CN111901135A

CN111901135A - Data analysis method and device

Info

Publication number: CN111901135A
Application number: CN201910368610.XA
Authority: CN
Inventors: 崇卫微; 辛阳; 吴晓波
Original assignee: Huawei Technologies Co Ltd
Current assignee: Huawei Technologies Co Ltd
Priority date: 2019-05-05
Filing date: 2019-05-05
Publication date: 2020-11-06
Anticipated expiration: 2039-05-05
Also published as: CN111901135B; WO2020224463A1

Abstract

The embodiment of the application provides a data analysis method and device. The method comprises the following steps: the data analysis network element can acquire one or more network element types corresponding to a specific data analysis type based on the corresponding relation between the stored data analysis type and the network element type, and acquire data from network element examples corresponding to the network element types for training, so that a data analysis result is obtained, the network element example for providing a data source to be analyzed is determined, and the efficiency and the accuracy of data analysis are improved.

Description

Data analysis method and device

Technical Field

The present application relates to the field of mobile communications technologies, and in particular, to a data analysis method and apparatus.

Background

To address the challenges of wireless broadband technology, and to maintain the leading advantages of 3rd Generation partnership Project (3 GPP) networks, the 3GPP standards group has established a Next Generation mobile communication network architecture (Next Generation System), which may also be referred to as a 5-Generation (5G) network architecture. In the 5G architecture, a NetWork Data Analysis Function (NWDAF) NetWork element is introduced. The NWDAF network element provides an analysis function of network data. The NWDAF network elements may provide different types of data analysis results and be identified by the type of data analysis (e.g., analysis ID). However, the prior art does not provide a solution for the NWDAF network element to obtain different types of data analysis results.

Disclosure of Invention

The application provides a data analysis method, a data analysis device, a data analysis system, a data analysis network element and a storage medium, which are used for providing a scheme for the data analysis network element to obtain different types of data analysis results.

In a first aspect, the present application provides a data analysis method, including: the method comprises the steps that a data analysis network element determines a first set of network element types corresponding to a data analysis type to be analyzed, wherein the first set comprises one or more network element types; the data analysis network element acquires first network element information corresponding to the first set from the network warehouse function network element; the data analysis network element acquires first data from a network element corresponding to the first network element information; and the data analysis network element obtains a first data analysis result according to the first data. Based on the scheme, the data analysis network element can acquire one or more network element types corresponding to the specific data analysis type based on the corresponding relation between the data analysis type and the network element type, and acquire data from the network element examples corresponding to the network element types for training, so that a data analysis result is obtained, the network element example for providing the data source to be analyzed is determined, and the efficiency and the accuracy of data analysis are improved.

In a possible implementation method, determining, by a data analysis network element, a first set of network element types corresponding to a data analysis type to be analyzed includes: and the data analysis network element determines a first set corresponding to the data analysis type according to the corresponding relation between the data analysis type and the first set. Based on the scheme, the corresponding relation between the data analysis type and the first set is stored in advance, so that the first set corresponding to the data analysis type can be determined.

In a possible implementation method, a data analysis network element determines a second set of network element types corresponding to data analysis types according to a first data analysis result, wherein the second set comprises one or more network element types, and the second set is different from the first set; and the data analysis network element updates the network element type corresponding to the data analysis type from the first set to the second set. Based on the scheme, the corresponding relation between the data analysis type and the network element type can be dynamically updated, so that the network element type corresponding to the data analysis type can be more accurately determined.

In a possible implementation method, determining, by a data analysis network element, a second set of network element types corresponding to data analysis types according to a first data analysis result includes: the data analysis network element determines the second set corresponding to the data analysis type and the screening information according to the first data analysis result; the updating, by the data analysis network element, the network element type corresponding to the data analysis type from the first set to the second set specifically includes: and the data analysis network element updates the network element type corresponding to the data analysis type and the screening information from the first set to the second set.

In a possible implementation method, a data analysis network element determines a third set of data types corresponding to data analysis types, where the third set includes one or more data types; the data analysis network element acquires first data from a network element corresponding to the first network element information, and the method comprises the following steps: and the data analysis network element acquires the first data corresponding to the third set from the network element corresponding to the first network element information. Based on the scheme, the data analysis network element can acquire one or more data types corresponding to the specific data analysis type based on the corresponding relation between the data analysis type and the data type, and acquire the data corresponding to the data types from the network element example for training, so that a data analysis result is obtained, the data to be analyzed is determined, and the efficiency and the accuracy of data analysis are improved.

