Measurement reporting method, communication device, communication system and storage medium

Abstract

The invention provides a measurement reporting method, communication equipment, a communication system and a storage medium, and the method comprises the steps: receiving first configuration information which is used for configuring a terminal to carry out measurement and / or measurement reporting; receiving first information, wherein the first information is used for indicating artificial intelligence (AI) capability corresponding to at least one to-be-tested target; wherein the to-be-tested target is configured by the first configuration information; and determining whether to measure and report the to-be-measured target based on the AI demand of the terminal and the AI capability. According to the method disclosed by the invention, smooth execution of the AI service of the terminal is ensured, and the user experience is ensured.

Description

Measurement reporting methods, communication equipment, communication systems, and storage media Technical Field

[0001] This disclosure relates to the field of communication technology, and in particular to measurement reporting methods, communication equipment, communication systems, and storage media. Background Technology

[0002] In communication systems, network devices are typically configured with terminals to perform measurement reporting operations. Optionally, when performing measurement reporting, the terminal can usually determine whether to perform the reporting based on the signal strength and threshold value of the cell corresponding to the target being measured. For example, when the signal strength of the cell corresponding to the target being measured is greater than the threshold value, the terminal can report the measurement of the target being measured. Furthermore, the network device can select a cell with better communication quality from the cells corresponding to the target being measured based on the measurement results reported by the terminal to schedule the terminal to perform mobility operations (such as handover operations). However, in current terminal measurement reporting methods, the artificial intelligence (AI) capabilities of the cell corresponding to the target being measured, as actually measured by the terminal, may not meet the terminal's AI requirements. In this case, if the terminal reports the measurement results of the target being measured, the network device is very likely to schedule the terminal to access the cell corresponding to the target being measured, which may cause the AI ​​services to fail after the terminal accesses the cell, affecting communication performance.

[0003] Summary of the Invention

[0004] This disclosure proposes a measurement reporting method, communication equipment, communication system, and storage medium.

[0005] According to a first aspect of the embodiments of this disclosure, a measurement reporting method is proposed, executed by a terminal, comprising:

[0006] Receive first configuration information, which is used to configure the terminal to perform measurement and / or measurement reporting;

[0007] Receive first information, which is used to indicate the artificial intelligence (AI) capability corresponding to at least one target to be tested; wherein the target to be tested is configured by the first configuration information;

[0008] Based on the AI ​​requirements and capabilities of the terminal, it is determined whether to measure and report the target to be tested.

[0009] According to a second aspect of the embodiments of this disclosure, a measurement reporting method is provided, performed by a network device, the method comprising:

[0010] Send first configuration information, which is used to configure the terminal to perform measurement and / or measurement reporting;

[0011] Send first information, which is used to indicate the artificial intelligence (AI) capability corresponding to at least one target to be tested; wherein the target to be tested is configured by the first configuration information.

[0012] According to a third aspect of the present disclosure, a measurement reporting method is provided for a communication system, the communication system including a terminal and a network device, the method comprising:

[0013] The network device sends first configuration information, which is used to configure the terminal to perform measurement and / or measurement reporting.

[0014] The network device sends first information, which is used to indicate the artificial intelligence (AI) capability corresponding to at least one target to be tested; wherein the target to be tested is configured by the first configuration information.

[0015] The terminal receives the first configuration information;

[0016] The terminal receives the first information;

[0017] The terminal determines whether to measure and report the target under test based on its AI requirements and AI capabilities.

[0018] According to a fourth aspect of the embodiments of this disclosure, a terminal is provided, comprising:

[0019] The transceiver module is used to receive first configuration information, which is used to configure the terminal to perform measurement and / or measurement reporting.

[0020] The transceiver module is further configured to receive first information, which indicates the artificial intelligence (AI) capability corresponding to at least one target to be tested; wherein the target to be tested is configured by the first configuration information.

[0021] The processing module is used to determine whether to measure and report the target under test based on the AI ​​requirements and AI capabilities of the terminal.

[0022] According to a fifth aspect of the embodiments of this disclosure, a network device is provided, comprising:

[0023] The transceiver module is used to send first configuration information, which is used to configure the terminal to perform measurement and / or measurement reporting.

[0024] The transceiver module is further configured to send first information, which indicates the artificial intelligence (AI) capability corresponding to at least one target to be tested; wherein the target to be tested is configured by the first configuration information.

[0025] According to a sixth aspect of the present disclosure, a communication device is provided, comprising:

[0026] One or more processors;

[0027] The processor is configured to invoke instructions to cause the communication device to execute any of the measurement reporting methods described in the first or second aspect.

[0028] According to a seventh aspect of the present disclosure, a communication system is provided, including a terminal and a network device, wherein the terminal is configured to implement the measurement reporting method described in the first aspect, and the network device is configured to implement the measurement reporting method described in the second aspect.

[0029] According to an eighth aspect of the present disclosure, a storage medium is provided that stores instructions that, when executed on a communication device, cause the communication device to perform a measurement reporting method as described in any of the first to second aspects.

[0030] In a ninth aspect, embodiments of this disclosure provide a program product, including a computer program that, when executed by a communication device, implements the measurement reporting method as described in the first and second aspects.

[0031] In a tenth aspect, embodiments of this disclosure provide a computer program that, when run on a computer, causes the computer to perform the measurement reporting method as described in the first and second aspects.

[0032] It is understood that the aforementioned terminals, network devices, communication devices, communication systems, storage media, program products, and computer programs are all used to execute the methods proposed in the embodiments of this disclosure. Therefore, the beneficial effects they can achieve can be referred to the beneficial effects in the corresponding methods, and will not be repeated here. Attached Figure Description

[0033] The above and / or additional aspects and advantages of this disclosure will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, in which:

[0034] Figure 1 is a schematic diagram of the architecture of some communication systems provided in the embodiments of this disclosure;

[0035] Figure 2 is a flowchart illustrating a measurement reporting method provided in an embodiment of this disclosure;

[0036] Figure 3 is a flowchart illustrating a measurement reporting method provided in another embodiment of this disclosure;

[0037] Figure 4 is a flowchart illustrating a measurement reporting method provided in another embodiment of this disclosure;

[0038] Figure 5 is a flowchart illustrating a measurement reporting method provided in another embodiment of this disclosure;

[0039] Figure 6A is a schematic diagram of the structure of a terminal provided in an embodiment of this disclosure;

[0040] Figure 6B is a schematic diagram of the structure of a network device provided in an embodiment of this disclosure;

[0041] Figure 7A is a schematic diagram of the structure of a communication device provided in an embodiment of this disclosure;

[0042] Figure 7B is a schematic diagram of the structure of a chip provided in an embodiment of this disclosure. Detailed Implementation

[0043] This disclosure provides a measurement reporting method, communication equipment, communication system, and storage medium.

[0044] In a first aspect, embodiments of this disclosure propose a measurement reporting method, executed by a terminal, the method comprising:

[0045] Receive first configuration information, which is used to configure the terminal to perform measurement and / or measurement reporting;

[0046] Receive first information, which is used to indicate the artificial intelligence (AI) capability corresponding to at least one target to be tested; wherein the target to be tested is configured by the first configuration information;

[0047] Based on the AI ​​requirements and capabilities of the terminal, it is determined whether to measure and report the target to be tested.

[0048] In the above embodiments, the terminal receives first configuration information, which is used to configure the terminal to perform measurement and / or measurement reporting. Subsequently, the terminal also receives first information, which indicates the AI ​​capabilities corresponding to at least one target under test. The terminal can determine whether to measure and report the target under test based on its AI requirements and AI capabilities. Optionally, the terminal can measure and report targets under test whose AI capabilities meet its AI requirements, but not those whose AI capabilities do not meet its AI requirements. This ensures that the AI ​​capabilities of the targets under test reported by the terminal all meet its AI requirements. Therefore, when the network device subsequently schedules mobility operations (such as switching to the cell corresponding to the target under test) based on the measurement results reported by the terminal, it can ensure that the AI ​​capabilities of the cell accessed by the terminal after performing the mobility operation meet the terminal's AI requirements, ensuring the smooth execution of the terminal's AI services and guaranteeing user experience. Furthermore, in the above embodiments, the terminal can avoid measuring and reporting the target under test whose AI capabilities do not meet the AI ​​requirements. This avoids unnecessary measurements and reports by the terminal, reduces unnecessary steps, improves efficiency, and saves resources and reporting signaling overhead.

[0049] In conjunction with some embodiments of the first aspect, in some embodiments, the first configuration information includes at least one of the following:

[0050] The second configuration information is used to configure layer 3 (L3) measurement and / or L3 reporting.

[0051] The third configuration information is used to configure layer 1 (L1) measurement and / or L1 reporting.

[0052] In conjunction with some embodiments of the first aspect, in some embodiments, the second configuration information includes at least one of the following:

[0053] At least one measurement object configuration, the measurement object configuration being used to configure a measurement object, the measurement object corresponding to one or more neighboring cells;

[0054] Measurement configuration corresponding to the object being measured;

[0055] The measurement identifier corresponding to the measurement object;

[0056] The reporting configuration corresponding to the measurement object.

[0057] In conjunction with some embodiments of the first aspect, in some embodiments, the third configuration information includes at least one of the following:

[0058] Measurement resource configuration, wherein the measurement resource configuration is used to configure a reference signal to be measured, the reference signal to be measured corresponding to one or more candidate cells;

[0059] Report configuration;

[0060] At least one candidate configuration, which is used to configure one or more candidate cells.

[0061] In the above embodiments, it is explained what specific configuration information can be configured so that the terminal can subsequently perform corresponding measurement reporting based on the first configuration information.

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

[0063] The object being measured;

[0064] The neighboring cells corresponding to the measurement object;

[0065] The neighboring cell set corresponding to the measurement object;

[0066] Candidate cells corresponding to the reference signal to be measured;

[0067] The candidate cell set corresponding to the reference signal to be measured.

[0068] In conjunction with some embodiments of the first aspect, in some embodiments, the AI ​​capability includes at least one of the following:

[0069] Does it support AI features?

[0070] Does it support AI services?

[0071] Does the terminal support providing AI service resources?

[0072] Does it support providing AI business services to the terminal?

[0073] In the above embodiments, it is explained which targets to be tested may specifically include and which AI capabilities may specifically include, so that the terminal can successfully determine which targets to be tested need to be measured and reported and which targets do not need to be measured and reported based on the AI ​​capabilities corresponding to these targets to be tested. This avoids unnecessary measurement and reporting by the terminal, reduces unnecessary steps, improves efficiency, and saves resources and reporting signaling overhead.

[0074] In conjunction with some embodiments of the first aspect, in some embodiments, the first information is used to indicate the AI ​​capability corresponding to at least one of the following:

[0075] Using the measurement object as the granularity, it indicates the AI ​​capabilities of one or more neighboring cells corresponding to the measurement object;

[0076] Using candidate configurations as the granularity, the AI ​​capabilities of one or more candidate cells corresponding to the candidate configurations are indicated;

[0077] Using a first cell set as the granularity, it indicates the AI ​​capabilities of one or more first cell sets. The first cell set includes one or more first cells, and different first cells in the first cell set correspond to the same node. The first cell includes: neighboring cells corresponding to the measurement object, and / or, candidate cells corresponding to the reference signal to be measured.

[0078] Using the first cell as the granularity, the AI ​​capabilities of each of the first cells are indicated.

[0079] In the above embodiments, it is explained how the first information specifically indicates the AI ​​capabilities of the target to be tested, so that the terminal can successfully determine the AI ​​capabilities of each target to be tested based on the first information, thereby facilitating the terminal to subsequently determine whether to measure and report the target to be tested based on the AI ​​capabilities and AI requirements.

[0080] In conjunction with some embodiments of the first aspect, in some embodiments, the measurement object configuration of the second configuration information includes the first information, which is used to indicate the AI ​​capabilities of one or more neighboring cells corresponding to the measurement object; or

[0081] The second configuration information includes one or more of the first information, with different first information associated with different neighboring cells corresponding to the measurement object. The first information is used to indicate the AI ​​capabilities of the neighboring cells; or

[0082] The second configuration information includes one or more of the first information, and different first information is associated with different neighbor cell sets corresponding to the measurement object. The first information is used to indicate the AI ​​capabilities of the cells in the neighbor cell set, and the neighbor cell set includes at least one neighbor cell.

[0083] In conjunction with some embodiments of the first aspect, in some embodiments,

[0084] The third configuration information includes one or more of the first information, wherein different first information is associated with different candidate configurations in the third configuration information, and the first information is used to indicate the AI ​​capability of the candidate cell corresponding to the candidate configuration; or

[0085] The third configuration information includes one or more of the first information, the first information being associated with a set of candidate configurations in the third configuration information, and the first information being used to indicate the AI ​​capabilities of the candidate cells corresponding to the set of candidate configurations; or

[0086] The candidate configuration of the third configuration information includes the first information, which is used to indicate the AI ​​capability of the candidate cell corresponding to the candidate configuration; or

[0087] The measurement resource configuration of the third configuration information includes one of the first pieces of information, which is used to indicate the AI ​​capabilities of candidate cells corresponding to one or more candidate configurations; or

[0088] The measurement resource configuration of the third configuration information includes one or more of the first information, and different first information is associated with different candidate configurations in the third configuration information. The first information is used to indicate the AI ​​capability of the candidate cell corresponding to the candidate configuration; or

[0089] The measurement resource configuration of the third configuration information includes one or more of the first information, the first information being associated with a set of candidate configurations in the third configuration information, and the first information being used to indicate the AI ​​capabilities of the candidate cells corresponding to the set of candidate configurations.

[0090] In the above embodiments, a specific method for sending the first information is described. Optionally, the first information can be carried in the second configuration information and / or the third configuration information, thereby enabling the successful transmission of the first information.

[0091] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0092] The terminal receives a second message, which indicates whether it can perform measurement and reporting on demand based on the AI ​​requirements.

[0093] In conjunction with some embodiments of the first aspect, in some embodiments, the second information is included in the measurement object configuration and / or reporting configuration of the second configuration information.

[0094] In conjunction with some embodiments of the first aspect, in some embodiments, the second information is included in the third configuration information, and / or the second information is included in the reporting configuration of the third configuration information.

[0095] In conjunction with some embodiments of the first aspect, in some embodiments, determining whether to measure and report the target under test based on the AI ​​requirements of the terminal and the AI ​​capabilities includes:

[0096] The second information indicates that the terminal can perform measurement and reporting on demand based on the AI ​​requirements, and determines whether to measure and report the target under test based on the terminal's AI requirements and the AI ​​capabilities.

[0097] In the above embodiments, the terminal will only determine whether to measure and report the target under test based on its AI requirements and capabilities when the network device instructs the terminal to perform measurement and reporting on demand based on AI needs. When the network device supports the terminal not performing measurement and reporting on demand based on AI requirements, the terminal will not determine whether to measure and report the target under test based on its AI requirements and capabilities. This ensures that the network device and the terminal have a unified understanding of "performing measurement and reporting on demand based on AI requirements" and ensures communication synchronization.

[0098] In conjunction with some embodiments of the first aspect, in some embodiments, determining whether to measure and report the target under test based on the AI ​​requirements of the terminal and the AI ​​capabilities includes at least one of the following:

[0099] The AI ​​capability corresponding to the target under test does not meet the AI ​​requirements of the terminal, so it is determined that the target under test will not be measured or reported.

[0100] The AI ​​capability corresponding to the target to be tested meets the AI ​​requirements of the terminal, and it is determined that the target to be tested will be measured and reported.

[0101] In conjunction with some embodiments of the first aspect, in some embodiments, determining whether to measure the target based on the AI ​​requirements of the terminal and the AI ​​capabilities includes at least one of the following:

[0102] If the AI ​​capabilities of all neighboring cells corresponding to the measurement object do not meet the AI ​​requirements of the terminal, it is determined that L3 measurement will not be performed on the neighboring cells of the measurement object.

[0103] If at least one of the neighboring cells corresponding to the measurement object includes a second cell, it is determined that L3 measurement will be performed on the second cell.

[0104] If the AI ​​capabilities of the neighboring cell do not meet the AI ​​requirements of the terminal, it is determined that L3 measurement will not be performed on the neighboring cell.

[0105] The AI ​​capabilities of the neighboring cell meet the AI ​​requirements of the terminal, and it is determined that L3 measurement should be performed on the neighboring cell;

[0106] The AI ​​capabilities of all neighboring cells in the neighboring cell cluster do not meet the AI ​​requirements of the terminal, therefore it is determined that L3 measurement will not be performed on the neighboring cells in the neighboring cell cluster.

[0107] The neighboring cell cluster includes the second cell, and it is determined that L3 measurements will be performed on the second cell; among which...

[0108] The AI ​​capabilities of the second cell meet the AI ​​requirements of the terminal.

[0109] In conjunction with some embodiments of the first aspect, in some embodiments, determining whether to measure the target based on the AI ​​requirements of the terminal and the AI ​​capabilities includes at least one of the following:

[0110] The AI ​​capabilities of all candidate cells corresponding to the third configuration information do not meet the AI ​​requirements of the terminal, so it is determined that L1 measurement will not be performed.

[0111] The third configuration information includes at least one candidate cell, which includes a second cell, and it is determined that L1 measurement will be performed on the second cell.

[0112] If the AI ​​capabilities of the candidate cell do not meet the AI ​​requirements of the terminal, it is determined that L1 measurement will not be performed on the candidate cell.

[0113] If the AI ​​capabilities of the candidate cell meet the AI ​​requirements of the terminal, it is determined that L1 measurement will be performed on the candidate cell.

[0114] If the AI ​​capabilities of all candidate cells in the candidate cell set do not meet the AI ​​requirements of the terminal, it is determined that L1 measurement will not be performed on the candidate cells in the candidate cell set.

[0115] The candidate cell set includes the second cell, and it is determined that the second cell will be used for L1 measurement;

[0116] If the AI ​​capabilities of all candidate cells corresponding to the measurement resource configuration do not meet the AI ​​requirements of the terminal, it is determined that L1 measurement will not be performed for the measurement resources.

[0117] The measurement resource configuration includes at least one candidate cell, which is a second cell, and it is determined that the second cell will be subjected to L1 measurement; wherein

[0118] The AI ​​capabilities of the second cell meet the AI ​​requirements of the terminal.

[0119] In conjunction with some embodiments of the first aspect, in some embodiments, determining whether to report the target under test based on the AI ​​requirements of the terminal and the AI ​​capabilities includes:

[0120] If the AI ​​capabilities of the neighboring cells corresponding to the measurement object do not meet the AI ​​requirements of the terminal, the measurement results of the neighboring cells will not be reported.

[0121] In conjunction with some embodiments of the first aspect, in some embodiments, determining whether to report the target under test based on the AI ​​requirements of the terminal and the AI ​​capabilities includes:

[0122] The L3 reporting is triggered by a triggering event. The AI ​​capabilities of the neighboring cells corresponding to the measurement object meet the AI ​​requirements of the terminal. The measurement results of the neighboring cells meet the triggering event. The neighboring cells are added to the triggering cell list. The neighboring cells in the triggering cell list are the cells that need to report measurement results.

[0123] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0124] Remove neighboring cells that meet the first condition from the triggering cell list; the first condition includes at least one of the following: the AI ​​capability does not meet the AI ​​requirement, or the measurement result does not meet the triggering event.

[0125] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0126] If a neighboring cell in the trigger cell list is removed, and the terminal is configured with a leave reporting instruction, a measurement report is sent based on the measurement results of the neighboring cells in the trigger cell list.

[0127] In conjunction with some embodiments of the first aspect, in some embodiments, determining whether to report the target under test based on the AI ​​requirements of the terminal and the AI ​​capabilities includes:

[0128] The AI ​​capabilities of the candidate cell do not meet the AI ​​requirements of the terminal, so the measurement results of the candidate cell are not reported.

