Data collection method and apparatus, computer readable storage medium

Abstract

The present disclosure relates to a data collection method and device, a computer readable storage medium, and relates to the technical field of communication. The data collection method is executed by a first network element, comprising: receiving indication signaling sent by a second network element, wherein the indication signaling is used to indicate to start a negotiation process of a wireless intelligent air interface data collection framework; according to the indication signaling, sending capability and configuration information of the first network element to the second network element, wherein the capability and configuration information comprises a wireless intelligent air interface data collection framework supported by the first network element; receiving selection of the wireless intelligent air interface data collection framework sent by the second network element; and sending feedback of the selection to the second network element. According to the present disclosure, efficient negotiation of the wireless intelligent air interface data collection framework is realized.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of communication, in particular to a data collection method and device, and a computer readable storage medium. BACKGROUND

[0002] Wireless AI (Artificial Intelligence) is a technology of fusion of wireless air interface and AI. 3GPP Rel-18 studies the key technologies of wireless AI air interface, which is currently in the initial stage of discussing the technical framework, and the life cycle management includes model training, model inference, model monitoring and data collection.

[0003] At present, data acquisition is expensive and scarce in the wireless communication environment, and the enhancement of AI-based wireless air interface transmission technology relies on high-quality and large amounts of data driving. Therefore, the data of wireless AI has an important influence on the performance of AI-enabled wireless network intelligent technology. SUMMARY

[0004] According to a first aspect of the present disclosure, a data collection method is provided, executed by a first network element, comprising: receiving indication signaling sent by a second network element, wherein the indication signaling is used to indicate that a negotiation process of a wireless intelligent air interface data collection framework is started; according to the indication signaling, sending capability and configuration information of the first network element to the second network element, wherein the capability and configuration information includes a wireless intelligent air interface data collection framework supported by the first network element; receiving selection of the wireless intelligent air interface data collection framework sent by the second network element; sending feedback to the selection to the second network element.

[0005] In some embodiments, the indication signaling includes data collection configuration information, and the data collection configuration information includes at least one of the following: a trigger mode of data collection, the trigger mode being at least one of event triggering, periodic triggering, semi-persistent triggering or aperiodic triggering; and data collection auxiliary information used to indicate a purpose of wireless intelligent air interface data collection.

[0006] In some embodiments, the event triggering includes at least one of a training failure event of a model, a retraining event, and a performance degradation event.

[0007] In some embodiments, the data collection configuration information further includes a wireless intelligent air interface data collection framework specified by the second network element, and according to the indication signaling, sending the capability and configuration information of the first network element to the second network element includes: in a case where the first network element does not agree with the specified wireless intelligent air interface data collection framework, sending the capability and configuration information of the first network element to the second network element.

[0008] In some embodiments, the capability and configuration information further comprises at least one of: capability information of the first network element itself; data type supported by the first network element; specific service information supported by the first network element, the specific service information comprising at least one of training, inference and monitoring information of the model.

[0009] In some embodiments, the capability and configuration information further comprises priority information of a collection framework of wireless intelligent air interface data supported by the first network element.

[0010] In some embodiments, the feedback comprises: confirmation information indicating that the first network element agrees with the collection framework of wireless intelligent air interface data selected by the second network element, or reselection information indicating that the first network element does not agree with the collection framework of wireless intelligent air interface data selected by the second network element, and the reselection information comprises a collection framework of wireless intelligent air interface data selected by the first network element.

[0011] In some embodiments, the first network element is one of a location management function network element, an operation management and maintenance network element, another network element of a core network, a user equipment, and a base station; and the second network element is one of a location management function network element, an operation management and maintenance network element, another network element of a core network, a user equipment, and a base station.

[0012] In some embodiments, the collection framework of wireless intelligent air interface data comprises at least one of: a physical layer measurement based reporting, a radio resource control layer measurement based reporting, a minimization of drive test measurement based reporting, a user equipment assistance information based reporting, a long term evolution technology positioning protocol based reporting, and an enhanced variable exchange format based data collection framework.

[0013] According to a second aspect of the present disclosure, a data collection apparatus is provided, comprising: a first receiving unit configured to receive indication signaling sent by a second network element, wherein the indication signaling is used to indicate that a negotiation process of a collection framework of wireless intelligent air interface data is started; a first sending unit configured to send capability and configuration information of the first network element to the second network element according to the indication signaling, wherein the capability and configuration information comprises a collection framework of wireless intelligent air interface data supported by the first network element; a second receiving unit configured to receive selection of the collection framework of wireless intelligent air interface data sent by the second network element; and a second sending unit configured to send feedback of the selection to the second network element.

