Communication methods, network devices, terminals, communication system and storage medium

Abstract

The present disclosure provides communication methods, network devices, terminals, a communication system and a storage medium. A method comprises: a network device sends configuration information to a terminal, the configuration information being used for configuring for the terminal at least one group of first reference signals (RSs), and the at least one group of first RSs being used by the terminal to conduct performance monitoring on an artificial intelligence (AI) or machine learning (ML)-based prediction model. In the method of the present disclosure, the network device sends the configuration information to the terminal to configure for the terminal the first RSs used for performance monitoring for the AI or ML-based prediction model, such that the terminal can perform measurement on the basis of the corresponding first RSs so as to conduct performance monitoring on the prediction model.

Description

Communication method, network device, terminal, communication system and storage medium Technical Field

[0001] The present disclosure relates to the field of communication technologies, and in particular to a communication method, network equipment, terminal, communication system, and storage medium. Background Art

[0002] In artificial intelligence (AI) or machine learning (ML)-based enhancements, on-device models can be used for time-domain prediction. Prediction can include different processing stages, such as training the prediction model, inference, and monitoring, where the terminal can monitor or supervise the model's performance.

[0003] Summary of the Invention

[0004] During the performance monitoring phase of the prediction model, the network device may not send the measurement resources at the corresponding reporting time, which affects the monitoring process.

[0005] The present disclosure provides a communication method, a network device, a terminal, a communication system, and a storage medium.

[0006] In a first aspect, an embodiment of the present disclosure provides a communication method, including:

[0007] The network device sends configuration information to the terminal, where the configuration information is used to configure at least one set of first reference signals (RS) for the terminal, and the at least one set of first RS is used by the terminal to perform performance monitoring of a prediction model based on artificial intelligence (AI) or machine learning (ML).

[0008] In a second aspect, an embodiment of the present disclosure provides a communication method, including:

[0009] The terminal receives configuration information sent by the network device, where the configuration information is used to configure at least one group of first RSs for the terminal, and the at least one group of first RSs is used by the terminal to perform performance monitoring of a prediction model based on AI or ML.

[0010] In a third aspect, an embodiment of the present disclosure provides a network device, including:

[0011] The transceiver module is used to send configuration information to the terminal, where the configuration information is used to configure at least one set of first reference signals (RS) for the terminal, and the at least one set of first RS is used by the terminal to perform performance monitoring of a prediction model based on artificial intelligence (AI) or machine learning (ML).

[0012] In a fourth aspect, an embodiment of the present disclosure provides a terminal, including:

[0013] The transceiver module is used to receive configuration information sent by the network device, where the configuration information is used to configure at least one group of first RSs for the terminal, and the at least one group of first RSs is used by the terminal to perform performance monitoring of the AI ​​or ML-based prediction model.

[0014] In a fifth aspect, an embodiment of the present disclosure provides a network device, including:

[0015] one or more processors;

[0016] Wherein, the network device executes the method of the first aspect.

[0017] In a sixth aspect, an embodiment of the present disclosure provides a terminal, including:

[0018] one or more processors;

[0019] Wherein, the terminal executes the method of the second aspect.

[0020] In a seventh aspect, an embodiment of the present disclosure provides a communication system, comprising a network device and a terminal, wherein the network device is configured to implement the method of the first aspect, and the terminal is configured to implement the method of the second aspect.

[0021] In an eighth aspect, an embodiment of the present disclosure provides a storage medium storing instructions, which, when executed on a communication device, enables the communication device to execute the method of the first aspect or the second aspect.

[0022] In the method disclosed herein, the network device sends configuration information to the terminal, thereby configuring a first RS for the terminal for performance monitoring of an AI or ML-based prediction model, so that the terminal can perform measurements according to the corresponding first RS to perform performance monitoring of the prediction model. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure, the following drawings required for describing the embodiments are introduced. The following drawings are merely some embodiments of the present disclosure and do not impose specific limitations on the protection scope of the present disclosure.

[0024] FIG1a is an exemplary schematic diagram of the architecture of a communication system provided according to an embodiment of the present disclosure;

[0025] FIG1b is a schematic diagram of CSI prediction provided according to an embodiment of the present disclosure;

[0026] FIG2 is an exemplary interaction diagram of a method provided according to an embodiment of the present disclosure;

[0027] 3a to 3d are exemplary flowcharts of a method according to an embodiment of the present disclosure;

[0028] 4a to 4e are exemplary flowcharts of a method according to an embodiment of the present disclosure;

[0029] FIG5a is a schematic structural diagram of a terminal according to an embodiment of the present disclosure;

[0030] FIG5b is a schematic structural diagram of a network device according to an embodiment of the present disclosure;

[0031] FIG6a is a schematic diagram of a communication device according to an embodiment of the present disclosure;

[0032] FIG6 b is a schematic diagram of a communication device according to an embodiment of the present disclosure. DETAILED DESCRIPTION

[0033] The present disclosure provides a communication method, a network device, a terminal, a communication system, and a storage medium.

[0034] In a first aspect, an embodiment of the present disclosure provides a communication method, including:

[0035] The network device sends configuration information to the terminal, where the configuration information is used to configure at least one set of first reference signals (RS) for the terminal, and the at least one set of first RS is used by the terminal to perform performance monitoring of a prediction model based on artificial intelligence (AI) or machine learning (ML).

[0036] In the above embodiment, the network device sends configuration information to the terminal, thereby configuring the first RS for the terminal for performance monitoring of the prediction model based on AI or ML, so that the terminal can perform measurements according to the corresponding first RS to perform performance monitoring of the prediction model.

[0037] In combination with some embodiments of the first aspect, in some embodiments, the prediction model is used for time domain prediction of channel state information CSI.

[0038] In the above embodiment, the network device may configure a first RS for the terminal for use in the supervision phase of AI- or ML-based CSI prediction to supervise the performance of the CSI prediction model so that the performance of the CSI prediction model can be known or adjusted in a timely manner.

[0039] In combination with some embodiments of the first aspect, in some embodiments, at least one group of first RSs is used for terminal measurement to obtain a control CSI corresponding to a supervision phase of a CSI time domain prediction model.

[0040] In the above embodiment, the first RS configured by the network device for the terminal is used for the terminal to obtain the measured CSI corresponding to the supervision phase. The measured CSI can be used as the reference CSI to facilitate the terminal to perform model performance analysis.

[0041] In combination with some embodiments of the first aspect, in some embodiments, the first RS includes one or more resources, and each resource has a corresponding resource identifier.

[0042] In the above embodiment, the network device may configure one or more resources as the first RS so that the terminal can implement measurement in the supervision phase, and may distinguish the resources through corresponding resource identifiers.

[0043] With reference to some embodiments of the first aspect, in some embodiments, the first RS includes one or more first resource sets;

[0044] Each first resource set includes one or more resources.

[0045] In the above embodiment, the network device may configure at least one first resource set as a first RS, thereby performing resource configuration for the user equipment.

[0046] In combination with some embodiments of the first aspect, in some embodiments, the first RS includes one or more first resource configurations, and each first resource configuration includes one or more first resource sets.

[0047] In the above embodiment, the network device may configure resources for the user equipment by configuring the first resource configuration and configuring a corresponding resource set in the first resource configuration.

[0048] In conjunction with some embodiments of the first aspect, in some embodiments, the first resource set is at least one of the following:

[0049] Non-zero power channel state information reference signal NZP-CSI-RS resource set;

[0050] Channel state information synchronization signal block CSI-SSB resource set;

[0051] Zero-power channel state information reference signal ZP-CSI-RS resource set;

[0052] Channel state information interference measurement CSI-IM resource set.

[0053] In the above embodiment, when the resource sets configured by the network device are different, the resource sets may include corresponding resources, so that the terminal can perform measurements according to the corresponding resource sets and resources.

[0054] In conjunction with some embodiments of the first aspect, in some embodiments, at least one of the resource, the first set of resources, and the first resource configuration is periodic, semi-static, or non-periodic.

[0055] In the above embodiment, the network device may configure a periodic, semi-static or non-periodic first RS for the terminal, so that the terminal may perform adaptive measurement according to the properties of the first RS.

[0056] In conjunction with some embodiments of the first aspect, in some embodiments, the first RS satisfies at least one of the following:

[0057] The first condition in the time domain;

[0058] The second condition in the frequency domain;

[0059] The third condition in the time-frequency domain;

[0060] The fourth condition on airspace.

[0061] In the above embodiment, the first RS configured by the network device can meet corresponding conditions so that the measured CSI can be compared with the corresponding predicted CSI, which is conducive to improving the accuracy and rationality of performance monitoring in the terminal supervision phase.

[0062] In conjunction with some embodiments of the first aspect, in some embodiments, the first condition includes at least one of the following:

[0063] The first time at which the first RS is located is the same as or differs from the second time within a set range, wherein the second time is a prediction time corresponding to at least part of the prediction result of the prediction model;

[0064] The first period is the same as the second period, wherein the first period is a sending period of the first RS configured by the network device, and the second period is a reporting period of the prediction result indicated by the network device through the first reporting configuration.

[0065] In the above embodiment, the conditions that the first RS configured by the network device satisfies in the time domain are illustrated, so that the measured CSI corresponding to the first RS reasonably corresponds to the predicted CSI in the time domain.

[0066] In combination with some embodiments of the first aspect, in some embodiments, the first reporting configuration is bound to the first resource configuration, wherein the first resource configuration includes: a first resource set where the resource identifier of the first RS is located.

[0067] With reference to some embodiments of the first aspect, in some embodiments, the prediction time includes a reporting time of the prediction result;

[0068] The prediction result is the predicted CSI, and the reporting time is indicated by the network device through the report configuration corresponding to the prediction result.

[0069] In the above embodiment, the network device configures the time of the first RS to be the same as the reporting time of the prediction result, so that the measurement result corresponding to the first RS corresponds to the corresponding prediction result, so as to improve the rationality and accuracy of the comparison between the two.

[0070] In conjunction with some embodiments of the first aspect, in some embodiments, the second condition includes:

[0071] The frequency domain information of the first RS is the same as the frequency domain information corresponding to the second resource configuration, wherein the second resource configuration is bound to the first report configuration corresponding to the prediction result, and the second resource configuration is used to configure the RS corresponding to the input information of the prediction model.

[0072] In the above embodiment, the conditions that the first RS configured by the network device satisfies in the frequency domain are illustrated, so that the measured CSI corresponding to the first RS reasonably corresponds to the predicted CSI in the frequency domain.

[0073] In conjunction with some embodiments of the first aspect, in some embodiments, the frequency domain information includes at least one of the following:

[0074] Occupied resource block RB position;

[0075] Information on broadband or narrowband usage;

[0076] Occupied bandwidth portion BWP;

[0077] Occupied frequency band or frequency band range FR;

[0078] Occupied carrier.

[0079] In the above embodiment, the same multiple frequency domain information between the first RS and the second resource configuration configured by the network device is illustrated, so as to perform adaptive processing in combination with different frequency domain scenarios.

[0080] In conjunction with some embodiments of the first aspect, in some embodiments, the third condition includes:

[0081] The time-frequency resources RE occupied by the first RS and the second resource configuration in one RB are the same.

[0082] In the above embodiment, the conditions that the first RS configured by the network device meets in time and frequency are illustrated, so that the reference CSI corresponding to the first RS reasonably corresponds to the predicted CSI in time and frequency.

[0083] In conjunction with some embodiments of the first aspect, in some embodiments, the fourth condition includes at least one of the following:

[0084] The beam shape used by the first RS and the second resource configuration is the same;

[0085] The first RS and the second resource configuration use the same precoding matrix;

[0086] The first RS and the second resource configuration use the same transmission configuration indicator TCI;

[0087] The first RS and the second resource configuration use the same quasi-co-located QCL;

[0088] The second resource configuration is bound to the first report configuration corresponding to the prediction result, and the second resource configuration is used to configure the RS corresponding to the input information of the prediction model.