[0129] In conjunction with some embodiments of the first aspect, in some embodiments, determining whether to report the target under test based on the AI ​​requirements of the terminal and the AI ​​capabilities includes at least one of the following:

[0130] The L1 reporting is triggered by a triggering event. The AI ​​capabilities of the candidate cell meet the AI ​​requirements of the terminal. The measurement results of the candidate cell meet the triggering event, and a measurement report is sent.

[0131] The L1 reporting is triggered by a triggering event. If the AI ​​capability of the candidate cell does not meet the AI ​​requirements of the terminal, or if the measurement result of the candidate cell does not meet the triggering event, no measurement report will be sent.

[0132] In conjunction with some embodiments of the first aspect, in some embodiments, the measurement report is carried by at least one of a Radio Resource Control (RRC) message, a Media Access Control (MAC) CE message, and an Uplink Control Information (UCI) message.

[0133] In conjunction with some embodiments of the first aspect, in some embodiments, the measurement report includes measurement results of the target under test whose AI capabilities meet the AI ​​requirements;

[0134] The measurement report does not include measurement results for targets whose AI capabilities do not meet the AI ​​requirements.

[0135] The above embodiments illustrate how the terminal determines whether to measure and report the target under test based on its AI capabilities and AI requirements. This allows the terminal to successfully determine which targets under test need to be measured and reported, and which do not. This avoids unnecessary measurement and reporting by the terminal, reduces unnecessary steps, improves efficiency, and saves resources and reporting signaling overhead.

[0136] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0137] The terminal receives third information, which is used to instruct the terminal to report a first reason, the first reason being the reason why the terminal does not report the measurement results of the third cell, the third cell including: the cell corresponding to the target under test that has not reported the measurement results.

[0138] In conjunction with some embodiments of the first aspect, in some embodiments, the third information is included in the measurement object configuration and / or reporting configuration of the second configuration information.

[0139] In conjunction with some embodiments of the first aspect, in some embodiments, the third information is included in the third configuration information, and / or the third information is included in the reporting configuration of the third configuration information.

[0140] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes:

[0141] Send a fourth message and / or the cell identifier of the third cell to the network device; the fourth message includes the first reason, or the fourth message indicates the first reason; the first reason includes: the AI ​​capability of the third cell does not meet the AI ​​requirements.

[0142] In conjunction with some embodiments of the first aspect, in some embodiments, the L1 reporting or L3 reporting is triggered by a triggering event, and the third cell satisfies at least one of the following: the AI ​​capability does not meet the AI ​​requirements, or the measurement result satisfies the triggering event; or

[0143] The L1 or L3 reporting is configured as any one of periodic reporting, semi-static reporting, or one-time triggered reporting, and the third cell satisfies at least one of the following: the AI ​​capability does not meet the AI ​​requirements, or the measurement result can be measured.

[0144] In the above embodiments, the terminal can send the reason why it does not report the measurement results of the third cell to the network device. When the network device knows the reason, it can adaptively schedule the resources of the third cell so that the third cell can meet the terminal's measurement reporting conditions. This avoids the situation where "the network device does not know the reason why the terminal does not report the measurement results of the third cell and therefore does not adaptively schedule the third cell, resulting in the third cell always failing to meet the terminal's measurement reporting conditions, causing no terminal access to the third cell and wasting the resources of the third cell".

[0145] In conjunction with some embodiments of the first aspect, in some embodiments, the AI ​​capabilities of neighboring cells or candidate cells do not meet the AI ​​requirements, including at least one of the following:

[0146] The terminal has AI requirements, but the neighboring or candidate cells do not support AI functions.

[0147] The terminal has a need for a first AI service, but the neighboring cell or candidate cell does not support the first AI service.

[0148] The terminal has a need for the first AI service resource, but the neighboring cell or candidate cell does not support providing the first AI service resource to the terminal.

[0149] The terminal has a need for a first AI service, but the neighboring cell or candidate cell does not support providing the first AI service to the terminal.

[0150] In the above embodiments, it is explained how the terminal determines that the AI ​​capabilities of neighboring cells or candidate cells do not meet the AI ​​requirements. This allows the terminal to successfully identify neighboring cells or candidate cells that do not need to be measured, thus avoiding unnecessary measurement and reporting by the terminal, reducing unnecessary steps, improving efficiency, and saving resources and reporting signaling overhead.

[0151] In conjunction with some embodiments of the first aspect, in some embodiments, the method further includes at least one of the following:

[0152] The AI ​​requirements are determined based on the instructions from the terminal application layer.

[0153] The AI ​​requirement is determined based on the indication from the terminal non-access stratum (NAS) layer.

[0154] The AI ​​requirements are determined based on instructions from the NAS layer of the network device.

[0155] The AI ​​requirements are determined based on instructions from the network device application (APP) layer.

[0156] The terminal autonomously determines the AI ​​requirements;

[0157] The AI ​​requirements are determined based on the agreement.

[0158] The AI ​​requirements are determined based on the capabilities of the terminal itself.

[0159] The above embodiments illustrate how the terminal determines its AI requirements so that it can successfully identify them. This allows the terminal to subsequently determine which targets need to be measured and reported, and which do not, based on these AI requirements. This avoids unnecessary measurement and reporting, reduces unnecessary steps, improves efficiency, and saves resources and reporting signaling overhead.

[0160] Secondly, embodiments of this disclosure provide a measurement reporting method, executed by a network device, the method comprising:

[0161] Send first configuration information, which is used to configure the terminal to perform measurement and / or measurement reporting;

[0162] Send first information, which is used to indicate the artificial intelligence (AI) capability corresponding to at least one target to be tested; wherein the target to be tested is configured by the first configuration information.

[0163] In conjunction with some embodiments of the second aspect, in some embodiments, the first configuration information includes at least one of the following:

[0164] The second configuration information is used to configure layer 3 (L3) measurement and / or L3 reporting.

[0165] The third configuration information is used to configure layer 1 (L1) measurement and / or L1 reporting.

[0166] In conjunction with some embodiments of the second aspect, in some embodiments, the second configuration information includes at least one of the following:

[0167] At least one measurement object configuration, the measurement object configuration being used to configure a measurement object, the measurement object corresponding to one or more neighboring cells;

[0168] Measurement configuration corresponding to the object being measured;

[0169] The measurement identifier corresponding to the measurement object;

[0170] The reporting configuration corresponding to the measurement object.

[0171] In conjunction with some embodiments of the second aspect, in some embodiments, the third configuration information includes at least one of the following:

[0172] Measurement resource configuration, wherein the measurement resource configuration is used to configure a reference signal to be measured, the reference signal to be measured corresponding to one or more candidate cells;

[0173] Report configuration;

[0174] At least one candidate configuration, which is used to configure one or more candidate cells.

[0175] In conjunction with some embodiments of the second aspect, in some embodiments, the target to be tested includes at least one of the following:

[0176] The object being measured;

[0177] The neighboring cells corresponding to the measurement object;

[0178] The neighboring cell set corresponding to the measurement object;

[0179] Candidate cells corresponding to the reference signal to be measured;

[0180] The candidate cell set corresponding to the reference signal to be measured.

[0181] In conjunction with some embodiments of the second aspect, in some embodiments, the AI ​​capability includes at least one of the following:

[0182] Does it support AI features?

[0183] Does it support AI services?

[0184] Does the terminal support providing AI service resources?

[0185] Does it support providing AI business services to the terminal?

[0186] In conjunction with some embodiments of the second aspect, in some embodiments, the first information is used to indicate the AI ​​capability corresponding to at least one of the following:

[0187] Using the measurement object as the granularity, it indicates the AI ​​capabilities of one or more neighboring cells corresponding to the measurement object;

[0188] Using candidate configurations as the granularity, the AI ​​capabilities of one or more candidate cells corresponding to the candidate configurations are indicated;

[0189] Using a first cell set as the granularity, it indicates the AI ​​capabilities of one or more first cell sets. The first cell set includes one or more first cells, and different first cells in the first cell set correspond to the same node. The first cell includes: neighboring cells corresponding to the measurement object, and / or, candidate cells corresponding to the reference signal to be measured.

[0190] Using the first cell as the granularity, the AI ​​capabilities of each of the first cells are indicated.

[0191] In conjunction with some embodiments of the second aspect, in some embodiments, the measurement object configuration of the second configuration information includes the first information, which is used to indicate the AI ​​capabilities of one or more neighboring cells corresponding to the measurement object; or

[0192] The second configuration information includes one or more of the first information, with different first information associated with different neighboring cells corresponding to the measurement object. The first information is used to indicate the AI ​​capabilities of the neighboring cells; or

[0193] The second configuration information includes one or more of the first information, and different first information is associated with different neighbor cell sets corresponding to the measurement object. The first information is used to indicate the AI ​​capabilities of the cells in the neighbor cell set, and the neighbor cell set includes at least one neighbor cell.

[0194] In conjunction with some embodiments of the second aspect, in some embodiments, the third configuration information includes one or more of the first information, wherein different first information is associated with different candidate configurations in the third configuration information, and the first information is used to indicate the AI ​​capability of the candidate cell corresponding to the candidate configuration; or

[0195] The third configuration information includes one or more of the first information, the first information being associated with a set of candidate configurations in the third configuration information, and the first information being used to indicate the AI ​​capabilities of the candidate cells corresponding to the set of candidate configurations; or

[0196] The candidate configuration of the third configuration information includes the first information, which is used to indicate the AI ​​capability of the candidate cell corresponding to the candidate configuration; or

[0197] The measurement resource configuration of the third configuration information includes one of the first pieces of information, which is used to indicate the AI ​​capabilities of candidate cells corresponding to one or more candidate configurations; or

[0198] The measurement resource configuration of the third configuration information includes one or more of the first information, and different first information is associated with different candidate configurations in the third configuration information. The first information is used to indicate the AI ​​capability of the candidate cell corresponding to the candidate configuration; or

[0199] The measurement resource configuration of the third configuration information includes one or more of the first information, the first information being associated with a set of candidate configurations in the third configuration information, and the first information being used to indicate the AI ​​capabilities of the candidate cells corresponding to the set of candidate configurations.

[0200] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0201] Send a second message, which indicates whether the terminal can perform measurement and reporting on demand based on the AI ​​requirements.

[0202] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0203] Send a third message, the third message being used to instruct the terminal to report a first reason, the first reason being the reason why the terminal does not report the measurement results of the third cell, the third cell including: the cell corresponding to the target to be measured that has not reported the measurement results.

[0204] In conjunction with some embodiments of the second aspect, in some embodiments, the second information and the third information are included in the measurement object configuration and / or reporting configuration of the second configuration information.

[0205] In conjunction with some embodiments of the second aspect, in some embodiments, the second information and the third information are included in the third configuration information, and / or the second information is included in the reporting configuration of the third configuration information.

[0206] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0207] The system receives a measurement report, which includes measurement results for targets whose AI capabilities meet the AI ​​requirements of the terminal; the measurement report does not include measurement results for targets whose AI capabilities do not meet the AI ​​requirements of the terminal.

[0208] In conjunction with some embodiments of the second aspect, in some embodiments, the measurement report is carried by at least one of a Radio Resource Control (RRC) message, a Media Access Control (MAC) CE message, and an Uplink Control Information (UCI) message.

[0209] In conjunction with some embodiments of the second aspect, in some embodiments, the method further includes:

[0210] Receive fourth information and / or the cell identifier of the third cell; the fourth information includes the first reason, or the fourth information indicates the first reason; the first reason includes: the AI ​​capability of the third cell does not meet the AI ​​requirements.

[0211] In conjunction with some embodiments of the second aspect, in some embodiments, the L1 reporting or L3 reporting is triggered by a triggering event, and the third cell satisfies at least one of the following: the AI ​​capability does not meet the AI ​​requirements, or the measurement result satisfies the triggering event; or

[0212] The L1 or L3 reporting is configured as any one of periodic reporting, semi-static reporting, or one-time triggered reporting, and the third cell satisfies at least one of the following: the AI ​​capability does not meet the AI ​​requirements, or the measurement result can be measured.

[0213] Thirdly, embodiments of this disclosure propose a measurement reporting method for a communication system, the communication system including a terminal and network equipment, the method comprising:

[0214] The network device sends first configuration information, which is used to configure the terminal to perform measurement and / or measurement reporting.

[0215] The network device sends first information, which is used to indicate the artificial intelligence (AI) capability corresponding to at least one target to be tested; wherein the target to be tested is configured by the first configuration information.

[0216] The terminal receives the first configuration information;

[0217] The terminal receives the first information;

[0218] The terminal determines whether to measure and report the target under test based on its AI requirements and AI capabilities.

[0219] Fourthly, embodiments of this disclosure provide a terminal, characterized in that it includes:

[0220] The transceiver module is used to receive first configuration information, which is used to configure the terminal to perform measurement and / or measurement reporting.

[0221] The transceiver module is further configured to receive first information, which indicates the artificial intelligence (AI) capability corresponding to at least one target to be tested; wherein the target to be tested is configured by the first configuration information.

[0222] The processing module is used to determine whether to measure and report the target under test based on the AI ​​requirements and AI capabilities of the terminal.

[0223] In conjunction with some embodiments of the fourth aspect, in some embodiments, the first configuration information includes at least one of the following:

[0224] The second configuration information is used to configure layer 3 (L3) measurement and / or L3 reporting.

[0225] The third configuration information is used to configure layer 1 (L1) measurement and / or L1 reporting.

[0226] In conjunction with some embodiments of the fourth aspect, in some embodiments, the second configuration information includes at least one of the following:

[0227] At least one measurement object configuration, the measurement object configuration being used to configure a measurement object, the measurement object corresponding to one or more neighboring cells;

[0228] Measurement configuration corresponding to the object being measured;

[0229] The measurement identifier corresponding to the measurement object;

[0230] The reporting configuration corresponding to the measurement object.

[0231] In conjunction with some embodiments of the fourth aspect, in some embodiments, the third configuration information includes at least one of the following:

[0232] Measurement resource configuration, wherein the measurement resource configuration is used to configure a reference signal to be measured, the reference signal to be measured corresponding to one or more candidate cells;

[0233] Report configuration;

[0234] At least one candidate configuration, which is used to configure one or more candidate cells.

[0235] In conjunction with some embodiments of the fourth aspect, in some embodiments, the target to be tested includes at least one of the following:

[0236] The object being measured;

[0237] The neighboring cells corresponding to the measurement object;

[0238] The neighboring cell set corresponding to the measurement object;

[0239] Candidate cells corresponding to the reference signal to be measured;

[0240] The candidate cell set corresponding to the reference signal to be measured.

[0241] In conjunction with some embodiments of the fourth aspect, in some embodiments, the AI ​​capability includes at least one of the following:

[0242] Does it support AI features?

[0243] Does it support AI services?

[0244] Does the terminal support providing AI service resources?

[0245] Does it support providing AI business services to the terminal?

[0246] In conjunction with some embodiments of the fourth aspect, in some embodiments, the first information is used to indicate the AI ​​capability corresponding to at least one of the following:

[0247] Using the measurement object as the granularity, it indicates the AI ​​capabilities of one or more neighboring cells corresponding to the measurement object;

[0248] Using candidate configurations as the granularity, the AI ​​capabilities of one or more candidate cells corresponding to the candidate configurations are indicated;

[0249] Using a first cell set as the granularity, it indicates the AI ​​capabilities of one or more first cell sets. The first cell set includes one or more first cells, and different first cells in the first cell set correspond to the same node. The first cell includes: neighboring cells corresponding to the measurement object, and / or, candidate cells corresponding to the reference signal to be measured.

[0250] Using the first cell as the granularity, the AI ​​capabilities of each of the first cells are indicated.

[0251] In conjunction with some embodiments of the fourth aspect, in some embodiments, the measurement object configuration of the second configuration information includes the first information, which is used to indicate the AI ​​capabilities of one or more neighboring cells corresponding to the measurement object; or

[0252] The second configuration information includes one or more of the first information, with different first information associated with different neighboring cells corresponding to the measurement object. The first information is used to indicate the AI ​​capabilities of the neighboring cells; or

[0253] The second configuration information includes one or more of the first information, and different first information is associated with different neighbor cell sets corresponding to the measurement object. The first information is used to indicate the AI ​​capabilities of the cells in the neighbor cell set, and the neighbor cell set includes at least one neighbor cell.

[0254] In conjunction with some embodiments of the fourth aspect, in some embodiments, the third configuration information includes one or more of the first information, wherein different first information is associated with different candidate configurations in the third configuration information, and the first information is used to indicate the AI ​​capability of the candidate cell corresponding to the candidate configuration; or

[0255] The third configuration information includes one or more of the first information, the first information being associated with a set of candidate configurations in the third configuration information, and the first information being used to indicate the AI ​​capabilities of the candidate cells corresponding to the set of candidate configurations; or

[0256] The candidate configuration of the third configuration information includes the first information, which is used to indicate the AI ​​capability of the candidate cell corresponding to the candidate configuration; or

[0257] The measurement resource configuration of the third configuration information includes one of the first pieces of information, which is used to indicate the AI ​​capabilities of candidate cells corresponding to one or more candidate configurations; or

[0258] The measurement resource configuration of the third configuration information includes one or more of the first information, and different first information is associated with different candidate configurations in the third configuration information. The first information is used to indicate the AI ​​capability of the candidate cell corresponding to the candidate configuration; or

[0259] The measurement resource configuration of the third configuration information includes one or more of the first information, the first information being associated with a set of candidate configurations in the third configuration information, and the first information being used to indicate the AI ​​capabilities of the candidate cells corresponding to the set of candidate configurations.

[0260] In conjunction with some embodiments of the fourth aspect, in some embodiments, the method further includes:

[0261] The terminal receives a second message, which indicates whether it can perform measurement and reporting on demand based on the AI ​​requirements.

[0262] In conjunction with some embodiments of the fourth aspect, in some embodiments, the second information is included in the measurement object configuration and / or reporting configuration of the second configuration information.

[0263] In conjunction with some embodiments of the fourth aspect, in some embodiments, the second information is included in the third configuration information, and / or the second information is included in the reporting configuration of the third configuration information.

[0264] In conjunction with some embodiments of the fourth aspect, in some embodiments, determining whether to measure and report the target under test based on the AI ​​requirements of the terminal and the AI ​​capabilities includes:

[0265] The second information indicates that the terminal can perform measurement and reporting on demand based on the AI ​​requirements, and determines whether to measure and report the target under test based on the terminal's AI requirements and the AI ​​capabilities.

[0266] In conjunction with some embodiments of the fourth aspect, in some embodiments, determining whether to measure and report the target under test based on the AI ​​requirements of the terminal and the AI ​​capabilities includes at least one of the following:

[0267] The AI ​​capability corresponding to the target under test does not meet the AI ​​requirements of the terminal, so it is determined that the target under test will not be measured or reported.

[0268] The AI ​​capability corresponding to the target to be tested meets the AI ​​requirements of the terminal, and it is determined that the target to be tested will be measured and reported.

[0269] In conjunction with some embodiments of the fourth aspect, in some embodiments, determining whether to measure the target based on the AI ​​requirements of the terminal and the AI ​​capabilities includes at least one of the following:

[0270] If the AI ​​capabilities of all neighboring cells corresponding to the measurement object do not meet the AI ​​requirements of the terminal, it is determined that L3 measurement will not be performed on the neighboring cells of the measurement object.

[0271] If at least one of the neighboring cells corresponding to the measurement object includes a second cell, it is determined that L3 measurement will be performed on the second cell.

[0272] If the AI ​​capabilities of the neighboring cell do not meet the AI ​​requirements of the terminal, it is determined that L3 measurement will not be performed on the neighboring cell.

