A reporting method and device, equipment, storage medium, program product

Abstract

The application discloses a reporting method and device, equipment, a storage medium, and a program product. The method comprises the following steps: a terminal receives a first reporting configuration and / or a second reporting configuration. At least one of the first reporting configuration comprises the following: a first measurement resource set, a prediction resource set, a prediction time point number, a prediction time point interval, a prediction time point duration, and a first reporting quantity. At least one of the second reporting configuration comprises the following: a first reporting configuration ID, a second measurement resource set, a second reporting quantity being a first index or a second index, a first window time length, and a first number.

Description

Technical Field

[0001] This application relates to the field of wireless communication technology, and in particular to a reporting method, apparatus, device, storage medium, and program product. Background Technology

[0002] Artificial intelligence (AI) has already shown promising application prospects in the field of beam management within the 5G design framework. Related technologies have been incorporated into wireless AI projects, with research covering use cases such as Channel State Information (CSI) feedback, beam management, and positioning. These projects involve steps such as AI model deployment, inference / prediction, and monitoring.

[0003] Regarding model inference / prediction, the terminal needs to report the inference / prediction results to the network side; regarding model monitoring, the terminal needs to report the monitoring results to the network side. How the terminal can efficiently perform this reporting needs improvement. Summary of the Invention

[0004] To address the aforementioned technical problems, embodiments of this application provide a reporting method, a communication device, a communication equipment, a computer storage medium, and a computer program product.

[0005] The reporting method provided in this application includes:

[0006] The terminal receives the first reported configuration and / or the second reported configuration;

[0007] The first reporting configuration includes at least one of the following: a first measurement resource set, a prediction resource set, a prediction time number, a prediction time interval, a prediction time duration, and a first reporting quantity; the second reporting configuration includes at least one of the following: a first reporting configuration ID, a second measurement resource set, a second reporting quantity which is a first indicator or a second indicator, a first window time length, and a first quantity, wherein the first window time length is a monitoring window time length or a measurement window time length, and the first quantity is the number of cycles of the second measurement resource set, or the number of first opportunities, or the number of inference or prediction results associated with the measurement results of the first opportunity, or the number of inference or prediction results associated with the first opportunity, or the number of prediction times associated with the first opportunity.

[0008] The reporting method provided in this application includes:

[0009] The network sends the first reported configuration and / or the second reported configuration;

[0010] The first reporting configuration includes at least one of the following: a first measurement resource set, a prediction resource set, a prediction time number, a prediction time interval, a prediction time duration, and a first reporting quantity; the second reporting configuration includes at least one of the following: a first reporting configuration ID, a second measurement resource set, a second reporting quantity which is a first indicator or a second indicator, a first window time length, and a first quantity, wherein the first window time length is a monitoring window time length or a measurement window time length, and the first quantity is the number of cycles of the second measurement resource set, or the number of first opportunities, or the number of inference or prediction results associated with the measurement results of the first opportunity, or the number of inference or prediction results associated with the first opportunity, or the number of prediction times associated with the first opportunity.

[0011] The communication device provided in this application embodiment is applied to a terminal, and the device includes:

[0012] A receiving unit is configured to receive a first reporting configuration and / or a second reporting configuration.

[0013] The first reporting configuration includes at least one of the following: a first measurement resource set, a prediction resource set, a prediction time number, a prediction time interval, a prediction time duration, and a first reporting quantity; the second reporting configuration includes at least one of the following: a first reporting configuration ID, a second measurement resource set, a second reporting quantity which is a first indicator or a second indicator, a first window time length, and a first quantity, wherein the first window time length is a monitoring window time length or a measurement window time length, and the first quantity is the number of cycles of the second measurement resource set, or the number of first opportunities, or the number of inference or prediction results associated with the measurement results of the first opportunity, or the number of inference or prediction results associated with the first opportunity, or the number of prediction times associated with the first opportunity.

[0014] The communication device provided in this application embodiment is applied to a network device, and the device includes:

[0015] A sending unit is used to send the first reporting configuration and / or the second reporting configuration;

[0016] The first reporting configuration includes at least one of the following: a first measurement resource set, a prediction resource set, a prediction time number, a prediction time interval, a prediction time duration, and a first reporting quantity; the second reporting configuration includes at least one of the following: a first reporting configuration ID, a second measurement resource set, a second reporting quantity which is a first indicator or a second indicator, a first window time length, and a first quantity, wherein the first window time length is a monitoring window time length or a measurement window time length, and the first quantity is the number of cycles of the second measurement resource set, or the number of first opportunities, or the number of inference or prediction results associated with the measurement results of the first opportunity, or the number of inference or prediction results associated with the first opportunity, or the number of prediction times associated with the first opportunity.

[0017] The communication device provided in this application includes a processor and a memory. The memory is used to store computer programs, and the processor is used to call and run the computer programs stored in the memory to execute any of the above-described reporting methods.

[0018] The computer-readable storage medium provided in this application embodiment is used to store a computer program that causes a computer to execute any of the above-described reporting methods.

[0019] The computer program product provided in this application includes computer program instructions that cause a computer to execute any of the above-described reporting methods.

[0020] In the technical solution of this application embodiment, the network side configures a first reporting configuration and / or a second reporting configuration for the terminal. The terminal can perform model inference or prediction-related reporting based on the content of the first reporting configuration, and the terminal can perform model monitoring-related reporting based on the content of the second reporting configuration. In this way, the terminal can report efficiently, providing a basis for the network side to trigger model updates / model switching / rollback to the traditional beam management scheme. Attached Figure Description

[0021] Figure 1 This is a schematic diagram illustrating an application scenario of an embodiment of this application;

[0022] Figure 2 This is a flowchart illustrating the reporting method provided in the embodiments of this application. Figure 1 ;

[0023] Figure 3 This is a flowchart illustrating the reporting method provided in the embodiments of this application. Figure 2 ;

[0024] Figure 4 This is a schematic diagram of the structural composition of the communication device provided in the embodiments of this application. Figure 1 ;

[0025] Figure 5 This is a schematic diagram of the structural composition of the communication device provided in the embodiments of this application. Figure 2 ;

[0026] Figure 6 This is a schematic structural diagram of a communication device provided in an embodiment of this application;

[0027] Figure 7 This is a schematic structural diagram of the chip according to an embodiment of this application. Detailed Implementation

[0028] The technical solutions of the embodiments of this application will now be described with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this application, and not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of this application without creative effort are within the scope of protection of this application.

[0029] Figure 1 This is a schematic diagram of an application scenario according to an embodiment of this application.

[0030] like Figure 1 As shown, the communication system may include a terminal 110 and a network device 120. The network device 120 can communicate with the terminal 110 via an air interface. Figure 1 An exemplary illustration shows a base station and two terminals. Optionally, the wireless communication system may include multiple base stations, and each base station may include other numbers of terminals within its coverage area. This application does not limit this aspect.