[0089] In the above embodiment, the conditions that the first RS configured by the network device satisfies in the spatial domain are illustrated, so that the measured CSI corresponding to the first RS reasonably corresponds to the predicted CSI in the spatial domain.

[0090] In conjunction with some embodiments of the first aspect, in some embodiments, the resource identifier of the first RS is the same as part or all of the resource identifiers in at least one second resource configuration; and / or,

[0091] The resource set identifier of the first RS is the same as some or all of the resource set identifiers in at least one second resource configuration; and / or

[0092] The resource configuration identifier of the first RS is the same as part or all of the resource configuration identifiers of at least one second resource configuration;

[0093] The second resource configuration is bound to the first report configuration corresponding to the prediction result, and the second resource configuration is used to configure the RS corresponding to the input information of the prediction model.

[0094] In the above embodiment, the network device may configure the relationship between the resource identifier of the first RS and the corresponding resource identifier in the second resource configuration to improve the rationality of the correspondence between the measurement result and the corresponding prediction result.

[0095] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0096] The network device receives indication information sent by the terminal, where the indication information is used to indicate that the terminal does not expect the configured first RS to not satisfy the first condition, the second condition, the third condition, and the fourth condition.

[0097] In the above embodiment, the network device receives the indication information sent by the terminal to obtain the expectation or requirement of the terminal in the process of configuring the first RS, so as to facilitate the network device to perform reference configuration.

[0098] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0099] The network device receives auxiliary information sent by the terminal, wherein the auxiliary information is used to indicate information of the prediction model, wherein at least one of the first condition, the second condition, the third condition and the fourth condition is determined based on the auxiliary information.

[0100] In the above embodiment, the network device receives the auxiliary information sent by the terminal to obtain information about the terminal prediction model, so as to determine reasonable conditions based on the model information.

[0101] In conjunction with some embodiments of the first aspect, in some embodiments, the auxiliary information includes at least one of the following:

[0102] The number of prediction results of the prediction model;

[0103] the time interval between prediction results;

[0104] The time interval between the prediction result and the input information of the prediction model.

[0105] In the above embodiment, the user equipment may report important parameters related to the prediction model so that the network equipment may determine accurate and appropriate conditions based on the auxiliary information, thereby improving the rationality of the performance monitoring process.

[0106] In conjunction with some embodiments of the first aspect, in some embodiments, the first RS satisfies one of the following:

[0107] The first RS is not bound to the corresponding report configuration;

[0108] The first RS is bound to a corresponding report configuration, and the corresponding report configuration indicates that the report content is empty;

[0109] The first RS is bound to the corresponding report configuration, and the report content indicated in the corresponding report configuration is considered to be empty.

[0110] In the above embodiment, according to the different configuration modes of the first RS and the corresponding report configuration, the network device can indicate that the corresponding report content is empty so that the terminal can perform reasonable model monitoring without frequently reporting the measurement results during the monitoring process, which is conducive to achieving terminal energy saving.

[0111] In a second aspect, an embodiment of the present disclosure provides a communication method, including:

[0112] The terminal receives configuration information sent by the network device, where the configuration information is used to configure at least one group of first RSs for the terminal, and the at least one group of first RSs is used by the terminal to perform performance monitoring of a prediction model based on AI or ML.

[0113] In the above embodiment, the terminal receives configuration information sent by the network device to obtain the first RS used for performance monitoring of the AI ​​or ML-based prediction model, so that the terminal can perform measurements according to the corresponding first RS to monitor the performance of the prediction model.

[0114] In combination with some embodiments of the second aspect, in some embodiments, the prediction model is used for time domain prediction of channel state information CSI.

[0115] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0116] The terminal measures at least one set of first RSs in the supervision phase of the CSI time-domain prediction model to obtain a reference CSI;

[0117] The terminal determines comparison information between the reference CSI and the predicted CSI of the CSI time-domain prediction model.

[0118] In conjunction with some embodiments of the second aspect, in some embodiments, the comparison information includes at least one of the following:

[0119] Normalized mean square error NMSE;

[0120] The squared generalized cosine similarity (SGCS).

[0121] In conjunction with some embodiments of the second aspect, in some embodiments, comparing CSI or predicting CSI includes at least one of the following:

[0122] Channel matrix information;

[0123] Codebook parameters predefined or indicated by network equipment;

[0124] The codeword information of the reference CSI or predicted CSI under the corresponding codebook parameters.

[0125] In combination with some embodiments of the second aspect, in some embodiments, the first RS includes one or more resources, and each resource has a corresponding resource identifier.

[0126] With reference to some embodiments of the second aspect, in some embodiments, the first RS includes one or more first resource sets;

[0127] Each first resource set includes one or more resources.

[0128] In combination with some embodiments of the second aspect, in some embodiments, the first RS includes one or more first resource configurations, and each first resource configuration includes one or more first resource sets.

[0129] In conjunction with some embodiments of the second aspect, in some embodiments, the first resource set is at least one of the following:

[0130] NZP-CSI-RS resource set;

[0131] ZP-CSI-RS resource set;

[0132] CSI-SSB resource collection;

[0133] CSI-IM resource collection.

[0134] In conjunction with some embodiments of the second aspect, in some embodiments, at least one of the resource, the first set of resources, and the first resource configuration is periodic, semi-static, or non-periodic.

[0135] In conjunction with some embodiments of the second aspect, in some embodiments, the first RS satisfies at least one of the following:

[0136] The first condition in the time domain;

[0137] The second condition in the frequency domain; I think it is better to write it as 'time-frequency domain' here, because RE is actually a time-frequency resource

[0138] The third condition in the time-frequency domain;

[0139] The fourth condition on airspace.

[0140] In conjunction with some embodiments of the second aspect, in some embodiments, the first condition includes at least one of the following:

[0141] The first time at which the first RS is located is the same as or differs from the second time within a set range, wherein the second time is a prediction time corresponding to at least part of the prediction result of the prediction model;

[0142] The first period is the same as the second period, wherein the first period is a sending period of the first RS configured by the network device, and the second period is a reporting period of the prediction result indicated by the network device through the first reporting configuration.

[0143] In combination with some embodiments of the second aspect, in some embodiments, the first reporting configuration is bound to the first resource configuration, wherein the first resource configuration includes: a first resource set where the resource identifier of the first RS is located.

[0144] With reference to some embodiments of the second aspect, in some embodiments, the prediction time includes a reporting time of the prediction result;

[0145] The prediction result is the predicted CSI, and the reporting time is indicated by the network device through the report configuration corresponding to the prediction result.

[0146] In conjunction with some embodiments of the second aspect, in some embodiments, the second condition includes:

[0147] The frequency domain information of the first RS is the same as the frequency domain information corresponding to the second resource configuration, wherein the second resource configuration is bound to the first report configuration corresponding to the prediction result, and the second resource configuration is used to configure the RS corresponding to the input information of the prediction model.

[0148] In conjunction with some embodiments of the second aspect, in some embodiments, the frequency domain information includes at least one of the following:

[0149] Occupied resource block RB position;

[0150] Information on broadband or narrowband usage;

[0151] Occupied bandwidth portion BWP;

[0152] Occupied frequency band or FR;

[0153] Occupied carrier.

[0154] In conjunction with some embodiments of the second aspect, in some embodiments, the third condition includes:

[0155] The first RS and the second resource configuration occupy the same REs within one RB.

[0156] In conjunction with some embodiments of the second aspect, in some embodiments, the fourth condition includes at least one of the following:

[0157] The beam shape used by the first RS and the second resource configuration is the same;

[0158] The first RS and the second resource configuration use the same precoding matrix;

[0159] The first RS and the second resource configuration use the same TCI;

[0160] The first RS and the second resource configuration use the same QCL;

[0161] The second resource configuration is bound to the first report configuration corresponding to the prediction result, and the second resource configuration is used to configure the RS corresponding to the input information of the prediction model.

[0162] In conjunction with some embodiments of the second aspect, in some embodiments, the resource identifier of the first RS is the same as part or all of the resource identifiers in at least one second resource configuration; and / or,

[0163] The resource set identifier of the first RS is the same as some or all of the resource set identifiers in at least one second resource configuration;

[0164] The resource configuration identifier of the first RS is the same as part or all of the resource configuration identifiers of at least one second resource configuration;

[0165] The second resource configuration is bound to the first report configuration corresponding to the prediction result, and the second resource configuration is used to configure the RS corresponding to the input information of the prediction model.

[0166] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0167] The terminal sends indication information to the network device, where the indication information is used to indicate that the terminal does not expect the configured first RS to fail to meet the first condition, the second condition, the third condition, and the fourth condition.

[0168] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0169] The terminal sends auxiliary information to the network device, wherein the auxiliary information is used to indicate information of the prediction model, wherein at least one of the first condition, the second condition, the third condition and the fourth condition is determined based on the auxiliary information.

[0170] In conjunction with some embodiments of the second aspect, in some embodiments, the auxiliary information includes at least one of the following:

[0171] The number of prediction results of the prediction model;

[0172] the time interval between prediction results;

[0173] The time interval between the prediction result and the input information of the prediction model.

[0174] In conjunction with some embodiments of the second aspect, in some embodiments, the first RS satisfies one of the following:

[0175] The first RS is not bound to the corresponding report configuration;

[0176] The first RS is bound to a corresponding report configuration, and the corresponding report configuration indicates that the report content is empty;

[0177] The first RS is bound to the corresponding report configuration, and the report content indicated in the corresponding report configuration is considered to be empty.

[0178] In a third aspect, an embodiment of the present disclosure provides a network device, including:

[0179] The transceiver module is used to send configuration information to the terminal, where the configuration information is used to configure at least one set of first reference signals (RS) for the terminal, and the at least one set of first RS is used by the terminal to perform performance monitoring of a prediction model based on artificial intelligence (AI) or machine learning (ML).

[0180] In a fourth aspect, an embodiment of the present disclosure provides a terminal, including:

[0181] The transceiver module is used to receive configuration information sent by the network device, where the configuration information is used to configure at least one group of first RSs for the terminal, and the at least one group of first RSs is used by the terminal to perform performance monitoring of the AI ​​or ML-based prediction model.

[0182] In a fifth aspect, an embodiment of the present disclosure provides a network device, including:

[0183] one or more processors;

[0184] Wherein, the network device executes the method of the first aspect.

[0185] In a sixth aspect, an embodiment of the present disclosure provides a terminal, including:

[0186] one or more processors;

[0187] Wherein, the terminal executes the method of the second aspect.

[0188] In a seventh aspect, an embodiment of the present disclosure provides a communication system, comprising a network device and a terminal, wherein the network device is configured to implement the method of the first aspect, and the terminal is configured to implement the method of the second aspect.

[0189] In an eighth aspect, an embodiment of the present disclosure provides a storage medium storing instructions, which, when executed on a communication device, enables the communication device to execute the method of the first aspect or the second aspect.

[0190] In a ninth aspect, an embodiment of the present disclosure proposes a program product. When the program product is executed by a communication device, the communication device executes the method described in the optional implementation of the first and second aspects.

[0191] In a tenth aspect, an embodiment of the present disclosure proposes a computer program, which, when executed on a computer, enables the computer to execute the method described in the optional implementation of the first and second aspects.

[0192] In an eleventh aspect, an embodiment of the present disclosure provides a chip or a chip system, wherein the chip or chip system includes a processing circuit configured to execute the method described in the optional implementation of the first and second aspects above.