[0273] The AI ​​capabilities of the neighboring cell meet the AI ​​requirements of the terminal, and it is determined that L3 measurement should be performed on the neighboring cell;

[0274] The AI ​​capabilities of all neighboring cells in the neighboring cell cluster do not meet the AI ​​requirements of the terminal, therefore it is determined that L3 measurement will not be performed on the neighboring cells in the neighboring cell cluster.

[0275] The neighboring cell cluster includes the second cell, and it is determined that L3 measurements will be performed on the second cell; among which...

[0276] The AI ​​capabilities of the second cell meet the AI ​​requirements of the terminal.

[0277] In conjunction with some embodiments of the fourth aspect, in some embodiments, determining whether to measure the target based on the AI ​​requirements of the terminal and the AI ​​capabilities includes at least one of the following:

[0278] The AI ​​capabilities of all candidate cells corresponding to the third configuration information do not meet the AI ​​requirements of the terminal, so it is determined that L1 measurement will not be performed.

[0279] The third configuration information includes at least one candidate cell, which includes a second cell, and it is determined that L1 measurement will be performed on the second cell.

[0280] If the AI ​​capabilities of the candidate cell do not meet the AI ​​requirements of the terminal, it is determined that L1 measurement will not be performed on the candidate cell.

[0281] If the AI ​​capabilities of the candidate cell meet the AI ​​requirements of the terminal, it is determined that L1 measurement will be performed on the candidate cell.

[0282] If the AI ​​capabilities of all candidate cells in the candidate cell set do not meet the AI ​​requirements of the terminal, it is determined that L1 measurement will not be performed on the candidate cells in the candidate cell set.

[0283] The candidate cell set includes the second cell, and it is determined that the second cell will be used for L1 measurement;

[0284] If the AI ​​capabilities of all candidate cells corresponding to the measurement resource configuration do not meet the AI ​​requirements of the terminal, it is determined that L1 measurement will not be performed for the measurement resources.

[0285] The measurement resource configuration includes at least one candidate cell, which is a second cell, and it is determined that the second cell will be subjected to L1 measurement; wherein

[0286] The AI ​​capabilities of the second cell meet the AI ​​requirements of the terminal.

[0287] In conjunction with some embodiments of the fourth aspect, in some embodiments, determining whether to report the target under test based on the AI ​​requirements of the terminal and the AI ​​capabilities includes:

[0288] If the AI ​​capabilities of the neighboring cells corresponding to the measurement object do not meet the AI ​​requirements of the terminal, the measurement results of the neighboring cells will not be reported.

[0289] In conjunction with some embodiments of the fourth aspect, in some embodiments, determining whether to report the target under test based on the AI ​​requirements of the terminal and the AI ​​capabilities includes:

[0290] The L3 reporting is triggered by a triggering event. The AI ​​capabilities of the neighboring cells corresponding to the measurement object meet the AI ​​requirements of the terminal. The measurement results of the neighboring cells meet the triggering event. The neighboring cells are added to the triggering cell list. The neighboring cells in the triggering cell list are the cells that need to report measurement results.

[0291] In conjunction with some embodiments of the fourth aspect, in some embodiments, the method further includes:

[0292] Remove neighboring cells that meet the first condition from the triggering cell list; the first condition includes at least one of the following: the AI ​​capability does not meet the AI ​​requirement, or the measurement result does not meet the triggering event.

[0293] In conjunction with some embodiments of the fourth aspect, in some embodiments, the method further includes:

[0294] If a neighboring cell in the trigger cell list is removed, and the terminal is configured with a leave reporting instruction, a measurement report is sent based on the measurement results of the neighboring cells in the trigger cell list.

[0295] In conjunction with some embodiments of the fourth aspect, in some embodiments, determining whether to report the target under test based on the AI ​​requirements of the terminal and the AI ​​capabilities includes:

[0296] The AI ​​capabilities of the candidate cell do not meet the AI ​​requirements of the terminal, so the measurement results of the candidate cell are not reported.

[0297] In conjunction with some embodiments of the fourth aspect, in some embodiments, determining whether to report the target under test based on the AI ​​requirements of the terminal and the AI ​​capabilities includes at least one of the following:

[0298] The L1 reporting is triggered by a triggering event. The AI ​​capabilities of the candidate cell meet the AI ​​requirements of the terminal. The measurement results of the candidate cell meet the triggering event, and a measurement report is sent.

[0299] The L1 reporting is triggered by a triggering event. If the AI ​​capability of the candidate cell does not meet the AI ​​requirements of the terminal, or if the measurement result of the candidate cell does not meet the triggering event, no measurement report will be sent.

[0300] In conjunction with some embodiments of the fourth aspect, in some embodiments, the measurement report is carried by at least one of a Radio Resource Control (RRC) message, a Media Access Control (MAC) CE message, and an Uplink Control Information (UCI) message.

[0301] In conjunction with some embodiments of the fourth aspect, in some embodiments, the measurement report includes measurement results of the target under test whose AI capabilities meet the AI ​​requirements;

[0302] The measurement report does not include measurement results for targets whose AI capabilities do not meet the AI ​​requirements.

[0303] In conjunction with some embodiments of the fourth aspect, in some embodiments, the method further includes:

[0304] The terminal receives third information, which is used to instruct the terminal to report a first reason, the first reason being the reason why the terminal does not report the measurement results of the third cell, the third cell including: the cell corresponding to the target under test that has not reported the measurement results.

[0305] In conjunction with some embodiments of the fourth aspect, in some embodiments, the third information is included in the measurement object configuration and / or reporting configuration of the second configuration information.

[0306] In conjunction with some embodiments of the fourth aspect, in some embodiments, the third information is included in the third configuration information, and / or the third information is included in the reporting configuration of the third configuration information.

[0307] In conjunction with some embodiments of the fourth aspect, in some embodiments, the method further includes:

[0308] Send a fourth message and / or the cell identifier of the third cell to the network device; the fourth message includes the first reason, or the fourth message indicates the first reason; the first reason includes: the AI ​​capability of the third cell does not meet the AI ​​requirements.

[0309] In conjunction with some embodiments of the fourth aspect, in some embodiments, the L1 reporting or L3 reporting is triggered by a triggering event, and the third cell satisfies at least one of the following: the AI ​​capability does not meet the AI ​​requirements, or the measurement result satisfies the triggering event; or

[0310] The L1 or L3 reporting is configured as any one of periodic reporting, semi-static reporting, or one-time triggered reporting, and the third cell satisfies at least one of the following: the AI ​​capability does not meet the AI ​​requirements, or the measurement result can be measured.

[0311] In conjunction with some embodiments of the fourth aspect, in some embodiments, the AI ​​capabilities of neighboring cells or candidate cells do not meet the AI ​​requirements, including at least one of the following:

[0312] The terminal has AI requirements, but the neighboring or candidate cells do not support AI functions.

[0313] The terminal has a need for a first AI service, but the neighboring cell or candidate cell does not support the first AI service.

[0314] The terminal has a need for the first AI service resource, but the neighboring cell or candidate cell does not support providing the first AI service resource to the terminal.

[0315] The terminal has a need for a first AI service, but the neighboring cell or candidate cell does not support providing the first AI service to the terminal.

[0316] In conjunction with some embodiments of the fourth aspect, in some embodiments, the method further includes at least one of the following:

[0317] The AI ​​requirements are determined based on the instructions from the terminal application layer.

[0318] The AI ​​requirement is determined based on the indication from the terminal non-access stratum (NAS) layer.

[0319] The AI ​​requirements are determined based on instructions from the NAS layer of the network device.

[0320] The AI ​​requirements are determined based on instructions from the network device application (APP) layer.

[0321] The terminal autonomously determines the AI ​​requirements;

[0322] The AI ​​requirements are determined based on the agreement.

[0323] The AI ​​requirements are determined based on the capabilities of the terminal itself.

[0324] Fifthly, embodiments of this disclosure provide a network device, characterized in that it includes:

[0325] The transceiver module is used to send first configuration information, which is used to configure the terminal to perform measurement and / or measurement reporting.

[0326] The transceiver module is further configured to send first information, which indicates the artificial intelligence (AI) capability corresponding to at least one target to be tested; wherein the target to be tested is configured by the first configuration information.

[0327] In conjunction with some embodiments of the fifth aspect, in some embodiments, the first configuration information includes at least one of the following:

[0328] The second configuration information is used to configure layer 3 (L3) measurement and / or L3 reporting.

[0329] The third configuration information is used to configure layer 1 (L1) measurement and / or L1 reporting.

[0330] In conjunction with some embodiments of the fifth aspect, in some embodiments, the second configuration information includes at least one of the following:

[0331] At least one measurement object configuration, the measurement object configuration being used to configure a measurement object, the measurement object corresponding to one or more neighboring cells;

[0332] Measurement configuration corresponding to the object being measured;

[0333] The measurement identifier corresponding to the measurement object;

[0334] The reporting configuration corresponding to the measurement object.

[0335] In conjunction with some embodiments of the fifth aspect, in some embodiments, the third configuration information includes at least one of the following:

[0336] Measurement resource configuration, wherein the measurement resource configuration is used to configure a reference signal to be measured, the reference signal to be measured corresponding to one or more candidate cells;

[0337] Report configuration;

[0338] At least one candidate configuration, which is used to configure one or more candidate cells.

[0339] In conjunction with some embodiments of the fifth aspect, in some embodiments, the target to be tested includes at least one of the following:

[0340] The object being measured;

[0341] The neighboring cells corresponding to the measurement object;

[0342] The neighboring cell set corresponding to the measurement object;

[0343] Candidate cells corresponding to the reference signal to be measured;

[0344] The candidate cell set corresponding to the reference signal to be measured.

[0345] In conjunction with some embodiments of the fifth aspect, in some embodiments, the AI ​​capability includes at least one of the following:

[0346] Does it support AI features?

[0347] Does it support AI services?

[0348] Does the terminal support providing AI service resources?

[0349] Does it support providing AI business services to the terminal?

[0350] In conjunction with some embodiments of the fifth aspect, in some embodiments, the first information is used to indicate the AI ​​capability corresponding to at least one of the following:

[0351] Using the measurement object as the granularity, it indicates the AI ​​capabilities of one or more neighboring cells corresponding to the measurement object;

[0352] Using candidate configurations as the granularity, the AI ​​capabilities of one or more candidate cells corresponding to the candidate configurations are indicated;

[0353] Using a first cell set as the granularity, it indicates the AI ​​capabilities of one or more first cell sets. The first cell set includes one or more first cells, and different first cells in the first cell set correspond to the same node. The first cell includes: neighboring cells corresponding to the measurement object, and / or, candidate cells corresponding to the reference signal to be measured.

[0354] Using the first cell as the granularity, the AI ​​capabilities of each of the first cells are indicated.

[0355] In conjunction with some embodiments of the fifth aspect, in some embodiments, the measurement object configuration of the second configuration information includes the first information, which is used to indicate the AI ​​capabilities of one or more neighboring cells corresponding to the measurement object; or

[0356] The second configuration information includes one or more of the first information, with different first information associated with different neighboring cells corresponding to the measurement object. The first information is used to indicate the AI ​​capabilities of the neighboring cells; or

[0357] The second configuration information includes one or more of the first information, and different first information is associated with different neighbor cell sets corresponding to the measurement object. The first information is used to indicate the AI ​​capabilities of the cells in the neighbor cell set, and the neighbor cell set includes at least one neighbor cell.

[0358] In conjunction with some embodiments of the fifth aspect, in some embodiments, the third configuration information includes one or more of the first information, wherein different first information is associated with different candidate configurations in the third configuration information, and the first information is used to indicate the AI ​​capability of the candidate cell corresponding to the candidate configuration; or

[0359] The third configuration information includes one or more of the first information, the first information being associated with a set of candidate configurations in the third configuration information, and the first information being used to indicate the AI ​​capabilities of the candidate cells corresponding to the set of candidate configurations; or

[0360] The candidate configuration of the third configuration information includes the first information, which is used to indicate the AI ​​capability of the candidate cell corresponding to the candidate configuration; or

[0361] The measurement resource configuration of the third configuration information includes one of the first pieces of information, which is used to indicate the AI ​​capabilities of candidate cells corresponding to one or more candidate configurations; or

[0362] The measurement resource configuration of the third configuration information includes one or more of the first information, and different first information is associated with different candidate configurations in the third configuration information. The first information is used to indicate the AI ​​capability of the candidate cell corresponding to the candidate configuration; or

[0363] The measurement resource configuration of the third configuration information includes one or more of the first information, the first information being associated with a set of candidate configurations in the third configuration information, and the first information being used to indicate the AI ​​capabilities of the candidate cells corresponding to the set of candidate configurations.

[0364] In conjunction with some embodiments of the fifth aspect, in some embodiments, the method further includes:

[0365] Send a second message, which indicates whether the terminal can perform measurement and reporting on demand based on the AI ​​requirements.

[0366] In conjunction with some embodiments of the fifth aspect, in some embodiments, the method further includes:

[0367] Send a third message, the third message being used to instruct the terminal to report a first reason, the first reason being the reason why the terminal does not report the measurement results of the third cell, the third cell including: the cell corresponding to the target to be measured that has not reported the measurement results.

[0368] In conjunction with some embodiments of the fifth aspect, in some embodiments, the second information and the third information are included in the measurement object configuration and / or reporting configuration of the second configuration information.

[0369] In conjunction with some embodiments of the fifth aspect, in some embodiments, the second information and the third information are included in the third configuration information, and / or the second information is included in the reporting configuration of the third configuration information.

[0370] In conjunction with some embodiments of the fifth aspect, in some embodiments, the method further includes:

[0371] The system receives a measurement report, which includes measurement results for targets whose AI capabilities meet the AI ​​requirements of the terminal; the measurement report does not include measurement results for targets whose AI capabilities do not meet the AI ​​requirements of the terminal.

[0372] In conjunction with some embodiments of the fifth aspect, in some embodiments, the measurement report is carried by at least one of a Radio Resource Control (RRC) message, a Media Access Control (MAC) CE message, and an Uplink Control Information (UCI) message.

[0373] In conjunction with some embodiments of the fifth aspect, in some embodiments, the method further includes:

[0374] Receive fourth information and / or the cell identifier of the third cell; the fourth information includes the first reason, or the fourth information indicates the first reason; the first reason includes: the AI ​​capability of the third cell does not meet the AI ​​requirements.

[0375] In conjunction with some embodiments of the fifth aspect, in some embodiments, the L1 reporting or L3 reporting is triggered by a triggering event, and the third cell satisfies at least one of the following: the AI ​​capability does not meet the AI ​​requirements, or the measurement result satisfies the triggering event; or

[0376] The L1 or L3 reporting is configured as any one of periodic reporting, semi-static reporting, or one-time triggered reporting, and the third cell satisfies at least one of the following: the AI ​​capability does not meet the AI ​​requirements, or the measurement result can be measured.

[0377] In a sixth aspect, embodiments of this disclosure provide a communication device comprising: one or more processors; one or more memories for storing instructions; wherein the processors are configured to invoke the instructions to cause the communication device to perform the methods described in the first aspect, the optional implementation of the first aspect, the second aspect, and the optional implementation of the second aspect.

[0378] In a seventh aspect, embodiments of this disclosure provide a communication system comprising: a terminal and a network device; wherein the terminal is configured to perform the method described in the first aspect and optional implementations thereof, and the network device is configured to perform the method described in the second aspect and optional implementations thereof.

[0379] Eighthly, embodiments of this disclosure provide a storage medium storing instructions that, when executed on a communication device, cause the communication device to perform the method described in the first aspect, an optional implementation of the first aspect, the second aspect, and an optional implementation of the second aspect.

[0380] In a ninth aspect, embodiments of this disclosure provide a program product including a computer program that, when executed by a processor, implements the methods described in the first aspect, the optional implementation of the first aspect, the second aspect, and the optional implementation of the second aspect.

[0381] In a tenth aspect, embodiments of this disclosure provide a computer program that, when run on a computer, causes the computer to perform the methods described in the first aspect, an optional implementation of the first aspect, the second aspect, and an optional implementation of the second aspect.

[0382] It is understood that the aforementioned terminals, network devices, communication devices, communication systems, storage media, program products, and computer programs are all used to execute the methods proposed in the embodiments of this disclosure. Therefore, the beneficial effects they can achieve can be referred to the beneficial effects in the corresponding methods, and will not be repeated here.

[0383] This disclosure provides a measurement reporting method, a communication device, a communication system, and a storage medium. In some embodiments, the terms "measurement reporting method" and "information processing method," "information sending method," and "information receiving method" can be used interchangeably; the terms "communication device" and "information processing device," "information sending device," and "information receiving device" can be used interchangeably; and the terms "information processing system," "communication system," "information sending system," and "information receiving system" can be used interchangeably.

[0384] This disclosure is not exhaustive, but merely illustrative of some embodiments, and is not intended to limit the scope of protection of this disclosure. Unless otherwise specified, each step in a particular 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 particular embodiment can also be implemented as an independent embodiment, and the order of the steps in a particular embodiment can be arbitrarily interchanged. Furthermore, the optional implementation methods in a particular embodiment can be arbitrarily combined; moreover, the embodiments can be arbitrarily combined, for example, some or all steps of different embodiments can be arbitrarily combined, and a particular embodiment can be arbitrarily combined with the optional implementation methods of other embodiments.

[0385] In each of the disclosed embodiments, unless otherwise specified or in case of logical conflict, the terminology and / or descriptions of the embodiments are consistent and can be referenced by each other. Technical features in different embodiments can be combined to form new embodiments based on their inherent logical relationships.

[0386] The terminology used in the embodiments of this disclosure is for the purpose of describing particular embodiments only and is not intended to limit the scope of this disclosure.

[0387] In this embodiment of the disclosure, unless otherwise stated, elements expressed in the singular form, such as "a," "an," "the," "the," "the," "the," "the," "the," "this," etc., can mean "one and only one," or "one or more," "at least one," etc. For example, when using articles such as "a," "an," "the," etc. in translation, the noun following the article can be understood as either a singular expression or a plural expression.

[0388] In the embodiments disclosed herein, "multiple" refers to two or more.

[0389] In some embodiments, the terms “at least one of”, “at least one of”, “at least one of”, “one or more”, “a plurality of”, “multiple”, etc., may be used interchangeably.

[0390] The descriptions in this disclosure, such as "at least one of A, B, C..." or "A and / or B and / or C...", include the case where any one of A, B, C... exists alone, as well as the case where any combination of any of A, B, C... exists alone. Each case can exist alone. For example, "at least one of A, B, C" includes the cases of A alone, B alone, C alone, A and B combination, A and C combination, B and C combination, and A and B and C combination. For example, A and / or B includes the cases of A alone, B alone, and A and B combination.

[0391] In some embodiments, the notation "in one case A, in another case B" or "in response to one case A, in response to another case B" may include the following technical solutions depending on the situation: A is executed regardless of B, i.e., A is executed in some embodiments; B is executed regardless of A, i.e., B is executed in some embodiments; A and B are selectively executed, i.e., A and B are selected for execution in some embodiments; A and B are both executed, i.e., A and B are executed in some embodiments. The same applies when there are more branches such as A, B, and C.