[0031] It should be noted that, Figure 1This application merely illustrates the system to which this application applies; of course, the methods shown in the embodiments of this application can also be applied to other systems. Furthermore, the term "and / or" in this document is simply a description of the relationship between related objects, indicating that three relationships can exist. For example, A and / or B can represent: A existing alone, A and B existing simultaneously, or B existing alone. Additionally, the character " / " in this document generally indicates that the preceding and following related objects have an "or" relationship. It should also be understood that "instruction" mentioned in the embodiments of this application can be a direct instruction, an indirect instruction, or an indication of a related relationship. For example, A instructing B can mean that A directly instructs B, for example, B can be obtained through A; it can also mean that A indirectly instructs B, for example, A instructs C, B can be obtained through C; or it can mean that there is a related relationship between A and B. It should also be understood that "correspondence" mentioned in the embodiments of this application can mean that there is a direct or indirect correspondence between two things, or an related relationship between two things, or a relationship of instruction and being instructed, configuration and being configured, etc. It should also be understood that the "predefined" or "predefined rules" mentioned in the embodiments of this application can be implemented by pre-storing corresponding codes, tables, or other means that can be used to indicate relevant information in the device (e.g., including terminals and network devices), and this application does not limit the specific implementation method. For example, predefined can refer to what is defined in a protocol. It should also be understood that in the embodiments of this application, the "protocol" can refer to a standard protocol in the field of communication.

[0032] To facilitate understanding of the technical solutions of the embodiments of this application, the relevant technologies of the embodiments of this application will be described below.

[0033] The model can be deployed on the terminal side and / or the network side to implement use cases such as CSI feedback, beam management, and positioning. Regarding model inference / prediction, the terminal reports the inference / prediction results to the network side; regarding model monitoring, the terminal reports the monitoring results to the network side. For different reporting volumes, the terminal needs to use appropriate quantization methods for reporting.

[0034] For Reference Signal Receiving Power (RSRP), the RSRP reporting quantization method is as follows: the terminal reports the maximum RSRP value and the RSRP differential value. For the maximum RSRP value, the quantization range is defined as [-140, -44] dBm, the quantization step size is 1 dB, and the quantized value is represented by 7 bits. For the RSRP differential value, the quantization step size is 2 dB, and the quantized value is represented by 4 bits. The RSRP value can be determined based on the 7-bit maximum RSRP value and the 4-bit RSRP differential value, where the RSRP value equals the maximum RSRP value minus the RSRP differential value.

[0035] For Time Domain Channel Property (TDCP), the quantization method for TDCP reporting is as follows: the terminal reports k TDCP , where k TDCP Corresponding to Y time delay values, i.e., k TDCP =[k1…k Y ], k i ∈{0,1,…,15}, 1≤i≤Y. k i and a i There is a mapping relationship, for example, the mapping relationship is shown in Table 1, according to this mapping relationship and k TDCP element k in i It can be determined that a i According to a i The TDCP value can be determined, where the TDCP value is 1-a. i .

[0036] Table 1 k i and a i mapping relationship

[0037]

[0038] For reported quantities such as RSRP, the quantization method is uniform quantization within a defined quantization range (i.e., the quantized value is uniformly quantized within the quantization range according to the quantization step size). For model monitoring, the Key Performance Indicator (KPI) is reported, and its quantization method may be non-uniform quantization. The quantization methods in related technologies lack flexibility and do not involve non-uniform quantization or quantization with variable quantization ranges.

[0039] To facilitate understanding of the technical solutions of the embodiments of this application, the technical solutions of this application are described in detail below through specific embodiments.

[0040] It should be noted that the term "reasoning" described in the embodiments of this application can be replaced by "prediction" in some cases, and vice versa. The term "reasoning / prediction" described in the embodiments of this application refers to "reasoning or prediction".

[0041] It should be noted that the "reference signal" described in the embodiments of this application can also be replaced by "beam" in some cases, or in other words, the "reference signal" described in the embodiments of this application is related to "beam".

[0042] It should be noted that the "first indicator" described in the embodiments of this application can sometimes be replaced by "beam prediction accuracy" or "prediction accuracy," and the "second indicator" described in the embodiments of this application can sometimes be replaced by "beam prediction accuracy indicator" or "prediction accuracy indicator." This application does not impose specific limitations on the names of the first and second indicators.

[0043] It should be noted that the "resources" in the measurement resources / prediction resources described in the embodiments of this application refer to "reference signals" or "reference signal resources", such as synchronization signal blocks (SSBs) and channel status information-reference signals (CSI-RS).

[0044] Figure 2 This is a flowchart illustrating the reporting method provided in the embodiments of this application. Figure 1 ,like Figure 2 As shown, the reporting method includes the following steps:

[0045] Step 201: The terminal receives a first reporting configuration and / or a second reporting configuration; wherein the first reporting configuration includes at least one of the following: a first measurement resource set, a prediction resource set, a prediction time number, a prediction time interval, a prediction time duration, and a first reporting quantity; the second reporting configuration includes at least one of the following: a first reporting configuration ID, a second measurement resource set, a second reporting quantity which is a first indicator or a second indicator, a first window time length, and a first quantity, wherein the first window time length is a monitoring window time length or a measurement window time length, and the first quantity is the number of cycles of the second measurement resource set, or the number of first opportunities, or the number of inference or prediction results associated with the measurement results of the first opportunity, or the number of inference or prediction results associated with the first opportunity, or the number of prediction times associated with the first opportunity.

[0046] In this embodiment of the application, the terminal receives a first reporting configuration and / or a second reporting configuration sent by the network side, wherein the first reporting configuration is used for inference or prediction, and the second reporting configuration is used for monitoring.

[0047] In this embodiment of the application, the first reporting configuration includes at least one of the following: a first measurement resource set, a prediction resource set, a prediction time number, a prediction time interval, a prediction time duration, and a first reporting amount.

[0048] In some implementations, the terminal performs measurements on a first measurement resource set based on a first reporting configuration, and uses a model to infer or predict based on the measurement results to obtain inference or prediction results. The terminal can obtain inference or prediction results corresponding to one or more prediction times. The location of the prediction time can be determined based on the number of prediction times, the prediction time interval, and the prediction time duration.

[0049] In some implementations, the prediction resource set is the same as the first measurement resource set. In other implementations, the prediction resource set is different from the first measurement resource set; for example, the prediction resource set includes the first measurement resource set, or the prediction resource set and the first measurement resource set have overlapping portions.

[0050] In some implementations, after obtaining the inference or prediction results, the terminal can report the inference or prediction results to the network side. The inference or prediction results include the first reporting amount configured by the first reporting configuration.

[0051] In some implementations, the reasoning or prediction result includes at least one of the following:

[0052] The first K best reference signals predicted in the second measurement resource set or prediction resource set, K≥1;

[0053] The first K best reference signals predicted in the prediction resource set are associated with L reference signals in the second measurement resource set.

[0054] In some implementations, the inference or prediction result includes the reference signal index or reference signal identifier of the K best reference signals and / or the L reference signals, and optionally, also includes the quality of the K best reference signals and / or the L reference signals.

[0055] In this embodiment of the application, the second reporting configuration includes at least one of the following: a first reporting configuration ID, a second measurement resource set, a second reporting quantity which is a first indicator or a second indicator, a first window time length, and a first quantity, wherein the first window time length is a monitoring window time length or a measurement window time length, and the first quantity is the number of cycles of the second measurement resource set, or the number of first timings, or the number of inference or prediction results associated with the measurement results of the first timing, or the number of inference or prediction results associated with the first timing, or the number of prediction times associated with the first timing.

