frequency division multiplexing (OFDM) symbol or a time slot or a subframe or a sampling point, and the first calculation time or the additional calculation time corresponds to the subcarrier spacing.

8. The apparatus according to claim 7, wherein The subcarrier spacing is the minimum of the subcarrier spacing of the physical downlink control channel (PDCCH) for transmitting the downlink control information (DCI), the minimum subcarrier spacing of the aperiodic channel state information reference signal (CSI-RS) triggered by the downlink control information (DCI), and the subcarrier spacing of the physical uplink shared channel (PUSCH) for transmitting the channel state information report. The terminal device also performs the following operations:

9. The device according to claim 5, wherein, Send a capability report of the terminal device to the network device, wherein the capability report includes the first calculation time or the additional calculation time.

10. The apparatus according to claim 9, wherein The capability report includes multiple first calculation times or multiple additional calculation times, ​ Among them, each of the first calculation times or the additional calculation times corresponds to the reporting amount of the first channel state information report.

11. The apparatus according to claim 9, wherein the capability report includes a plurality of first calculation times or a plurality of the additional calculation times, wherein each of the first calculation times or the additional calculation times corresponds to each artificial intelligence (AI) model or each function of the artificial intelligence (AI).

12. The apparatus according to claim 11, wherein at least one artificial intelligence (AI) model or a function of the artificial intelligence (AI) corresponds to a plurality of reporting amounts of the first channel state information report, and each of the reporting amounts has a corresponding first calculation time or the additional calculation time.

13. The apparatus according to claim 11, wherein the terminal device obtains the first calculation time or the additional calculation time corresponding to the artificial intelligence (AI) model or the function by identifying the artificial intelligence (AI) model or the function.

14. The apparatus according to claim 11, wherein the terminal device further performs the following operations: receiving configuration information of the channel state information report sent by the network device, the configuration information at least including identification information of the artificial intelligence (AI) model or the function, or the first calculation time or the additional calculation time corresponding to the artificial intelligence (AI) model or the function. The terminal device further performs the following operations:

15. The device according to claim 1, wherein, when the starting symbol time of the uplink channel corresponding to the first channel state information report meets the requirement of the first calculation time, the terminal device sends the first channel state information report to the network device. The terminal device further performs the following operations:

16. The device according to claim 1, wherein when the starting symbol time of the uplink channel corresponding to the first channel state information report does not meet the requirement of the first calculation time, the terminal device ignores the downlink control information (DCI) for triggering the aperiodic channel state information (CSI) report or does not update the corresponding channel state information (CSI) report.

17. An apparatus for determining the calculation time of channel state information, applied to a network device, the apparatus includes a second processing unit, and the second processing unit controls the network device to perform the following operations: receiving a capability report of the terminal device sent by the terminal device, the capability report including a first calculation time or an additional calculation time of the first channel state information determined by the terminal device related to an artificial intelligence (AI) model, the first calculation time being obtained by adding the additional calculation time to a second calculation time of second channel state information not related to the artificial intelligence (AI) model; and the channel state information report includes a first channel state information report for carrying the first channel state information. Send downlink control information (DCI) for triggering an aperiodic channel state information (CSI) report to the terminal device, where 18. The apparatus according to claim 17, wherein the capability report includes a plurality of the first calculation times or a plurality of the additional calculation times, ​ Among them, each of the first calculation times or the additional calculation times corresponds to each artificial intelligence (AI) model or each function of the artificial intelligence (AI).

19. The apparatus according to claim 18, wherein at least one artificial intelligence (AI) model or a function of the artificial intelligence (AI) corresponds to a plurality of reporting amounts of the first channel state information report, and each of the reporting amounts has a corresponding first calculation time or the additional calculation time.

20. The device according to claim 17, wherein, The network device further performs the following operations: Receive the first channel state information report sent by the terminal device.

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