[0392] The prefixes "first," "second," etc., used in the embodiments of this disclosure are merely for distinguishing different descriptive objects and do not impose restrictions on the position, order, priority, quantity, or content of the descriptive objects. The description of the descriptive objects is found in the claims or the context of the embodiments, and the use of prefixes should not constitute unnecessary restrictions. For example, if the descriptive object is a "field," the ordinal numbers preceding "field" in "first field" and "second field" do not restrict the position or order of the "fields." "First" and "second" do not restrict whether the "fields" they modify are in the same message, nor do they restrict the order of "first field" and "second field." Similarly, if the descriptive object is a "level," the ordinal numbers preceding "level" in "first level" and "second level" do not restrict the priority between "levels." Furthermore, the number of descriptive objects is not limited by ordinal numbers and can be one or more. For example, in "first device," the number of "devices" can be one or more. Furthermore, the objects modified by different prefixes can be the same or different. For example, if the object being described is "device", then "first device" and "second device" can be the same device or different devices, and their types can be the same or different. Similarly, if the object being described is "information", then "first information" and "second information" can be the same information or different information, and their content can be the same or different.

[0393] In some embodiments, “including A,” “containing A,” “for indicating A,” and “carrying A” can be interpreted as directly carrying A or indirectly indicating A.

[0394] In some embodiments, the terms “in response to…”, “in response to determining…”, “in the case of…”, “when…”, “if…”, “if…”, etc., can be used interchangeably.

[0395] In some embodiments, the terms “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 lower than,” and “above” can be used interchangeably, as can the terms “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”.

[0396] In some embodiments, devices, etc., can be interpreted as physical or virtual, and their names are not limited to the names recorded in the embodiments. Terms such as “device”, “equipment”, “circuit”, “network element”, “node”, “function”, “unit”, “section”, “system”, “network”, “chip”, “chip system”, “entity”, and “subject” can be used interchangeably.

[0397] In some embodiments, "network" can be interpreted as devices included in a network (e.g., access network devices, core network devices, etc.).

[0398] In some embodiments, the terms "access network device (AN device)," "radio access network device (RAN device)," "base station (BS)," "radio base station," "fixed station," "node," "access point," "transmission point (TP)," "reception point (RP)," "transmission / reception point (TRP)," "panel," "antenna panel," "antenna array," "cell," "macro cell," "small cell," "femto cell," "pico cell," "sector," "cell group," "carrier," "component carrier," and "bandwidth part (BWP)" can be used interchangeably.

[0399] In some embodiments, the terms "terminal", "terminal device", "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", and "client" can be used interchangeably.

[0400] In some embodiments, access network devices, core network devices, or network devices can be replaced by terminals. For example, embodiments of this disclosure can also be applied to structures that replace communication between access network devices, core network devices, or network devices and terminals with communication between multiple terminals (e.g., also referred to as device-to-device (D2D), vehicle-to-everything (V2X), etc.). In this case, the structure can also be configured such that the terminal has all or part of the functions of the access network device. Furthermore, terms such as "uplink" and "downlink" can be replaced with terms corresponding to communication between terminals (e.g., "sidelink"). For example, uplink channel, downlink channel, etc., can be replaced with sidelink channel, uplink link, downlink link, etc., can be replaced with sidelink link.

[0401] In some embodiments, the terminal may be replaced by an access network device, a core network device, or a network device. In this case, the access network device, core network device, or network device may also be configured to have all or some of the functions of the terminal.

[0402] In some embodiments, the acquisition of data, information, etc., may comply with the laws and regulations of the country where the location is situated.

[0403] In some embodiments, data, information, etc., may be obtained with the user's consent.

[0404] Furthermore, each element, each row, or each column in the table of this disclosure can be implemented as an independent embodiment, and any combination of any element, any row, or any column can also be implemented as an independent embodiment.

[0405] The correspondences shown in the tables of this disclosure can be configured or predefined. The values ​​of the information in each table are merely examples and can be configured to other values; this disclosure is not limiting. When configuring the correspondences between information and parameters, it is not necessarily required to configure all the correspondences shown in each table. For example, the correspondences shown in some rows of the tables in this disclosure may not be configured. Furthermore, appropriate modifications and adjustments can be made based on the above tables, such as splitting, merging, etc. The names of the parameters shown in the headers of the above tables can also use other names that the communication device can understand, and the values ​​or representations of the parameters can also be other values ​​or representations that the communication device can understand. In the implementation of the above tables, other data structures can also be used, such as arrays, queues, containers, stacks, linear lists, pointers, linked lists, trees, graphs, structures, classes, heaps, hash tables, or hash tables, etc.

[0406] The predefined terms in this disclosure can be understood as defined, predefined, stored, pre-stored, pre-negotiated, pre-configured, solidified, or pre-burned.

[0407] Figure 1 is a schematic diagram of the architecture of a communication system according to an embodiment of the present disclosure. As shown in Figure 1, the communication system 100 may include a terminal and network devices. Optionally, the network devices may include at least one of access network devices and core network devices.

[0408] In some embodiments, the terminal includes, but is not limited to, at least one of the following: mobile phone, wearable device, Internet of Things (IoT) device, narrowband Internet of Things (NB-IoT) device, car with communication capabilities, smart car, tablet computer, computer with wireless transceiver capabilities, virtual reality (VR) terminal device, augmented reality (AR) terminal device, wireless terminal device in industrial control, wireless terminal device in self-driving, wireless terminal device in remote medical surgery, wireless terminal device in smart grid, wireless terminal device in transportation safety, wireless terminal device in smart city, and wireless terminal device in smart home.

[0409] In some embodiments, the access network device is, for example, a node or device that connects a terminal to a wireless network. The access network device may include, but is not limited to, at least one of the following in a 5G communication system: evolved Node B (eNB), next-generation eNB (ng-eNB), next-generation Node B (gNB), node B (NB), home node B (HNB), home evolved node B (HeNB), wireless backhaul device, radio network controller (RNC), base station controller (BSC), base transceiver station (BTS), base band unit (BBU), mobile switching center, base station in a 6G communication system, open RAN, cloud RAN, base station in other communication systems, and access node in a wireless fidelity (WiFi) system.

[0410] In some embodiments, the technical solutions of this disclosure can be applied to the Open RAN architecture. In this case, the interfaces between or within access network devices involved in the embodiments of this disclosure can be transformed into internal interfaces of Open RAN. The processes and information interactions between these internal interfaces can be implemented by software or programs.

[0411] In some embodiments, the access network device may be composed of a central unit (CU) and a distributed unit (DU). The CU may also be called a control unit. The CU-DU structure can separate the protocol layer of the access network device. Some of the protocol layer functions are centrally controlled by the CU, while the remaining part or all of the protocol layer functions are distributed in the DU and centrally controlled by the CU. However, this is not the only possibility.

[0412] In some embodiments, the core network device may be a single device comprising one or more network elements, or multiple devices or a group of devices, each comprising all or part of one or more network elements. Network elements may be virtual or physical. The core network may include, for example, at least one of an Evolved Packet Core (EPC), a 5G Core Network (5GCN), and a Next Generation Core (NGC). Alternatively, the core network device may also be a location management function network element. Exemplarily, the location management function network element includes a location server, which may be implemented as any of the following: a Location Management Function (LMF), an Enhanced Serving Mobile Location Centre (E-SMLC), a Secure User Plane Location (SUPL), and a Secure User Plane Location Platform (SUPLLP).

[0413] It is understood that the communication system described in this disclosure is for the purpose of more clearly illustrating the technical solutions of this disclosure, and does not constitute a limitation on the technical solutions proposed in this disclosure. As those skilled in the art will know, with the evolution of system architecture and the emergence of new business scenarios, the technical solutions proposed in this disclosure are also applicable to similar technical problems.

[0414] The following embodiments of this disclosure can be applied to the communication system 100 shown in FIG1, or to some of the main bodies, but are not limited thereto. The main bodies shown in FIG1 are illustrative. The communication system may include all or some of the main bodies in FIG1, or may include other main bodies outside of FIG1. ​​The number and form of each main body are arbitrary. The connection relationship between the main bodies is illustrative. The main bodies may not be connected or may be connected. The connection can be in any way, it can be a direct connection or an indirect connection, it can be a wired connection or a wireless connection.

[0415] The embodiments disclosed herein 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), CDMA2000, Ultra Mobile Broadband (UMB), IEEE 802.11 (Wi-Fi), IEEE 802.16 (WiMAX), and IEEE 802.20, Ultra-Wideband (UWB), Bluetooth (a 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, systems utilizing other measurement and reporting methods, and next-generation systems built upon them, etc. Furthermore, multiple systems can be combined (e.g., a combination of LTE or LTE-A with 5G).

[0416] Figure 2 is an interactive schematic diagram of a measurement reporting method according to an embodiment of the present disclosure. As shown in Figure 2, this disclosure relates to a measurement reporting method for a communication system 100, the method comprising:

[0417] Step 2101: The network device sends the first configuration information to the terminal.

[0418] Optionally, the first configuration information can be used to configure the terminal to perform measurements and / or report measurements.

[0419] Optionally, in some embodiments, the first configuration information may include second configuration information and / or third configuration information. In some embodiments, the second configuration information may be used to configure Layer 3 (L3) measurement and / or L3 reporting; the third configuration information may be used to configure Layer 1 (L3) measurement and / or L1 reporting.

[0420] Optionally, in some embodiments, the second configuration information described above may include at least one of the following:

[0421] At least one measurement object (MeasObject) configuration;

[0422] The measurement configuration (MeasConfig) corresponding to the measurement object;

[0423] The measurement identifier (MeasId) corresponding to the measurement object;

[0424] The reporting configuration (ReportConfig) corresponding to the measurement object.

[0425] Optionally, the above-described measurement object configuration can be used to configure a measurement object, which may correspond to one or more neighboring cells. For example, the measurement object configuration may include an allowed cell list, which includes one or more neighboring cells.

[0426] Optionally, the above measurement configuration can be used to configure the terminal to measure the object being measured. For example, the measurement configuration can be used to configure the measurement cycle, measurement content, etc.

[0427] Optionally, the above-mentioned measurement markings can be used to identify measurement objects, and the measurement markings corresponding to different measurement objects can be the same or different.

[0428] Optionally, the reporting configuration in the second configuration information above can be used to configure the terminal to report L3 measurement results. For example, the reporting configuration can be used to configure the reporting period, reporting content, etc.

[0429] Optionally, in some embodiments, the third configuration information described above may include at least one of the following:

[0430] Measurement resource configuration (ResourceConfig);

[0431] Report configuration (ReportConfig);

[0432] At least one candidate configuration (CandidateConfig);

[0433] Optionally, the above-described measurement resource configuration can be used to configure a reference signal under test, which may correspond to one or more candidate cells; optionally, the reference signal under test may include, for example, a channel-state information reference signal (CSI-RS).

[0434] Optionally, the reporting configuration in the third configuration information above can be used to configure the terminal to report L1 measurement results. For example, the reporting configuration can be used to configure the reporting period, reporting content, etc.

[0435] Optionally, the aforementioned "candidate configuration" can be used to configure candidate cells. For example, the candidate configuration may include the access configuration, communication configuration, etc., of the candidate cell. Optionally, the terminal can access the candidate cell based on the candidate configuration corresponding to the candidate cell. Optionally, in some embodiments, different candidate configurations may each correspond to a candidate configuration identifier (CandidateId).

[0436] In some embodiments, the network device may send first configuration information to the terminal via any one or more of the following: physical layer information, medium access control control element (MACCE), radio resource control (RRC) messages, and non-access (NAS) layer messages.

[0437] In some embodiments, the network device may send the first configuration information via any one or more of unicast, multicast, and broadcast messages.

[0438] For example, if the terminal receives the first configuration information carried in both unicast and broadcast messages from the network side, the terminal uses the first configuration information carried in the unicast message.

[0439] In some embodiments, the candidate cell may also be referred to as a non-serving cell, a neighboring cell, a target cell, a candidate target cell, a mobility candidate cell, the cell corresponding to the candidate configuration, etc.

[0440] In some embodiments, the candidate node may also be referred to as a non-service node, a neighboring node, a target node, a candidate target node, a mobility candidate node, a node corresponding to a candidate configuration, etc.

[0441] Step 2102: The network device sends the first information to the terminal.

[0442] Optionally, the first information can be used to indicate the AI ​​capability corresponding to at least one target under test; optionally, the target under test can be configured by the aforementioned first configuration information. In some embodiments, the target under test may include at least one of the following:

[0443] The object being measured;

[0444] The neighboring cells corresponding to the measurement object;

[0445] The neighboring cell set corresponding to the measurement object;

[0446] Candidate cells corresponding to the reference signal to be measured;

[0447] The candidate cell set corresponding to the reference signal to be measured.

[0448] Optionally, the aforementioned set of neighboring cells may include one or more neighboring cells. The aforementioned set of candidate cells may include one or more candidate cells.

[0449] Optionally, the aforementioned AI capabilities may include at least one of the following:

[0450] Does it support AI features?

[0451] Does it support AI services?

[0452] Does it support providing AI business resources to the terminal?

[0453] Does it support providing AI business services to terminals?

[0454] Optionally, the aforementioned AI function may refer to the AI ​​function corresponding to the AI ​​model. Different AI models may correspond to different AI functions. The AI ​​function may include at least one of the following: beam management, measurement prediction, RLF prediction, HOF prediction, beam association, and CSI compression.

[0455] Optionally, the aforementioned AI services may include at least one of the following: measurement and prediction, AI localization, AIasS (e.g., AI question answering), AI training services, AI inference services, AI verification services, model monitoring services, data management services, data collection services, and data storage services.

[0456] Optionally, the aforementioned AI business resources may include at least one of the following: computing resources, read / write resources, storage resources, algorithm resources, AI model-related resources, AI model inference-related resources, AI training-related resources, AI verification-related resources, and data distribution resources.

[0457] Optionally, the aforementioned AI business services may include at least one of the following: AI training service, AI inference service, AI verification service, model monitoring service, data management service, data collection service, data storage service, AI-based beam management, AI-based measurement prediction, AI-based radio link failure (RLF) prediction, AI-based handover failure (HOF) prediction, AI-based beam association, and AI-based channel-state information (CSI) compression.

[0458] Alternatively, "AL" can be replaced with "Machine Learning (ML)," meaning that the AI ​​capabilities mentioned above can also be called ML capabilities, and the AI ​​services mentioned above can also be called ML services. Of course, there may be other alternative names, and this disclosure does not specifically limit them.

[0459] Optionally, in some embodiments, the first information mentioned above may be at the granularity of the measurement object, indicating the AI ​​capabilities of one or more neighboring cells corresponding to the measurement object.

[0460] Optionally, in some embodiments, the first information mentioned above may be at the granularity of candidate configuration, indicating the AI ​​capabilities of candidate cells corresponding to one or more candidate configurations.

[0461] Optionally, in some embodiments, the aforementioned first information may be at the granularity of a first cell set, indicating the AI ​​capabilities of one or more first cell sets. A first cell set may include one or more first cells, and different first cells within the first cell set correspond to the same node. Optionally, the first cell may include: neighboring cells corresponding to the measurement object, and / or candidate cells corresponding to the reference signal to be measured.

[0462] Optionally, in some embodiments, the aforementioned first information may be at the level of a first cell, indicating the AI ​​capabilities of each first cell.

[0463] Optionally, in some embodiments, the first information described above may be included in the first configuration information, or the first information described above may not be included in the first configuration information.

[0464] In some embodiments, when the first information is included in the first configuration information, the first information can be included in the measurement object configuration of the second configuration information. The first information can be used to indicate the AI ​​capabilities of one or more neighboring cells corresponding to the measurement object. Alternatively, the second configuration information can include one or more pieces of first information, with different pieces of first information associated with different neighboring cells corresponding to the measurement object. For example, the first information can be associated with the cell identifiers of one or more neighboring cells, and the first information is used to indicate the AI ​​capabilities of the neighboring cells. Alternatively, the second configuration information can include one or more pieces of first information, with different pieces of first information associated with different sets of neighboring cells corresponding to the measurement object. For example, the first information can be associated with the cell identifiers of one or more neighboring cells in the set of neighboring cells, and the first information is used to indicate the AI ​​capabilities of the cells in the set of neighboring cells. The set of neighboring cells includes at least one neighboring cell.

[0465] In other embodiments, when the first information is included in the first configuration information, one or more pieces of first information may be included in the third configuration information. Different pieces of first information are associated with different candidate configurations in the third configuration information. For example, one piece of first information may be associated with a candidate configuration identifier of a candidate configuration, and the first information may be used to indicate the AI ​​capability of the candidate cell corresponding to the candidate configuration. Alternatively, one or more pieces of first information may be included in the third configuration information, and the first information is associated with a set of candidate configurations in the third configuration information. For example, one piece of first information may be associated with a candidate configuration identifier of a set of candidate configurations, and the first information may be used to indicate the AI ​​capability of the candidate cell corresponding to the set of candidate configurations. Alternatively, the candidate configurations in the third configuration information may include first information, and the first information may be used to indicate the AI ​​capability of the candidate cell corresponding to the candidate configuration. Alternatively, the measurement resource configuration of the third configuration information may include a first piece of information, which indicates the AI ​​capability of the candidate cell corresponding to one or more candidate configurations; or, the measurement resource configuration of the third configuration information may include one or more pieces of first information, with different pieces of first information associated with different candidate configurations in the third configuration information. For example, a piece of first information may be associated with a candidate configuration identifier of a candidate configuration, and the first information indicates the AI ​​capability of the candidate cell corresponding to the candidate configuration; or, the measurement resource configuration of the third configuration information may include one or more pieces of first information, which is associated with a set of candidate configurations in the third configuration information. For example, a piece of first information may be associated with a candidate configuration identifier of a set of candidate configurations, and the first information indicates the AI ​​capability of the candidate cell corresponding to the set of candidate configurations.

[0466] In some embodiments, the network device may send first information to the terminal via any one or more of physical layer information, MAC CE, RRC messages, and NAS layer messages.

[0467] In some embodiments, the network device may send the first information via any one or more of unicast, multicast, and broadcast messages.

[0468] For example, if the terminal simultaneously receives the first configuration information carried in both unicast and broadcast messages from the network side, the terminal uses the first information carried in the unicast message.

[0469] Step 2103: The network device sends the second information to the terminal.

[0470] Optionally, this second information can be used to indicate whether the terminal can perform measurements and reporting on demand based on AI requirements.

[0471] Optionally, the second information may be included in the first configuration information, or the second information may not be included in the first configuration information. In some embodiments, when the second information is included in the first configuration information, the second information may be included in the measurement object configuration and / or reporting configuration of the second configuration information. In other embodiments, the second information may be included in the third configuration information. In still other embodiments, the second information may be included in the reporting configuration of the third configuration information. Optionally, when the second information is included in the reporting configuration, each reporting configuration may include one piece of second information, which may be used to indicate whether the measurement corresponding to the reporting configuration can be performed on demand based on AI requirements.

[0472] In some embodiments, the network device may send second information to the terminal via any one or more of physical layer information, MAC CE, RRC messages, and NAS layer messages.

[0473] In some embodiments, the network device may send the second information via any one or more of unicast, multicast, and broadcast messages.

[0474] For example, if the terminal receives the first configuration information carried in both unicast and broadcast messages from the network side, the terminal uses the second information carried in the unicast message.

[0475] Step 2104: The network device sends third information to the terminal.

[0476] Optionally, the third information can be used to instruct the terminal to report a first reason, which can be the reason why the terminal does not report the measurement results of the third cell. The third cell can include the cell corresponding to the target under test that did not report the measurement results.

[0477] In some embodiments, the terminal may not necessarily measure and report all the objects under test configured on the network device. The terminal may actually only measure and report some of the objects under test configured on the network device. Therefore, the network device can instruct the terminal to report the first reason so that the network device can determine why the terminal does not report the measurement results of the third cell based on the first reason reported by the terminal. In this way, the network device can adaptively schedule resources for the third cell so that the third cell meets the terminal's measurement reporting conditions. This avoids the situation where "the network device does not know the reason why the terminal does not report the measurement results of the third cell and therefore does not adaptively schedule the third cell, resulting in the third cell always failing to meet the terminal's measurement reporting conditions, causing no terminal access to the third cell and wasting the resources of the third cell."