[0056] In some implementations, the second reporting configuration and the first reporting configuration are associated, and this association is reflected by including the first reporting configuration ID in the second reporting configuration.

[0057] The difference between the second measurement resource set in the second reporting configuration and the first measurement resource set in the first reporting configuration is that the purpose of the second measurement resource set includes not only measurement but also monitoring.

[0058] The second reporting quantity in the second reporting configuration is either the first indicator or the second indicator.

[0059] In some implementations, the first index is determined based on a first parameter and a second parameter; the first parameter is the first quantity; the second parameter represents the number of inference or prediction results that satisfy the first condition among the first quantity of inference or prediction results; wherein,

[0060] The first number of inference or prediction results include: the inference or prediction result corresponding to the prediction time associated with each of the first time points; or,

[0061] The first number of inference or prediction results include: the inference or prediction result corresponding to the CSI reference resource of the first reporting configuration associated with each of the first time points; or,

[0062] The first number of inference or prediction results include: the inference or prediction result associated with each first time point in the first number of first time points.

[0063] In some implementations, the first metric is determined based on a first parameter and a second parameter, including: the first metric is equal to the second parameter divided by the first parameter. In one example, the first metric is... Where N represents the first parameter; N p This represents the second parameter.

[0064] In some implementations, the first parameter is predefined, configured via Radio Resource Control (RRC), or determined by the first window duration and the second measurement resource set period.

[0065] In some implementations, the second index is determined based on a second parameter; the second parameter represents the number of inference or prediction results that satisfy the first condition among a first number of inference or prediction results; wherein,

[0066] The first number of inference or prediction results include: the inference or prediction result corresponding to the prediction time associated with each of the first time points; or,

[0067] The first number of inference or prediction results include: the inference or prediction result corresponding to the CSI reference resource of the first reporting configuration associated with each of the first time points; or,

[0068] The first number of inference or prediction results include: the inference or prediction result associated with each first time point in the first number of first time points.

[0069] In one example, the second metric is N. p , where N p This represents the second parameter.

[0070] In some implementations, the first condition includes at least one of the following conditions:

[0071] Among the top M best quality reference signals in the second measurement resource set measured at the first timing, there exists at least one reference signal that belongs to the inference or prediction result associated with the first timing.

[0072] In the inference or prediction results associated with the first timing, there exists at least one reference signal that belongs to the top M best quality reference signals of the second measurement resource set of the first timing measurement;

[0073] In the inference or prediction results associated with the first timing, the difference between the maximum value of the measured reference signal quality and the quality of the first best reference signal in the second measurement resource set measured at the first timing is less than a first threshold.

[0074] In some implementations, K and M are configured via RRC, where K is greater than or equal to 1 and M is greater than or equal to 1; and / or, the quality of the reference signal is the Reference Signal Receiving Power (RSRP) or the Reference Signal Receiving Quality (RSRQ); and / or, the predicted best reference signal is the predicted reference signal with the best quality or the reference signal with the highest probability of becoming the best quality reference signal; and / or, the first threshold is predefined or configured via RRC; and / or, the correlation between the predicted reference signal in the resource set and the reference signal in the second measurement resource set is predefined or configured via RRC.

[0075] The first window time length in the second reporting configuration is the monitoring window time length or the measurement window time length, which is also the window time length of the second measurement resource set.

[0076] In some implementations, the first timing refers to the timing of the transmission of the second measurement resource set. The "first timing" in the embodiments of this application may also be described as a "monitoring timing" in some cases.

[0077] In some implementations, the measurement result corresponding to the first timing and the inference or prediction result corresponding to the prediction time associated with the first timing are used to calculate the first indicator or the second indicator; and / or, the measurement result corresponding to the first timing and the inference or prediction result corresponding to the CSI reference resource of the first reporting configuration associated with the first timing are used to calculate the first indicator or the second indicator; and / or, if the first timing or the prediction time associated with the first timing or the CSI reference resource of the first reporting configuration associated with the first timing is after the second reporting configuration CSI reference resource, then the inference or prediction result corresponding to the first timing or the prediction time associated with the first timing is not used for the calculation of the first indicator or the second indicator.

[0078] In some implementations, a first timing event is associated with one or more prediction times that are closest in time to the first timing event; and / or, a measurement result of a first timing event is associated with the inference or prediction result of one or more prediction times that are closest in time to the first timing event; and / or, a first timing event is associated with the inference or prediction result of one or more prediction times that are closest in time to the first timing event; and / or, a first timing event is associated with the CSI reference resource of the first reporting configuration that is closest in time to the first timing event; and / or, a first timing event is associated with the inference or prediction result of the CSI reference resource of the first reporting configuration that is closest in time to the first timing event.

[0079] In some implementations, the association of a first timing point with one or more prediction times that are most close to the first timing point in time is configured by RRC; and / or, the association of a measurement result of a first timing point with the inference or prediction result of one or more prediction times that are most close to the first timing point in time is configured by RRC; and / or, the association of a first timing point with the inference or prediction result of one or more prediction times that are most close to the first timing point in time is configured by RRC.

[0080] In some implementations, when the second reported quantity is the first indicator, the method further includes: the terminal reporting the first indicator; wherein the first indicator is reported using a first quantification method, or a second quantification method, or a third quantification method.

[0081] The following explains several methods for quantifying the first indicator.

[0082] Method 1: In the first quantization method, the quantization range is from X to Y, and the quantization step size is S; where X and Y are predefined values; S is a predefined value, or N is the first quantity; a is a predefined value.

[0083] Here, the range from X to Y can be represented as [X,Y], which represents the range greater than or equal to X and less than or equal to Y.

[0084] Here, the meaning of the first quantity can be referred to in the above description.

[0085] In one example, X = 0.8, Y = 1, S = 0.01, meaning the quantization range is from 0.8 to 1, and the quantization step size is 0.01. Then, the quantized values ​​are 0.8, 0.81, 0.82, ..., 0.98, 0.99, 1.

[0086] In one example, X = 0.8, Y = 1, That is, the quantization range is from 0.8 to 1, and the quantization step size is... Therefore, the quantized values ​​are 0.8, 0.85, 0.9, 0.95, and 1.

[0087] The first method described above is a uniform quantization method.

[0088] Method 2: In the second quantization method, the quantization range is from X to Y, and the quantized value is b. i ×(YX)+X, i=0,1,2,...,N1; where X and Y are predefined values; b i It is a predefined value; N1 is a predefined number of quantization levels.

[0089] Here, the range from X to Y can be represented as [X,Y], which represents the range greater than or equal to X and less than or equal to Y.

[0090] In one example, X = 0.8, Y = 1, meaning the quantization range is from 0.8 to 1; N1 = 4, meaning the number of quantization levels is 4, where b0 = 0, b1 = 0.75, b2 = 0.875, b3 = 0.95, b4 = 1. Therefore, the quantized values ​​are 0.8, 0.95, 0.975, 0.99, and 1.

[0091] Method 2 described above is a non-uniform quantization method.

[0092] Method 3: In the third quantization method, the quantized value is k∈{0,1,2,…,K′}, corresponding to K′+1 quantization levels.

[0093] In some implementations, k and c have a mapping relationship, with the first index being 1-c. Where 0≤c≤1.