In a possible implementation method, the determining, by a data analysis network element, a first set of network element types corresponding to a data analysis type to be analyzed specifically includes: and the data analysis network element determines the first set according to the third set. That is, the data analysis network element determines a third set corresponding to the data analysis type, and then determines the first set according to the third set, that is, the data analysis network element may store a correspondence between the data type and the network element type, so that the first set may be determined according to the data type in the third set.

In a possible implementation method, a data analysis network element determines a fourth set of data types corresponding to data analysis types according to a first data analysis result, wherein the fourth set comprises one or more data types, and the fourth set is different from the third set; and the data analysis network element updates the data type corresponding to the data analysis type from the third set to the fourth set. Based on the scheme, the corresponding relation between the data analysis type and the data type can be dynamically updated, so that the data type corresponding to the data analysis type can be more accurately determined.

In one possible implementation, the data analysis network element determines a first network element type, the first network element type being included in the first set but not in the second set; and the data analysis network element sends a subscription cancellation request message to the network element corresponding to the first network element type, wherein the subscription cancellation request message is used for requesting to cancel the data subscription of the network element corresponding to the first network element type. Based on the scheme, the network element type irrelevant to the data analysis type can be cancelled, so that resources can be saved.

In one possible implementation, the data analysis network element determines a second network element type, the second network element type being included in the second set but not in the first set; and the data analysis network element acquires second network element information corresponding to the second network element type from the network warehouse function network element.

In a possible implementation method, the data analysis network element obtains second data from a network element corresponding to the second network element information; and the data analysis network element analyzes the first data and the second data to obtain a second data analysis result. Based on the scheme, data can be newly added for data analysis, so that the accuracy of a data analysis result can be improved.

In one possible implementation method, a data analysis network element receives a request message from a first network element, the request message including a data analysis type and screening information; the method for determining the first set of network element types corresponding to the data analysis type to be analyzed by the data analysis network element comprises the following steps: the data analysis network element determines a first set corresponding to the data analysis type and the screening information. Based on the scheme, the data used for providing the data analysis can be determined based on the screening information, and the required data analysis result can be conveniently obtained.

In a possible implementation method, a data analysis network element receives a request message from a first network element, where the request message includes a data analysis type and screening information, and the request message is used to request to obtain a data analysis result corresponding to the data analysis type and the screening information; the data analysis network element acquires first network element information corresponding to the first set from the network warehouse function network element, and the method comprises the following steps: the data analysis network element sends a network element discovery request message to the network warehouse function network element, wherein the network element discovery request message comprises a first set and screening information; the data analysis network element receives a network element discovery response message from the network repository function network element, the network element discovery response message including first network element information corresponding to the first set and the screening information.

In a possible implementation method, the data analysis network element sends a first data analysis result to the first network element.

In a possible implementation method, the data analysis network element determines a second data type, which is included in the fourth set but not in the third set; and the data analysis network element sends a subscription request message to the network element corresponding to the second data type, wherein the subscription request message is used for requesting data subscription corresponding to the second data type.

In a possible implementation method, determining, by a data analysis network element, a second set of network element types corresponding to data analysis types according to a first data analysis result includes: and the data analysis network element determines the second set according to the fourth set.

In a possible implementation method, the data analysis network element obtains third network element information corresponding to the second set from the network warehouse function network element; the data analysis network element acquires third data from a network element corresponding to the third network element information; and the data analysis network element analyzes the third data to obtain a third data analysis result.

In a possible implementation method, the data analysis network element determines a fifth set of network element types corresponding to the data analysis types according to a third data analysis result, wherein the fifth set comprises one or more network element types, and the fifth set is different from the second set; and the data analysis network element updates the network element type corresponding to the data analysis type from the second set to a fifth set.

In a possible implementation method, the acquiring, by a data analysis network element, first network element information corresponding to a first set from a network warehouse function network element includes: the data analysis network element sends a network element discovery request message to a network warehouse function network element, wherein the network element discovery request message comprises a first set; the data analysis network element receives a network element discovery response message from the network warehouse function network element, wherein the network element discovery response message comprises first network element information corresponding to the first set.

In one possible implementation, the data analysis network element determines a first data type, the first data type being included in the third set but not in the fourth set; and the data analysis network element sends a subscription cancellation request message to the network element corresponding to the first data type, wherein the subscription cancellation request message is used for requesting to cancel the data subscription corresponding to the first data type.

In a second aspect, the present application provides a data analysis apparatus, which may be a data analysis network element, and may also be a chip for the data analysis network element. The apparatus has the function of implementing the embodiments of the first aspect described above. The function can be realized by hardware, and can also be realized by executing corresponding software by hardware. The hardware or software includes one or more modules corresponding to the functions described above.