[0478] Optionally, the third information may be included in the first configuration information, or the third information may not be included in the first configuration information. In some embodiments, when the third information is included in the first configuration information, the third information may be included in the measurement object configuration and / or reporting configuration of the second configuration information. In other embodiments, the third information may be included in the third configuration information. In still other embodiments, the third information may be included in the reporting configuration of the third configuration information. Optionally, when the third information is included in the reporting configuration, each reporting configuration may include one piece of third information, which may be used to indicate that the reporting configuration needs to report a first reason.

[0479] In some embodiments, the network device may send third information to the terminal via any one or more of physical layer information, MAC CE, RRC messages, and NAS layer messages.

[0480] In some embodiments, network devices may send third information via unicast, multicast, or broadcast messages.

[0481] For example, if the terminal receives the first configuration information carried in both unicast and broadcast messages from the network side, the terminal uses the third information carried in the unicast message.

[0482] Step 2105: The terminal determines its AI requirements.

[0483] Optionally, in some embodiments, the terminal may determine AI requirements based on instructions from the terminal application layer;

[0484] Optionally, in some embodiments, the terminal may determine AI requirements based on instructions from the terminal non-access stratum (NAS).

[0485] Alternatively, in some embodiments, the terminal may determine AI requirements based on instructions from the NAS layer of the network device;

[0486] Optionally, in some embodiments, the terminal may determine AI requirements based on instructions from the network device application (APP) layer;

[0487] Alternatively, in some embodiments, the terminal can autonomously determine its AI needs.

[0488] Alternatively, in some embodiments, the terminal can determine AI requirements based on protocol agreements.

[0489] Alternatively, in some embodiments, the terminal can determine its AI needs based on its own capabilities.

[0490] Alternatively, in some embodiments, this disclosure does not limit the method by which the terminal determines AI needs.

[0491] Step 2106: The terminal determines whether to measure and report the target under test based on its AI requirements and AI capabilities.

[0492] Optionally, in some embodiments, the terminal may determine whether to measure and report the target under test based on its AI requirements and capabilities only when the second information indicates that the terminal can perform measurement and reporting on demand based on AI needs. Optionally, in other embodiments, when the second information indicates that the terminal cannot perform measurement and reporting on demand based on AI requirements, the terminal does not determine whether to measure and report the target under test based on its AI requirements and capabilities. In this case, the terminal may perform measurement of the target under test according to the measurement configuration and report of the target under test according to the reporting configuration.

[0493] Optionally, in some embodiments, when the terminal determines whether to measure and report the target under test based on the terminal's AI requirements and AI capabilities, it may be that if the AI ​​capabilities corresponding to the target under test do not meet the terminal's AI requirements, the terminal determines not to measure and report the target under test; and if the AI ​​capabilities corresponding to the target under test meet the terminal's AI requirements, the terminal determines to measure and report the target under test.

[0494] Optionally, in some embodiments, for L3 measurement, if the AI ​​capabilities of all neighboring cells corresponding to the measurement object do not meet the AI ​​requirements of the terminal, it is determined not to perform L3 measurement on the neighboring cells of the measurement object.

[0495] Optionally, in some embodiments, for L3 measurement, when at least one of the neighboring cells corresponding to the measurement object includes a second cell, it is determined that the second cell will be used for L3 measurement; optionally, the AI ​​capability of the second cell meets the AI ​​requirements of the terminal.

[0496] Optionally, in some embodiments, for L3 measurement, if the AI ​​capability of a neighboring cell does not meet the AI ​​requirements of the terminal, it is determined not to perform L3 measurement on the neighboring cell.

[0497] Optionally, in some embodiments, for L3 measurement, when the AI ​​capabilities of a neighboring cell meet the AI ​​requirements of the terminal, it is determined to perform L3 measurement on the neighboring cell.

[0498] Optionally, in some embodiments, for L3 measurement, when the AI ​​capabilities of all neighboring cells in the neighboring cell set do not meet the AI ​​requirements of the terminal, it is determined that L3 measurement will not be performed on the neighboring cells in the neighboring cell set.

[0499] Optionally, in some embodiments, for L3 measurement, when the neighboring cell cluster includes the second cell, it is determined that the second cell will be used for L3 measurement.

[0500] Optionally, in some embodiments, for L3 reporting, if the AI ​​capability of the neighboring cell corresponding to the measurement object does not meet the AI ​​requirements of the terminal, it is determined not to report the measurement results of the neighboring cell, that is, not to treat the neighboring cell as an Applicable Cell.

[0501] Optionally, in some embodiments, for L3 reporting, if L3 reporting is triggered by a triggering event, the AI ​​capabilities of the neighboring cells corresponding to the measurement object meet the AI ​​requirements of the terminal, and the measurement results of the neighboring cells meet the triggering event, then it is determined to add the neighboring cells to the triggering cell list. Optionally, the neighboring cells in the triggering cell list are the cells that need to report measurement results.

[0502] In some embodiments, when a neighboring cell is added to the triggering cell list, the terminal determines to report the measurement results of the neighboring cell in the triggering cell list to the network device.

[0503] In some embodiments, when the number of neighboring cells in the triggering cell list reaches a preset threshold, the terminal determines to report the measurement results of the neighboring cells in the triggering cell list to the network device.

[0504] Optionally, in some embodiments, after determining to add a neighboring cell to the triggering cell list, if a neighboring cell in the triggering cell list meets a first condition, the terminal will remove that neighboring cell from the triggering cell list. Optionally, the first condition may include at least one of the following: AI capabilities do not meet AI requirements, or measurement results do not meet the trigger event. Optionally, in some embodiments, when the terminal removes a neighboring cell from the triggering cell list, if the terminal is configured with a leave reporting instruction, the terminal determines to send a measurement report based on the measurement results of the neighboring cells in the triggering cell list, and the measurement report includes the measurement results of the neighboring cells in the triggering cell list.

[0505] Optionally, in some embodiments, for L1 measurement, if the AI ​​capabilities of all candidate cells corresponding to the third configuration information do not meet the AI ​​requirements of the terminal, it is determined not to perform L1 measurement.

[0506] Optionally, in some embodiments, for L1 measurement, when the second cell is included in at least one candidate cell corresponding to the third configuration information, it is determined that the second cell will be subjected to L1 measurement.

[0507] Optionally, in some embodiments, for L1 measurement, if the AI ​​capability of a candidate cell does not meet the AI ​​requirements of the terminal, it is determined not to perform L1 measurement on the candidate cell.

[0508] Optionally, in some embodiments, for L1 measurement, when the AI ​​capability of the candidate cell meets the AI ​​requirements of the terminal, it is determined to perform L1 measurement on the candidate cell.

[0509] Optionally, in some embodiments, for L1 measurement, when the AI ​​capabilities of all candidate cells in the candidate cell set do not meet the AI ​​requirements of the terminal, it is determined that L1 measurement will not be performed on the candidate cells in the candidate cell set.

[0510] Optionally, in some embodiments, for L1 measurement, when the candidate cell set includes a second cell, it is determined that the second cell will be used for L1 measurement;

[0511] Optionally, in some embodiments, for L1 measurement, when the AI ​​capabilities of all candidate cells corresponding to the measurement resource configuration do not meet the AI ​​requirements of the terminal, it is determined that L1 measurement will not be performed for the measurement resources.

[0512] Optionally, in some embodiments, for L1 measurement, when at least one candidate cell corresponding to the measurement resource configuration includes a second cell, it is determined that an L1 measurement will be performed on the second cell.

[0513] Optionally, in some embodiments, for L1 reporting, if the AI ​​capability of a candidate cell does not meet the AI ​​requirements of the terminal, it is determined not to report the measurement results of the candidate cell.

[0514] Optionally, in some embodiments, for L1 reporting, when L1 reporting is triggered by a triggering event, if the AI ​​capability of the candidate cell meets the AI ​​requirements of the terminal, and the measurement result of the candidate cell meets the triggering event, the terminal determines to report the measurement result of the candidate cell.

[0515] Optionally, in some embodiments, for L1 reporting, when L1 reporting is triggered by a triggering event, if the AI ​​capability of the candidate cell does not meet the AI ​​requirements of the terminal, or if the measurement result of the candidate cell does not meet the triggering event, the terminal determines not to report the measurement result of the candidate cell.

[0516] Optionally, in some embodiments, the phrase "the AI ​​capabilities of neighboring cells or candidate cells do not meet AI requirements" mentioned above may refer to at least one of the following:

[0517] The terminal has AI requirements, but neighboring or candidate cells do not support AI functions;

[0518] The terminal has a need for the first AI service, but neighboring or candidate cells do not support the first AI service;

[0519] The terminal has a need for primary AI service resources, but neighboring or candidate cells do not support providing primary AI service resources to the terminal.

[0520] The terminal has a need for the first AI service, but neighboring cells or candidate cells do not support providing the first AI service to the terminal.

[0521] For example, when a terminal needs network equipment to assist in AI training, but neighboring or candidate cells support AI functions but cannot provide the terminal with the resources and services for AI training, it is determined that the AI ​​capabilities of the neighboring or candidate cells do not meet the terminal's AI needs.

[0522] Step 2107: The terminal measures the target to be measured.

[0523] Optionally, the terminal may be used to measure the target to be measured as determined in step 2106 above.

[0524] Step 2108: The terminal sends a measurement report.

[0525] Optionally, the measurement report may include measurement results for targets whose AI capabilities meet AI requirements, and / or may exclude measurement results for targets whose AI capabilities do not meet AI requirements.

[0526] Optionally, the measurement report may be carried by at least one of the following: Radio Resource Control (RRC) message, Media Access Control-Control Element (MAC CE) message, and Uplink Control Information (UCI) message.

[0527] Step 2109: The terminal sends the fourth information and / or the cell identifier of the third cell to the network device.

[0528] Optionally, the third cell may include a cell where the terminal has not reported measurement results. In some embodiments, when L1 or L3 reporting is triggered by a triggering event, the third cell may include a cell that meets a second condition, which may include at least one of the following: AI capability does not meet AI requirements, or the measurement result meets the triggering event. In other embodiments, when L1 or L3 reporting is configured as periodic reporting, semi-static reporting, or one-time triggered reporting, the third cell may include a cell that meets a third condition, which may include at least one of the following: AI capability does not meet AI requirements, or measurement results can be measured.

[0529] Optionally, the fourth information mentioned above may include the first reason, or the fourth information may indicate the first reason. In some embodiments, the first reason may be the reason why the terminal does not report the measurement results of the third cell, and the first reason may, for example, include the fact that the AI ​​capability of the third cell does not meet the AI ​​requirements.

[0530] Optionally, in some embodiments, the terminal may send the fourth information and / or the cell identifier of the third cell to the network device only when the terminal determines that the first reason needs to be reported based on the third information. Optionally, in some embodiments, the fourth information and / or the cell identifier of the third cell may also be carried in the measurement report of step 2108 above.

[0531] In summary, in the above embodiments, the terminal receives first configuration information, which is used to configure the terminal to perform measurement and / or measurement reporting. Subsequently, the terminal also receives first information, which indicates the AI ​​capabilities corresponding to at least one target under test. The terminal can determine whether to measure and report the target under test based on its AI requirements and AI capabilities. Optionally, the terminal can measure and report targets under test whose AI capabilities meet its AI requirements, but not those whose AI capabilities do not meet its AI requirements. This ensures that the AI ​​capabilities of the targets under test reported by the terminal all meet its AI requirements. Therefore, when the network device subsequently schedules mobility operations (such as switching to the cell corresponding to the target under test) based on the measurement results reported by the terminal, it can ensure that the AI ​​capabilities of the cell accessed by the terminal after performing the mobility operation meet the terminal's AI requirements, ensuring the smooth execution of the terminal's AI services and guaranteeing user experience. Furthermore, in the above embodiments, the terminal can avoid measuring and reporting the target under test whose AI capabilities do not meet the AI ​​requirements. This avoids unnecessary measurements and reports by the terminal, reduces unnecessary steps, improves efficiency, and saves resources and reporting signaling overhead.

[0532] The measurement reporting method involved in the embodiments of this disclosure may include at least one of steps 2101 to 2109. For example, step 2101 may be implemented as an independent embodiment, step 2102 may be implemented as an independent embodiment, step 2103 may be implemented as an independent embodiment, and step 2101+S2102 may be implemented as an independent embodiment, but is not limited thereto.

[0533] In this implementation or embodiment, unless there is contradiction, each step can be independent, arbitrarily combined or exchanged in order, optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other implementations or other embodiments.

[0534] Figure 3 is an interactive schematic diagram of a measurement reporting method according to an embodiment of the present disclosure. As shown in Figure 3, the present disclosure relates to a measurement reporting method for a terminal, the method including:

[0535] Step 3101: Receive the first configuration information.

[0536] Step 3102: Receive the first information.

[0537] Step 3103: Based on the AI ​​requirements and AI capabilities of the terminal, determine whether to measure and report the target under test.

[0538] Optionally, the first configuration information is used to configure the terminal to perform measurement and / or measurement reporting;

[0539] Optionally, the first information is used to indicate the artificial intelligence (AI) capability corresponding to at least one target to be tested; wherein the target to be tested is configured by the first configuration information;

[0540] Optionally, the first configuration information includes at least one of the following:

[0541] The second configuration information is used to configure layer 3 (L3) measurement and / or L3 reporting.

[0542] The third configuration information is used to configure layer 1 (L1) measurement and / or L1 reporting.

[0543] Optionally, the second configuration information includes at least one of the following:

[0544] At least one measurement object configuration, the measurement object configuration being used to configure a measurement object, the measurement object corresponding to one or more neighboring cells;

[0545] Measurement configuration corresponding to the object being measured;

[0546] The measurement identifier corresponding to the measurement object;

[0547] The reporting configuration corresponding to the measurement object.

[0548] Optionally, the third configuration information includes at least one of the following:

[0549] Measurement resource configuration, wherein the measurement resource configuration is used to configure a reference signal to be measured, the reference signal to be measured corresponding to one or more candidate cells;

[0550] Report configuration;

[0551] At least one candidate configuration, which is used to configure one or more candidate cells.

[0552] Optionally, the target to be tested includes at least one of the following:

[0553] The object being measured;

[0554] The neighboring cells corresponding to the measurement object;

[0555] The neighboring cell set corresponding to the measurement object;

[0556] Candidate cells corresponding to the reference signal to be measured;

[0557] The candidate cell set corresponding to the reference signal to be measured.

[0558] Optionally, the AI ​​capabilities include at least one of the following:

[0559] Does it support AI features?

[0560] Does it support AI services?

[0561] Does the terminal support providing AI service resources?

[0562] Does it support providing AI business services to the terminal?

[0563] Optionally, the first information is used to indicate the AI ​​capability corresponding to at least one of the following:

[0564] Using the measurement object as the granularity, it indicates the AI ​​capabilities of one or more neighboring cells corresponding to the measurement object;

[0565] Using candidate configurations as the granularity, the AI ​​capabilities of one or more candidate cells corresponding to the candidate configurations are indicated;

[0566] Using a first cell set as the granularity, it indicates the AI ​​capabilities of one or more first cell sets. The first cell set includes one or more first cells, and different first cells in the first cell set correspond to the same node. The first cell includes: neighboring cells corresponding to the measurement object, and / or, candidate cells corresponding to the reference signal to be measured.

[0567] Using the first cell as the granularity, the AI ​​capabilities of each of the first cells are indicated.

[0568] Optionally, the measurement object configuration of the second configuration information includes the first information, which is used to indicate the AI ​​capabilities of one or more neighboring cells corresponding to the measurement object; or

[0569] The second configuration information includes one or more of the first information, with different first information associated with different neighboring cells corresponding to the measurement object. The first information is used to indicate the AI ​​capabilities of the neighboring cells; or

[0570] The second configuration information includes one or more of the first information, and different first information is associated with different neighbor cell sets corresponding to the measurement object. The first information is used to indicate the AI ​​capabilities of the cells in the neighbor cell set, and the neighbor cell set includes at least one neighbor cell.

[0571] Optionally, the third configuration information includes one or more of the first information, wherein different first information is associated with different candidate configurations in the third configuration information, and the first information is used to indicate the AI ​​capability of the candidate cell corresponding to the candidate configuration; or

[0572] The third configuration information includes one or more of the first information, the first information being associated with a set of candidate configurations in the third configuration information, and the first information being used to indicate the AI ​​capabilities of the candidate cells corresponding to the set of candidate configurations; or

[0573] The candidate configuration of the third configuration information includes the first information, which is used to indicate the AI ​​capability of the candidate cell corresponding to the candidate configuration; or

[0574] The measurement resource configuration of the third configuration information includes one of the first pieces of information, which is used to indicate the AI ​​capabilities of candidate cells corresponding to one or more candidate configurations; or

[0575] The measurement resource configuration of the third configuration information includes one or more of the first information, and different first information is associated with different candidate configurations in the third configuration information. The first information is used to indicate the AI ​​capability of the candidate cell corresponding to the candidate configuration; or

[0576] The measurement resource configuration of the third configuration information includes one or more of the first information, the first information being associated with a set of candidate configurations in the third configuration information, and the first information being used to indicate the AI ​​capabilities of the candidate cells corresponding to the set of candidate configurations.

[0577] Optionally, the method further includes:

[0578] The terminal receives a second message, which indicates whether it can perform measurement and reporting on demand based on the AI ​​requirements.

[0579] Optionally, the second information is included in the measurement object configuration and / or reporting configuration of the second configuration information.

[0580] Optionally, the second information is included in the third configuration information, and / or the second information is included in the reporting configuration of the third configuration information.

[0581] Optionally, determining whether to measure and report the target based on the AI ​​requirements and capabilities of the terminal includes:

[0582] The second information indicates that the terminal can perform measurement and reporting on demand based on the AI ​​requirements, and determines whether to measure and report the target under test based on the terminal's AI requirements and the AI ​​capabilities.

[0583] Optionally, determining whether to measure and report the target based on the AI ​​requirements and capabilities of the terminal includes at least one of the following:

[0584] The AI ​​capability corresponding to the target under test does not meet the AI ​​requirements of the terminal, so it is determined that the target under test will not be measured or reported.

[0585] The AI ​​capability corresponding to the target to be tested meets the AI ​​requirements of the terminal, and it is determined that the target to be tested will be measured and reported.

[0586] Optionally, determining whether to measure the target based on the AI ​​requirements and AI capabilities of the terminal includes at least one of the following:

[0587] If the AI ​​capabilities of all neighboring cells corresponding to the measurement object do not meet the AI ​​requirements of the terminal, it is determined that L3 measurement will not be performed on the neighboring cells of the measurement object.

[0588] If at least one of the neighboring cells corresponding to the measurement object includes a second cell, it is determined that L3 measurement will be performed on the second cell.

[0589] If the AI ​​capabilities of the neighboring cell do not meet the AI ​​requirements of the terminal, it is determined that L3 measurement will not be performed on the neighboring cell.

[0590] The AI ​​capabilities of the neighboring cell meet the AI ​​requirements of the terminal, and it is determined that L3 measurement should be performed on the neighboring cell;

[0591] The AI ​​capabilities of all neighboring cells in the neighboring cell cluster do not meet the AI ​​requirements of the terminal, therefore it is determined that L3 measurement will not be performed on the neighboring cells in the neighboring cell cluster.

[0592] The neighboring cell cluster includes the second cell, and it is determined that L3 measurements will be performed on the second cell; among which...

[0593] The AI ​​capabilities of the second cell meet the AI ​​requirements of the terminal.

[0594] Optionally, determining whether to measure the target based on the AI ​​requirements and AI capabilities of the terminal includes at least one of the following:

[0595] The AI ​​capabilities of all candidate cells corresponding to the third configuration information do not meet the AI ​​requirements of the terminal, so it is determined that L1 measurement will not be performed.