[0193] It is understandable that the above-mentioned terminals, network devices, communication systems, storage media, program products, computer programs, chips, or chip systems are all used to perform the methods proposed in the embodiments of the present disclosure. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects of the corresponding methods and will not be repeated here.

[0194] The embodiments of the present disclosure are not exhaustive and are merely illustrative of some embodiments, and are not intended to be a specific limitation on the scope of protection of the present disclosure. In the absence of contradiction, each step in a certain embodiment can be implemented as an independent embodiment, and the steps can be arbitrarily combined. For example, a solution after removing some steps in a certain embodiment can also be implemented as an independent embodiment, and the order of the steps in a certain embodiment can be arbitrarily exchanged. In addition, the optional implementation methods in a certain embodiment can be arbitrarily combined; in addition, the embodiments can be arbitrarily combined. For example, some or all steps of different embodiments can be arbitrarily combined, and a certain embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

[0195] In each embodiment of the present disclosure, unless otherwise specified or provided for by logic, the terms and / or descriptions between the embodiments are consistent and can be referenced by each other. The technical features in different embodiments can be combined to form a new embodiment based on their inherent logical relationships.

[0196] The terms used in the embodiments of the present disclosure are only for the purpose of describing specific embodiments and are not intended to limit the present disclosure.

[0197] In the embodiments of the present disclosure, unless otherwise specified, elements expressed in the singular, such as "a", "an", "the", "above", "said", "the", "the", etc., may mean "one and only one", or "one or more", "at least one", etc. For example, when using articles such as "a", "an", "the" in English in translation, the noun following the article may be understood as a singular expression or a plural expression.

[0198] In the embodiments of the present disclosure, “plurality” refers to two or more.

[0199] In some embodiments, the terms "at least one," "one or more," "a plurality of," "multiple," etc. may be used interchangeably.

[0200] In some embodiments, descriptions such as "at least one of A and B," "A and / or B," "A in one case, B in another case," or "in response to one case A, in response to another case B" may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed); and in some embodiments, A and B (both A and B are executed). The above is also applicable when there are more branches such as A, B, and C.

[0201] In some embodiments, "A or B" and other descriptions may include the following technical solutions depending on the situation: in some embodiments, A (A is executed independently of B); in some embodiments, B (B is executed independently of A); in some embodiments, execution is selected from A and B (A and B are selectively executed). The above is also applicable when there are more branches such as A, B, C, etc.

[0202] The prefixes such as "first" and "second" in the embodiments of the present disclosure are only used to distinguish different description objects and do not constitute any restriction on the position, order, priority, quantity or content of the description objects. For the statement of the description object, please refer to the description in the context of the claims or embodiments, and no unnecessary restriction should be constituted due to the use of prefixes. For example, if the description object is a "field", the ordinal number before the "field" in the "first field" and the "second field" does not limit the position or order between the "fields". "First" and "second" do not limit whether the "fields" they modify are in the same message, nor do they limit the order of the "first field" and the "second field". For another example, if the description object is a "level", the ordinal number before the "level" in the "first level" and the "second level" does not limit the priority between the "levels". For another example, the number of description objects is not limited by the ordinal number and can be one or more. Taking "first device" as an example, the number of "devices" can be one or more. In addition, the objects modified by different prefixes can be the same or different. For example, if the description object is "device", then the "first device" and the "second device" can be the same device or different devices, and their types can be the same or different; for another example, if the description object is "information", then the "first information" and the "second information" can be the same information or different information, and their contents can be the same or different.

[0203] In some embodiments, “including A,” “comprising A,” “used to indicate A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0204] In some embodiments, terms such as "in response to...", "in response to determining...", "in the case of...", "at the time of...", "when...", "if...", "if...", etc. can be used interchangeably.

[0205] In some embodiments, terms such as "greater than", "greater than or equal to", "not less than", "more than", "more than or equal to", "not less than", "higher than", "higher than or equal to", "not less than", and "above" can be replaced with each other, and terms such as "less than", "less than or equal to", "not greater than", "less than", "less than or equal to", "not more than", "lower than", "lower than or equal to", "not higher than", and "below" can be replaced with each other.

[0206] In some embodiments, devices and equipment can be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. In some cases, they can also be understood as "equipment", "device", "circuit", "network element", "node", "function", "unit", "section", "system", "network", "chip", "chip system", "entity", "subject", etc.

[0207] In some embodiments, "network" can be interpreted as devices included in the network, such as access network equipment, core network equipment, etc.

[0208] In some embodiments, "access network device (AN device)" may also be referred to as "radio access network device (RAN device)", "base station (BS)", "radio base station", "fixed station", and in some embodiments may also be understood as "node", "access point", "transmission point (TP)", "reception point (RP)", "transmission and / or reception point (TRP)" "panel", "antenna panel", "antenna array", "cell", "macro cell", "small cell", "femto cell", "pico cell", "sector", "cell group", "serving cell", "carrier", "component carrier", "bandwidth part (BWP)", etc.

[0209] In some embodiments, "terminal" or "terminal device" may be referred to as "user equipment (UE)", "user terminal" "mobile station (MS)", "mobile terminal (MT)", subscriber station, mobile unit, subscriber unit, wireless unit, remote unit, mobile device, wireless device, wireless communication device, remote device, mobile subscriber station, access terminal, mobile terminal, wireless terminal, remote terminal, handset, user agent, mobile client, client, etc.

[0210] In some embodiments, obtaining data, information, etc. may comply with the laws and regulations of the country where the data is obtained.

[0211] In some embodiments, data, information, etc. may be obtained with the user's consent.

[0212] In addition, each element, each row, or each column in the table of the embodiment of the present disclosure can be implemented as an independent embodiment, and the combination of any elements, any rows, and any columns can also be implemented as an independent embodiment.

[0213] FIG1a is a schematic diagram showing the architecture of a communication system according to an embodiment of the present disclosure.

[0214] As shown in FIG. 1 a , a communication system 100 includes a terminal 101 and a network device 102 .

[0215] In some embodiments, the terminal 101 includes, for example, a mobile phone, a wearable device, an Internet of Things device, a car with communication function, a smart car, a tablet computer, a computer with wireless transceiver function, a virtual reality (VR) terminal device, an augmented reality (AR) terminal device, a wireless terminal device in industrial control, a wireless terminal device in self-driving, a wireless terminal device in remote medical surgery, a wireless terminal device in a smart grid, a wireless terminal device in transportation safety, a wireless terminal device in a smart city, and at least one of a wireless terminal device in a smart home, but is not limited thereto.

[0216] In some embodiments, when the network device 102 is a network device, the network device may include at least one of an access network device and a core network device.

[0217] In some embodiments, the access network device is, for example, a node or device that accesses a terminal to a wireless network. The access network device may include an evolved NodeB (eNB), a next generation evolved NodeB (ng-eNB), a next generation NodeB (gNB), a node B (NB), a home node B (HNB), a home evolved nodeB (HeNB), a wireless backhaul device, a radio network controller (RNC), a base station controller (BSC), a base transceiver station (BTS), a base band unit (BBU), a mobile switching center, a base station in a 6G communication system, an open base station (Open RAN), a cloud base station (Cloud RAN), a base station in other communication systems, and at least one of an access node in a wireless fidelity (WiFi) system, but is not limited thereto.

[0218] In some embodiments, the technical solution of the present disclosure can be applied to the Open RAN architecture. In this case, the interfaces between or within the access network devices involved in the embodiments of the present disclosure can be transformed into internal interfaces of the Open RAN, and the processes and information interactions between these internal interfaces can be implemented through software or programs.

[0219] In some embodiments, the access network device can be composed of a centralized unit (CU) and a distributed unit (DU), where the CU can also be called a control unit. The CU-DU structure can be used to split the protocol layer of the access network device, with the functions of some protocol layers centrally controlled by the CU, and the functions of the remaining part or all of the protocol layers distributed in the DU, which is centrally controlled by the CU, but is not limited to this.

[0220] In some embodiments, the core network device can be a device including one or more network elements, or it can be multiple devices or device groups, each including all or part of one or more network elements. The network element can be virtual or physical. The core network includes, for example, at least one of the Evolved Packet Core (EPC), the 5G Core Network (5GCN), and the Next Generation Core (NGC). Alternatively, the core network device refers to a network element with a specific function, such as the Access Management Function (AMF), the Service Management Function (SMF), etc.

[0221] It can be understood that the communication system described in the embodiment of the present disclosure is for the purpose of more clearly illustrating the technical solution of the embodiment of the present disclosure, and does not constitute a limitation on the technical solution provided by the embodiment of the present disclosure. Ordinary technicians in this field can know that with the evolution of the system architecture and the emergence of new business scenarios, the technical solution provided by the embodiment of the present disclosure is also applicable to similar technical problems.

[0222] The following embodiments of the present disclosure may be applied to the communication system 100 shown in FIG. 1 a , or a partial body thereof, but are not limited thereto.

[0223] The entities shown in Figure 1a are examples. The communication system may include all or part of the entities in Figure 1a, or may include other entities outside Figure 1a. The number and form of the entities are arbitrary. The connection relationship between the entities is an example. The entities may be connected or disconnected, and the connection may be in any manner, which may be direct or indirect, and may be wired or wireless.

[0224] The embodiments of the present disclosure can be applied to Long Term Evolution (LTE), LTE-Advanced (LTE-A), LTE-Beyond (LTE-B), SUPER 3G, IMT-Advanced, 4th generation mobile communication system (4G), 5th generation mobile communication system (5G), 5G new radio (NR), future radio access (FRA), new radio access technology (RAT), new radio (NR), new radio access (NX), future generation radio access (FX), Global System for Mobile communications (GSM (registered trademark)), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi (registered trademark)), IEEE 802.16 (WiMAX (registered trademark)), IEEE 802.20, Ultra-WideBand (UWB), Bluetooth (registered trademark), Public Land Mobile Network (PLMN) networks, Device-to-Device (D2D) systems, Machine-to-Machine (M2M) systems, Internet of Things (IoT) systems, Vehicle-to-Everything (V2X), systems utilizing other communication processing methods, and next-generation systems based on and extending these. Furthermore, multiple systems may be combined (for example, a combination of LTE or LTE-A with 5G).

[0225] In the disclosed embodiments, channel state information (CSI) prediction is used as an example. Referring to Figure 1b , in AI- or ML-based CSI prediction, observation windows and prediction windows can be used to define different CSIs. Within the observation window, network device 102 can transmit a CSI reference signal (CSI-RS). Terminal 101 measures the RS within the observation window to obtain a measurement result, such as measured CSI. Terminal 101 pre-processes the measurement result and inputs it into a prediction model to obtain a prediction result within the prediction window, such as predicted CSI.

[0226] As shown in Figure 1b, CSI prediction involves several important parameters. The observation window includes M measured CSIs, and the prediction window includes N predicted CSIs, where M and N are positive integers. The time interval between adjacent measured CSIs in the observation window is X, the time interval between the first predicted CSI in the prediction window and the last measured CSI in the observation window is Y, and the time interval between adjacent predicted CSIs in the prediction window is Z. The units of X, Y, and Z are time domain units. These time domain units can be time slots, half-time slots, sub-time slots, or symbols. Taking time slots as an example, the time interval can be the number of time slots under a certain subcarrier spacing (SCS).

[0227] Among them, the sample interval used for prediction and the predicted CSI interval can be different. Corresponding to Figure 1b, the sample interval in the observation window can be considered as the CSI-RS interval, and the network device 102 can configure the corresponding CSI report or reporting time according to the CSI / RS interval in the observation window.

[0228] In the disclosed embodiments, during the performance monitoring or supervision phase of the prediction model, terminal 101 needs to calculate a metric (or Key Performance Indicator, KPI) based on measurements to determine or verify whether the prediction model is suitable for the current channel or accurate. This description will continue using CSI prediction as an example.