In a third aspect, the present application provides a data analysis apparatus comprising: a processor and a memory; the memory is for storing computer executable instructions which, when run by the apparatus, are executable by the processor to cause the apparatus to perform the method as described in any of the above first aspects.

In a fourth aspect, the present application provides a data analysis apparatus comprising: comprising means or units for performing the steps of the first aspect as described above.

In a fifth aspect, the present application provides a data analysis apparatus comprising a processor and an interface circuit, the processor being configured to communicate with other apparatus via the interface circuit and to perform the method of any of the first aspects described above. The processor includes one or more.

In a sixth aspect, the present application provides a data analysis apparatus, comprising a processor, connected to a memory, for calling a program stored in the memory to execute the method of any of the first aspect. The memory may be located within the device or external to the device. And the processor includes one or more.

In a seventh aspect, the present application further provides a computer-readable storage medium having stored therein instructions, which, when executed on a computer, cause the processor to perform the method of the first aspect and any embodiments thereof.

In an eighth aspect, the present application also provides a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of any of the first aspects described above.

In a ninth aspect, the present application further provides a chip system, including: a processor configured to perform the method of any of the first aspects above.

In a tenth aspect, the present application further provides a data analysis system, including a network warehouse function network element and a data analysis apparatus for performing any embodiment of the first aspect.

Drawings

FIG. 1A is a schematic diagram of a 5G network architecture based on a service-oriented architecture;

FIG. 1B is a schematic diagram of a 5G network architecture based on a point-to-point interface;

FIG. 1C is a schematic diagram of a network architecture suitable for use in the present application;

FIG. 2 is a schematic diagram of a data analysis method provided herein;

FIG. 3 is a schematic diagram of another data analysis method provided herein;

FIG. 4 is a schematic diagram of another data analysis method provided herein;

FIG. 5 is a schematic diagram of another data analysis method provided herein;

FIG. 6 is a schematic diagram of a data analysis apparatus provided herein;

FIG. 7 is a schematic diagram of another data analysis apparatus provided herein;

fig. 8 is a schematic diagram of a data analysis system provided in the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more clear, the present application will be further described in detail with reference to the accompanying drawings. The particular methods of operation in the method embodiments may also be applied to apparatus embodiments or system embodiments. In the description of the present application, the term "plurality" means two or more unless otherwise specified.

Fig. 1A is a schematic diagram of a 5G network architecture based on a service-oriented architecture. The 5G network architecture shown in fig. 1A may include three parts, which are a terminal device part, a Data Network (DN) and an operator network part. The functions of some of the network elements will be briefly described below.

The operator network may include a network open function (NEF) network element, a Policy Control Function (PCF) network element, a Unified Data Management (UDM) network element, a network warehouse function (NRF) network element, AN Application Function (AF) network element, AN NWDAF network element, AN authentication server function (AUSF) network element, AN access and mobility management function (AMF) network element, a Session Management Function (SMF) network element, a radio access network ((radio) access network, (R) AN), and a user plane function (user plane function, UPF) network element, and the like. In the operator network described above, the parts other than the (radio) access network part may be referred to as core network parts. For convenience of description, the (R) AN will be referred to as RAN as AN example.

A terminal device, which may also be referred to as a User Equipment (UE), is a device having a wireless transceiving function, and may be deployed on a land, including indoors or outdoors, handheld or vehicle-mounted; can also be deployed on the water surface (such as a ship and the like); and may also be deployed in the air (e.g., airplanes, balloons, satellites, etc.). The terminal device may be a mobile phone (mobile phone), a tablet computer (pad), a computer with a wireless transceiving function, a Virtual Reality (VR) terminal, an Augmented Reality (AR) terminal, a wireless terminal in industrial control (industrial control), a wireless terminal in self driving (self driving), a wireless terminal in remote medical (remote medical), a wireless terminal in smart grid (smart grid), a wireless terminal in transportation safety (transportation safety), a wireless terminal in smart city (smart city), a wireless terminal in smart home (smart home), and the like.

The terminal device may establish a connection with the carrier network through an interface (e.g., N1, etc.) provided by the carrier network, and use data and/or voice services provided by the carrier network. The terminal device may also access the DN via an operator network, use operator services deployed on the DN, and/or services provided by a third party. The third party may be a service party other than the operator network and the terminal device, and may provide services such as data and/or voice for the terminal device. The specific expression form of the third party may be determined according to an actual application scenario, and is not limited herein.