[0596] The third configuration information includes at least one candidate cell, which includes a second cell, and it is determined that L1 measurement will be performed on the second cell.

[0597] If the AI ​​capabilities of the candidate cell do not meet the AI ​​requirements of the terminal, it is determined that L1 measurement will not be performed on the candidate cell.

[0598] If the AI ​​capabilities of the candidate cell meet the AI ​​requirements of the terminal, it is determined that L1 measurement will be performed on the candidate cell.

[0599] If the AI ​​capabilities of all candidate cells in the candidate cell set do not meet the AI ​​requirements of the terminal, it is determined that L1 measurement will not be performed on the candidate cells in the candidate cell set.

[0600] The candidate cell set includes the second cell, and it is determined that the second cell will be used for L1 measurement;

[0601] If the AI ​​capabilities of all candidate cells corresponding to the measurement resource configuration do not meet the AI ​​requirements of the terminal, it is determined that L1 measurement will not be performed for the measurement resources.

[0602] The measurement resource configuration includes at least one candidate cell, which is a second cell, and it is determined that the second cell will be subjected to L1 measurement; wherein

[0603] The AI ​​capabilities of the second cell meet the AI ​​requirements of the terminal.

[0604] Optionally, determining whether to report the target under test based on the AI ​​requirements of the terminal and the AI ​​capabilities includes:

[0605] If the AI ​​capabilities of the neighboring cells corresponding to the measurement object do not meet the AI ​​requirements of the terminal, the measurement results of the neighboring cells will not be reported.

[0606] Optionally, determining whether to report the target under test based on the AI ​​requirements of the terminal and the AI ​​capabilities includes:

[0607] The L3 reporting is triggered by a triggering event. The AI ​​capabilities of the neighboring cells corresponding to the measurement object meet the AI ​​requirements of the terminal. The measurement results of the neighboring cells meet the triggering event. The neighboring cells are added to the triggering cell list. The neighboring cells in the triggering cell list are the cells that need to report measurement results.

[0608] Optionally, the method further includes:

[0609] Remove neighboring cells that meet the first condition from the triggering cell list; the first condition includes at least one of the following: the AI ​​capability does not meet the AI ​​requirement, or the measurement result does not meet the triggering event.

[0610] Optionally, the method further includes:

[0611] If a neighboring cell in the trigger cell list is removed, and the terminal is configured with a leave reporting instruction, a measurement report is sent based on the measurement results of the neighboring cells in the trigger cell list.

[0612] Optionally, determining whether to report the target under test based on the AI ​​requirements of the terminal and the AI ​​capabilities includes:

[0613] The AI ​​capabilities of the candidate cell do not meet the AI ​​requirements of the terminal, so the measurement results of the candidate cell are not reported.

[0614] Optionally, determining whether to report the target under test based on the AI ​​requirements and AI capabilities of the terminal includes at least one of the following:

[0615] The L1 reporting is triggered by a triggering event. The AI ​​capabilities of the candidate cell meet the AI ​​requirements of the terminal. The measurement results of the candidate cell meet the triggering event, and a measurement report is sent.

[0616] The L1 reporting is triggered by a triggering event. If the AI ​​capability of the candidate cell does not meet the AI ​​requirements of the terminal, or if the measurement result of the candidate cell does not meet the triggering event, no measurement report will be sent.

[0617] Optionally, the measurement report is carried by at least one of the following: Radio Resource Control (RRC) message, Media Access Control (MAC) CE message, and Uplink Control Information (UCI) message.

[0618] Optionally, the measurement report includes measurement results of the target under test whose AI capabilities meet the AI ​​requirements;

[0619] The measurement report does not include measurement results for targets whose AI capabilities do not meet the AI ​​requirements.

[0620] Optionally, the method further includes:

[0621] The terminal receives third information, which is used to instruct the terminal to report a first reason, the first reason being the reason why the terminal does not report the measurement results of the third cell, the third cell including: the cell corresponding to the target under test that has not reported the measurement results.

[0622] Optionally, the third information is included in the measurement object configuration and / or reporting configuration of the second configuration information.

[0623] Optionally, the third information is included in the third configuration information, and / or the third information is included in the reporting configuration of the third configuration information.

[0624] Optionally, the method further includes:

[0625] Send a fourth message and / or the cell identifier of the third cell to the network device; the fourth message includes the first reason, or the fourth message indicates the first reason; the first reason includes: the AI ​​capability of the third cell does not meet the AI ​​requirements.

[0626] Optionally, the L1 or L3 reporting is triggered by a triggering event, and the third cell satisfies at least one of the following: the AI ​​capability does not meet the AI ​​requirements, or the measurement result satisfies the triggering event; or

[0627] The L1 or L3 reporting is configured as any one of periodic reporting, semi-static reporting, or one-time triggered reporting, and the third cell satisfies at least one of the following: the AI ​​capability does not meet the AI ​​requirements, or the measurement result can be measured.

[0628] Optionally, the AI ​​capabilities of neighboring cells or candidate cells do not meet the AI ​​requirements, including at least one of the following:

[0629] The terminal has AI requirements, but the neighboring or candidate cells do not support AI functions.

[0630] The terminal has a need for a first AI service, but the neighboring cell or candidate cell does not support the first AI service.

[0631] The terminal has a need for the first AI service resource, but the neighboring cell or candidate cell does not support providing the first AI service resource to the terminal.

[0632] The terminal has a need for a first AI service, but the neighboring cell or candidate cell does not support providing the first AI service to the terminal.

[0633] Optionally, the method further includes at least one of the following:

[0634] The AI ​​requirements are determined based on the instructions from the terminal application layer.

[0635] The AI ​​requirement is determined based on the indication from the terminal non-access stratum (NAS) layer.

[0636] The AI ​​requirements are determined based on instructions from the NAS layer of the network device.

[0637] The AI ​​requirements are determined based on instructions from the network device application (APP) layer.

[0638] The terminal autonomously determines the AI ​​requirements;

[0639] The AI ​​requirements are determined based on the agreement.

[0640] The AI ​​requirements are determined based on the capabilities of the terminal itself.

[0641] For a detailed description of steps 3101-3103, please refer to the above embodiments.

[0642] The measurement reporting method involved in the embodiments of this disclosure may include at least one of steps 3101 to 3103. For example, step 3101 may be implemented as an independent embodiment, step 3102 may be implemented as an independent embodiment, step 3103 may be implemented as an independent embodiment, and step 3101+S3102 may be implemented as an independent embodiment, but is not limited thereto.

[0643] In this implementation or embodiment, unless there is contradiction, each step can be independent, arbitrarily combined or exchanged in order, optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other implementations or other embodiments.

[0644] Figure 4 is an interactive schematic diagram of a measurement reporting method according to an embodiment of the present disclosure. As shown in Figure 4, this disclosure relates to a measurement reporting method for a network device, the method comprising:

[0645] Step 4101: Send the first configuration information.

[0646] Step 4102: Send the first message.

[0647] Optionally, the first configuration information is used to configure the terminal to perform measurement and / or measurement reporting;

[0648] Optionally, the first information is used to indicate the artificial intelligence (AI) capability corresponding to at least one target to be tested; wherein the target to be tested is configured by the first configuration information.

[0649] Optionally, the first configuration information includes at least one of the following:

[0650] The second configuration information is used to configure layer 3 (L3) measurement and / or L3 reporting.

[0651] The third configuration information is used to configure layer 1 (L1) measurement and / or L1 reporting.

[0652] Optionally, the second configuration information includes at least one of the following:

[0653] At least one measurement object configuration, the measurement object configuration being used to configure a measurement object, the measurement object corresponding to one or more neighboring cells;

[0654] Measurement configuration corresponding to the object being measured;

[0655] The measurement identifier corresponding to the measurement object;

[0656] The reporting configuration corresponding to the measurement object.

[0657] Optionally, the third configuration information includes at least one of the following:

[0658] Measurement resource configuration, wherein the measurement resource configuration is used to configure a reference signal to be measured, the reference signal to be measured corresponding to one or more candidate cells;

[0659] Report configuration;

[0660] At least one candidate configuration, which is used to configure one or more candidate cells.

[0661] Optionally, the target to be tested includes at least one of the following:

[0662] The object being measured;

[0663] The neighboring cells corresponding to the measurement object;

[0664] The neighboring cell set corresponding to the measurement object;

[0665] Candidate cells corresponding to the reference signal to be measured;

[0666] The candidate cell set corresponding to the reference signal to be measured.

[0667] Optionally, the AI ​​capabilities include at least one of the following:

[0668] Does it support AI features?

[0669] Does it support AI services?

[0670] Does the terminal support providing AI service resources?

[0671] Does it support providing AI business services to the terminal?

[0672] Optionally, the first information is used to indicate the AI ​​capability corresponding to at least one of the following:

[0673] Using the measurement object as the granularity, it indicates the AI ​​capabilities of one or more neighboring cells corresponding to the measurement object;

[0674] Using candidate configurations as the granularity, the AI ​​capabilities of one or more candidate cells corresponding to the candidate configurations are indicated;

[0675] Using a first cell set as the granularity, it indicates the AI ​​capabilities of one or more first cell sets. The first cell set includes one or more first cells, and different first cells in the first cell set correspond to the same node. The first cell includes: neighboring cells corresponding to the measurement object, and / or, candidate cells corresponding to the reference signal to be measured.

[0676] Using the first cell as the granularity, the AI ​​capabilities of each of the first cells are indicated.

[0677] Optionally, the measurement object configuration of the second configuration information includes the first information, which is used to indicate the AI ​​capabilities of one or more neighboring cells corresponding to the measurement object; or

[0678] The second configuration information includes one or more of the first information, with different first information associated with different neighboring cells corresponding to the measurement object. The first information is used to indicate the AI ​​capabilities of the neighboring cells; or

[0679] The second configuration information includes one or more of the first information, and different first information is associated with different neighbor cell sets corresponding to the measurement object. The first information is used to indicate the AI ​​capabilities of the cells in the neighbor cell set, and the neighbor cell set includes at least one neighbor cell.

[0680] Optionally, the third configuration information includes one or more of the first information, wherein different first information is associated with different candidate configurations in the third configuration information, and the first information is used to indicate the AI ​​capability of the candidate cell corresponding to the candidate configuration; or

[0681] The third configuration information includes one or more of the first information, the first information being associated with a set of candidate configurations in the third configuration information, and the first information being used to indicate the AI ​​capabilities of the candidate cells corresponding to the set of candidate configurations; or

[0682] The candidate configuration of the third configuration information includes the first information, which is used to indicate the AI ​​capability of the candidate cell corresponding to the candidate configuration; or

[0683] The measurement resource configuration of the third configuration information includes one of the first pieces of information, which is used to indicate the AI ​​capabilities of candidate cells corresponding to one or more candidate configurations; or

[0684] The measurement resource configuration of the third configuration information includes one or more of the first information, and different first information is associated with different candidate configurations in the third configuration information. The first information is used to indicate the AI ​​capability of the candidate cell corresponding to the candidate configuration; or

[0685] The measurement resource configuration of the third configuration information includes one or more of the first information, the first information being associated with a set of candidate configurations in the third configuration information, and the first information being used to indicate the AI ​​capabilities of the candidate cells corresponding to the set of candidate configurations.

[0686] Optionally, the method further includes:

[0687] Send a second message, which indicates whether the terminal can perform measurement and reporting on demand based on the AI ​​requirements.

[0688] Optionally, the method further includes:

[0689] Send a third message, the third message being used to instruct the terminal to report a first reason, the first reason being the reason why the terminal does not report the measurement results of the third cell, the third cell including: the cell corresponding to the target to be measured that has not reported the measurement results.

[0690] Optionally, the second information and the third information are included in the measurement object configuration and / or reporting configuration of the second configuration information.

[0691] Optionally, the second information and the third information are included in the third configuration information, and / or the second information is included in the reporting configuration of the third configuration information.

[0692] Optionally, the method further includes:

[0693] The system receives a measurement report, which includes measurement results for targets whose AI capabilities meet the AI ​​requirements of the terminal; the measurement report does not include measurement results for targets whose AI capabilities do not meet the AI ​​requirements of the terminal.

[0694] Optionally, the measurement report is carried by at least one of the following: Radio Resource Control (RRC) message, Media Access Control (MAC) CE message, and Uplink Control Information (UCI) message.

[0695] Optionally, the method further includes:

[0696] Receive fourth information and / or the cell identifier of the third cell; the fourth information includes the first reason, or the fourth information indicates the first reason; the first reason includes: the AI ​​capability of the third cell does not meet the AI ​​requirements.

[0697] Optionally, the L1 or L3 reporting is triggered by a triggering event, and the third cell satisfies at least one of the following: the AI ​​capability does not meet the AI ​​requirements, or the measurement result satisfies the triggering event; or

[0698] The L1 or L3 reporting is configured as any one of periodic reporting, semi-static reporting, or one-time triggered reporting, and the third cell satisfies at least one of the following: the AI ​​capability does not meet the AI ​​requirements, or the measurement result can be measured.

[0699] For a detailed description of steps 4101-4102, please refer to the above embodiment description.

[0700] The measurement reporting method involved in the embodiments of this disclosure may include at least one of steps 4101 to 4102. For example, step 4101 may be implemented as an independent embodiment, step 4102 may be implemented as an independent embodiment, step 4103 may be implemented as an independent embodiment, and step 4101+S4102 may be implemented as an independent embodiment, but is not limited thereto.

[0701] In this implementation or embodiment, unless there is contradiction, each step can be independent, arbitrarily combined or exchanged in order, optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other implementations or other embodiments.

[0702] Figure 5 is an interactive schematic diagram of a measurement reporting method according to an embodiment of the present disclosure. As shown in Figure 5, the present disclosure relates to a measurement reporting method for a communication system, which includes a terminal and a network device. The method includes at least one of the following:

[0703] Step 5101: The network device sends the first configuration information;

[0704] Step 5102: The network device sends the first message.

[0705] Step 5103: The terminal receives the first configuration information.

[0706] Step 5104: The terminal receives the first information.

[0707] Step 5105: The terminal determines whether to measure and report the target under test based on its AI requirements and AI capabilities.

[0708] The optional implementation methods of steps 5101-5105 can be found in the above embodiments.

[0709] In some embodiments, the above methods may include the methods described in the embodiments of the communication system side, the first device side, the network device side, etc., which will not be repeated here.

[0710] The measurement reporting method disclosed in this embodiment may include at least one of steps 5101 to 5105. For example, step 5101 may be implemented as a separate embodiment, and step 5102 may be implemented as a separate embodiment, but the method is not limited thereto.

[0711] In this implementation or embodiment, unless there is contradiction, each step can be independent, arbitrarily combined or exchanged in order, optional methods or optional examples can be arbitrarily combined, and can be arbitrarily combined with any steps of other implementations or other embodiments.

[0712] The following is an exemplary description of the above method.

[0713] This disclosure proposes a measurement initiation and reporting method based on AI capability and demand matching. When the AI ​​capabilities provided by neighboring cells do not meet the AI ​​requirements of the UE, the UE does not perform measurements on the corresponding neighboring cells (or candidate cells), or does not report the measurement results of the corresponding neighboring cells (candidate cells). In other words, the UE only measures and / or reports the measurement results of neighboring cells (candidate cells) whose AI capabilities meet the UE's requirements.

[0714] An optional embodiment is provided, wherein each entry corresponds to a separate embodiment or implementation method. For example, the entries corresponding to X, XY, XYZ, and XYZQ each correspond to an embodiment or implementation method, where X, Y, Z, and Q are positive integers greater than 0.

[0715] 1: For L1 measurement reporting

[0716] When configuring LTM, the network side configures the AI / ML-related capabilities for each candidate cell. Based on the AI / ML capability information configured in LTM and the UE's AI requirements, the UE determines the candidate cells for which measurements need to be performed. Measurement reporting is then performed according to the corresponding reporting configuration.

[0717] The UE can determine, based on the indication information from the network side, whether it needs to indicate the reason for not carrying some candidate cell measurement results in the L1 measurement report. The reason may be that the AI ​​capability of the candidate cell does not meet the AI ​​requirements of the UE.

[0718] 2: Reporting of L3 measurements

[0719] The UE performs L3 measurements and measurement reporting based on the network-side measurement configuration. When configuring the measurement object, the network side includes the AI / ML-related capabilities of the neighboring cells corresponding to the measurement object. The UE determines whether to perform measurements on this measurement object based on the AI / ML capability information corresponding to the measurement object and the UE's AI requirements.

[0720] If the AI ​​capabilities of the neighboring cells corresponding to the measurement object do not meet the UE's requirements, the UE will not perform the corresponding measurement.

[0721] If there are cells in the neighboring cells corresponding to the measurement object that meet the UE's AI requirements and cells that do not meet the UE's AI requirements, the UE will only report the measurement results of the cells that meet the UE's AI requirements.

[0722] The following is an example description of an embodiment of this disclosure:

[0723] 1. The UE receives measurement configuration and / or AI capability information from the network side.

[0724] 1.1 Wherein, the measurement configuration includes any one or more of the following:

[0725] 1.1.1 L3 Measurement Configuration (RRM Measurement Configuration: including but not limited to any one or more of the following information: MeasConfig, MeasId, MeasObject, ReportConfig)

[0726] 1.1.2 L1 Measurement Configuration (Measurement configuration for LTM: including but not limited to any one or more of the following information: LTM-CSI-ResourceConfig, LTM-CSI-ReportConfig)

[0727] 1.2 Wherein, the AI / ML related capability information includes, but is not limited to, any one or more of the following:

[0728] 1.2.1 Does it support AI?

[0729] 1.2.2 Does it support specific AI services (or supported AI service types), such as measurement and prediction, localization, and AIasS (e.g., AI question answering)?

[0730] 1.2.3 Whether it can provide the UE with the necessary computing resources (e.g., computing, reading and writing, storage, algorithms, AI models, AI inference, AI training, AI verification, data distribution, etc.)

[0731] The network-side AI capabilities do not meet the UE's requirements in the following situations:

[0732] The UE has AI requirements, but neighboring cells (candidate cells) do not support AI; the UE has specific AI service requirements, but neighboring cells (candidate cells) support AI but do not support the AI ​​service; the UE needs the network to perform AI training, but neighboring cells (candidate cells) support AI but cannot provide the UE with the resources and services for AI training.

[0733] 1.3 The AI ​​capability information described in 1.2 can be configured using any one or more of the following granularities:

[0734] 1.3.1 AI capability information can be configured for each node (cell set) (e.g., gNB).

[0735] Note: Since nodes are not visible to UEs, the network side can configure AI capability information for a cell set under the same node.

[0736] 1.3.2 AI capability information can be configured for each cell.

[0737] 1.3.3 AI capability information can be configured for each frequency (e.g., Measurement Objective).

[0738] 1.3.4 AI capability information can be configured for each candidate configuration (e.g., LTM candidate configuration), and each AI capability information corresponds to a candidate configuration identifier.

[0739] 1.4 For example, the AI ​​capability information may be included in the measurement configuration.

[0740] - For example, for an L3 measurement configuration, the provision of AI capability information on the network side can be achieved through the following methods.

[0741] The network side configures AI capability information for each measurement object, and the configuration of the measurement object includes the corresponding AI capability information.

[0742] The network side configures AI capability information for the cells corresponding to the measurement objects.

[0743] The configuration of the measurement object includes the cell to be measured corresponding to the measurement object (e.g., represented by an allowed cell list), and configures corresponding AI capabilities for each cell.

[0744] The network side configures AI capability information for the cell set corresponding to the measurement object.