[0014] According to a third aspect of the present disclosure, a data collection apparatus is provided, comprising: a memory; and a processor coupled to the memory, the processor being configured to execute a data collection method according to any of the embodiments of the present disclosure based on instructions stored in the memory.

[0015] According to a fourth aspect of the present disclosure, there is provided a computer readable storage medium having computer program instructions stored thereon, which when executed by a processor, implement the data collection method according to any of the embodiments of the present disclosure. BRIEF DESCRIPTION OF DRAWINGS

[0016] The accompanying drawings, which form a part of the specification, illustrate embodiments of the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0017] The present disclosure can be more clearly understood with reference to the following detailed description when considered in conjunction with the following drawings, in which:

[0018] Figure 1 A flow chart illustrating a data collection method according to some embodiments of the present disclosure is shown;

[0019] Figure 2a A schematic diagram illustrating a triggering manner according to some embodiments of the present disclosure is shown;

[0020] Figure 2b A schematic diagram illustrating a triggering manner according to some other embodiments of the present disclosure is shown;

[0021] Figure 2c A schematic diagram illustrating a triggering manner according to some other embodiments of the present disclosure is shown;

[0022] Figure 3 An interaction diagram illustrating a data collection method according to some embodiments of the present disclosure is shown;

[0023] Figure 4 A block diagram illustrating a data collection apparatus according to some embodiments of the present disclosure is shown;

[0024] Figure 5 A block diagram illustrating a data collection apparatus according to some other embodiments of the present disclosure is shown;

[0025] Figure 6 A block diagram illustrating a computer system for implementing some embodiments of the present disclosure is shown. DETAILED DESCRIPTION

[0026] Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that the relative arrangement of the components and steps set forth in these embodiments, numerical expressions, and numerical values are not intended to limit the scope of the present disclosure unless specifically stated otherwise.

[0027] It should be understood, however, that the sizes of the components shown in the drawings are not intended to bear any relationship to actual sizes of the components.

[0028] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the scope of the present disclosure and its applications or uses.

[0029] Techniques, methods, and devices known to those of ordinary skill in the relevant art can not be discussed in detail herein. However, where appropriate, such techniques, methods, and devices can be considered part of the present disclosure.

[0030] In all of the compositions and methods shown and discussed herein, any specific values should be interpreted as merely exemplary, and are not to be interpreted as a limitation. Other examples of the exemplary embodiments can have different values.

[0031] It should be noted that like reference numerals and letters in the various figures indicate similar items, and thus, once an item is defined in one figure, it should not require further discussion in subsequent figures.

[0032] The related proposals of 3GPP have not involved the negotiation process and triggering mechanism of the collection method based on wireless intelligent air interface data, and have not involved the related signaling process and the interaction design among multiple network elements, which makes it difficult to manage the life cycle of the artificial intelligence model.

[0033] Figure 1 A flowchart of a data collection method according to some embodiments of the present disclosure is shown.

[0034] As shown in Figure 1 The data collection method includes steps S1-S4. In some embodiments, the data collection method is performed by a first network element.

[0035] In step S1, an indication signaling sent by a second network element is received, where the indication signaling is used to indicate the start of a negotiation process of a collection framework of wireless intelligent air interface data. The first network element is, for example, a user equipment (UE), and the second network element is, for example, a base station (gNB). The user equipment receives the signaling sent by the base station.

[0036] In some embodiments, the indication signaling is used to indicate the UE to start the data negotiation process in the model training / model inference / model monitoring process. The indication signaling is, for example, at least one of a system message, RRC (Radio Resource Control) signaling, MAC CE (mac control element) signaling, DCI (Downlink Control Information) signaling, and NAS signaling (Non Access Stratum).

[0037] In some embodiments, the first network element is one of a location management function network element, an operation management and maintenance network element, another network element of a core network, a user equipment, a base station; and the second network element is one of the location management function network element, the operation management and maintenance network element, the another network element of the core network, the user equipment, the base station.

[0038] For example, the first network element or the second network element can also be at least one of an LMF (Location Management Function), an OAM (Operations Administration and Maintenance), another network element of a CN (Core Network), and a UE (User Equipment). The base station includes two functional entities of a gNB-CU (gNB-centralized unit) and a gNB-DU (gNB-distributed unit). The data collection method of the present disclosure supports extension to negotiation of data collection among multiple network elements of a gNB, an OAM, an LMF, a UE, and a CN, supports life cycle management of an artificial intelligence model based on federated learning among gNBs, supports OAM-assisted AI air interface technology enhancement, has a simple process, and has a wide range of applicable technologies.