The RAN is a sub-network of the operator network and is an implementation system between the service node and the terminal device in the operator network. The terminal device is to access the operator network, first through the RAN, and then may be connected to a service node of the operator network through the RAN. The RAN device in this application is a device that provides a wireless communication function for a terminal device, and the access network device includes but is not limited to: next generation base station (G node B, gNB), evolved node B (eNB), Radio Network Controller (RNC), Node B (NB), Base Station Controller (BSC), Base Transceiver Station (BTS), home base station (e.g., home evolved node B, or home node B, HNB), Base Band Unit (BBU), transmission point (TRP), Transmission Point (TP), mobile switching center, etc. in 5G.

The AMF network element is a control plane network element provided by an operator network and is responsible for access control and mobility management of terminal equipment accessing the operator network, for example, including functions of mobility state management, user temporary identity assignment, user authentication and authorization, and the like.

The SMF network element is a control plane network element provided by an operator network and is responsible for managing a Protocol Data Unit (PDU) session of the terminal device. A PDU session is a channel for transmitting PDUs, and a terminal device needs to transfer PDUs to and from the DN through the PDU session. The PDU session is established, maintained, deleted and the like by the SMF network element. SMF network elements include Session-related functions such as Session establishment, modification and release, including tunnel maintenance between UPF and AN, selection and control of UPF network elements, Service and Session Continuity (SSC) mode selection, roaming, etc.

The UPF network element is a gateway provided by an operator and is a gateway for the operator network to communicate with the DN. The UPF network element comprises user plane related functions such as data packet routing and transmission, packet detection, Service usage reporting, Quality of Service (QoS) processing, legal monitoring, uplink packet detection, downlink data packet storage and the like.

A DN, which may also be referred to as a Packet Data Network (PDN), is a network located outside an operator network, where the operator network may access multiple DNs, and multiple services may be deployed on the DNs, so as to provide services such as data and/or voice for a terminal device. For example, the DN is a private network of a certain intelligent factory, a sensor installed in a workshop of the intelligent factory can be a terminal device, a control server of the sensor is deployed in the DN, and the control server can provide services for the sensor. The sensor can communicate with the control server, obtain the instruction of the control server, transmit the sensor data gathered to the control server, etc. according to the instruction. For another example, the DN is an internal office network of a company, the mobile phone or computer of the employee of the company may be a terminal device, and the mobile phone or computer of the employee may access information, data resources, and the like on the internal office network of the company.

The UDM network element is a control plane network element provided by an operator, and is responsible for storing information such as a subscriber permanent identifier (SUPI), a credential (trusted identity), a security context (security context), and subscription data of a subscribed user in an operator network. These information stored by the UDM network element can be used for authentication and authorization of the terminal device to access the operator network. The subscriber of the operator network may be specifically a user using a service provided by the operator network, for example, a user using a mobile phone core card of china telecommunications, or a user using a mobile phone core card of china mobile, and the like. The above-mentioned Permanent Subscription Identifier (SUPI) of the subscriber may be the number of the mobile phone core card, etc. The credentials and security context of the subscriber may be a small file stored with an encryption key of the core card of the mobile phone or information related to encryption of the core card of the mobile phone, and used for authentication and/or authorization. The security context may be data (cookie) or token (token) stored on the user's local terminal (e.g., cell phone), etc. The subscription data of the subscriber may be a service associated with the mobile phone core card, such as a traffic package or a network using the mobile phone core card. It should be noted that the information related to the permanent identifier, the credentials, the security context, the authentication data (cookie), and the token equivalent authentication and authorization are not distinguished or limited in the present application for convenience of description. Unless otherwise specified, the embodiments of the present application will be described in the context of security, but the embodiments of the present application are also applicable to authentication, and/or authorization information in other expressions.

An AUSF network element is a control plane network element provided by an operator, and is generally used for primary authentication, i.e., authentication between a terminal device (subscriber) and an operator network. After receiving an authentication request initiated by a subscriber, the AUSF network element authenticates and/or authorizes the subscriber through authentication information and/or authorization information stored in the UDM network element, or generates authentication and/or authorization information of the subscriber through the UDM network element. The AUSF network element may feed back authentication information and/or authorization information to the subscriber.

The NEF network element is a control plane network element provided by an operator. The NEF network element opens the external interface of the operator network to the third party in a secure manner. When the SMF network element needs to communicate with a network element of a third party, the NEF network element may serve as a relay for the communication between the SMF network element and the network element of the third party. When the NEF network element is used as a relay, it can be used as a translation of the identification information of the subscriber and a translation of the identification information of the network element of the third party. For example, when NEF sends the SUPI of a subscriber from the carrier network to a third party, the SUPI may be translated into its corresponding external Identity (ID). Conversely, when the NEF element sends an external ID (the third party's element ID) to the operator network, it can be translated to SUPI.