[0745] The measurement object configuration can include a set of AI capability information, with each AI capability information corresponding to a set of cell identifiers (or cell set identifiers).

[0746] - For example, for an L1 measurement configuration, the provision of AI capability information on the network side can be achieved through the following methods.

[0747] The network side configures AI capability information for each candidate configuration (e.g., LTM candidate configuration) or group of candidate configurations.

[0748] Included in the LTM configuration (LTM-Config)

[0749] The configuration needs to include one or more AI capability information pairs and candidate configuration identifiers.

[0750] The configuration needs to include a set of AI capability information, with each AI capability information corresponding to a set of candidate configuration identifiers ltm-CandidateId.

[0751] Included in the LTM candidate configuration (LTM-Candidate)

[0752] Each LTM candidate configuration contains AI capability information.

[0753] The measurement resource configuration (LTM-CSI-ResourceConfig) includes AI capability information.

[0754] The measurement resource configuration includes a corresponding AI capability information.

[0755] The configuration needs to include one or more AI capability information pairs and candidate configuration identifiers.

[0756] The configuration needs to include a set of AI capability information, with each AI capability information corresponding to a set of candidate configuration identifiers ltm-CandidateId.

[0757] Based on point 1, the network side can also configure indication information for the UE, indicating whether the UE can perform measurement execution and measurement reporting on demand based on AI requirements. In other words, the indication information indicates whether the UE can refrain from measuring or reporting the measurement results of neighboring cells (candidate cells) whose AI capabilities do not meet the UE's requirements.

[0758] For example, it should be noted that the AI ​​requirements on the UE side can come from the UE's application layer or NAS layer, or from the network side's NAS layer instructions or APP layer instructions, or be determined by the UE according to its own business needs.

[0759] 2.1 For example, the indication information may be included in the measurement configuration or LTM configuration.

[0760] - For example, for an L3 measurement configuration, the indication information can be configured using the following method.

[0761] The indication information is included in the measurement object configuration.

[0762] The indication information is included in the reporting configuration.

[0763] - For example, for an L1 measurement configuration, the indication information can be configured using the following method.

[0764] Included in the LTM configuration (LTM-Config)

[0765] Included in the L1 reporting configuration (e.g., LTM-CSI-ReportConfig).

[0766] Each LTM-CSI-ReportConfig ID corresponds to an indication message.

[0767] Based on 1, the network side can also configure reason request information for the UE. The reason request information is used to request the UE to include the reason for not reporting the corresponding measurement object (cell under test, frequency point under test, LTM candidate cell under test) in the measurement report.

[0768] 3.1 For example, the reason could be that the corresponding AI capabilities do not meet the AI ​​requirements of the UE.

[0769] 3.2 For example; reason indication information; indicating whether the reason for not reporting is that the corresponding AI capability does not meet the UE's AI requirements.

[0770] 3.3 The configuration method for the reason request information is the same as in 2.

[0771] 4. Based on any one of 1 to 3, the UE determines whether to initiate the corresponding measurement based on the network-side measurement configuration and / or the network-side AI capability information (optionally, the indication information in 2 can be considered).

[0772] 4.1 If none of the AI ​​capability information corresponding to the same target under test meets the UE's AI requirements, the UE does not need to perform (or stop) the measurement of the target under test and / or if at least one of the AI ​​capability information corresponding to the same target under test meets the UE's AI requirements, the UE performs (or starts) the measurement of the target under test.

[0773] 4.1.1 For example, a target to be tested can be associated with multiple AI capability information; for example, a target to be tested can be associated with multiple cells, and each cell can be associated with one AI capability information.

[0774] 4.1.2 In this context, a single target may correspond to only one AI capability information.

[0775] 4.2 Considering the indication information in section 2: In response to the indication information being "Yes", the UE determines whether to perform measurement on the target under test based on section 4.1; otherwise, if the indication information is "No" or not configured, the UE performs measurement on the target under test according to the measurement configuration.

[0776] - For example, in an L3 measurement configuration, the target to be measured is any one or more of the following:

[0777] Measurement object

[0778] AI capabilities can be configured for the entire object being measured, or for each cell within that object.

[0779] If the AI ​​capabilities of the neighboring cells corresponding to the measurement object do not meet the UE's requirements, the UE will not perform (or will stop) the corresponding measurement.

[0780] If the AI ​​capabilities of at least one neighboring cell corresponding to the measurement object meet the UE's requirements, the UE performs (or initiates) the corresponding measurement.

[0781] residential area

[0782] If the AI ​​capabilities of the cell do not meet the UE's requirements, the UE will not perform (or will stop) the corresponding measurements.

[0783] If the AI ​​capabilities of the cell meet the UE's requirements, the UE performs (or initiates) the corresponding measurement.

[0784] Community

[0785] If the AI ​​capabilities of all cells in the cell set do not meet the UE's requirements, the UE will not perform (or will stop) the corresponding measurement.

[0786] If the AI ​​capabilities of at least one cell in the cell set meet the UE's requirements, the UE performs (or initiates) the corresponding measurement.

[0787] - For example, in an L1 measurement configuration, the target to be measured is any one or more of the following:

[0788] LTM configuration (LTM-Config)

[0789] AI capabilities can be configured for LTM or for each candidate cell in LTM.

[0790] If the AI ​​capabilities of the candidate cells corresponding to the LTM configuration do not meet the UE's requirements, the UE will not perform (or will stop) L1 measurement.

[0791] If the AI ​​capabilities of at least one candidate cell corresponding to the LTM meet the UE's requirements, the UE performs (or initiates) L1 measurement.

[0792] Candidate Community

[0793] If the AI ​​capabilities of the candidate cell do not meet the UE's requirements, the UE will not perform (or will stop) the corresponding L1 measurement.

[0794] If the AI ​​capabilities of the candidate cell meet the UE's requirements, the UE performs (or initiates) the corresponding L1 measurement.

[0795] Candidate Community Set

[0796] If the AI ​​capabilities of all candidate cells in the candidate cell set do not meet the UE's requirements, the UE will not perform (or will stop) the corresponding L1 measurement.

[0797] If the AI ​​capabilities of at least one candidate cell in the candidate cell set meet the UE's requirements, the UE performs (or initiates) the corresponding L1 measurement.

[0798] Measurement resource configuration (ltm-CSI-SSB-ResourceSet)

[0799] If the AI ​​capabilities of all candidate cells in the ltm-CSI-SSB-ResourceSet do not meet the UE's requirements, the UE will not perform (or will stop) the corresponding L1 measurement.

[0800] If the AI ​​capability of at least one candidate cell in the ltm-CSI-SSB-ResourceSet meets the UE's requirements, the UE performs (or initiates) the corresponding L1 measurement.

[0801] 5. Based on any one of 1 to 3, the UE, based on the network-side measurement configuration and / or the network-side AI capability information, only reports the measurement results of cells whose AI capabilities meet the UE's requirements (or, in other words, the UE does not report the measurement results of cells whose AI capabilities do not meet the UE's requirements).

[0802] 5.1 Based on 4, if the target under test includes cells whose AI capabilities do not meet the UE's requirements, the UE will not report the measurement results of the unmet cells.

[0803] 5.2 Considering the indication information in 2: In response to the indication information being "yes", the UE determines whether to report the measurement result based on 5; otherwise, if the indication information is "no" or not configured, the UE performs measurement reporting according to the measurement configuration.

[0804] 6. Based on 5.1, if the target under test includes cells whose AI capabilities do not meet the UE's requirements, the UE will not report the measurement results of the unmet cells. This can be achieved in the following way.

[0805] 6.1 For L3 measurement reporting, (the UE sends the measurement report via RRC message)

[0806] 6.1.1 If the AI ​​capabilities of the neighboring cells corresponding to the measurement object do not meet the UE's requirements, then it is not an Applicable Cell.

[0807] 6.1.2 For event-triggered measurement reporting,

[0808] 6.1.2.1 If the AI ​​capabilities of the neighboring cells corresponding to the measurement object meet the UE's requirements and their measurement results meet the measurement event, then add them to the triggering cell list;

[0809] 6.1.2.2 and / or if the AI ​​capabilities of neighboring cells in the triggering cell list corresponding to the measurement object do not meet the UE's requirements, or if their measurement results do not meet the measurement event, then remove them from the triggering cell list.

[0810] 6.1.2.2.1 If a departure reporting indicator is configured, a measurement report will be triggered.

[0811] 6.2 For L1 measurement reporting, (the UE sends the measurement report via RRC, MAC CE, and UCI messages)

[0812] 6.2.1 If the AI ​​capabilities of a candidate cell do not meet the UE's requirements, its measurement results (including the measurement results of all its beams) will not be reported.

[0813] 6.2.2 For event-triggered measurement reporting,

[0814] 6.2.2.1 If a candidate cell's AI capabilities meet the UE's requirements and its measurement results meet the measurement event, then a measurement report is triggered and its measurement results are included in the L1 measurement report;

[0815] 6.2.2.2 and / or if the AI ​​capabilities of the candidate cell do not meet the UE's requirements or its measurement results do not meet the measurement event, then measurement reporting will not be triggered.

[0816] 6.2.2.3 If a candidate cell triggers L1 measurement reporting, the L1 measurement report will not include measurement results of candidate cells whose AI capabilities do not meet the UE's requirements.

[0817] 7. Based on the UE reporting reason information in section 5.1, for cells where the AI ​​capabilities do not meet the UE's needs, reason information can be reported, stating that "the corresponding AI capabilities do not meet the UE's AI requirements".

[0818] 7.1 For example, whether to support reporting reason information can be determined based on the request information in section 3.

[0819] 7.2 For example, for event-triggered reporting, only cells whose measurement results meet the reporting event requirements but whose AI capabilities do not meet the requirements can report cause information and / or the corresponding cell identifier.

[0820] 7.3 For example, for periodic reporting, semi-static reporting, and one-time triggered reporting, only cells where the UE can measure the measurement results but the AI ​​capability does not meet the requirements can report the cause information and / or the corresponding cell identifier.

[0821] This disclosure also provides an apparatus for implementing any of the above methods. For example, an apparatus is provided that includes units or modules for implementing the steps performed by the terminal in any of the above methods. Alternatively, another apparatus is provided that includes units or modules for implementing the steps performed by a network device (e.g., an access network device, a core network functional node, a core network device, etc.) in any of the above methods.

[0822] It should be understood that the division of units or modules in the above device is only a logical functional division. In actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated. Furthermore, the units or modules in the device can be implemented by a processor calling software: for example, the device includes a processor connected to a memory containing instructions. The processor calls the instructions stored in the memory to implement any of the above methods or to implement the functions of the units or modules in the above device. The processor can be, for example, a general-purpose processor, such as a Central Processing Unit (CPU) or a microprocessor, and the memory can be internal or external to the device. Alternatively, the units or modules in the device can be implemented in the form of hardware circuits. The functionality of some or all of the units or modules can be achieved through the design of these hardware circuits, which can be understood as one or more processors. For example, in one implementation, the hardware circuit is an application-specific integrated circuit (ASIC). The functionality of some or all of the units or modules is achieved through the design of the logical relationships between the components within the circuit. In another implementation, the hardware circuit can be implemented using a programmable logic device (PLD). Taking a field-programmable gate array (FPGA) as an example, it can include a large number of logic gates. The connection relationships between the logic gates are configured through configuration files, thereby achieving the functionality of some or all of the units or modules. All units or modules of the above device can be implemented entirely through processor-called software, entirely through hardware circuits, or partially through processor-called software with the remaining parts implemented through hardware circuits.

[0823] In this embodiment, the processor is a circuit with signal processing capabilities. In one implementation, the processor can be a circuit with instruction read and execute 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 relationships of hardware circuits. The logical relationships of the aforementioned hardware circuits are fixed or reconfigurable. For example, the processor is a hardware circuit implemented using 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 configuring the hardware circuit 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. Furthermore, 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), or a Deep Learning Processing Unit (DPU).

[0824] Figure 6A is a schematic diagram of the structure of a terminal according to an embodiment of this disclosure. As shown in Figure 6A, it includes:

[0825] The transceiver module is used to receive first configuration information, which is used to configure the terminal to perform measurement and / or measurement reporting.

[0826] The transceiver module is further configured to receive first information, which indicates the artificial intelligence (AI) capability corresponding to at least one target to be tested; wherein the target to be tested is configured by the first configuration information.

[0827] The processing module is used to determine whether to measure and report the target under test based on the AI ​​requirements and AI capabilities of the terminal.

[0828] Optionally, the above processing module is used to execute the steps related to "processing" executed by the terminal in any of the above methods, and the upper transceiver module is used to execute the steps related to "sending and receiving" executed by the terminal in any of the above methods.

[0829] Figure 6B is a schematic diagram of the structure of a network device according to an embodiment of this disclosure. As shown in Figure 6B, it includes:

[0830] The transceiver module is used to send first configuration information, which is used to configure the terminal to perform measurement and / or measurement reporting.

[0831] The transceiver module is further configured to send first information, which indicates the artificial intelligence (AI) capability corresponding to at least one target to be tested; wherein the target to be tested is configured by the first configuration information.

[0832] Optionally, the transceiver module is used to perform the "transmit and receive" related steps executed by the network device in any of the above methods. Optionally, the network device may further include a processing module, which is used to perform the "processing" related steps executed by the network device in any of the above methods.

[0833] Figure 7A is a schematic diagram of the structure of the communication device 7100 proposed in an embodiment of this disclosure. The communication device 7100 can be a network device (e.g., access network device, core network device, etc.), a terminal (e.g., user equipment or the first device described above), a chip, chip system, or processor that supports the network device in implementing any of the above methods, or a chip, chip system, or processor that supports the terminal in implementing any of the above methods. The communication device 7100 can be used to implement the methods described in the above method embodiments; for details, please refer to the descriptions in the above method embodiments.

[0834] As shown in Figure 7A, the communication device 7100 includes one or more processors 7101. The processor 7101 can be a general-purpose processor or a dedicated processor, such as a baseband processor or a central processing unit (CPU). The baseband processor can be used to process communication protocols and communication data, while the CPU can be used to control communication devices (e.g., base stations, baseband chips, terminal devices, terminal device chips, DUs or CUs, etc.), execute programs, and process program data. The processor 7101 is used to invoke instructions to cause the communication device 7100 to execute any of the above methods.

[0835] In some embodiments, the communication device 7100 further includes one or more memories 7102 for storing instructions. Optionally, all or part of the memories 7102 may also be located outside the communication device 7100.

[0836] In some embodiments, the communication device 7100 further includes one or more transceivers 7103. When the communication device 7100 includes one or more transceivers 7103, the communication steps such as sending and receiving in the above method are performed by the transceivers 7103, and other steps are performed by the processor 7101.

[0837] In some embodiments, a transceiver may include a receiver and a transmitter, which may be separate or integrated. Optionally, the terms transceiver, transceiver unit, transceiver, transceiver circuit, etc., may be used interchangeably; the terms transmitter, transmitting unit, transmitter, transmitting circuit, etc., may be used interchangeably; and the terms receiver, receiving unit, receiver, receiving circuit, etc., may be used interchangeably.

[0838] Optionally, the communication device 7100 further includes one or more interface circuits 7104, which are connected to the memory 7102. The interface circuits 7104 can be used to receive signals from the memory 7102 or other devices, and can be used to send signals to the memory 7102 or other devices. For example, the interface circuits 7104 can read instructions stored in the memory 7102 and send the instructions to the processor 7101.

[0839] The communication device 7100 described in the above embodiments may be a network device or a terminal, but the scope of the communication device 7100 described in this disclosure is not limited thereto, and the structure of the communication device 7100 may not be limited by FIG. 7a. The communication device may be a standalone device or a part of a larger device. For example, the communication device may be: (1) a standalone integrated circuit IC, or chip, or chip system or subsystem; (2) a collection of one or more ICs, optionally, the IC collection may also include storage components for storing data and programs; (3) an ASIC, such as a modem; (4) a module that can be embedded in other devices; (5) a receiver, terminal device, smart terminal device, cellular phone, wireless device, handheld device, mobile unit, vehicle device, network device, cloud device, artificial intelligence device, etc.; (6) others, etc.

[0840] Figure 7B is a schematic diagram of the structure of the chip 7200 according to an embodiment of this disclosure. For cases where the communication device 7100 can be a chip or a chip system, the schematic diagram of the chip 7200 shown in Figure 7B can be referenced, but is not limited thereto.

[0841] Chip 7200 includes one or more processors 7201, which are used to invoke instructions to cause chip 7200 to perform any of the above methods.

[0842] In some embodiments, chip 7200 further includes one or more interface circuits 7202 connected to memory 7203. Interface circuits 7202 can be used to receive signals from memory 7203 or other devices, and can also be used to send signals to memory 7203 or other devices. For example, interface circuit 7202 can read instructions stored in memory 7203 and send those instructions to processor 7201. Optionally, terms such as interface circuit, interface, transceiver pin, and transceiver can be used interchangeably.

[0843] In some embodiments, chip 7200 further includes one or more memories 7203 for storing instructions. Optionally, all or part of the memories 7203 may be located outside of chip 7200.

[0844] This disclosure also proposes a storage medium storing instructions that, when executed on the communication device 7100, cause the communication device 7100 to perform 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 not limited thereto; it may also be a storage medium readable by other devices. Optionally, the storage medium may be a non-transitory storage medium, but not limited thereto; it may also be a temporary storage medium.

[0845] This disclosure also provides a program product that, when executed by the communication device 7100, causes the communication device 7100 to perform any of the above methods. Optionally, the program product is a computer program product.

[0846] This disclosure also proposes a computer program that, when run on a computer, causes the computer to perform any of the above methods.

[0847] In the above embodiments, implementation can be achieved, in whole or in part, through software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented, in whole or in part, as a computer program product. The computer program product includes one or more computer programs. When the computer program is loaded and executed on a computer, all or part of the processes or functions described in the embodiments of this disclosure are generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer program can be stored in a computer-readable storage medium or transferred from one computer-readable storage medium to another. For example, the computer program can be transferred from one website, computer, server, or data center to another via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) means. The computer-readable storage medium can be any available medium accessible to a computer or a data storage device such as a server or data center that integrates one or more available media. The available media may be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., high-density digital video discs (DVDs)), or semiconductor media (e.g., solid-state disks (SSDs)).

[0848] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this disclosure.

[0849] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems, devices, and units described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0850] The above description is merely a specific embodiment of this disclosure, but the scope of protection of this disclosure is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this disclosure should be included within the scope of protection of this disclosure. Therefore, the scope of protection of this disclosure should be determined by the scope of the claims.