[0039] In some embodiments, the indication signaling includes data collection configuration information, and the data collection configuration information includes at least one of a triggering mode of data collection, the triggering mode being an event trigger, a periodic trigger, a semi-persistent trigger, or an aperiodic trigger; and data collection assistance information for indicating a purpose of wireless intelligent air interface data collection.

[0040] For example, the signaling carries data collection configuration information, and the data collection configuration information is applicable to negotiation management of a data collection method for AI-driven wireless intelligent network model training, model monitoring, and model inference.

[0041] The data collection assistance information is used to indicate a requirement of data collection, that is, a purpose of data collection, for example, at least one of model training, model inference, and model monitoring. Data collection requirements for different life cycle processes of an artificial intelligence model, such as model training, model inference, and model monitoring, are different. Through interaction of the purpose of data collection, it is convenient to negotiate a suitable data collection signaling framework for different data collection requirements.

[0042] Figure 2a A schematic diagram of a triggering mode according to some embodiments of the present disclosure is shown.

[0043] Figure 2aPeriodic trigger, configured by RRC signaling, no need to be triggered by gNB again, after RRC signaling configuration, start periodic measurement and reporting. CSI-RS in the figure represents Channel State Information reference signal.

[0044] Figure 2b A schematic diagram showing the trigger mode according to some other embodiments of the present disclosure is shown.

[0045] Figure 2b Semi-persistent trigger, periodic, and the difference between periodic trigger is that semi-persistent trigger mode needs to be triggered by gNB. After RRC signaling configuration of basic information, it is necessary to wait for gNB to send trigger information before UE can periodically measure and send. No need to report before receiving trigger signaling.

[0046] Figure 2c A schematic diagram showing the trigger mode according to some other embodiments of the present disclosure is shown.

[0047] Figure 2c Aperiodic trigger, configured by RRC signaling, gNB triggers once, UE reports once.

[0048] In some embodiments, the event trigger includes at least one of a model training failure event, a model retraining event, and a model performance decline event. That is, in addition to the existing trigger mode, an event trigger in the training process of the artificial intelligence model is added, enabling the interaction and negotiation of data trigger mode between network elements.

[0049] In some embodiments, the data collection configuration information further includes a collection framework of wireless intelligent air interface data specified by the second network element, and the capability and configuration information of the first network element is sent to the second network element according to the indication signaling, including: in the case where the first network element does not agree to the specified collection framework of wireless intelligent air interface data, the capability and configuration information of the first network element is sent to the second network element.

[0050] For example, the base station can also indicate the required collection framework of wireless intelligent air interface data in the indication signaling, and if the user equipment does not agree, continue to negotiate.

[0051] In some embodiments, the collection framework of the wireless intelligent air interface data includes at least one of the following: at least one of a L1 (physical layer) measurement reporting, a radio resource control layer (RRC) measurement reporting, a MDT (Minimization Drive Test) measurement reporting, a UAI (UE Assistance Information) reporting, a LPP (LTE Positioning Protocol) signaling, and an EVEX (Enhanced Variable Exchange Format) based data collection framework. The MDT includes a logged MDT (Logged MDT) and an immediate MDT (Immediate MDT).

[0052] In step S2, the capability and configuration information of the first network element is sent to the second network element according to the indication signaling, wherein the capability and configuration information includes a collection framework of wireless intelligent air interface data supported by the first network element.

[0053] In some embodiments, the capability and configuration information further includes at least one of the following: capability information of the first network element itself; data types supported by the first network element; and specific service information supported by the first network element, the specific service information including at least one of model training, inference, and monitoring information.

[0054] The capability information of the first network element itself refers to battery capacity, power consumption, storage capability, processing capability, etc. of the first network element, which can potentially affect the selection of data collection methods and data size types. The data type is, for example, CSI feedback enhancement, and the data type is a feature vector or a full channel matrix. The UE specific service information refers to different UE service requirements, such as at least one of model training information, inference information, and monitoring information. By reporting the capability information and data types, etc. by the first network element, sufficient information can be provided to the base station for judgment.