[0229] In one scenario, network device 102 transmits RSs according to the RS transmission period of the observation window, which includes the RSs at the CSI prediction or reporting time. For example, if the RS transmission period is the same as the CSI prediction or reporting period, network device 102 does not need to perform additional RS configuration, and terminal 101 can use the RSs used for measurement to complete model supervision.

[0230] In another case, network device 102 transmits RS according to the RS transmission period of the observation window, but does not include or transmit RS for the CSI prediction or reporting time. For example, the RS transmission period is different from the CSI prediction or reporting period. In this case, it is necessary to determine the relevant behavior of network device 102 or terminal 101 so that performance monitoring of the model can be performed.

[0231] In an embodiment of the present disclosure, a method for configuring RS in a supervision phase or a prediction model performance monitoring phase is provided.

[0232] FIG2 is an interactive diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG2 , an embodiment of the present disclosure relates to a communication method, the method comprising:

[0233] Step S2101 , the terminal 101 sends instruction information to the network device 102 .

[0234] In some embodiments, the indication information is used to indicate that the terminal 101 does not expect the configured first RS to not satisfy the first condition, the second condition, the third condition, and the fourth condition.

[0235] In some embodiments, the indication information is used to indicate that the terminal 101 does not expect the configured first RS to not satisfy at least one of the first condition, the second condition, the third condition and the fourth condition.

[0236] In some embodiments, the terminal 101 may send indication information before the network device 102 sends configuration information, thereby providing a reference for the configuration of the network device 102 .

[0237] Optionally, the network device 102 may configure at least one group of first RSs for the terminal 101 through configuration information, and the at least one group of first RSs is used for the terminal 101 to perform performance monitoring of a prediction model based on AI or ML.

[0238] Optionally, the first RS may also be called Monitor-RS.

[0239] In some embodiments, the first condition is the condition or rule that the first RS configured by the network device 102 must satisfy in the time domain, the second condition is the condition or rule that the first RS must satisfy in the frequency domain, the third condition is the condition or rule that the first RS must satisfy in the time-frequency domain, and the fourth condition is the condition or rule that the first RS must satisfy in the spatial domain.

[0240] In some embodiments, the first condition includes at least one of the following:

[0241] The first time at which the first RS is located is the same as or differs from the second time within a set range, wherein the second time is a prediction time corresponding to at least part of the prediction result of the prediction model;

[0242] The first period is the same as the second period, wherein the first period is a sending period of the first RS configured by the network device, and the second period is a reporting period of the prediction result indicated by the network device through the first reporting configuration.

[0243] Optionally, the first time of the first RS may be the time when the network device 102 sends the first RS (i.e., the time when the first RS is sent), or the time when the terminal 101 receives the first RS. In the embodiment of the present disclosure, the first time is taken as the time when the network device 102 sends the first RS as an example for description.

[0244] Optionally, the prediction time includes the reporting time of the prediction result;

[0245] The prediction result is the predicted CSI, and the reporting time is indicated by the network device through the report configuration corresponding to the prediction result.

[0246] Optionally, the first report configuration is bound to the first resource configuration, wherein the first resource configuration includes: a first resource set where the resource identifier of the first RS is located.

[0247] Optionally, the first report configuration is used to configure reporting parameters such as the reporting time, reporting period, and report content (report quantity) of the predicted CSI.

[0248] In some embodiments, the second condition includes:

[0249] The frequency domain information of the first RS is the same as the frequency domain information corresponding to the second resource configuration, wherein the second resource configuration is bound to the first report configuration corresponding to the prediction result, and the second resource configuration is used to configure the RS corresponding to the input information of the prediction model.

[0250] Optionally, as shown in FIG1b , the input information of the prediction model may be the measured CSI obtained by measuring the CSI-RS within the observation window, or the pre-processed information of the measured CSI.

[0251] Optionally, the second resource configuration is used to configure a CSI-RS within the observation window.

[0252] Optionally, the second resource configuration is bound to the reporting configuration within the prediction window. For example, the first reporting configuration is bound to the second resource configuration. The first RS reconfigured by the network device 102, such as the first resource configuration, corresponds to the first reporting configuration. Thus, during the monitoring phase, the terminal 101 can measure and obtain a reference CSI based on the first resource configuration, and compare the reference CSI with the corresponding predicted CSI to monitor the performance of the model. It is understood that in the embodiments of the present disclosure, the measured CSI during the monitoring phase can be recorded as the reference CSI.

[0253] Optionally, the second resource configuration may be a resource configuration corresponding to the predicted CSI at the moment when the first RS is located.

[0254] Optionally, the frequency domain information includes at least one of the following:

[0255] Occupied resource block (RB) location;

[0256] Information on broadband or narrowband usage;

[0257] Occupied bandwidth part (Bandwidth Part, BWP);

[0258] Occupied frequency band (Frequency band) or frequency range (FR);

[0259] Occupied carrier.

[0260] Optionally, FR may include FR1 or FR2, wherein FR1 is less than 6 GHz and FR2 is greater than 28 GHz.

[0261] Optionally, the ranges of RB, BWP, carrier, frequency band and FR in the frequency domain become larger in sequence, so the defined frequency domain information may define or restrict the second condition according to different frequency domain granularities.

[0262] In some embodiments, the third condition includes:

[0263] The first RS and the second resource configuration occupy the same time-frequency resources (RE) within one RB, wherein one RB occupies one time slot or 14 symbols in the time domain and 12 subcarriers in the frequency domain.

[0264] In some embodiments, the fourth condition includes at least one of the following:

[0265] The beam shape used by the first RS and the second resource configuration is the same;

[0266] The first RS and the second resource configuration use the same precoding matrix;

[0267] The first RS and the second resource configuration use the same transmission configuration indicator (TCI);

[0268] The first RS and the second RS use the same quasi-co-located (QCL) resource configuration;

[0269] The second resource configuration is bound to the first report configuration corresponding to the prediction result, and the second resource configuration is used to configure the RS corresponding to the input information of the prediction model.

[0270] In some embodiments, the resource identifier of the first RS is the same as some or all of the resource identifiers in at least one second resource configuration; and / or,

[0271] The resource set identifier of the first RS is the same as some or all of the resource set identifiers in at least one second resource configuration; and / or

[0272] The resource configuration identifier of the first RS is the same as part or all of the resource configuration identifiers of at least one second resource configuration;

[0273] The second resource configuration is bound to the first report configuration corresponding to the prediction result, and the second resource configuration is used to configure the RS corresponding to the input information of the prediction model.

[0274] Optionally, by limiting the resource identifier of the first RS to be the same as at least part of the resource identifiers in the second resource configuration, the first RS is made close to or corresponds to the RS configured in the second resource configuration, so as to improve the rationality and accuracy of the comparison between the control CSI based on the first RS and the predicted CSI based on the second resource configuration.

[0275] Optionally, the first RS includes one or more resources, each resource has a corresponding resource identifier, and details can be found in the description of the following embodiment.

[0276] In some embodiments, the network device 102 receives indication information sent by the terminal 101 .

[0277] Step S2102 , the terminal 101 sends auxiliary information to the network device 102 .

[0278] In some embodiments, the auxiliary information is used to indicate information of the prediction model, wherein at least one of the first condition, the second condition, the third condition, and the fourth condition is determined based on the auxiliary information.

[0279] In some embodiments, the auxiliary information includes at least one of the following:

[0280] The number of prediction results of the prediction model;

[0281] the time interval between prediction results;

[0282] The time interval between the prediction result and the input information of the prediction model.

[0283] Optionally, referring to FIG1 b , the number of prediction results may be, for example, the number of predicted CSIs in a prediction window.

[0284] Optionally, the time interval between prediction results is, for example, Z.

[0285] Optionally, the input information is, for example, measured CSI obtained based on RS in the observation window, or information after measured CSI preprocessing. The time interval between the prediction result and the input information is, for example, Y.

[0286] Optionally, the unit of the above time interval may be time slot or millisecond, etc.

[0287] In some embodiments, the network device 102 receives the auxiliary information sent by the terminal 101 .

[0288] In some embodiments, step 2102 may be performed before step 2101 .

[0289] Step S2103 , the network device 102 sends configuration information to the terminal 101 .

[0290] In some embodiments, the configuration information is used to configure at least one set of first reference signals RS for the terminal, and the at least one set of first RS is used for the terminal to perform performance monitoring of a prediction model based on AI or ML.

[0291] In some embodiments, the network device 102 may send the configuration information via a Radio Resource Control (RRC) message.

[0292] In some embodiments, the AI ​​or ML-based prediction model is deployed on the terminal 101 side.

[0293] Optionally, the prediction model can be an AI-based MIMO enhancement model.

[0294] In some embodiments, the prediction model is used for time domain prediction of CSI.

[0295] Optionally, at least one group of first RSs is used for terminal measurement to obtain a control CSI corresponding to a supervision phase of a CSI time domain prediction model.

[0296] In some embodiments, the first RS includes one or more resources, each resource having a corresponding resource identifier.

[0297] In this embodiment, one or more resources may be configured as the first RS.

[0298] Optionally, the resource corresponding to the first RS may be periodic, semi-static or non-periodic.

[0299] In one example, the first RS includes one or more first resource sets (resource sets); wherein each first resource set includes one or more resources.

[0300] In this example, the first resource set is configured as the first RS, and corresponding resources are configured in each first resource set.

[0301] Optionally, the first resource set may be periodic, semi-static or non-periodic.

[0302] In another example, the first RS includes one or more first resource configurations (resource configurations or resource settings), and each first resource configuration includes one or more first resource sets.

[0303] In this example, by configuring the first resource configuration, resources or resource sets are configured separately or in categories.

[0304] Optionally, the first resource configuration may be periodic, semi-static or aperiodic.

[0305] Optionally, taking a periodic or semi-static first resource set as an example, for multiple resources in the same first resource set, the multiple resources or resource identifiers of the multiple resources can be configured with the same period and the same starting offset.

[0306] In some embodiments, in combination with the different configuration modes of the above examples, at least one of the resource, the first resource set, and the first resource configuration is periodic, semi-static, or non-periodic.

[0307] In some embodiments, the first resource set is at least one of the following:

[0308] Non-zero power channel state information reference signal (NZP-CSI-RS) resource set;

[0309] Channel state information synchronization signal block (CSI-SSB) resource set;

[0310] Zero-power channel state information reference signal (ZP-CSI-RS) resource set;

[0311] Channel State Information Interference Measurement (CSI-IM) resource set.

[0312] In some embodiments, the first RS satisfies at least one of the following:

[0313] The first condition in the time domain;

[0314] The second condition in the frequency domain;

[0315] The third condition in the time-frequency domain;

[0316] The fourth condition on airspace.

[0317] The first condition, the second condition, the third condition or the fourth condition may refer to the description of the above embodiments.

[0318] In some embodiments, the first RS satisfies one of the following:

[0319] The first RS is not bound to the corresponding report configuration;

[0320] The first RS is bound to a corresponding report configuration, and the corresponding report configuration indicates that the report content is empty (none);

[0321] The first RS is bound to the corresponding report configuration, and the report content indicated in the corresponding report configuration is considered to be empty.

[0322] Optionally, according to the configuration of this embodiment, after obtaining the control CSI and comparison information in the monitoring phase, the terminal may not report, or report when the comparison information meets the corresponding threshold or event, so as to save energy consumption of the terminal and network equipment.

[0323] For example, the first RS is bound to the first report configuration (CSI report config), and the report configuration can refer to the following method:

[0324] The RRC information element (RRC) Report config includes a CSI-ReportConfigId. Furthermore, the IE configuration corresponding to the CSI-ReportConfigID includes a report quantity, and the report quantity is configured as none.