Claims

A measurement reporting method, characterized in that, The method, executed by a terminal, includes: Receive first configuration information, which is used to configure the terminal to perform measurement and / or measurement reporting; Receive first information, which is used to indicate the artificial intelligence (AI) capability corresponding to at least one target to be tested; wherein the target to be tested is configured by the first configuration information; Based on the AI ​​requirements and capabilities of the terminal, it is determined whether to measure and report the target to be tested. The method as described in claim 1, characterized in that, The first configuration information includes at least one of the following: The second configuration information is used to configure layer 3 (L3) measurement and / or L3 reporting. The third configuration information is used to configure layer 1 (L1) measurement and / or L1 reporting. The method as described in claim 2, characterized in that, The second configuration information includes at least one of the following: At least one measurement object configuration, the measurement object configuration being used to configure a measurement object, the measurement object corresponding to one or more neighboring cells; Measurement configuration corresponding to the object being measured; The measurement identifier corresponding to the measurement object; The reporting configuration corresponding to the measurement object. The method as described in claim 2, characterized in that, The third configuration information includes at least one of the following: Measurement resource configuration, wherein the measurement resource configuration is used to configure a reference signal to be measured, the reference signal to be measured corresponding to one or more candidate cells; Report configuration; At least one candidate configuration, which is used to configure one or more candidate cells. The method as described in any one of claims 1-4, characterized in that, The target to be tested includes at least one of the following: The object being measured; The neighboring cells corresponding to the measurement object; The neighboring cell set corresponding to the measurement object; Candidate cells corresponding to the reference signal to be measured; The candidate cell set corresponding to the reference signal to be measured. The method as described in any one of claims 1-5, characterized in that, The AI ​​capabilities include at least one of the following: Does it support AI features? Does it support AI services? Does the terminal support providing AI service resources? Does it support providing AI business services to the terminal? The method as described in any one of claims 1-6, characterized in that, The first information is used to indicate the AI ​​capability corresponding to at least one of the following: Using the measurement object as the granularity, it indicates the AI ​​capabilities of one or more neighboring cells corresponding to the measurement object; Using candidate configurations as the granularity, the AI ​​capabilities of one or more candidate cells corresponding to the candidate configurations are indicated; Using a first cell set as the granularity, it indicates the AI ​​capabilities of one or more first cell sets. The first cell set includes one or more first cells, and different first cells in the first cell set correspond to the same node. The first cell includes: neighboring cells corresponding to the measurement object, and / or, candidate cells corresponding to the reference signal to be measured. Using the first cell as the granularity, the AI ​​capabilities of each of the first cells are indicated. The method as described in any one of claims 2-7, characterized in that, The measurement object configuration of the second configuration information includes the first information, which is used to indicate the AI ​​capabilities of one or more neighboring cells corresponding to the measurement object; or The second configuration information includes one or more of the first information, with different first information associated with different neighboring cells corresponding to the measurement object. The first information is used to indicate the AI ​​capabilities of the neighboring cells; or The second configuration information includes one or more of the first information, each of which is associated with a different set of neighboring cells corresponding to the measurement object. The first information is used to indicate the AI ​​capabilities of the cells in the set of neighboring cells, and the set of neighboring cells includes at least one neighboring cell. The method as described in any one of claims 2-7, characterized in that, The third configuration information includes one or more of the first information, wherein different first information is associated with different candidate configurations in the third configuration information, and the first information is used to indicate the AI ​​capability of the candidate cell corresponding to the candidate configuration; or The third configuration information includes one or more of the first information, the first information being associated with a set of candidate configurations in the third configuration information, and the first information being used to indicate the AI ​​capabilities of the candidate cells corresponding to the set of candidate configurations; or The candidate configuration of the third configuration information includes the first information, which is used to indicate the AI ​​capability of the candidate cell corresponding to the candidate configuration; or The measurement resource configuration of the third configuration information includes one of the first pieces of information, which is used to indicate the AI ​​capabilities of candidate cells corresponding to one or more candidate configurations; or The measurement resource configuration of the third configuration information includes one or more of the first information, and different first information is associated with different candidate configurations in the third configuration information. The first information is used to indicate the AI ​​capability of the candidate cell corresponding to the candidate configuration; or The measurement resource configuration of the third configuration information includes one or more of the first information, the first information being associated with a set of candidate configurations in the third configuration information, and the first information being used to indicate the AI ​​capabilities of the candidate cells corresponding to the set of candidate configurations. The method as described in any one of claims 1-9, characterized in that, The method further includes: The terminal receives a second message, which indicates whether it can perform measurement and reporting on demand based on the AI ​​requirements. The method as described in claim 10, characterized in that, The second information is included in the measurement object configuration and / or reporting configuration of the second configuration information. The method as described in claim 10, characterized in that, The second information is included in the third configuration information, and / or the second information is included in the reporting configuration of the third configuration information. The method as described in any one of claims 1-12, characterized in that, The determination of whether to measure and report the target under test based on the AI ​​requirements and AI capabilities of the terminal includes: The second information indicates that the terminal can perform measurement and reporting on demand based on the AI ​​requirements, and determines whether to measure and report the target under test based on the terminal's AI requirements and the AI ​​capabilities. The method as described in any one of claims 1-13, characterized in that, The determination of whether to measure and report the target under test based on the AI ​​requirements and AI capabilities of the terminal includes at least one of the following: The AI ​​capability corresponding to the target under test does not meet the AI ​​requirements of the terminal, so it is determined that the target under test will not be measured or reported. The AI ​​capability corresponding to the target to be tested meets the AI ​​requirements of the terminal, and it is determined that the target to be tested will be measured and reported. The method as described in any one of claims 1-14, characterized in that, The AI ​​requirements based on the terminal and the AI ​​capabilities The force determines whether to measure the target, including at least one of the following: If the AI ​​capabilities of all neighboring cells corresponding to the measurement object do not meet the AI ​​requirements of the terminal, it is determined that L3 measurement will not be performed on the neighboring cells of the measurement object. If at least one of the neighboring cells corresponding to the measurement object includes a second cell, it is determined that L3 measurement will be performed on the second cell. If the AI ​​capabilities of the neighboring cell do not meet the AI ​​requirements of the terminal, it is determined that L3 measurement will not be performed on the neighboring cell. The AI ​​capabilities of the neighboring cell meet the AI ​​requirements of the terminal, and it is determined that L3 measurement should be performed on the neighboring cell; The AI ​​capabilities of all neighboring cells in the neighboring cell cluster do not meet the AI ​​requirements of the terminal, therefore it is determined that L3 measurement will not be performed on the neighboring cells in the neighboring cell cluster. The neighboring cell cluster includes the second cell, and it is determined that L3 measurements will be performed on the second cell; among which... The AI ​​capabilities of the second cell meet the AI ​​requirements of the terminal. The method as described in any one of claims 1-14, characterized in that, The determination of whether to measure the target based on the AI ​​requirements and AI capabilities of the terminal includes at least one of the following: The AI ​​capabilities of all candidate cells corresponding to the third configuration information do not meet the AI ​​requirements of the terminal, so it is determined that L1 measurement will not be performed. The third configuration information includes at least one candidate cell, which includes a second cell, and it is determined that L1 measurement will be performed on the second cell. If the AI ​​capabilities of the candidate cell do not meet the AI ​​requirements of the terminal, it is determined that L1 measurement will not be performed on the candidate cell. If the AI ​​capabilities of the candidate cell meet the AI ​​requirements of the terminal, it is determined that L1 measurement will be performed on the candidate cell. If the AI ​​capabilities of all candidate cells in the candidate cell set do not meet the AI ​​requirements of the terminal, it is determined that L1 measurement will not be performed on the candidate cells in the candidate cell set. The candidate cell set includes the second cell, and it is determined that the second cell will be used for L1 measurement; If the AI ​​capabilities of all candidate cells corresponding to the measurement resource configuration do not meet the AI ​​requirements of the terminal, it is determined that L1 measurement will not be performed for the measurement resources. The measurement resource configuration includes at least one candidate cell, which is a second cell, and it is determined that the second cell will be subjected to L1 measurement; wherein The AI ​​capabilities of the second cell meet the AI ​​requirements of the terminal. The method as described in any one of claims 1-16, characterized in that, The determination of whether to report the target under test based on the AI ​​requirements and AI capabilities of the terminal includes: If the AI ​​capabilities of the neighboring cells corresponding to the measurement object do not meet the AI ​​requirements of the terminal, the measurement results of the neighboring cells will not be reported. The method as described in any one of claims 1-16, characterized in that, The determination of whether to report the target under test based on the AI ​​requirements and AI capabilities of the terminal includes: The L3 reporting is triggered by a triggering event. The AI ​​capabilities of the neighboring cells corresponding to the measurement object meet the AI ​​requirements of the terminal. The measurement results of the neighboring cells meet the triggering event. The neighboring cells are added to the triggering cell list. The neighboring cells in the triggering cell list are the cells that need to report measurement results. The method as described in claim 18, characterized in that, The method further includes: Remove neighboring cells that meet the first condition from the triggering cell list; the first condition includes at least one of the following: the AI ​​capability does not meet the AI ​​requirement, or the measurement result does not meet the triggering event. The method as described in claim 19, characterized in that, The method further includes: If a neighboring cell in the trigger cell list is removed, and the terminal is configured with a leave reporting instruction, a measurement report is sent based on the measurement results of the neighboring cells in the trigger cell list. The method as described in any one of claims 1-16, characterized in that, The AI ​​requirements based on the terminal and the AI ​​capabilities The determination of whether to report the target under test includes: The AI ​​capabilities of the candidate cell do not meet the AI ​​requirements of the terminal, so the measurement results of the candidate cell are not reported. The method as described in any one of claims 1-16, characterized in that, The determination of whether to report the target under test based on the AI ​​requirements and AI capabilities of the terminal includes at least one of the following: The L1 reporting is triggered by a triggering event. The AI ​​capabilities of the candidate cell meet the AI ​​requirements of the terminal. The measurement results of the candidate cell meet the triggering event, and a measurement report is sent. The L1 reporting is triggered by a triggering event. If the AI ​​capability of the candidate cell does not meet the AI ​​requirements of the terminal, or if the measurement result of the candidate cell does not meet the triggering event, no measurement report will be sent. The method as described in claim 20 or 22, characterized in that, The measurement report is carried by at least one of the following: Radio Resource Control (RRC) message, Media Access Control (MAC) CE message, and Uplink Control Information (UCI) message. The method as described in any one of claims 20, 22, or 23, characterized in that, The measurement report includes the measurement results of the target under test, indicating that the AI ​​capabilities meet the AI ​​requirements; The measurement report does not include measurement results for targets whose AI capabilities do not meet the AI ​​requirements. The method as described in any one of claims 1-24, characterized in that, The method further includes: The terminal receives third information, which is used to instruct the terminal to report a first reason. The first reason is the reason why the terminal does not report the measurement results of the third cell. The third cell includes the cell corresponding to the target under test that has not reported the measurement results. The method as described in claim 25, characterized in that, The third information is included in the measurement object configuration and / or reporting configuration of the second configuration information. The method as described in claim 25, characterized in that, The third information is included in the third configuration information, and / or the third information is included in the reporting configuration of the third configuration information. The method as described in any one of claims 25-27, characterized in that, The method further includes: Send a fourth message and / or the cell identifier of the third cell to the network device; the fourth message includes the first reason, or the fourth message indicates the first reason; the first reason includes: the AI ​​capability of the third cell does not meet the AI ​​requirements. The method as described in claim 28, characterized in that, The L1 or L3 reporting is triggered by a triggering event, and the third cell satisfies at least one of the following: the AI ​​capability does not meet the AI ​​requirements, or the measurement result meets the triggering event; or The L1 or L3 reporting is configured as any one of periodic reporting, semi-static reporting, or one-time triggered reporting, and the third cell satisfies at least one of the following: the AI ​​capability does not meet the AI ​​requirements, or the measurement result can be measured. The method as described in any one of claims 15-30, characterized in that, The AI ​​capabilities of neighboring or candidate cells do not meet the AI ​​requirements, including at least one of the following: The terminal has AI requirements, but the neighboring or candidate cells do not support AI functions. The terminal has a need for a first AI service, but the neighboring cell or candidate cell does not support the first AI service. The terminal has a need for the first AI service resource, but the neighboring cell or candidate cell does not support providing the first AI service resource to the terminal. The terminal has a need for a first AI service, but the neighboring cell or candidate cell does not support providing the first AI service to the terminal. The method as described in any one of claims 1-30, characterized in that, The method further includes at least one of the following: The AI ​​requirements are determined based on the instructions from the terminal application layer. The AI ​​requirement is determined based on the indication from the terminal non-access stratum (NAS) layer. The AI ​​requirements are determined based on instructions from the NAS layer of the network device. The AI ​​requirements are determined based on instructions from the network device application (APP) layer. The terminal autonomously determines the AI ​​requirements; The AI ​​requirements are determined based on the agreement. The AI ​​requirements are determined based on the capabilities of the terminal itself. A measurement reporting method, characterized in that, Performed by a network device, the method includes: Send first configuration information, which is used to configure the terminal to perform measurement and / or measurement reporting; Send first information, which is used to indicate the artificial intelligence (AI) capability corresponding to at least one target to be tested; wherein the target to be tested is configured by the first configuration information. The method as described in claim 32, characterized in that, The first configuration information includes at least one of the following: The second configuration information is used to configure layer 3 (L3) measurement and / or L3 reporting. The third configuration information is used to configure layer 1 (L1) measurement and / or L1 reporting. The method as described in claim 33, characterized in that, The second configuration information includes at least one of the following: At least one measurement object configuration, the measurement object configuration being used to configure a measurement object, the measurement object corresponding to one or more neighboring cells; Measurement configuration corresponding to the object being measured; The measurement identifier corresponding to the measurement object; The reporting configuration corresponding to the measurement object. The method as described in claim 33, characterized in that, The third configuration information includes at least one of the following: Measurement resource configuration, wherein the measurement resource configuration is used to configure a reference signal to be measured, the reference signal to be measured corresponding to one or more candidate cells; Report configuration; At least one candidate configuration, which is used to configure one or more candidate cells. The method as described in any one of claims 32-35, characterized in that, The target to be tested includes at least one of the following: The object being measured; The neighboring cells corresponding to the measurement object; The neighboring cell set corresponding to the measurement object; Candidate cells corresponding to the reference signal to be measured; The candidate cell set corresponding to the reference signal to be measured. The method as described in any one of claims 32-36, characterized in that, The AI ​​capabilities include at least one of the following: Does it support AI features? Does it support AI services? Does the terminal support providing AI service resources? Does it support providing AI business services to the terminal? The method as described in any one of claims 32-37, characterized in that, The first information is used to indicate at least one target pair to be tested. The corresponding AI capabilities include at least one of the following: Using the measurement object as the granularity, it indicates the AI ​​capabilities of one or more neighboring cells corresponding to the measurement object; Using candidate configurations as the granularity, the AI ​​capabilities of one or more candidate cells corresponding to the candidate configurations are indicated; Using a first cell set as the granularity, it indicates the AI ​​capabilities of one or more first cell sets. The first cell set includes one or more first cells, and different first cells in the first cell set correspond to the same node. The first cell includes: neighboring cells corresponding to the measurement object, and / or, candidate cells corresponding to the reference signal to be measured. Using the first cell as the granularity, the AI ​​capabilities of each of the first cells are indicated. The method as described in any one of claims 33-38, characterized in that, The measurement object configuration of the second configuration information includes the first information, which is used to indicate the AI ​​capabilities of one or more neighboring cells corresponding to the measurement object; or The second configuration information includes one or more of the first information, with different first information associated with different neighboring cells corresponding to the measurement object. The first information is used to indicate the AI ​​capabilities of the neighboring cells; or The second configuration information includes one or more of the first information, each of which is associated with a different set of neighboring cells corresponding to the measurement object. The first information is used to indicate the AI ​​capabilities of the cells in the set of neighboring cells, and the set of neighboring cells includes at least one neighboring cell. The method as described in any one of claims 33-38, characterized in that, The third configuration information includes one or more of the first information, wherein different first information is associated with different candidate configurations in the third configuration information, and the first information is used to indicate the AI ​​capability of the candidate cell corresponding to the candidate configuration; or The third configuration information includes one or more of the first information, the first information being associated with a set of candidate configurations in the third configuration information, and the first information being used to indicate the AI ​​capabilities of the candidate cells corresponding to the set of candidate configurations; or The candidate configuration of the third configuration information includes the first information, which is used to indicate the AI ​​capability of the candidate cell corresponding to the candidate configuration; or The measurement resource configuration of the third configuration information includes one of the first pieces of information, which is used to indicate the AI ​​capabilities of candidate cells corresponding to one or more candidate configurations; or The measurement resource configuration of the third configuration information includes one or more of the first information, and different first information is associated with different candidate configurations in the third configuration information. The first information is used to indicate the AI ​​capability of the candidate cell corresponding to the candidate configuration; or The measurement resource configuration of the third configuration information includes one or more of the first information, the first information being associated with a set of candidate configurations in the third configuration information, and the first information being used to indicate the AI ​​capabilities of the candidate cells corresponding to the set of candidate configurations. The method as described in any one of claims 32-40, characterized in that, The method further includes: Send a second message, which indicates whether the terminal can perform measurement and reporting on demand based on the AI ​​requirements. The method as described in any one of claims 32-43, characterized in that, The method further includes: Send a third message, which is used to instruct the terminal to report a first reason, the first reason being the reason why the terminal does not report the measurement results of the third cell, the third cell including: the cell corresponding to the target to be measured that has not reported the measurement results. The method as described in claim 41 or 42, characterized in that, The second and third information are included in the measurement object configuration and / or reporting configuration of the second configuration information. The method as described in claim 41 or 42, characterized in that, The second and third information are included in the third configuration information, and / or the second information is included in the reporting configuration of the third configuration information. The method as described in any one of claims 41-44, characterized in that, The method further includes: The system receives a measurement report, which includes measurement results for targets whose AI capabilities meet the AI ​​requirements of the terminal; the measurement report does not include measurement results for targets whose AI capabilities do not meet the AI ​​requirements of the terminal. The method as described in claim 45, characterized in that, The measurement report is carried by at least one of the following: Radio Resource Control (RRC) message, Media Access Control (MAC) CE message, and Uplink Control Information (UCI) message. The method as described in any one of claims 31-46, characterized in that, The method further includes: Receive fourth information and / or the cell identifier of the third cell; the fourth information includes the first reason, or the fourth information indicates the first reason; the first reason includes: the AI ​​capability of the third cell does not meet the AI ​​requirements. The method as described in any one of claims 42-47, characterized in that, The L1 or L3 reporting is triggered by a triggering event, and the third cell satisfies at least one of the following: the AI ​​capability does not meet the AI ​​requirements, or the measurement result meets the triggering event; or The L1 or L3 reporting is configured as any one of periodic reporting, semi-static reporting, or one-time triggered reporting, and the third cell satisfies at least one of the following: the AI ​​capability does not meet the AI ​​requirements, or the measurement result can be measured. A measurement reporting method for a communication system, the communication system including a terminal and network equipment, the method comprising: The network device sends first configuration information, which is used to configure the terminal to perform measurement and / or measurement reporting. The network device sends first information, which is used to indicate the artificial intelligence (AI) capability corresponding to at least one target to be tested; wherein the target to be tested is configured by the first configuration information. The terminal receives the first configuration information; The terminal receives the first information; The terminal determines whether to measure and report the target under test based on its AI requirements and AI capabilities. A terminal, characterized in that, include: The transceiver module is used to receive first configuration information, which is used to configure the terminal to perform measurement and / or measurement reporting. The transceiver module is further configured to receive first information, which indicates the artificial intelligence (AI) capability corresponding to at least one target to be tested; wherein the target to be tested is configured by the first configuration information. The processing module is used to determine whether to measure and report the target under test based on the AI ​​requirements and AI capabilities of the terminal. A network device, characterized in that, include: The transceiver module is used to send first configuration information, which is used to configure the terminal to perform measurement and / or measurement reporting. The transceiver module is further configured to send first information, which indicates the artificial intelligence (AI) capability corresponding to at least one target to be tested; wherein the target to be tested is configured by the first configuration information. A communication device, characterized in that, include: One or more processors; A memory coupled to the processor, the memory storing instructions that, when executed by the processor, cause the communication device to perform the method of any one of claims 1 to 31 or claims 32 to 48. A communication system, characterized in that, The device includes a terminal and a network device, wherein the terminal is configured to implement the method of any one of claims 1 to 31, and the network device is configured to implement the method of any one of claims 32 to 48. A storage medium storing instructions, characterized in that, When the instructions are executed on a communication device, the communication device performs the method as claimed in any one of claims 1 to 31 or claims 32 to 48. A program product, characterized in that, It includes a computer program that, when executed by a communication device, implements the method as described in any one of claims 1 to 31 or 32 to 48.

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