[0055] According to some embodiments of the present disclosure, a first network element assisted data collection negotiation mechanism is supported, and by actively sending capability and configuration information by the first network element, service characteristics are imported, the base station selects a data framework according to service information, capability information, and data types, and the collaborative optimization of network services is realized.

[0056] In some embodiments, the capability and configuration information further includes priority information of the collection framework of the wireless intelligent air interface data supported by the first network element. For example, when the user equipment reports the capability information, in addition to reporting the data transmission method supported by the user equipment, the user equipment also recommends the preferred data collection method to the base station, so as to reduce the case that the user equipment does not agree after the base station selects the collection framework.

[0057] In step S3, the second network element sends a selection of the collection framework of the wireless intelligent air interface data.

[0058] For example, the gNB selects the collection framework of the wireless intelligent air interface data according to the capability and configuration reported by the UE and in combination with its own needs, and informs the user equipment.

[0059] In step S4, feedback is sent to the second network element.

[0060] In some embodiments, the feedback on the selection includes confirmation information indicating that the first network element agrees with the collection framework of the wireless intelligent air interface data selected by the second network element, or reselection information indicating that the first network element does not agree with the collection framework of the wireless intelligent air interface data selected by the second network element, and the reselection information includes the collection framework of the wireless intelligent air interface data selected by the first network element.

[0061] For example, if the user equipment agrees with the collection framework of the wireless intelligent air interface data selected by the base station, an acknowledgement message is returned, and if the user equipment does not agree with the collection framework of the wireless intelligent air interface data selected by the second network element, the user equipment informs the base station of the collection framework of the wireless intelligent air interface data selected by itself, so as to achieve sufficient negotiation.

[0062] Figure 3 An interaction diagram of a data collection method according to some embodiments of the present disclosure is shown.

[0063] As shown in Figure 3 After the data collection flow is triggered, the gNB sends a message to the UE, and the message carries indication signaling of negotiation start, which is used to instruct the UE to start the data collection flow of model training, model inference, and model monitoring process

[0064] The UE reports its own capability and its own supported data collection related configuration to the gNB, and the capability and configuration information is used to indicate the collection framework of the wireless intelligent air interface data currently supported by the UE, including at least one of L1 signaling, L3 signaling, MDT signaling, UAI signaling, LPP signaling, and EVEX signaling.

[0065] The gNB sends an indication message of the data method to the UE, and the message carries the selection result of the data collection framework on the gNB side, and the gNB selects one of them according to the capability and configuration reported by the UE and in combination with its own situation.

[0066] The UE sends a feedback message to the gNB, and the feedback message carries an ACK (Acknowledgement) or feedback of the data collection method selected by the UE itself.

[0067] According to some embodiments of the present disclosure, data collection configuration information is supported by signaling to enable interaction and negotiation of data collection capabilities between network elements, different data collection signaling frameworks are adopted by negotiation according to different capabilities of network elements, data collection requirements of different life cycle processes such as latency and data size requirements are met, thereby improving the quality of data set and the performance of model, and filling the gap of 3GPP standard.

[0068] Figure 4 A block diagram of a data collection apparatus according to some embodiments of the present disclosure is shown.

[0069] As shown in Figure 4 , the data collection apparatus 4 includes a first receiving unit 41, a first sending unit 42, a second receiving unit 43 and a second sending unit 44.

[0070] The first receiving unit 41 is configured to receive indication signaling sent by the second network element, wherein the indication signaling is used to indicate to start a negotiation process of a collection framework of wireless intelligent air interface data, and the negotiation process includes steps such as Figure 1 as shown in step S1.

[0071] The first sending unit 42 is configured to send capability and configuration information of the first network element to the second network element according to the indication signaling, wherein the capability and configuration information includes a collection framework of wireless intelligent air interface data supported by the first network element, and the negotiation process includes steps such as Figure 1 as shown in step S2.

[0072] The second receiving unit 43 is configured to receive selection of the collection framework of the wireless intelligent air interface data sent by the second network element, and the negotiation process includes steps such as Figure 1 as shown in step S3.

[0073] The second sending unit 44 is configured to send feedback to the second network element, and the negotiation process includes steps such as Figure 1 as shown in step S4.

[0074] In some embodiments, the indication signaling includes data collection configuration information, and the data collection configuration information includes at least one of the following: a trigger mode of data collection, the trigger mode being at least one of event triggering, periodic triggering, semi-persistent triggering or aperiodic triggering; and data collection auxiliary information used to indicate the purpose of wireless intelligent air interface data collection.