An Application Function (AF) network element mainly provides Application layer services, and also supports interaction with a 5G core network to provide services, such as influencing data routing decisions, performing policy control functions, or providing some services of a third party to a network side.

PCF network elements are control plane functions provided by an operator to provide policies to network elements. As one implementation, the policy may include an access control policy, a mobility management policy, a charging related policy, a QoS related policy, an authorization related policy, and the like.

The NRF network element may be configured to provide a network element discovery function, and provide network element information corresponding to a network element type, such as address information and/or identification information, based on a request from another network element. NRF also provides network element management services such as network element registration, update, de-registration, and network element status subscription and push.

In fig. 1A, Nnef, Nausf, Npcf, Nudm, Naf, Namf, Nsmf, N1, N2, N3, N4, and N6 are interface serial numbers. The meaning of these interface sequence numbers can be referred to as that defined in the 3GPP standard protocol, and is not limited herein.

As shown in fig. 1B, the schematic diagram is a 5G network architecture based on a point-to-point interface, where introduction of functions of a network element may refer to introduction of functions of a corresponding network element in fig. 1A, and details are not described again. The main differences between fig. 1B and fig. 1A are: the interfaces between the various network elements in fig. 1B are point-to-point interfaces, rather than serviced interfaces.

In the architecture shown in fig. 1B, where the interface between the UE and the AMF network element is referred to as N1 interface, the interface between the AMF network element and the RAN device is referred to as N2 interface, the interface between the RAN device and the UPF network element may be referred to as N3 interface, the interface between the SMF network element and the UPF network element is referred to as N4 interface, the interface between the PCF network element and the AF network element is referred to as N5 interface, the interface between the UPF network element and the DN is referred to as N6 interface, the interface between the SMF network element and the PCF network element is referred to as N7 interface, the interface between the AMF network element and the UDM network element is referred to as N8 interface, the interface between the different UPF network elements is referred to as N9 interface, the interface between the UDM network element and the SMF network element is referred to as N10 interface, the interface between the AMF network element and the SMF network element is referred to as N11 interface, the interface between the AUSF network element and the amsf network element is referred to as N12 interface, the interface, the interface between the AMF network element and the PCF network element is called an N15 interface, and the interface between the NWDAF network element and the PCF network element is called an N23 interface.

Fig. 1C shows a possible network architecture to which the present application is applicable. The Network architecture includes a data analysis Network element and a Network Function (NF) Network element. In one possible implementation, the network architecture may also include a database.

The data analysis network element may be, for example, an NWDAF network element, and the data analysis network element may obtain data to be analyzed from other network elements (e.g., one or more of an SMF network element, a PCF network element, a RAN, a UPF network element, and an SMF network element shown in fig. 1A or fig. 1B), and then establish a data analysis model to obtain a data analysis result. The data analysis performed by the data analysis network element may be triggered based on a data analysis request or a subscription message sent by a certain consumer network element (for example, the consumer network element may be a Network Function (NF), a network management network element, an application server, a terminal, or the like), or triggered by the data analysis network element according to other conditions, such as periodic triggering, initial event triggering, or the like. After obtaining the data analysis result, the data analysis network element may send the data analysis result to the consumer network element that requests to obtain the data analysis result, or store the data analysis result in the database, or store the data analysis result in the data analysis network element.

In this application, a data analysis network element refers to a network element having functions of collecting and analyzing data and obtaining a data analysis result, and may be an NWDAF network element, a Management Data Analysis Service (MDAS) network element, or other network elements having similar functions. For convenience of description, the data analysis network element is taken as an NWDAF network element for example to be described later in the present application, and the NWDAF network element is simply referred to as NWDAF.

In addition, the network warehouse function network element in the present application refers to a network element with a network element discovery function, which may be an NRF network element or other network elements with similar functions. For convenience of description, the following description will be given by taking a network warehouse function network element as an NRF network element as an example, and the NRF network element is referred to as NRF for short.

It should be noted that the present application is not limited to the 5G system shown in fig. 1A or fig. 1B, but may also be applied to a future communication system, such as a 6th generation (6G) system.

Aiming at the problems existing in the background technology, the solution provided by the application is as follows: and the NWDAF determines the network element type according to the data analysis type, then determines the network element information corresponding to the network element type, and acquires data from the network element corresponding to the network element information for analysis, so as to obtain an analysis result. Or, the NWDAF determines the data type according to the data analysis type, determines the network element type according to the data type, then determines the network element information corresponding to the network element type, and obtains the data from the network element corresponding to the network element information for analysis, thereby obtaining the analysis result. Or, the NWDAF determines the data type according to the data analysis type, then determines the network element information corresponding to the network element type, and obtains the data corresponding to the data type from the network element corresponding to the network element information for analysis, thereby obtaining the analysis result. It should be noted that the data analysis type in the present application can be specifically identified by analysis ID.