[0094] In some implementations, the mapping relationship is predefined. In one example, the mapping relationship is shown in Table 2. Based on this mapping relationship and the value of k, the value of c can be determined, and based on the value of c, the first index value can be determined, wherein the first index is 1-c.

[0095] Mapping relationship between k and c in Table 2

[0096]

[0097]

[0098] Method 3 described above is a non-uniform quantization method.

[0099] In some implementations, when the second reported quantity is a second indicator, the method further includes: the terminal reporting the second indicator; wherein the second indicator is reported using a fourth quantification method, or a fifth quantification method, or a sixth quantification method.

[0100] The following explains several methods for quantifying the second indicator.

[0101] Method 4: In the fourth quantization method, the quantization range is from d×N to e×N, and the quantization step size is f or Where d is a predefined value; e is a predefined value; f is a predefined value; g is a predefined value; and N is the first quantity.

[0102] Here, the range from d×N to e×N can be represented as [d×N, e×N], which represents the range greater than or equal to d×N and less than or equal to e×N.

[0103] Here, the meaning of the first quantity can be referred to in the above description.

[0104] Here, 0≤d≤1, 0≤e≤1, 0≤f≤1, 0≤g≤1.

[0105] In one example, N = 30, d = 0, e = 1, then the quantization range is from 0 to 30; f = 1, then the quantization step size is 1; the quantized values ​​are 0, 1, 2, ..., 28, 29, 30. The quantized values ​​need to be... Bit representation, the number of quantized bits is related to N.

[0106] In one example, N = 30, d = 0, e = 1, then the quantization range is from 0 to 30; g = 1 / 6, then the quantization step size is... The quantized values ​​are 0, 5, 10, 15, 20, 25, and 30. The quantized values ​​need to be... Bit representation, the number of quantized bits is independent of N.

[0107] Method four described above is a uniform quantization method.

[0108] Method 5: In the fifth quantization method, the quantization range is from h to j×N, and the quantized value is l. i ×(j×Nh)+h, i=0,1,2,...,N1; where h is a predefined value; j is a predefined value; li It is a predefined value; N1 is a predefined number of quantization levels; N is the first quantity.

[0109] Here, the range from h to j×N can be represented as [h, j×N], which represents the range greater than or equal to h and less than or equal to j×N.

[0110] Here, the meaning of the first quantity can be referred to in the above description.

[0111] Here, 0≤h≤1, 0≤j≤1.

[0112] Method 5 described above is a non-uniform quantization method.

[0113] Method 6: In the sixth quantization method, the quantized value is k∈{0,1,2,…,K′}, corresponding to K′+1 quantization levels.

[0114] In some implementations, k and m have a mapping relationship, and the second index is Nm; where N is the first quantity.

[0115] Here, the meaning of the first quantity can be referred to in the above description.

[0116] In some implementations, the mapping relationship is predefined. In one example, the mapping relationship is shown in Table 3. Based on this mapping relationship and the value of k, the value of m can be determined. Based on the value of m, a first index value can be determined, where the second index is Nm.

[0117] Table 3 Mapping relationship between k and m

[0118] k m 0 1 1 2 2 4 3 8 4 16

[0119] Method 3 described above is a non-uniform quantization method.

[0120] The technical solution of this application embodiment defines a calculation method for the new reporting quantity of the model monitoring—the first indicator / second indicator. By designing various quantization methods for the first indicator / second indicator (including uniform quantization method, non-uniform quantization method, and quantization method with variable quantization range), differentiated quantization accuracy of different first indicators / second indicators is achieved and the reporting overhead is reduced.

[0121] Figure 3 This is a flowchart illustrating the reporting method provided in the embodiments of this application. Figure 2 ,like Figure 3 As shown, the reporting method includes the following steps:

[0122] Step 301: The network sends a first reporting configuration and / or a second reporting configuration; wherein the first reporting configuration includes at least one of the following: a first measurement resource set, a prediction resource set, a prediction time number, a prediction time interval, a prediction time duration, and a first reporting quantity; the second reporting configuration includes at least one of the following: a first reporting configuration ID, a second measurement resource set, a second reporting quantity which is a first indicator or a second indicator, a first window time length, and a first quantity, wherein the first window time length is the monitoring window time length or the measurement window time length, and the first quantity is the number of cycles of the second measurement resource set, or the number of first opportunities, or the number of inference or prediction results associated with the measurement results of the first opportunity, or the number of inference or prediction results associated with the first opportunity, or the number of prediction times associated with the first opportunity.

[0123] In this embodiment of the application, the specific implementation of the first reporting configuration can be referred to the foregoing. Figure 2 Description of the relevant solutions.

[0124] In this embodiment of the application, the specific implementation of the second reporting configuration can be referred to the foregoing. Figure 2 Description of the relevant solutions.

[0125] In some implementations, when the second reported quantity is the first indicator, the method further includes: the first indicator reported by the network receiving terminal; wherein the first indicator is reported using a first quantization method, or a second quantization method, or a third quantization method.

[0126] The following explains several methods for quantifying the first indicator.

[0127] Method 1: In the first quantization method, the quantization range is from X to Y, and the quantization step size is S; where X and Y are predefined values; S is a predefined value, or N is the first quantity; a is a predefined value.

[0128] Method 2: In the second quantization method, the quantization range is from X to Y, and the quantized value is b. i ×(YX)+X, i=0,1,2,...,N1; where X and Y are predefined values; b i It is a predefined value; N1 is a predefined number of quantization levels.

[0129] Method 3: In the third quantization method, the quantized value is k∈{0,1,2,…,K′}, corresponding to K′+1 quantization levels.

[0130] In some implementations, k and c have a mapping relationship, with the first index being 1-c. Where 0≤c≤1.

[0131] In some implementations, when the second reported quantity is a second indicator, the method further includes: a second indicator reported by a network receiving terminal; wherein the second indicator is reported using a fourth quantization method, or a fifth quantization method, or a sixth quantization method.

[0132] The following explains several methods for quantifying the second indicator.

[0133] Method 4: In the fourth quantization method, the quantization range is from d×N to e×N, and the quantization step size is f or Where d is a predefined value; e is a predefined value; f is a predefined value; g is a predefined value; and N is the first quantity.

[0134] Method 5: In the fifth quantization method, the quantization range is from h to j×N, and the quantized value is l. i ×(j×Nh)+h, i=0,1,2,...,N1; where h is a predefined value; j is a predefined value; l i It is a predefined value; N1 is a predefined number of quantization levels; N is the first quantity.

[0135] Method 6: In the sixth quantization method, the quantized value is k∈{0,1,2,…,K′}, corresponding to K′+1 quantization levels.

[0136] In some implementations, k and m have a mapping relationship, and the second index is Nm; where N is the first quantity.

[0137] The specific implementation of the various quantification methods mentioned above can be referred to the foregoing. Figure 2 Description of the relevant solutions.

[0138] After receiving the first / second indicator, the network can determine whether to trigger a model update / model switch / revert to traditional beam management.