[0075] In some embodiments, the event triggering includes at least one of a training failure event of a model, a retraining event, and a performance degradation event.

[0076] In some embodiments, the data collection configuration information further comprises a collection framework of the wireless intelligent air interface data specified by the second network element, and the sending of the capability and configuration information of the first network element to the second network element according to the indication signaling comprises: in a case where the first network element does not agree with the specified collection framework of the wireless intelligent air interface data, sending the capability and configuration information of the first network element to the second network element.

[0077] In some embodiments, the capability and configuration information further comprises at least one of the following: capability information of the first network element itself; a data type supported by the first network element; and specific service information supported by the first network element, the specific service information comprising at least one of training, inference and monitoring information of a model.

[0078] In some embodiments, the capability and configuration information further comprises priority information of a collection framework of the wireless intelligent air interface data supported by the first network element.

[0079] In some embodiments, the feedback comprises: confirmation information indicating that the first network element agrees with the collection framework of the wireless intelligent air interface data selected by the second network element, or reselection information indicating that the first network element does not agree with the collection framework of the wireless intelligent air interface data selected by the second network element, and the reselection information comprises a collection framework of the wireless intelligent air interface data selected by the first network element.

[0080] In some embodiments, the first network element is one of a location management function network element, an operation management and maintenance network element, another network element of a core network, a user equipment, and a base station; and the second network element is one of the location management function network element, the operation management and maintenance network element, the another network element of the core network, the user equipment, and the base station.

[0081] In some embodiments, the collection framework of the wireless intelligent air interface data comprises at least one of the following: a data collection framework based on physical layer measurement reporting, a data collection framework based on radio resource control layer measurement reporting, a data collection framework based on minimization of drive test measurement reporting, a data collection framework based on user equipment assistance information, a data collection framework based on long term evolution technology positioning protocol, and a data collection framework based on enhanced variable exchange format.

[0082] Figure 5 A block diagram of a data collection apparatus according to some other embodiments of the present disclosure is shown.

[0083] As Figure 5 shown, the data collection apparatus 5 comprises a memory 51 for storing a data collection method, and a processor 52 coupled to the memory 51. The processor 52 is configured to execute the data collection method in any of the embodiments of the present disclosure based on instructions stored in the memory 51.

[0084] Figure 6 A block diagram of a computer system for implementing some embodiments of the present disclosure is shown.

[0085] AsFigure 6 As shown, computer system 60 can be in the form of a general- purpose computing device. Computer system 60 includes memory 610, processor 620, and bus 600 that couples various system components including the memory 610 to the processor 620.

[0086] The memory 610 can include, for example, system memory, non-volatile storage media, and / or the like. The system memory can store, among other things, an operating system, application programs, a Boot Loader, and other programs. The system memory can include volatile storage media, such as random access memory (RAM) and / or cache memory. The non-volatile storage media can store, among other things, instructions to implement data collection methods in any of the embodiments disclosed herein. The non-volatile storage media includes, but is not limited to, magnetic storage media, optical storage media, flash memory, and / or the like.

[0087] The processor 620 can be implemented with a general purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field

[0088] The bus 600 can use any of a variety of bus structures, including, but not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus.

[0089] The computer system 60 can also include input / output interface 630, network interface 640, storage interface 650, and the like. These interfaces 630, 640, 650, and the memory 610 and processor 620 can be connected by the bus 600. The input / output interface 630 can provide a connection interface for display, mouse, keyboard, and other input / output devices. The network interface 640 provides a connection interface for various networking devices. The storage interface 650 provides a connection interface for external storage devices such as floppy disks, U disks, SD cards, and the like.

[0090] Here, various aspects of the disclosure are described with reference to flowcharts and / or block diagrams of methods, apparatuses, and computer program products according to embodiments of the disclosure. It should be understood that each block of the flowcharts and / or block diagrams can be implemented by computer readable program instructions.

[0091] These computer readable program instructions can be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart and / or block diagram block or blocks.

[0092] These computer readable program instructions can also be loaded onto a computer, other programmable data processing apparatus, or other device to cause a series of operational steps to be performed on the computer, other programmable apparatus or other device to produce a computer implemented process, such that the instructions which execute on the computer, other programmable data processing apparatus, or other device implement the functions specified in the flowchart and / or block diagram block or blocks.

[0093] The present disclosure can take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment containing both software and hardware aspects.

[0094] By means of the data collection method and device, and the computer readable storage medium in the above embodiments, efficient negotiation of the wireless intelligent air interface data collection framework is achieved according to the capability of the first network element.