The following is a detailed description.

As shown in fig. 2, a data analysis method provided for the present application includes the following steps:

in step 201, the NWDAF determines a first set of network element types corresponding to the data analysis type to be analyzed, where the first set includes one or more network element types.

In one possible implementation, the NWDAF stores a correspondence between the data analysis type and the network element type. As a specific implementation method, the NWDAF stores the corresponding relationship between the data analysis type (e.g., analysis ID) and the network element type (NFtype).

Therefore, the specific implementation of this step may be: and the data analysis network element determines a first set corresponding to the data analysis type according to the corresponding relation between the stored data analysis type and the first set.

In a possible implementation, the correspondence in the initial state may be pre-configured, such as: the mapping may be preconfigured to the NWDAF through an Operation, Administration, Maintenance, and Administration and Maintenance (OAM) platform, and the mapping may be dynamically updated.

In the embodiment of the present application, the data analysis type refers to a type that needs to perform data analysis, for example, the type includes Observed service experience (Observed service experience), Network performance (Network performance), User Equipment (UE) mobility (UE mobility), and the like.

The network element type (NF type) may be, for example, an SMF type, a PCF type, a RAN type, a UPF type, an AF type, a UE type, an OAM type, and one network element type may correspond to one or more network elements (or called network function instances (NF instances)). For example, an SMF network element type corresponds to one or more SMFs, a PCF network element type corresponds to one or more PCFs, and so on.

As an example, it is assumed that the correspondence between the data analysis type currently held in the NWDAF and the network element type is as shown in table 1.

TABLE 1

Table 1 may be a corresponding relationship of initial configuration, or may be a corresponding relationship after dynamic update, which is not limited in this application.

Taking table 1 as an example, the specific implementation manner of step 201 is: and the NWDAF determines a first set of corresponding network element types according to the data analysis type. For example, if the data analysis type is observation service experience, the first set is { RAN type, SMF type, AMF type, UPF type, PCF type, AF type }. For another example, if the data analysis type is network performance, the first set is determined as { RAN type, AMF type, SMF type, UPF type }.

The NWDAF may obtain the data analysis type, for example, based on a data analysis request message or a subscription request message of the first network element, where the data analysis request message or the subscription request message carries the data analysis type, so that the NWDAF determines the data analysis type. For another example, the NWDAF may periodically perform data analysis on the configured data analysis type, so that the data analysis type may be obtained locally. The manner in which the NWDAF is triggered to perform data analysis is not limited in the present application.

Step 202, the NWDAF acquires the first network element information corresponding to the first set from the NRF.

For example, if the first set is { RAN type, AMF type, SMF type, UPF type }, the first network element information obtained by the NWDAF from the NRF is: RAN information, AMF information, SMF information, and UPF information. The information may be, for example, address information, identification information, or one or more of a Full Qualified Domain Name (FQDN) of the network element.

As an implementation, the nrdf may address a network element (or a network element instance) corresponding to one or more network element types to the NRF by using a network element discovery function and service (nrrf _ NFdiscovery _ request/response service) provided by the existing NRF.

As a specific implementation method, the step 202 may specifically include the following steps 202a and 202 b:

in step 202a, the NWDAF sends a network element discovery request message to the NRF. Accordingly, the NRF may receive the network element discovery request message.

The network element discovery request message includes the first set, and specifically, the network element discovery request message includes all network element types in the first set.

In step 202b, the NWDAF receives a network element discovery response message from the network warehouse function network element, where the network element discovery response message includes first network element information corresponding to the first set.

Step 203, the NWDAF acquires the first data from the network element corresponding to the first network element information.

The first data herein may also be referred to as training data, which is used as input data for data learning and model training.

As an implementation method, the first data acquired by the NWDAF from the network element corresponding to the first network element information may be all data in the network element corresponding to the first network element information corresponding to the first set.

As another implementation method, the first data acquired by the NWDAF from the network element corresponding to the first network element information may be specific data in the network element corresponding to the first network element information. For example, when the NWDAF acquires data from the network element corresponding to the first network element information, the NWDAF also provides the data type, so that the first data acquired by the NWDAF from the network element corresponding to the first network element information is data corresponding to the data type. Therefore, based on the implementation, the NWDAF determining the first set corresponding to the data analysis type to be analyzed specifically includes: the NWDAF determines a data type corresponding to a data analysis type to be analyzed, and then the NWDAF determines a first set corresponding to the data type.