[0325] The RRC IE Report config includes ResourceForChannelMesaurement. Furthermore, the IE configuration corresponding to CSI-ResourceConfigId includes NZP-CSI-RS-ResourceSet. The NZP-CSI-RS-ResourceSet is configured for monitor use, that is, Monitor-Info ENUMERATED {true}.

[0326] The RRC IE Report config includes csi-IM-ResourcesForInterference. Furthermore, the IE configuration corresponding to CSI-ResourceConfigId includes ZP-CSI-RS-ResourceSet, which is configured for Monitor, that is, Monitor-Info ENUMERATED {true}.

[0327] In some embodiments, terminal 101 receives the configuration information.

[0328] In step S2104 , the network device 102 sends at least one set of first RSs in the supervision phase.

[0329] In some embodiments, the relevant time-frequency parameters for sending the first RS by the network device 102 may be included in the configuration information, so that the terminal 101 can monitor and receive the first RS at an appropriate time-frequency position according to the configuration information.

[0330] In step S2105 , the terminal 101 measures at least one set of first RSs in the supervision phase of the CSI time-domain prediction model to obtain a control CSI.

[0331] Optionally, the terminal measures the received first RS, and uses the obtained measured CSI as the reference CSI.

[0332] For example, the terminal measures the first RS to obtain channel matrix information, predefined codebook parameters or codeword information of the reference CSI or predicted CSI under the corresponding codebook parameters as the reference CSI.

[0333] In step S2106 , the terminal 101 determines comparison information between the reference CSI and the predicted CSI of the CSI time-domain prediction model.

[0334] In some embodiments, the comparison information includes at least one of the following:

[0335] Normalized Mean Square Error (NMSE);

[0336] Square of Generalized Cosine Similarity (SGCS).

[0337] In some embodiments, comparing the CSI or predicting the CSI includes at least one of the following:

[0338] Channel matrix information;

[0339] Codebook parameters predefined or indicated by network equipment;

[0340] The codeword information of the reference CSI or predicted CSI under the corresponding codebook parameters.

[0341] In some embodiments, the names of information, etc. are not limited to the names described in the embodiments, and terms such as "information", "message", "signal", "signaling", "report", "configuration", "indication", "instruction", "command", "channel", "parameter", "domain", and "field" can be used interchangeably.

[0342] In some embodiments, "obtain", "get", "get", "receive", "transmit", "bidirectional transmission", "send and / or receive" can be interchangeable, and can be interpreted as receiving from other entities, obtaining from protocols, obtaining from higher layers, obtaining by self-processing, autonomous implementation, etc.

[0343] In some embodiments, terms such as "send", "transmit", "report", "download", "transmit", "bidirectional transmission", "send and / or receive" can be used interchangeably.

[0344] In some embodiments, terms such as "uplink", "uplink", "physical uplink" can be interchangeable with each other, and terms such as "downlink", "downlink", "physical downlink" can be interchangeable with each other, and terms such as "side", "sidelink", "side communication", "sidelink communication", "direct connection", "direct link", "direct communication", "direct link communication" can be interchangeable with each other.

[0345] In some embodiments, the terms "downlink control information (DCI)", "downlink (DL) assignment", "DL DCI", "uplink (UL) grant", "UL DCI" and the like may be used interchangeably.

[0346] In some embodiments, terms such as "physical downlink shared channel (PDSCH)" and "DL data" can be used interchangeably, and terms such as "physical uplink shared channel (PUSCH)" and "UL data" can be used interchangeably.

[0347] In some embodiments, the terms "component carrier (CC)", "cell", "frequency carrier", "carrier frequency" and the like can be used interchangeably.

[0348] In some embodiments, terms such as "certain", "preset", "preset", "setting", "indicated", "a certain", "any", and "first" can be interchangeable. "Specific A", "preset A", "preset A", "setting A", "indicated A", "a certain A", "any A", and "first A" can be interpreted as A pre-specified in a protocol, etc., or as A obtained through setting, configuration, or indication, etc., or as specific A, a certain A, any A, or first A, etc., but not limited to this.

[0349] In some embodiments, the determination or judgment can be performed by a value represented by 1 bit (0 or 1), or by a true or false value (Boolean value) represented by true or false, or by comparison of numerical values ​​(for example, comparison with a predetermined value), but is not limited thereto.

[0350] In some embodiments, "not expecting to receive" can be interpreted as not receiving on time domain resources and / or frequency domain resources, or as not performing subsequent processing on the data after receiving it; "not expecting to send" can be interpreted as not sending, or as sending but not expecting the recipient to respond to the content sent.

[0351] The communication method according to the embodiments of the present disclosure may include at least one of steps S2101 to S2106. For example, step S2103 may be implemented as an independent embodiment, steps S2103 to S2106 may be implemented as independent embodiments, steps S2102 to S2103 may be implemented as independent embodiments, and steps S2101 and S2103 may be implemented as independent embodiments, but are not limited thereto.

[0352] In some embodiments, steps S2101 , S2102 , S2104 , S2105 , and S2106 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0353] In some embodiments, the order of steps S2101 and S2102 can be swapped or performed simultaneously.

[0354] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 2 .

[0355] FIG3a is a schematic diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG3a, the embodiment of the present disclosure relates to a communication method, which is executed by a network device 102 and includes:

[0356] Step S3101: The network device 102 obtains instruction information.

[0357] In some embodiments, the implementation of step S3101 can refer to the relevant implementation of step S2101 and will not be repeated here.

[0358] In some embodiments, the network device 102 may obtain or receive indication information from the terminal 101 or other entities.

[0359] In step S3102, the network device 102 obtains auxiliary information.

[0360] In some embodiments, the implementation of step S3102 can refer to the relevant implementation of step S2102 and will not be repeated here.

[0361] In some embodiments, the network device 102 may obtain or receive auxiliary information from the terminal 101 or other entities.

[0362] In step S3103, the network device 102 sends configuration information.

[0363] In some embodiments, the implementation of step S3103 can refer to the relevant implementation of step S2103 and will not be repeated here.

[0364] In some embodiments, the network device 102 may send configuration information to the terminal 101 or other entities.

[0365] Step S3104: The network device 102 sends a first RS.

[0366] In some embodiments, the implementation of step S3104 can refer to the relevant implementation of step S2104 and will not be repeated here.

[0367] The communication method involved in the embodiments of the present disclosure may include at least one of steps S3101 to S3104. For example, step S3103 may be implemented as an independent embodiment, steps S3103 to S2104 may be implemented as independent embodiments, steps S3102 to S3103 may be implemented as independent embodiments, and steps S3101 and S3103 may be implemented as independent embodiments, but are not limited thereto.

[0368] In some embodiments, steps S3101, S3102, and S3104 are optional, and one or more of these steps may be omitted or replaced in different embodiments.

[0369] In some embodiments, the order of steps S3101 and S3102 can be swapped or performed simultaneously.

[0370] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 3 a .

[0371] FIG3b is a schematic diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG3b, the embodiment of the present disclosure relates to a communication method, which is executed by the network device 102 and includes:

[0372] Step S3201 , the network device 102 sends configuration information to the terminal 101 .

[0373] In some embodiments, the implementation of step S3201 can refer to the relevant implementation of step S2103 and will not be repeated here.

[0374] In some embodiments, the prediction model is used for time domain prediction of channel state information (CSI).

[0375] In some embodiments, the first RS includes one or more resources, each resource having a corresponding resource identifier.

[0376] Optionally, the first RS includes one or more first resource sets;

[0377] Each first resource set includes one or more resources.

[0378] Optionally, the first RS includes one or more first resource configurations, and each first resource configuration includes one or more first resource sets.

[0379] In some embodiments, the first resource set is at least one of the following:

[0380] NZP-CSI-RS resource set;

[0381] ZP-CSI-RS resource set;

[0382] CSI-SSB resource collection;

[0383] CSI-IM resource collection.

[0384] In some embodiments, at least one of the resources, the first set of resources, and the first resource configuration is periodic, semi-static, or aperiodic.

[0385] In some embodiments, the first RS satisfies at least one of the following:

[0386] The first condition in the time domain;

[0387] The second condition in the frequency domain;

[0388] The third condition in the time-frequency domain;

[0389] The fourth condition on airspace.

[0390] In the first example, the first condition includes at least one of the following:

[0391] The first time at which the first RS is located is the same as or differs from the second time within a set range, wherein the second time is a prediction time corresponding to at least part of the prediction result of the prediction model;

[0392] The first period is the same as the second period, wherein the first period is a sending period of the first RS configured by the network device, and the second period is a reporting period of the prediction result indicated by the network device through the first reporting configuration.

[0393] Optionally, the first report configuration is bound to the first resource configuration, wherein the first resource configuration includes: a first resource set where the resource identifier of the first RS is located.

[0394] Optionally, the prediction time includes the reporting time of the prediction result;

[0395] The prediction result is the predicted CSI, and the reporting time is indicated by the network device through the report configuration corresponding to the prediction result.

[0396] In the second example, the second condition includes:

[0397] The frequency domain information of the first RS is the same as the frequency domain information corresponding to the second resource configuration, wherein the second resource configuration is bound to the first report configuration corresponding to the prediction result, and the second resource configuration is used to configure the RS corresponding to the input information of the prediction model.

[0398] Optionally, the frequency domain information includes at least one of the following:

[0399] Occupied resource block RB position;

[0400] Information on broadband or narrowband usage;

[0401] Occupied bandwidth portion BWP;

[0402] Occupied frequency band or FR;

[0403] Occupied carrier.

[0404] In the third example, the third condition includes:

[0405] The first RS and the second resource configuration occupy the same REs within one RB.

[0406] In the fourth example, the fourth condition includes at least one of the following:

[0407] The beam shape used by the first RS and the second resource configuration is the same;

[0408] The first RS and the second resource configuration use the same precoding matrix;

[0409] The first RS and the second resource configuration use the same TCI;

[0410] The first RS and the second resource configuration use the same QCL;

[0411] The second resource configuration is bound to the first report configuration corresponding to the prediction result, and the second resource configuration is used to configure the RS corresponding to the input information of the prediction model.

[0412] In some embodiments, the resource identifier of the first RS is the same as some or all of the resource identifiers in at least one second resource configuration; and / or,

[0413] The resource set identifier of the first RS is the same as some or all of the resource set identifiers in at least one second resource configuration;

[0414] The resource configuration identifier of the first RS is the same as part or all of the resource configuration identifiers of at least one second resource configuration;

[0415] The second resource configuration is bound to the first report configuration corresponding to the prediction result, and the second resource configuration is used to configure the RS corresponding to the input information of the prediction model.

[0416] In some embodiments, the first RS satisfies one of the following:

[0417] The first RS is not bound to the corresponding report configuration;

[0418] The first RS is bound to a corresponding report configuration, and the corresponding report configuration indicates that the report content is empty;

[0419] The first RS is bound to the corresponding report configuration, and the report content indicated in the corresponding report configuration is considered to be empty.

[0420] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 3 b .

[0421] FIG3c is a schematic diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG3c, the embodiment of the present disclosure relates to a communication method, which is performed by the network device 102 and includes:

[0422] Step S3301 , the network device 102 receives the indication information sent by the terminal 101 .

[0423] In some embodiments, the implementation of step S3301 can refer to the relevant implementation of step S2101 and will not be repeated here.

[0424] Step S3302 , the network device 102 sends configuration information to the terminal 101 .

[0425] In some embodiments, the implementation of step S3302 can refer to the relevant implementation of step S2103 and will not be repeated here.

[0426] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 3c.

[0427] FIG3 d is a schematic diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG3 d , the embodiment of the present disclosure relates to a communication method, which is performed by the network device 102 and includes:

[0428] Step S3401 : The network device 102 receives auxiliary information sent by the terminal 101 .