[0095] Thus far, the data collection method and device, and the computer readable storage medium according to the present disclosure have been described in detail. In order to avoid obscuring the concept of the present disclosure, some details well known in the art are not described. Those skilled in the art can fully understand how to implement the technical solutions disclosed herein according to the above description.

Claims

1. A data collection method, performed by a first network element, comprising: Receiving indication signaling sent by a second network element, wherein the indication signaling is used to indicate the initiation of a negotiation process for a collection framework for wireless intelligent air interface data, the indication signaling includes data collection configuration information, the data collection configuration information includes a collection framework for wireless intelligent air interface data specified by the second network element, and the collection framework for wireless intelligent air interface data includes at least one of the following: a data collection framework based on physical layer measurement reporting, a data collection framework based on radio resource control layer measurement reporting, a data collection framework based on minimization of drive test measurement reporting, a data collection framework based on user equipment auxiliary information, a data collection framework based on a long term evolution technology positioning protocol, and a data collection framework based on an enhanced variable exchange format; Sending, according to the instruction signaling, capability and configuration information of the first network element to the second network element, including: if the first network element does not agree to the specified wireless intelligent air interface data collection framework, sending the capability and configuration information of the first network element to the second network element, wherein the capability and configuration information includes the wireless intelligent air interface data collection framework supported by the first network element; receiving a selection of a collection framework for the wireless intelligent air interface data sent by the second network element; Feedback on the selection is sent to the second network element.

2. The data collection method according to claim 1, wherein: The data collection configuration information also includes at least one of the following: The triggering mode for data collection is event-triggered, periodic, semi-persistent or aperiodic; Data collection auxiliary information is used to indicate the purpose of wireless intelligent air interface data collection.

3. The data collection method according to claim 2, wherein: The event trigger includes at least one of a model training failure event, a retraining event, and a performance degradation event.

4. The data collection method according to claim 1, wherein: The capability and configuration information also includes at least one of the following: capability information of the first network element itself; data types supported by the first network element; The specific service information supported by the first network element includes at least one of model training, reasoning and monitoring information.

5. The data collection method according to claim 1, wherein: The capability and configuration information also includes priority information of a collection framework of wireless intelligent air interface data supported by the first network element.

6. The data collection method according to claim 1, wherein: The feedback includes: Confirmation information, indicating that the first network element agrees with the wireless intelligent air interface data collection framework selected by the second network element, or The reselection information indicates that the first network element disagrees with the collection framework of the wireless intelligent air interface data selected by the second network element, and the reselection information includes the collection framework of the wireless intelligent air interface data selected by the first network element.

7. The data collection method according to claim 1, wherein: The first network element is one of a positioning management function network element, an operation management and maintenance network element, other network elements of the core network, a user equipment, and a base station; The second network element is one of a positioning management function network element, an operation management and maintenance network element, other network elements of the core network, user equipment, and a base station.

8. A data collection device comprising: A first receiving unit is configured to receive an indication signaling sent by a second network element, wherein the indication signaling is used to indicate the start of a negotiation process for a collection framework of wireless intelligent air interface data, the indication signaling includes data collection configuration information, the data collection configuration information includes a collection framework for wireless intelligent air interface data specified by the second network element, and the collection framework for wireless intelligent air interface data includes at least one of the following: a data collection framework based on physical layer measurement reporting, a data collection framework based on radio resource control layer measurement reporting, a data collection framework based on minimized drive test measurement reporting, a data collection framework based on user equipment auxiliary information, a data collection framework based on a long term evolution technology positioning protocol, and an enhanced variable exchange format; The first sending unit is configured to send capability and configuration information of the first network element to the second network element according to the indication signaling, including: if the first network element does not agree to the specified wireless intelligent air interface data collection framework, sending the capability and configuration information of the first network element to the second network element, wherein the capability and configuration information includes the wireless intelligent air interface data collection framework supported by the first network element; The second receiving unit is configured to receive a selection of a collection framework for wireless intelligent air interface data sent by a second network element; The second sending unit is configured to send feedback on the selection to the second network element.

9. A data collection device comprising: Memory; as well as A processor coupled to the memory, wherein the processor is configured to execute the data collection method according to any one of claims 1 to 7 based on instructions stored in the memory.

10. A computer-readable storage medium having computer program instructions stored thereon, wherein when the instructions are executed by a processor, the data collection method according to any one of claims 1 to 7 is implemented.

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