[0139] Figure 4 This is a schematic diagram of the structural composition of the communication device provided in the embodiments of this application. Figure 1 Applied to terminals, such as Figure 4 As shown, the communication device includes:

[0140] The receiving unit 401 is used to receive the first reporting configuration and / or the second reporting configuration;

[0141] The first reporting configuration includes at least one of the following: a first measurement resource set, a prediction resource set, a prediction time number, a prediction time interval, a prediction time duration, and a first reporting quantity; the second reporting configuration includes at least one of the following: a first reporting configuration ID, a second measurement resource set, a second reporting quantity which is a first indicator or a second indicator, a first window time length, and a first quantity, wherein the first window time length is a monitoring window time length or a measurement window time length, and the first quantity is the number of cycles of the second measurement resource set, or the number of first opportunities, or the number of inference or prediction results associated with the measurement results of the first opportunity, or the number of inference or prediction results associated with the first opportunity, or the number of prediction times associated with the first opportunity.

[0142] In some implementations, the first indicator is determined based on a first parameter and a second parameter; the first parameter is the first quantity; the second parameter represents the number of inference or prediction results that satisfy the first condition among the first quantity of inference or prediction results; wherein,

[0143] The first number of inference or prediction results include: the inference or prediction result corresponding to the prediction time associated with each of the first time points; or,

[0144] The first number of inference or prediction results include: the inference or prediction result corresponding to the CSI reference resource of the first reporting configuration associated with each of the first time points; or,

[0145] The first number of inference or prediction results include: the inference or prediction result associated with each first time point in the first number of first time points.

[0146] In some implementations, the first index is determined based on a first parameter and a second parameter, including:

[0147] The first index is equal to the second parameter divided by the first parameter.

[0148] In some implementations, the first parameter is predefined, configured via RRC, or determined by the first window duration and the second measurement resource set period.

[0149] In some implementations, the second index is determined based on a second parameter; the second parameter represents the number of inference or prediction results that satisfy the first condition among a first number of inference or prediction results; wherein,

[0150] The first number of inference or prediction results include: the inference or prediction result corresponding to the prediction time associated with each of the first time points; or,

[0151] The first number of inference or prediction results include: the inference or prediction result corresponding to the CSI reference resource of the first reporting configuration associated with each of the first time points; or,

[0152] The first number of inference or prediction results include: the inference or prediction result associated with each first time point in the first number of first time points.

[0153] In some implementations, the reasoning or prediction result includes at least one of the following:

[0154] The first K best reference signals predicted by the second measurement resource set or the prediction resource set, where K ≥ 1;

[0155] The first K best reference signals predicted in the prediction resource set are associated with L reference signals in the second measurement resource set.

[0156] In some implementations, the first condition includes at least one of the following conditions:

[0157] Among the top M best quality reference signals in the second measurement resource set measured at the first timing, there exists at least one reference signal that belongs to the inference or prediction result associated with the first timing.

[0158] In the inference or prediction results associated with the first timing, there exists at least one reference signal that belongs to the top M best quality reference signals of the second measurement resource set of the first timing measurement;

[0159] In the inference or prediction results associated with the first timing, the difference between the maximum value of the measured reference signal quality and the quality of the first best reference signal in the second measurement resource set measured at the first timing is less than a first threshold.

[0160] In some implementations, K and M are configured via RRC, where K is greater than or equal to 1 and M is greater than or equal to 1; and / or, the quality of the reference signal is RSRP or RSRQ; and / or, the predicted best reference signal is the predicted reference signal with the best quality or the reference signal with the highest probability of becoming the best quality reference signal; and / or, the first threshold is predefined or configured via RRC; and / or, the correlation between the predicted resource set reference signal and the second measurement resource set reference signal is predefined or configured via RRC.

[0161] In some implementations, the measurement result corresponding to the first timing and the inference or prediction result corresponding to the prediction time associated with the first timing are used to calculate the first indicator or the second indicator; and / or, the measurement result corresponding to the first timing and the inference or prediction result corresponding to the CSI reference resource of the first reporting configuration associated with the first timing are used to calculate the first indicator or the second indicator; and / or, if the first timing or the prediction time associated with the first timing or the CSI reference resource of the first reporting configuration associated with the first timing is after the CSI reference resource of the second reporting configuration, then the inference or prediction result corresponding to the first timing or the prediction time associated with the first timing is not used for the calculation of the first indicator or the second indicator.

[0162] In some implementations, a first timing event is associated with one or more prediction times that are closest in time to the first timing event; and / or, a measurement result of a first timing event is associated with the inference or prediction result of one or more prediction times that are closest in time to the first timing event; and / or, a first timing event is associated with the inference or prediction result of one or more prediction times that are closest in time to the first timing event; and / or, a first timing event is associated with the CSI reference resource of the first reporting configuration that is closest in time to the first timing event; and / or, a first timing event is associated with the inference or prediction result of the CSI reference resource of the first reporting configuration that is closest in time to the first timing event.

[0163] In some implementations, the association of a first timing point with one or more prediction times that are most close to the first timing point in time is configured by RRC; and / or, the association of a measurement result of a first timing point with the inference or prediction result of one or more prediction times that are most close to the first timing point in time is configured by RRC; and / or, the association of a first timing point with the inference or prediction result of one or more prediction times that are most close to the first timing point in time is configured by RRC.

[0164] In some implementations, the first timing refers to the timing of the transmission of the second measurement resource set.

[0165] In some embodiments, the apparatus further includes a sending unit 402 for reporting a first indicator; wherein the first indicator is reported using a first quantization method, or a second quantization method, or a third quantization method.

[0166] In some implementations, in the first quantization method, the quantization range is from X to Y, and the quantization step size is S; where X and Y are predefined values; and S is a predefined value, or N is the first quantity; a is a predefined value.

[0167] In some implementations, in the second quantization method, the quantization range is from X to Y, and the quantized value is b. i ×(YX)+X, i=0,1,2,...,N1; where X and Y are predefined values; b i It is a predefined value; N1 is a predefined number of quantization levels.

[0168] In some implementations, in the third quantization method, the quantized value is K∈{0,1,2,…,k′}, corresponding to k′+1 quantization levels.

[0169] In some implementations, k and c have a mapping relationship, and the first index is 1-c.

[0170] In some embodiments, the apparatus further includes a sending unit 402 for reporting a second indicator; wherein the second indicator is reported using a fourth quantization method, or a fifth quantization method, or a sixth quantization method.

[0171] In some implementations, in the fourth quantization method, the quantization range is from d×N to e×N, and the quantization step size is f or Where d is a predefined value; e is a predefined value; f is a predefined value; g is a predefined value; and N is the first quantity.

[0172] In some implementations, in the fifth quantization method, the quantization range is from h to j×N, and the quantized value is l. i ×(j×Nh)+h, i=0,1,2,...,N1; where h is a predefined value; j is a predefined value; l i N1 is a predefined value; N1 is a predefined number of quantization levels; N is the first quantity.

[0173] In some implementations, in the sixth quantization method, the quantized value is k∈{0,1,2,…,K′}, corresponding to K′+1 quantization levels.

[0174] In some implementations, k and m have a mapping relationship, and the second index is Nm; where N is the first quantity.

[0175] Those skilled in the art should understand that Figure 4 The functions of each unit in the communication device shown can be understood by referring to the relevant description of the aforementioned method. Figure 4 The functions of each unit in the communication device shown can be implemented by a program running on a processor or by specific logic circuits.