[0429] In some embodiments, the implementation of step S3401 can refer to the relevant implementation of step S2102 and will not be repeated here.

[0430] Step S3402 , the network device 102 sends configuration information to the terminal 101 .

[0431] In some embodiments, the implementation of step S3402 can refer to the relevant implementation of step S2103 and will not be repeated here.

[0432] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 3 d .

[0433] FIG4a is a schematic diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG4a, the embodiment of the present disclosure relates to a communication method, which is executed by terminal 101 and includes:

[0434] Step S4101, terminal 101 sends indication information.

[0435] In some embodiments, the implementation of step S4101 can refer to the relevant implementation of step S2101 and will not be repeated here.

[0436] In some embodiments, the terminal 101 may send indication information to the network device 102 or other entities.

[0437] Step S4102: Terminal 101 sends auxiliary information.

[0438] In some embodiments, the implementation of step S4102 can refer to the relevant implementation of step S2102 and will not be repeated here.

[0439] In some embodiments, the terminal 101 may send auxiliary information to the network device 102 or other entities.

[0440] Step S4103: Terminal 101 obtains configuration information.

[0441] In some embodiments, the implementation of step S4103 can refer to the relevant implementation of step S2103 and will not be repeated here.

[0442] In some embodiments, the terminal 101 may obtain or receive configuration information from the network device 102 or other entities.

[0443] Step S4104: Terminal 101 receives the first RS.

[0444] In some embodiments, the implementation of step S4104 can refer to the relevant implementation of step S2104 and will not be repeated here.

[0445] In step S4105 , the terminal 101 measures at least one set of first RSs in the supervision phase of the CSI time-domain prediction model to obtain a control CSI.

[0446] In some embodiments, the implementation of step S4105 can refer to the relevant implementation of step S2105 and will not be repeated here.

[0447] In step S4106 , the terminal 101 determines comparison information between the reference CSI and the predicted CSI of the CSI time domain prediction model.

[0448] In some embodiments, the implementation of step S4106 can refer to the relevant implementation of step S2106 and will not be repeated here.

[0449] The communication method involved in the embodiments of the present disclosure may include at least one of steps S4101 to S4106. For example, step S4103 may be implemented as an independent embodiment, steps S4103 to S4106 may be implemented as independent embodiments, steps S4102 to S4103 may be implemented as independent embodiments, and steps S4101 and S4103 may be implemented as independent embodiments, but are not limited thereto.

[0450] In some embodiments, the order of steps S4101 and S4102 can be swapped or performed simultaneously.

[0451] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 4 a .

[0452] FIG4b is a schematic diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG4b, the embodiment of the present disclosure relates to a communication method, which is executed by terminal 101 and includes:

[0453] Step S4201 , the terminal 101 receives configuration information sent by the network device 102 .

[0454] In some embodiments, the implementation of step S4201 can refer to the relevant implementation of step S2103 and will not be repeated here.

[0455] In some embodiments, the prediction model is used for time domain prediction of channel state information (CSI).

[0456] In some embodiments, the first RS includes one or more resources, each resource having a corresponding resource identifier.

[0457] Optionally, the first RS includes one or more first resource sets;

[0458] Each first resource set includes one or more resources.

[0459] Optionally, the first RS includes one or more first resource configurations, and each first resource configuration includes one or more first resource sets.

[0460] In some embodiments, the first resource set is at least one of the following:

[0461] NZP-CSI-RS resource set;

[0462] ZP-CSI-RS resource set;

[0463] CSI-SSB resource collection;

[0464] CSI-IM resource collection.

[0465] In some embodiments, at least one of the resources, the first set of resources, and the first resource configuration is periodic, semi-static, or aperiodic.

[0466] In some embodiments, the first RS satisfies at least one of the following:

[0467] The first condition in the time domain;

[0468] The second condition in the frequency domain;

[0469] The third condition in the time-frequency domain;

[0470] The fourth condition on airspace.

[0471] In the first example, the first condition includes at least one of the following:

[0472] The first time at which the first RS is located is the same as or differs from the second time within a set range, wherein the second time is a prediction time corresponding to at least part of the prediction result of the prediction model;

[0473] The first period is the same as the second period, wherein the first period is a sending period of the first RS configured by the network device, and the second period is a reporting period of the prediction result indicated by the network device through the first reporting configuration.

[0474] Optionally, the first report configuration is bound to the first resource configuration, wherein the first resource configuration includes: a first resource set where the resource identifier of the first RS is located.

[0475] Optionally, the prediction time includes the reporting time of the prediction result;

[0476] The prediction result is the predicted CSI, and the reporting time is indicated by the network device through the report configuration corresponding to the prediction result.

[0477] In the second example, the second condition includes:

[0478] The frequency domain information of the first RS is the same as the frequency domain information corresponding to the second resource configuration, wherein the second resource configuration is bound to the first report configuration corresponding to the prediction result, and the second resource configuration is used to configure the RS corresponding to the input information of the prediction model.

[0479] Optionally, the frequency domain information includes at least one of the following:

[0480] Occupied resource block RB position;

[0481] Information on broadband or narrowband usage;

[0482] Occupied bandwidth portion BWP;

[0483] Occupied frequency band or FR;

[0484] Occupied carrier.

[0485] In the third example, the third condition includes:

[0486] The first RS and the second resource configuration occupy the same REs within one RB.

[0487] In the fourth example, the fourth condition includes at least one of the following:

[0488] The beam shape used by the first RS and the second resource configuration is the same;

[0489] The first RS and the second resource configuration use the same precoding matrix;

[0490] The first RS and the second resource configuration use the same TCI;

[0491] The first RS and the second resource configuration use the same QCL;

[0492] The second resource configuration is bound to the first report configuration corresponding to the prediction result, and the second resource configuration is used to configure the RS corresponding to the input information of the prediction model.

[0493] In some embodiments, the resource identifier of the first RS is the same as some or all of the resource identifiers in at least one second resource configuration; and / or,

[0494] The resource set identifier of the first RS is the same as some or all of the resource set identifiers in at least one second resource configuration;

[0495] The resource configuration identifier of the first RS is the same as part or all of the resource configuration identifiers of at least one second resource configuration;

[0496] The second resource configuration is bound to the first report configuration corresponding to the prediction result, and the second resource configuration is used to configure the RS corresponding to the input information of the prediction model.

[0497] In some embodiments, the first RS satisfies one of the following:

[0498] The first RS is not bound to the corresponding report configuration;

[0499] The first RS is bound to a corresponding report configuration, and the corresponding report configuration indicates that the report content is empty;

[0500] The first RS is bound to the corresponding report configuration, and the report content indicated in the corresponding report configuration is considered to be empty.

[0501] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 4 b .

[0502] FIG4c is a schematic diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG4c, the embodiment of the present disclosure relates to a communication method, which is executed by terminal 101 and includes:

[0503] Step S4301 , the terminal 101 receives configuration information sent by the network device 102 .

[0504] In some embodiments, the implementation of step S4301 can refer to the relevant implementation of step S2103 and will not be repeated here.

[0505] In step S4302 , the terminal 101 measures at least one set of RSs in the supervision phase of the CSI time-domain prediction model to obtain a control CSI.

[0506] In some embodiments, the implementation of step S4302 can refer to the relevant implementation of step S2105 and will not be repeated here.

[0507] In step S4303 , the terminal 101 determines comparison information between the reference CSI and the predicted CSI of the CSI time domain prediction model.

[0508] In some embodiments, the implementation of step S4303 can refer to the relevant implementation of step S2106 and will not be repeated here.

[0509] In some embodiments, the comparison information includes at least one of the following:

[0510] NMSE;

[0511] SGCS.

[0512] In some embodiments, comparing the CSI or predicting the CSI includes at least one of the following:

[0513] Channel matrix information;

[0514] Codebook parameters predefined or indicated by network equipment;

[0515] The codeword information of the reference CSI or predicted CSI under the corresponding codebook parameters.

[0516] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 4c.

[0517] FIG4d is a schematic diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG4d , the embodiment of the present disclosure relates to a communication method, which is executed by terminal 101 and includes:

[0518] In step S4401 , the terminal 101 sends instruction information to the network device 102 .

[0519] In some embodiments, the implementation of step S4401 can refer to the relevant implementation of step S2101 and will not be repeated here.

[0520] Step S4402 , the terminal 101 receives the configuration information sent by the network device 102 .

[0521] In some embodiments, the implementation of step S4402 can refer to the relevant implementation of step S2103 and will not be repeated here.

[0522] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 4 d .

[0523] FIG4e is a schematic diagram of a communication method according to an embodiment of the present disclosure. As shown in FIG4e, the embodiment of the present disclosure relates to a communication method, which is executed by terminal 101 and includes:

[0524] Step S4501 : Terminal 101 sends auxiliary information to network device 102 .

[0525] In some embodiments, the implementation of step S4501 can refer to the relevant implementation of step S2102 and will not be repeated here.

[0526] Step S4502 , the terminal 101 receives configuration information sent by the network device 102 .

[0527] In some embodiments, the implementation of step S4502 can refer to the relevant implementation of step S2103 and will not be repeated here.

[0528] In some embodiments, the auxiliary information includes at least one of the following:

[0529] The number of prediction results of the prediction model;

[0530] the time interval between prediction results;

[0531] The time interval between the prediction result and the input information of the prediction model.

[0532] In some embodiments, reference may be made to other optional implementations described before or after the description corresponding to FIG. 4e.

[0533] To facilitate understanding of the embodiments of the present disclosure, some specific examples are listed below:

[0534] Example 1:

[0535] The base station configures at least one set of downlink reference signals, such as Monitor-RS, for the UE. The reference signal is at least used for the UE to perform performance monitoring of the AI-based MIMO enhancement model.

[0536] Example 2:

[0537] RS is used to measure downlink channel information. For example, monitor-RS is a resource set obtained by combining one or more resources. The resource set may be periodic, semi-static, or non-periodic.

[0538] Example 3:

[0539] Monitor RS can be a resource configuration (resource config or setting), which contains one or more resource sets (resource sets); or,

[0540] The monitor RS can be a resource set that includes one or more resource identifiers (resource IDs). For example, a resource set can be configured as a Monitor-RS, and the resource set can be an NZP-CSI-RS resource set, a CSI-SSB resource set, or a CSI-IM resource set.

[0541] Optionally, Example 3 can be implemented based on Example 2.

[0542] For example, the Monitor RS configuration method can refer to the following method:

[0543] Monitor RS configuration: The RRC IE configuration (RRC information element) of the Monitor-RS-ResourceSet includes multiple NZP-CSI-RS-ResourceIDs and multiple ZP-CSI-RS-ResourceIDs. The IE configuration corresponding to the NZP-CSI-RS-ResourceID or ZP-CSI-RS-ResourceID includes detailed time-frequency resource configuration information.

[0544] Example 4:

[0545] The time, and / or frequency, and / or spatial characteristics of the Monitor RS comply with certain rules.

[0546] The rule includes: in terms of time, the Monitor-RS is at least the same as the reporting time of part of the CSI.

[0547] The period of the Monitor RS is configured through RRC, and its period is the same as the period of the report config bound to the resource config where the resource set where the resource ID is located is located, or the same as the reporting time of the bound report config.

[0548] The rule includes: in terms of frequency, the frequency domain characteristics of the Monitor-RS are the same as the resource associated with the CSI reported at that moment, such as the occupied RB position, the CC in which it is located, etc.

[0549] In addition, the time-frequency resources (RE) occupied by the Monitor RS in one slot are the same as the CSI resource setting bound to the CSI report setting.

[0550] The resource ID or resource set ID is the same as at least part of the resource ID / resource ser ID in the resource config / setting bound to at least one CSI report config / setting.