It should be noted that in some scenarios (e.g., when data needs to be obtained from NF), the data type may be identified by an event identifier (event ID). In other scenarios (e.g., when data is acquired to the OAM), the data type may be identified using data type identification information provided by the OAM.

This is illustrated below with reference to examples. Based on table 1, taking the data analysis type as Network performance as an example, table 2 is a specific example of the corresponding relationship between the data analysis type, the Network element type, and the data type.

TABLE 2

Referring to table 2, in order to analyze network performance, the data type of the data acquired from the RAN includes uplink/downlink air interface delay, air interface packet loss rate, and the like, the data type corresponding to the data acquired from the SMF includes SMF load, and the like, the data type corresponding to the data acquired from the UPF includes UPF data throughput, bandwidth, and the like, and the data type corresponding to the data acquired from the AMF includes online user number, AMF load, and the like.

Of course, when the data analysis type in table 1 is Observed service experience (Observed service experience) or UE mobility (UE mobility), a corresponding relationship similar to the data analysis type, the network element type, and the data type shown in table 2 may also be defined.

As an implementation method, the NWDAF may obtain related data (i.e., first data) from a network element instance corresponding to a network element type by using an event openness service (Nnf _ evenTextureSubscribeService) provided by each Network Function (NF) network element type. Specifically, the NWDAF may carry an event identifier (event ID) in the specific event subscription request message to indicate a specific data type that needs to be acquired. Before acquiring the training data from the network element instance, the NWDAF also needs to determine the data type corresponding to each network element type according to the specific analysis ID.

For example, taking table 2 as an example, in order to obtain a data analysis result of network performance, the data types that the NWDAF needs to obtain from the AMF network element include the number of online users, the AMF load, and the like, and the NWDAF may invoke a Namf _ evendexsuscribe service, where event ID1 is UE number and event ID 2 is AMF load. Similar processing is performed for other data types, and details are not described.

As another implementation method, the NWDAF may determine the first set by: the NWDAF determines a third set of data types corresponding to the data analysis type, the third set including one or more data types; the NWDAF determines the first set from the third set. I.e. the NWDAF determines the data type first and then the network element type. Taking table 2 as an example, the NWDAF first determines that the third set of data types corresponding to the network performance at least includes uplink/downlink air interface delay, air interface packet loss rate, SMF load, UPF data throughput, bandwidth, online user number, and AMF load, and then determines that the first set is { RAN type, SMF type, AMF type, UPF type } according to the third set.

Similarly, the NWDAF may also obtain data of a required data type using a specific service provided by a network management network element, an application server, and a terminal.

And step 204, analyzing the first data by the NWDAF to determine a first data analysis result.

After the NWDAF acquires the first data corresponding to the data analysis type from the network element corresponding to the first network element information, big data analysis or machine learning is performed based on the acquired first data, so as to acquire an analysis model corresponding to the data analysis type, and then a data analysis result is acquired according to the analysis model.

Based on the above steps 201 to 204, the NWDAF may obtain one or more network element types (i.e., a first set) corresponding to a specific data analysis type based on the stored correspondence between the data analysis type and the network element type, and obtain data from the network elements corresponding to the network element types for training, thereby obtaining a data analysis result, implementing determination of a network element instance for providing a data source to be analyzed, and contributing to improvement of efficiency and accuracy of data analysis.

As an implementation method, after obtaining the first data analysis result, the NWDAF may further update the corresponding relationship between the stored data analysis type and the network element type according to the first data analysis result. I.e. after step 204 above, the following steps 205-206 may also be included:

step 205, the NWDAF determines a second set of network element types corresponding to the data analysis types according to the first data analysis result.

Where the second set includes one or more network element types, the second set is different from the first set.

In step 206, the NWDAF updates the network element type corresponding to the stored data analysis type from the first set to the second set.

With reference to the foregoing steps 205 to 206, in a first situation, based on the first data analysis result, the NWDAF may determine which data in the first data is related to the data analysis result of the specific data analysis type, determine which network element type or network element types the data specifically comes from, and then update the network element type corresponding to the stored data analysis type, so as to dynamically obtain a more accurate corresponding relationship, which is convenient for reference use when subsequently obtaining the data to be analyzed.

Specifically, the NWDAF determines a first data type corresponding to the data analysis type according to the first data analysis result, and then determines a second set according to the first data type, where the network element type in the second set can provide data of the first data type. Alternatively, it may be understood that the NWDAF determines, according to the first data analysis result, a fourth set of data types, where the fourth set includes one or more data types, and the fourth set is a set including the first data type, or the fourth set includes a data type corresponding to the data analysis type, or the fourth set includes a data type related to the first data analysis result. Thus, the NWDAF may determine the second set from the fourth set.