[0176] Figure 5 This is a schematic diagram of the structural composition of the communication device provided in the embodiments of this application. Figure 2 Applied to network devices, such as Figure 5 As shown, the communication device includes:

[0177] The sending unit 501 is used to send the first reporting configuration and / or the second reporting configuration;

[0178] The first reporting configuration includes at least one of the following: a first measurement resource set, a prediction resource set, a prediction time number, a prediction time interval, a prediction time duration, and a first reporting quantity; the second reporting configuration includes at least one of the following: a first reporting configuration ID, a second measurement resource set, a second reporting quantity which is a first indicator or a second indicator, a first window time length, and a first quantity, wherein the first window time length is a monitoring window time length or a measurement window time length, and the first quantity is the number of cycles of the second measurement resource set, or the number of first opportunities, or the number of inference or prediction results associated with the measurement results of the first opportunity, or the number of inference or prediction results associated with the first opportunity, or the number of prediction times associated with the first opportunity.

[0179] In some embodiments, the apparatus further includes a receiving unit 502, configured to receive a first indicator reported by a terminal; wherein the first indicator is reported using a first quantization method, or a second quantization method, or a third quantization method.

[0180] In some implementations, in the first quantization method, the quantization range is from X to Y, and the quantization step size is S; where X and Y are predefined values; and S is a predefined value, or N is the first quantity; a is a predefined value.

[0181] In some implementations, in the second quantization method, the quantization range is from X to Y, and the quantized value is b. i ×(YX)+X, i=0,1,2,...,N1; where X and Y are predefined values; b i It is a predefined value; N1 is a predefined number of quantization levels.

[0182] In some implementations, in the third quantization method, the quantized value is k∈{0,1,2,…,K′}, corresponding to K′+1 quantization levels.

[0183] In some implementations, k and c have a mapping relationship, and the first index is 1-c.

[0184] In some embodiments, the apparatus further includes a receiving unit 502, configured to receive a second indicator reported by the terminal; wherein the second indicator is reported using a fourth quantization method, a fifth quantization method, or a sixth quantization method.

[0185] In some implementations, in the fourth quantization method, the quantization range is from d×N to e×N, and the quantization step size is f or Where d is a predefined value; e is a predefined value; f is a predefined value; g is a predefined value; and N is the first quantity.

[0186] In some implementations, in the fifth quantization method, the quantization range is from h to j×N, and the quantized value is l. i ×(j×Nh)+h, i=0,1,2,...,N1; where h is a predefined value; j is a predefined value; l i N1 is a predefined value; N1 is a predefined number of quantization levels; N is the first quantity.

[0187] In some implementations, in the sixth quantization method, the quantized value is k∈{0,1,2,…,K′}, corresponding to K′+1 quantization levels.

[0188] In some implementations, k and m have a mapping relationship, and the second index is Nm; where N is the first quantity.

[0189] Those skilled in the art should understand that Figure 5 The functions of each unit in the communication device shown can be understood by referring to the relevant description of the aforementioned method. Figure 5 The functions of each unit in the communication device shown can be implemented by a program running on a processor or by specific logic circuits.

[0190] Figure 6 This is a schematic structural diagram of a communication device 600 provided in an embodiment of this application. The communication device can be a terminal or a network device. Figure 6 The communication device 600 shown includes a processor 610, which can call and run computer programs from memory to implement the methods in the embodiments of this application.

[0191] Optionally, such as Figure 6 As shown, the communication device 600 may further include a memory 620. The processor 610 can retrieve and run computer programs from the memory 620 to implement the methods described in this embodiment.

[0192] The memory 620 can be a separate device independent of the processor 610, or it can be integrated into the processor 610.

[0193] Optionally, such as Figure 6As shown, the communication device 600 may also include a transceiver 630, and the processor 610 may control the transceiver 630 to communicate with other devices. Specifically, it may send information or data to other devices or receive information or data sent by other devices.

[0194] The transceiver 630 may include a transmitter and a receiver. The transceiver 630 may further include antennas, and the number of antennas may be one or more.

[0195] Optionally, the communication device 600 may specifically be a network device in the embodiments of this application, and the communication device 600 may implement the corresponding processes implemented by the network device in the various methods of the embodiments of this application. For the sake of brevity, it will not be described in detail here.

[0196] Optionally, the communication device 600 may specifically be a terminal in the embodiments of this application, and the communication device 600 may implement the corresponding processes implemented by the terminal in the various methods of the embodiments of this application. For the sake of brevity, it will not be described in detail here.

[0197] Figure 7 This is a schematic structural diagram of the chip according to an embodiment of this application. Figure 7 The chip 700 shown includes a processor 710, which can call and run computer programs from memory to implement the methods in the embodiments of this application.

[0198] Optionally, such as Figure 7 As shown, chip 700 may further include memory 720. Processor 710 can retrieve and run computer programs from memory 720 to implement the methods described in this embodiment.

[0199] The memory 720 can be a separate device independent of the processor 710, or it can be integrated into the processor 710.

[0200] Optionally, the chip 700 may also include an input interface 730. The processor 710 can control the input interface 730 to communicate with other devices or chips; specifically, it can acquire information or data sent by other devices or chips.

[0201] Optionally, the chip 700 may also include an output interface 740. The processor 710 can control the output interface 740 to communicate with other devices or chips, specifically, to output information or data to other devices or chips.

[0202] Optionally, the chip can be applied to the network device in the embodiments of this application, and the chip can implement the corresponding processes implemented by the network device in the various methods of the embodiments of this application. For the sake of brevity, it will not be described in detail here.

[0203] Optionally, the chip can be applied to the terminal in the embodiments of this application, and the chip can implement the corresponding processes implemented by the terminal in the various methods of the embodiments of this application. For the sake of brevity, it will not be described in detail here.

[0204] It should be understood that the chip mentioned in the embodiments of this application may also be referred to as a system-on-a-chip, system chip, chip system, or system-on-a-chip, etc.

[0205] It should be understood that the processor in the embodiments of this application may be an integrated circuit chip with signal processing capabilities. In implementation, the steps of the above method embodiments can be completed by integrated logic circuits in the processor's hardware or by instructions in software form. The processor described above can be 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 devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor can be a microprocessor or any conventional processor. The steps of the methods disclosed in the embodiments of this application can be directly embodied in the execution of a hardware decoding processor, or executed by a combination of hardware and software modules in the decoding processor. The software modules can be located in random access memory, flash memory, read-only memory, programmable read-only memory, electrically erasable programmable memory, registers, or other mature storage media in the art. The storage medium is located in memory, and the processor reads information from the memory and, in conjunction with its hardware, completes the steps of the above method.

[0206] It is understood that the memory in the embodiments of this application can be volatile memory or non-volatile memory, or may include both volatile and non-volatile memory. The non-volatile memory can be read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), or flash memory. The volatile memory can be random access memory (RAM), which is used as an external cache. By way of example, but not limitation, many forms of RAM are available, such as Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDR SDRAM), Enhanced Synchronous DRAM (ESDRAM), Synchlink DRAM (SLDRAM), and Direct Rambus RAM (DR RAM). It should be noted that the memory used in the systems and methods described herein is intended to include, but is not limited to, these and any other suitable types of memory.