[0551] The rule includes: in terms of space, the base station needs to ensure that the beamforming, and / or precoder, and / or TCI used by the Monitor-RS and the resource bound to the CSI reported at that moment are the same.

[0552] Example 5:

[0553] The UE does not want the RS sent by the base station for AI CSI prediction model performance monitoring to not comply with one of the rules in the above example four.

[0554] Example 6:

[0555] Configuration signaling is RRC.

[0556] Example 7:

[0557] For Monitor RS, it is not associated with the report setting.

[0558] Or, the report quantity corresponding to the bound report setting is "none";

[0559] Alternatively, it is bound to the report setting / report config, but the terminal can ignore the actual content of its report quantity configuration and assume that the report quantity is none.

[0560] For example, some Monitor RS configuration methods can refer to the following:

[0561] Monitor RS is bound to CSI report config:

[0562] The RRC IE Report config includes CSI-ReportConfigId. Furthermore, the IE configuration corresponding to the CSI-ReportConfigID includes report quantity, and the report quantity is configured as none.

[0563] The RRC IE Report config includes ResourceForChannelMesaurement. Furthermore, the IE configuration corresponding to CSI-ResourceConfigId includes NZP-CSI-RS-ResourceSet. The NZP-CSI-RS-ResourceSet is configured for monitor use, that is, Monitor-Info ENUMERATED {true}.

[0564] The RRC IE Report config includes csi-IM-ResourcesForInterference. Furthermore, the IE configuration corresponding to CSI-ResourceConfigId includes ZP-CSI-RS-ResourceSet, which is configured for Monitor, that is, Monitor-Info ENUMERATED {true}.

[0565] Example 8:

[0566] The above rules are determined based on the auxiliary information of the UE-side model, which includes at least one of the following:

[0567] The number of prediction results of the prediction model;

[0568] The time interval between the prediction results of the prediction model. The time interval unit can be slot, ms, etc.

[0569] The time interval between the prediction result of the prediction model and the input sample. The unit of the time interval can be slot, ms, etc.

[0570] Example 9:

[0571] AI-based MIMO enhancement can be AI-based CSI time domain prediction.

[0572] Example 10:

[0573] After receiving the Monitor-RS, the UE calculates the difference or similarity between the measured channel information and the reported channel information, such as NMSE and SGCS, where the channel information can be:

[0574] Measured channel matrix information, predicted channel matrix information;

[0575] According to the codebook parameters predefined or indicated by the base station, the codeword information of the measured channel under the corresponding codebook parameters and the codeword information of the predicted channel under the corresponding codebook parameters.

[0576] The embodiments of the present disclosure further provide an apparatus for implementing any of the above methods. For example, an apparatus is provided, comprising units or modules for implementing each step performed by a terminal in any of the above methods. For another example, another apparatus is provided, comprising units or modules for implementing each step performed by a network device (e.g., an access network device, a core network function node, a core network device, etc.) in any of the above methods.

[0577] It should be understood that the division of the various units or modules in the above device is merely a division of logical functions. In actual implementation, they may be fully or partially integrated into a physical entity, or they may be physically separated. In addition, the units or modules in the device may be implemented in the form of a processor calling software: for example, the device includes a processor, the processor is connected to a memory, and the memory stores instructions. The processor calls the instructions stored in the memory to implement any of the above methods or implement the functions of the various units or modules of the above device, wherein the processor is, for example, a general-purpose processor, such as a central processing unit (CPU) or a microprocessor, and the memory is a memory within the device or a memory outside the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits, and the functions of some or all of the units or modules can be realized by designing the hardware circuits. The above-mentioned hardware circuits can be understood as one or more processors; for example, in one implementation, the above-mentioned hardware circuit is an application-specific integrated circuit (ASIC), and the functions of some or all of the above units or modules are realized by designing the logical relationship of the components in the circuit; for example, in another implementation, the above-mentioned hardware circuit can be realized by a programmable logic device (PLD). Taking a field programmable gate array (FPGA) as an example, it can include a large number of logic gate circuits, and the connection relationship between the logic gate circuits is configured by configuring the configuration file, thereby realizing the functions of some or all of the above units or modules. All units or modules of the above devices can be realized in the form of software called by the processor, or in the form of hardware circuits, or in part by the form of software called by the processor, and the remaining part by the form of hardware circuits.

[0578] In the embodiments of the present disclosure, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction reading and execution capabilities, such as a central processing unit (CPU), a microprocessor, a graphics processing unit (GPU) (which can be understood as a microprocessor), or a digital signal processor (DSP). In another implementation, the processor can implement certain functions through the logical relationship of the hardware circuit. The logical relationship of the above-mentioned hardware circuit is fixed or reconfigurable. For example, the processor is a hardware circuit implemented by an application-specific integrated circuit (ASIC) or a programmable logic device (PLD), such as an FPGA. In a reconfigurable hardware circuit, the process of the processor loading a configuration document and implementing the hardware circuit configuration can be understood as the process of the processor loading instructions to implement the functions of some or all of the above units or modules. In addition, it can also be a hardware circuit designed for artificial intelligence, which can be understood as an ASIC, such as a neural network processing unit (NPU), a tensor processing unit (TPU), a deep learning processing unit (DPU), etc.

[0579] Figure 5a is a schematic diagram of the structure of a terminal 101 according to an embodiment of the present disclosure. As shown in Figure 5a, terminal 5100 may include at least one of a transceiver module 5101 and a processing module 5102. In some embodiments, transceiver module 5101 is configured to receive configuration information sent by a network device. This configuration information is used to configure at least one first RS group for the terminal. This first RS group is used by the terminal to perform performance monitoring based on an AI or ML-based predictive model.

[0580] Optionally, the transceiver module 5101 is configured to execute at least one of the communication steps of sending and / or receiving executed by the terminal 101 in any of the above methods. Optionally, the processing module 5102 is configured to execute at least one of the other steps executed by the terminal 101 in any of the above methods.

[0581] Figure 5b is a schematic diagram of the structure of network device 102 according to an embodiment of the present disclosure. As shown in Figure 5b, terminal 5200 may include at least one of a transceiver module 5201 and a processing module 5202. In some embodiments, transceiver module 5201 is configured to send configuration information to the terminal. The configuration information is used to configure at least one set of first reference signals (RSs) for the terminal. The at least one set of first reference signals (RSs) is used by the terminal to perform performance monitoring based on a prediction model based on artificial intelligence (AI) or machine learning (ML).

[0582] Optionally, the transceiver module 5201 is configured to execute at least one of the communication steps of sending and / or receiving performed by the network device 102 in any of the above methods. Optionally, the processing module 5202 is configured to execute at least one of the other steps performed by the network device 102 in any of the above methods.

[0583] In some embodiments, the transceiver module may include a transmitting module and / or a receiving module, and the transmitting module and the receiving module may be separate or integrated. Optionally, the transceiver module may be interchangeable with the transceiver.

[0584] In some embodiments, the processing module can be a single module or can include multiple submodules. Optionally, the multiple submodules respectively execute all or part of the steps required to be executed by the processing module. Optionally, the processing module can be interchangeable with the processor.

[0585] Figure 6a is a schematic diagram of the structure of a communication device 6100 proposed in an embodiment of the present disclosure. Communication device 6100 can be a network device (e.g., an access network device, a core network device, etc.), a terminal (e.g., a user equipment, etc.), a chip, a chip system, or a processor that supports a network device implementing any of the above methods, or a chip, a chip system, or a processor that supports a terminal implementing any of the above methods. Communication device 6100 can be used to implement the methods described in the above method embodiments. For details, please refer to the description of the above method embodiments.

[0586] As shown in Figure 6a, the communication device 6100 includes one or more processors 6101 and a memory. The processor 6101 can be a general-purpose processor or a dedicated processor, for example, a baseband processor or a central processing unit. The baseband processor can be used to process communication protocols and communication data, and the central processing unit can be used to control the communication device (such as a base station, a baseband chip, a terminal device, a terminal device chip, a DU or a CU, etc.), execute programs, and process program data. The communication device 6100 is used to perform any of the above methods.

[0587] In some embodiments, the communication device 6100 further includes a memory 6102 coupled to one or more processors, the memory 6102 being used to store instructions, and one or more memories 6102 may be configured. Alternatively, all or part of the memory 6102 may be located outside the communication device 6100.

[0588] In some embodiments, the communication device 6100 further includes one or more transceivers 6103. When the communication device 6100 includes one or more transceivers 6103, the transceiver 6103 performs at least one of the communication steps such as sending and / or receiving in the above method (for example, step S2101 and step S2102, but not limited thereto), and the processor 6101 performs at least one of the other steps (for example, step S2103, step S2104, and step S2105, but not limited thereto).

[0589] In some embodiments, a transceiver may include a receiver and / or a transmitter. The receiver and transmitter may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, and transceiver circuit may be used interchangeably; the terms transmitter, transmitting unit, transmitter, and transmitting circuit may be used interchangeably; and the terms receiver, receiving unit, receiver, and receiving circuit may be used interchangeably.

[0590] In some embodiments, the communication device 6100 may include one or more interface circuits 6104. Optionally, the interface circuit 6104 is connected to the memory 6102. The interface circuit 6104 may be configured to receive signals from the memory 6102 or other devices, and may be configured to send signals to the memory 6102 or other devices. For example, the interface circuit 6104 may read instructions stored in the memory 6102 and send the instructions to the processor 6101.

[0591] The communication device 6100 described in the above embodiment may be a network device or a terminal, but the scope of the communication device 6100 described in the present disclosure is not limited thereto, and the structure of the communication device 6100 may not be limited by FIG. 6a. The communication device may be an independent device or may be part of a larger device. For example, the communication device may be: 1) an independent integrated circuit IC, or a chip, or a chip system or subsystem; (2) a collection of one or more ICs, optionally, the above IC collection may also include a storage component for storing data or programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, a terminal device, an intelligent terminal device, a cellular phone, a wireless device, a handheld device, a mobile unit, an in-vehicle device, a network device, a cloud device, an artificial intelligence device, etc.; (6) others, etc.

[0592] FIG6b is a schematic diagram of the structure of a chip 6200 according to an embodiment of the present disclosure. If the communication device 6100 can be a chip or a chip system, reference can be made to the schematic diagram of the structure of the chip 6200 shown in FIG6b , but the present disclosure is not limited thereto.

[0593] The chip 6200 includes one or more processors 6201 , and the chip 6200 is configured to execute any of the above methods.

[0594] In some embodiments, the chip 6200 further includes one or more interface circuits 6202. Optionally, the interface circuit 6202 is connected to the memory 6203. The interface circuit 6202 can be used to receive signals from the memory 6203 or other devices, and can be used to send signals to the memory 6203 or other devices. For example, the interface circuit 6202 can read instructions stored in the memory 6203 and send the instructions to the processor 6201.

[0595] In some embodiments, the interface circuit 6202 executes at least one of the communication steps such as sending and / or receiving in the above method (for example, step S2101, step S2102, but not limited to these), and the processor 6201 executes at least one of the other steps (for example, step S2103, step S2104, S2105, but not limited to these).

[0596] In some embodiments, terms such as interface circuit, interface, transceiver pin, and transceiver may be used interchangeably.

[0597] In some embodiments, the chip 6200 further includes one or more memories 6203 for storing instructions. Alternatively, all or part of the memories 6203 may be located outside the chip 6200.

[0598] The present disclosure also proposes a storage medium having instructions stored thereon. When the instructions are executed on the communication device 6100, the communication device 6100 executes any of the above methods. Optionally, the storage medium is an electronic storage medium. Optionally, the storage medium is a computer-readable storage medium, but is not limited thereto and may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but is not limited thereto and may also be a transient storage medium.