[0207] It should be understood that the above-described memory is exemplary and not a limiting description. For example, the memory in the embodiments of this application may also be static random access memory (SRAM), dynamic random access memory (DRAM), synchronous dynamic random access memory (SDRAM), double data rate synchronous dynamic random access memory (DDR SDRAM), enhanced synchronous dynamic random access memory (ESDRAM), synchronous link dynamic random access memory (SLDRAM), and direct memory bus RAM (DR RAM), etc. That is to say, the memory in the embodiments of this application is intended to include, but is not limited to, these and any other suitable types of memory.

[0208] This application also provides a computer-readable storage medium for storing computer programs.

[0209] Optionally, the computer-readable storage medium can be applied to the network device in the embodiments of this application, and the computer program causes the computer to execute the corresponding processes implemented by the network device in the various methods of the embodiments of this application. For the sake of brevity, it will not be described in detail here.

[0210] Optionally, the computer-readable storage medium can be applied to the terminal in the embodiments of this application, and the computer program causes the computer to execute the corresponding processes implemented by the terminal in the various methods of the embodiments of this application. For the sake of brevity, it will not be described in detail here.

[0211] This application also provides a computer program product, including computer program instructions.

[0212] Optionally, the computer program product can be applied to the network device in the embodiments of this application, and the computer program instructions cause the computer to execute the corresponding processes implemented by the network device in the various methods of the embodiments of this application. For the sake of brevity, they will not be described in detail here.

[0213] Optionally, the computer program product can be applied to the terminal in the embodiments of this application, and the computer program instructions cause the computer to execute the corresponding processes implemented by the terminal in the various methods of the embodiments of this application. For the sake of brevity, they will not be described in detail here.

[0214] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0215] Those skilled in the art will understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0216] In the several embodiments provided in this application, it should be understood that the disclosed systems, apparatuses, and methods can be implemented in other ways. For example, the apparatus embodiments described above are merely illustrative; for instance, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between apparatuses or units may be electrical, mechanical, or other forms.

[0217] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0218] In addition, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0219] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0220] The above description is merely a specific embodiment of this application, but the scope of protection of this application is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this application should be included within the scope of protection of this application.

Claims

1. A reporting method, characterized in that, The method includes: The terminal receives the first reported configuration and / or the second reported configuration; The first reporting configuration includes at least one of the following: a first measurement resource set, a prediction resource set, a prediction time number, a prediction time interval, a prediction time duration, and a first reporting quantity; the second reporting configuration includes at least one of the following: a first reporting configuration ID, a second measurement resource set, a second reporting quantity which is a first indicator or a second indicator, a first window time length, and a first quantity, wherein the first window time length is a monitoring window time length or a measurement window time length, and the first quantity is the number of cycles of the second measurement resource set, or the number of first opportunities, or the number of inference or prediction results associated with the measurement results of the first opportunity, or the number of inference or prediction results associated with the first opportunity, or the number of prediction times associated with the first opportunity.

2. The method according to claim 1, characterized in that, The first indicator is determined based on a first parameter and a second parameter; the first parameter is the first quantity; the second parameter represents the number of inference or prediction results that satisfy the first condition among the first quantity of inference or prediction results; wherein, The first number of inference or prediction results include: the inference or prediction result corresponding to the prediction time associated with each of the first time points; or, The first number of inference or prediction results include: inference or prediction results corresponding to the Channel State Information (CSI) reference resource of the first reporting configuration associated with each of the first number of first opportunities; or, The first number of inference or prediction results include: the inference or prediction result associated with each first time point in the first number of first time points.

3. The method according to claim 2, characterized in that, The first indicator is determined based on a first parameter and a second parameter, including: The first index is equal to the second parameter divided by the first parameter.

4. The method according to claim 2, characterized in that, The first parameter is predefined, configured via Radio Resource Control (RRC), or determined by the first window duration and the second measurement resource set period.

5. The method according to claim 1, characterized in that, The second indicator is determined based on a second parameter; the second parameter represents the number of inference or prediction results that satisfy the first condition among a first number of inference or prediction results; wherein, The first number of inference or prediction results include: the inference or prediction result corresponding to the prediction time associated with each of the first time points; or, The first number of inference or prediction results include: the inference or prediction result corresponding to the CSI reference resource of the first reporting configuration associated with each of the first time points; or, The first number of inference or prediction results include: the inference or prediction result associated with each first time point in the first number of first time points.

6. The method according to claim 2 or 5, characterized in that, The reasoning or prediction result includes at least one of the following: The first K best reference signals predicted by the second measurement resource set or the prediction resource set, where K ≥ 1; The first K best reference signals predicted in the prediction resource set are associated with L reference signals in the second measurement resource set.

7. The method according to claim 2 or 5, characterized in that, The first condition includes at least one of the following conditions: Among the top M best quality reference signals in the second measurement resource set measured at the first timing, there exists at least one reference signal that belongs to the inference or prediction result associated with the first timing. In the inference or prediction results associated with the first timing, there exists at least one reference signal that belongs to the top M best quality reference signals of the second measurement resource set of the first timing measurement; In the inference or prediction results associated with the first timing, the difference between the maximum value of the measured reference signal quality and the quality of the first best reference signal in the second measurement resource set measured at the first timing is less than a first threshold.

8. The method according to claim 6 or 7, characterized in that, K and M are configured via RRC, where K is greater than or equal to 1 and M is greater than or equal to 1. And / or, The quality of the reference signal is either the reference signal received power RSRP or the reference signal received quality RSRQ. And / or, The best predicted reference signal is the reference signal with the best predicted quality or the reference signal with the highest probability of becoming the reference signal with the best predicted quality. And / or, The first threshold is predefined or configured via RRC; And / or, The correlation between the predicted resource set reference signal and the second measurement resource set reference signal is predefined or configured via RRC.

9. The method according to any one of claims 1, 2, and 5, characterized in that, The measurement results corresponding to the first timing point and the inference or prediction results corresponding to the prediction time associated with the first timing point are used to calculate the first indicator or the second indicator; And / or, The measurement results corresponding to the first timing and the inference or prediction results corresponding to the CSI reference resource of the first reporting configuration associated with the first timing are used to calculate the first indicator or the second indicator. And / or, If the first timing or the prediction time associated with the first timing or the CSI reference resource of the first reporting configuration associated with the first timing is after the CSI reference resource of the second reporting configuration, then the inference or prediction result corresponding to the first timing or the prediction time associated with the first timing will not be used for the calculation of the first indicator or the second indicator.

10. The method according to any one of claims 1, 2, and 5, characterized in that, A first opportunity is associated with one or more prediction times that are closest in time to that first opportunity; and / or, A measurement result of a first timing point is correlated with the inference or prediction results of one or more prediction times that are temporally closest to that first timing point; and / or, A first opportunity is correlated with the inference or prediction results of one or more prediction times that are closest in time to that first opportunity; and / or, Associating a first opportunity with the CSI reference resource of the first reporting configuration that is closest in time to that first opportunity; and / or, A first opportunity is correlated with the inference or prediction results of the CSI reference resource that is closest in time to that first opportunity.

11. The method according to claim 10, characterized in that, The association of a first opportunity with one or more prediction times that are temporally closest to that first opportunity is configured by RRC; and / or, The correlation between the measurement result of a first timing point and the inference or prediction results of one or more prediction times that are temporally closest to that first timing point is configured by RRC; and / or, The association of a first opportunity with the inference or prediction results of one or more prediction times that are closest in time to the first opportunity is configured by RRC.

12. The method according to any one of claims 1 to 5, characterized in that, The first timing refers to the timing of the transmission of the second measurement resource set.

13. The method according to any one of claims 1 to 5, characterized in that, The method further includes: The terminal reports a first indicator; wherein the first indicator is reported using a first quantification method, or a second quantification method, or a third quantification method.

14. The method according to claim 13, characterized in that, In the first quantization method, the quantization range is from X to Y, and the quantization step size is S; Where X and Y are predefined values; S is a predefined value, or N is the first quantity; a is a predefined value.

15. The method according to claim 13, characterized in that, In the second quantization method, the quantization range is from X to Y, and the quantized value is b. i ×(YX)+X, i=0,1,2,...,N1; Where X and Y are predefined values; b i It is a predefined value; N1 is a predefined number of quantization levels.

16. The method according to claim 13, characterized in that, In the third quantization method, the quantized value is k∈{0,1,2,…,K′}, corresponding to K′+1 quantization levels.

17. The method according to claim 16, characterized in that, The k and c have a mapping relationship, and the first index is 1-c.

18. The method according to any one of claims 1 to 5, characterized in that, The method further includes: The terminal reports a second indicator; wherein the second indicator is reported using a fourth quantification method, or a fifth quantification method, or a sixth quantification method.

19. The method according to claim 18, characterized in that, In the fourth quantization method, the quantization range is from d×N to e×N, and the quantization step size is f or Where d is a predefined value; e is a predefined value; f is a predefined value; g is a predefined value; and N is the first quantity.

20. The method according to claim 18, characterized in that, In the fifth quantization method, the quantization range is from h to j×N, and the quantized value is l. i ×(j×Nh)+h, i=0,1,2,...,N1; Where h is a predefined value; j is a predefined value; l i N1 is a predefined value; N1 is a predefined number of quantization levels; N is the first quantity.

21. The method according to claim 18, characterized in that, In the sixth quantization method, the quantized value is k∈{0,1,2,…,K′}, corresponding to K′+1 quantization levels.

22. The method according to claim 21, characterized in that, The k and m have a mapping relationship, and the second index is Nm; Where N is the first quantity.

23. A reporting method, characterized in that, The method includes: The network sends the first reported configuration and / or the second reported configuration; The first reporting configuration includes at least one of the following: a first measurement resource set, a prediction resource set, a prediction time number, a prediction time interval, a prediction time duration, and a first reporting quantity; the second reporting configuration includes at least one of the following: a first reporting configuration ID, a second measurement resource set, a second reporting quantity which is a first indicator or a second indicator, a first window time length, and a first quantity, wherein the first window time length is a monitoring window time length or a measurement window time length, and the first quantity is the number of cycles of the second measurement resource set, or the number of first opportunities, or the number of inference or prediction results associated with the measurement results of the first opportunity, or the number of inference or prediction results associated with the first opportunity, or the number of prediction times associated with the first opportunity.

24. The method according to claim 23, characterized in that, The method further includes: The first indicator reported by the network receiving terminal; wherein the first indicator is reported using a first quantization method, or a second quantization method, or a third quantization method.

25. The method according to claim 24, characterized in that, In the first quantization method, the quantization range is from X to Y, and the quantization step size is S; Where X and Y are predefined values; S is a predefined value, or N is the first quantity; a is a predefined value.

26. The method according to claim 24, characterized in that, In the second quantization method, the quantization range is from X to Y, and the quantized value is b. i ×(YX)+X, i=0,1,2,...,N1; Where X and Y are predefined values; b i It is a predefined value; N1 is a predefined number of quantization levels.

27. The method according to claim 24, characterized in that, In the third quantization method, the quantized value is k∈{0,1,2,…,K′}, corresponding to K′+1 quantization levels.

28. The method according to claim 27, characterized in that, The k and c have a mapping relationship, and the first index is 1-c.

29. The method according to claim 23, characterized in that, The method further includes: The second indicator reported by the network receiving terminal; wherein the second indicator is reported using a fourth quantization method, or a fifth quantization method, or a sixth quantization method.

30. The method according to claim 29, characterized in that, In the fourth quantization method, the quantization range is from d×N to e×N, and the quantization step size is f or Where d is a predefined value; e is a predefined value; f is a predefined value; g is a predefined value; and N is the first quantity.

31. The method according to claim 29, characterized in that, In the fifth quantization method, the quantization range is from h to j×N, and the quantized value is l. i ×(j×Nh)+h, i=0,1,2,...,N1; Where h is a predefined value; j is a predefined value; l i N1 is a predefined value; N1 is a predefined number of quantization levels; N is the first quantity.

32. The method according to claim 29, characterized in that, In the sixth quantization method, the quantized value is k∈{0,1,2,…,K′}, corresponding to K′+1 quantization levels.

33. The method according to claim 32, characterized in that, The k and m have a mapping relationship, and the second index is Nm; Where N is the first quantity.

34. A communication device, characterized in that, Applied to a terminal, the device includes: A receiving unit is configured to receive a first reporting configuration and / or a second reporting configuration. The first reporting configuration includes at least one of the following: a first measurement resource set, a prediction resource set, a prediction time number, a prediction time interval, a prediction time duration, and a first reporting quantity; the second reporting configuration includes at least one of the following: a first reporting configuration ID, a second measurement resource set, a second reporting quantity which is a first indicator or a second indicator, a first window time length, and a first quantity, wherein the first window time length is a monitoring window time length or a measurement window time length, and the first quantity is the number of cycles of the second measurement resource set, or the number of first opportunities, or the number of inference or prediction results associated with the measurement results of the first opportunity, or the number of inference or prediction results associated with the first opportunity, or the number of prediction times associated with the first opportunity.

35. A communication device, characterized in that, Applied to network devices, the device includes: A sending unit is used to send the first reporting configuration and / or the second reporting configuration; The first reporting configuration includes at least one of the following: a first measurement resource set, a prediction resource set, a prediction time number, a prediction time interval, a prediction time duration, and a first reporting quantity; the second reporting configuration includes at least one of the following: a first reporting configuration ID, a second measurement resource set, a second reporting quantity which is a first indicator or a second indicator, a first window time length, and a first quantity, wherein the first window time length is a monitoring window time length or a measurement window time length, and the first quantity is the number of cycles of the second measurement resource set, or the number of first opportunities, or the number of inference or prediction results associated with the measurement results of the first opportunity, or the number of inference or prediction results associated with the first opportunity, or the number of prediction times associated with the first opportunity.

36. A communication device, characterized in that, include: A processor and a memory for storing a computer program, the processor for calling and running the computer program stored in the memory to perform the method as described in any one of claims 1 to 33.

37. A computer-readable storage medium, characterized in that, Used to store a computer program that causes a computer to perform the method as described in any one of claims 1 to 33.

38. A computer program product, characterized in that, It includes computer program instructions that cause a computer to perform the method as described in any one of claims 1 to 33.

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