[0599] The present disclosure also provides a program product, which, when executed by the communication device 6100, enables the communication device 6100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0600] The present disclosure also proposes a computer program, which, when executed on a computer, causes the computer to perform any one of the above methods. Industrial Applicability

[0601] In the method disclosed herein, the network device sends configuration information to the terminal, thereby configuring a first RS for the terminal for performance monitoring of an AI or ML-based prediction model, so that the terminal can perform measurements according to the corresponding first RS to perform performance monitoring of the prediction model.

Claims

1. A communication method, comprising: The network device sends configuration information to the terminal, where the configuration information is used to configure at least one group of first reference signals RS for the terminal, and the at least one group of first RS is used by the terminal to perform performance monitoring of a prediction model based on artificial intelligence AI or machine learning ML.

2. The method of claim 1, wherein: The prediction model is used for time domain prediction of channel state information CSI.

3. The method of claim 2, wherein: The at least one group of first RSs is used by the terminal to measure and obtain the control CSI corresponding to the supervision phase of the CSI time domain prediction model.

4. The method according to any one of claims 1 to 3, wherein: The first RS includes one or more resources, and each resource has a corresponding resource identifier.

5. The method of claim 4, wherein: The first RS includes one or more first resource sets; Each of the first resource sets includes the one or more resources.

6. The method of claim 5, wherein: The first RS includes one or more first resource configurations, and each of the first resource configurations includes the one or more first resource sets.

7. The method according to claim 5 or 6, wherein: The first resource set is at least one of the following: A non-zero power channel state information reference signal NZP-CSI-RS resource set; Channel state information synchronization signal block CSI-SSB resource set; Zero-power channel state information reference signal ZP-CSI-RS resource set; Channel state information interference measurement CSI-IM resource set.

8. The method of claim 6, wherein: At least one of the resources, the first set of resources, and the first resource configuration is periodic, semi-static, or aperiodic.

9. The method according to any one of claims 1 to 8, wherein: The first RS satisfies at least one of the following: The first condition in the time domain; The second condition in the frequency domain; The third condition in the time-frequency domain; The fourth condition on airspace.

10. The method of claim 9, wherein: The first condition includes at least one of the following: The first time at which the first RS is located is the same as or differs from the second time within a set range, wherein the second time is a prediction time corresponding to at least part of the prediction results of the prediction model; The first period is the same as the second period, wherein the first period is a sending period of the first RS configured by the network device, and the second period is a reporting period of a prediction result indicated by the network device through a first report configuration.

11. The method according to claim 9 or 10, wherein: The first report configuration is bound to a first resource configuration, wherein the first resource configuration includes: a first resource set where the resource identifier of the first RS is located.

12. The method of claim 10, wherein: The prediction time includes the reporting time of the prediction result; The prediction result is the predicted CSI, and the reporting time is indicated by the network device through a report configuration corresponding to the prediction result.

13. The method of claim 9, wherein: The second condition includes: The frequency domain information of the first RS is the same as the frequency domain information corresponding to the second resource configuration, wherein the second resource configuration is bound to the first report configuration corresponding to the prediction result, and the second resource configuration is used to configure the RS corresponding to the input information of the prediction model.

14. The method of claim 13, wherein: The frequency domain information includes at least one of the following: Occupied resource block RB position; Information on broadband or narrowband usage; Occupied bandwidth portion BWP; Occupied frequency band or frequency band range FR; Occupied carrier.

15. The method of claim 13, wherein: The third condition includes: The time-frequency resources RE occupied by the first RS and the second resource configuration in one RB are the same.

16. The method of claim 9, wherein: The fourth condition includes at least one of the following: The first RS and the second resource configuration use the same beam shape; The first RS and the second resource configuration use the same precoding matrix; The first RS and the second resource configuration use the same transmission configuration indication TCI; The first RS and the second resource configuration use the same quasi-co-located QCL; The second resource configuration is bound to the first report configuration corresponding to the prediction result, and the second resource configuration is used to configure the RS corresponding to the input information of the prediction model.

17. The method according to any one of claims 9 to 16, wherein: The resource identifier of the first RS is the same as part or all of the resource identifiers in at least one second resource configuration; and / or, The resource set identifier of the first RS is the same as part or all of the resource set identifiers in at least one second resource configuration; and / or The resource configuration identifier of the first RS is the same as part or all of the resource configuration identifiers of at least one second resource configuration; The second resource configuration is bound to the first report configuration corresponding to the prediction result, and the second resource configuration is used to configure the RS corresponding to the input information of the prediction model.

18. The method according to any one of claims 9 to 16, wherein: The method further comprises: The network device receives indication information sent by the terminal, where the indication information is used to indicate that the terminal does not expect the configured first RS to not satisfy the first condition, the second condition, the third condition and the fourth condition.

19. The method according to any one of claims 9 to 16, wherein: The method further comprises: The network device receives auxiliary information sent by the terminal, wherein the auxiliary information is used to indicate information of the prediction model, wherein at least one of the first condition, the second condition, the third condition and the fourth condition is determined based on the auxiliary information.

20. The method of claim 19, wherein: The auxiliary information includes at least one of the following: The number of prediction results of the prediction model; The time interval between the prediction results; The time interval between the prediction result and the input information of the prediction model.

21. The method according to any one of claims 1 to 20, wherein: The first RS satisfies one of the following: The first RS is not bound to a corresponding report configuration; The first RS is bound to a corresponding report configuration, and the corresponding report configuration indicates that the report content is empty; The first RS is bound to a corresponding report configuration, and the report content indicated in the corresponding report configuration is considered to be empty.

22. A communication method, comprising: The terminal receives configuration information sent by the network device, where the configuration information is used to configure at least one group of first RSs for the terminal, and the at least one group of first RSs is used by the terminal to perform performance monitoring of a prediction model based on AI or ML.

23. The method of claim 22, wherein: The prediction model is used for time domain prediction of channel state information CSI.

24. The method of claim 23, wherein: The method further comprises: The terminal measures the at least one group of first RSs in a supervision phase of a CSI time domain prediction model to obtain a control CSI; The terminal determines comparison information between the reference CSI and the predicted CSI of the CSI time domain prediction model.

25. The method of claim 24, wherein: The comparison information includes at least one of the following: Normalized mean square error NMSE; The squared generalized cosine similarity (SGCS).

26. The method of claim 24, wherein: The reference CSI or the predicted CSI includes at least one of the following: Channel matrix information; Codebook parameters predefined or indicated by the network device; The reference CSI or the predicted CSI has codeword information under the corresponding codebook parameters.

27. The method according to any one of claims 22 to 26, wherein: The first RS includes one or more resources, and each resource has a corresponding resource identifier.

28. The method of claim 27, wherein: The first RS includes one or more first resource sets; Each of the first resource sets includes the one or more resources.

29. The method of claim 28, wherein: The first RS includes one or more first resource configurations, and each of the first resource configurations includes the one or more first resource sets.

30. The method of claim 28 or 29, wherein: The first resource set is at least one of the following: NZP-CSI-RS resource set; ZP-CSI-RS resource set; CSI-SSB resource collection; CSI-IM resource collection.

31. The method of claim 29, wherein: At least one of the resources, the first set of resources, and the first resource configuration is periodic, semi-static, or aperiodic.

32. The method of any one of claims 22 to 31, wherein: The first RS satisfies at least one of the following: The first condition in the time domain; The second condition in the frequency domain; The third condition in the time-frequency domain; The fourth condition on airspace.

33. The method of claim 32, wherein: The first condition includes at least one of the following: The first time at which the first RS is located is the same as or differs from the second time within a set range, wherein the second time is a prediction time corresponding to at least part of the prediction results of the prediction model; The first period is the same as the second period, wherein the first period is a sending period of the first RS configured by the network device, and the second period is a reporting period of a prediction result indicated by the network device through a first report configuration.

34. The method of claim 32 or 33, wherein: The first report configuration is bound to a first resource configuration, wherein the first resource configuration includes: a first resource set where the resource identifier of the first RS is located.

35. The method of claim 33, wherein: The prediction time includes the reporting time of the prediction result; The prediction result is the predicted CSI, and the reporting time is indicated by the network device through a report configuration corresponding to the prediction result.

36. The method of claim 32, wherein: The second condition includes: The frequency domain information of the first RS is the same as the frequency domain information corresponding to the second resource configuration, wherein the second resource configuration is bound to the first report configuration corresponding to the prediction result, and the second resource configuration is used to configure the RS corresponding to the input information of the prediction model.

37. The method of claim 36, wherein: The frequency domain information includes at least one of the following: Occupied resource block RB position; Information on broadband or narrowband usage; Occupied bandwidth portion BWP; Occupied frequency band or FR; Occupied carrier.

38. The method of claim 36, wherein: The third condition includes: The first RS and the second resource configuration occupy the same REs within one RB.

39. The method of claim 32, wherein: The fourth condition includes at least one of the following: The first RS and the second resource configuration use the same beam shape; The first RS and the second resource configuration use the same precoding matrix; The first RS and the second resource configuration use the same TCI; The first RS and the second resource configuration use the same QCL; The second resource configuration is bound to the first report configuration corresponding to the prediction result, and the second resource configuration is used to configure the RS corresponding to the input information of the prediction model.

40. The method of any one of claims 32 to 39, wherein: The resource identifier of the first RS is the same as part or all of the resource identifiers in at least one second resource configuration; and / or, The resource set identifier of the first RS is the same as part or all of the resource set identifiers in at least one second resource configuration; The resource configuration identifier of the first RS is the same as part or all of the resource configuration identifiers of at least one second resource configuration; The second resource configuration is bound to the first report configuration corresponding to the prediction result, and the second resource configuration is used to configure the RS corresponding to the input information of the prediction model.

41. The method of any one of claims 32 to 39, wherein: The method further comprises: The terminal sends indication information to the network device, where the indication information is used to indicate that the terminal does not expect the configured first RS to not satisfy the first condition, the second condition, the third condition and the fourth condition.

42. The method of any one of claims 32 to 39, wherein: The method further comprises: The terminal sends auxiliary information to the network device, wherein the auxiliary information is used to indicate information of the prediction model, wherein at least one of the first condition, the second condition, the third condition and the fourth condition is determined based on the auxiliary information.

43. The method of claim 42, wherein: The auxiliary information includes at least one of the following: The number of prediction results of the prediction model; The time interval between the prediction results; The time interval between the prediction result and the input information of the prediction model.

44. The method of any one of claims 22 to 43, wherein: The first RS satisfies one of the following: The first RS is not bound to a corresponding report configuration; The first RS is bound to a corresponding report configuration, and the corresponding report configuration indicates that the report content is empty; The first RS is bound to a corresponding report configuration, and the report content indicated in the corresponding report configuration is considered to be empty.

45. A network device comprising: A transceiver module is used to send configuration information to a terminal, wherein the configuration information is used to configure at least one group of first reference signals RS for the terminal, and the at least one group of first RS is used by the terminal to perform performance monitoring of a prediction model based on artificial intelligence AI or machine learning ML.

46. ​​A terminal comprising: A transceiver module is used to receive configuration information sent by a network device, where the configuration information is used to configure at least one group of first RSs for the terminal, and the at least one group of first RSs is used for the terminal to perform performance monitoring of a prediction model based on AI or ML.

47. A network device comprising: one or more processors; Wherein, the network device executes the method described in any one of claims 1 to 21.

48. A terminal, comprising: one or more processors; The terminal executes the method described in any one of claims 22 to 44.

49. A communication system, comprising a network device and a terminal, wherein: The network device is configured to implement the method according to any one of claims 1 to 21, The terminal is configured to implement the method according to any one of claims 22 to 44.

50. A storage medium storing instructions, which, when executed on a communication device, causes the communication device to execute the method of any one of claims 1 to 21 or any one of claims 22 to 44.

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