For example, through an analysis model, the NWDAF determines that the network performance is related to uplink/downlink air interface delay, air interface packet loss rate, UPF data throughput rate, bandwidth, online user number, and AMF load, but is not related to SMF load, specifically, the NWDAF determines that the network performance is related to uplink/downlink air interface delay and air interface packet loss rate, and the network element type corresponding to the uplink/downlink air interface delay and the air interface packet loss rate is RAN type, determines that the network performance is also related to UPF data throughput rate and bandwidth, and the network element type corresponding to the UPF data throughput rate and bandwidth is UPF type, determines that the network performance is also related to the online user number and AMF load, and the network element type corresponding to the online user number and AMF load is AMF type. Therefore, the NWDAF determines that the first set corresponding to the network performance is { RAN type, AMF type, UPF type }. Namely, the first set corresponding to the network performance is (RAN type, AMF type, UPF type, SMF type), and the second set corresponding to the network performance is (RAN type, AMF type, UPF type). Furthermore, the NWDAF may update the stored { RAN type, AMF type, UPF type, SMF type } corresponding to the network performance to { RAN type, AMF type, UPF type }. Or it may also be understood that, according to the first data analysis result, the NWDAF determines that the fourth set is { uplink/downlink air interface delay, air interface packet loss rate, UPF data throughput rate, bandwidth, online user number, and AMF load }, so that the second set may be determined according to the fourth set, that is, the second set is { RAN type, AMF type, and UPF type }.

It should be noted that, in the present application, the NWDAF may also update the network element type corresponding to the stored data type from the third set to the fourth set.

Here, the network element type included in the first set but not included in the second set may be referred to as a first network element type, and based on this one case, after step 206, the following steps a 1-a 2 may also be performed:

step a1, the NWDAF determines the first network element type.

Step a2, the NWDAF sends a request message for canceling subscription to the network element corresponding to the first network element type, where the request message for canceling subscription is used to request to cancel data subscription to the network element corresponding to the first network element type.

Based on step a1 and step a2, the first network element type unrelated to the data analysis type (analysis ID) is cancelled, and subsequently, the network element corresponding to the first network element type does not need to acquire the data corresponding to the data analysis type (analysis ID), so that the overhead can be saved, and the resource waste can be reduced.

With reference to the foregoing steps 205-206, in a second case, based on the first data analysis result, the NWDAF finds that the first data analysis result does not conform to an expected result, for example, the model is not stable, the first data analysis result does not converge, or the first data analysis result does not conform to an actual result, and the NWDAF may update the network element type corresponding to the data type to a default or preconfigured network element type. For example, if the NWDAF determines that the first data analysis result corresponding to the network performance does not conform to the expected result through the analysis model, the NWDAF updates the first set corresponding to the network performance to the second set (i.e., the default or preconfigured network element type).

Based on the second scenario, there is at least one network element type in the second set that is not included in the first set. For example, the first set corresponding to the network performance is { RAN type, AMF type, UPF type, SMF type }, and the second set corresponding to the network performance may be { RAN type, AMF type, UPF type, SMF type, AF type }, or { RAN type, AMF type, UPF type, SMF type, PCF type }, or { RAN type, AMF type, UPF type, SMF type, AF type, PCF type }, and the like, which is specific to which form, depends on the specific implementation, and the present application is not limited.

Here, the network element type included in the second set but not included in the first set is referred to as a second network element type, and based on the second case, after step 206, the following steps B1-B2 may also be performed:

step B1, the NWDAF determines the second network element type.

Step B2, the NWDAF acquires the second network element information corresponding to the second network element type from the NRF.

The network element information may be, for example, one or more of address information, identification information, and FQDN of the network element.

As an implementation method, after the step B2, the following steps B3-B4 may also be performed:

step B3, the NWDAF sends a subscription request message to the network element corresponding to the second network element information, where the subscription request message is used to request a data subscription to the network element corresponding to the second network element information.

It can also be understood that the subscription request message is used to request a data subscription to the network element corresponding to the second network element type.

As an implementation method, after step B2 or after step B3 (with the precondition of performing step B3), the following steps B4 to B5 may also be performed:

step B4, the NWDAF acquires the second data from the network element corresponding to the second network element information.

Step B5, the NWDAF determines a second data analysis result based on the first data and the second data.

It is noted that the first data in step B5 may be all or part of the first data.

In a possible implementation manner, the first data may be the first data acquired in step 203.

In another possible implementation, the data analysis network element determines, through step a1, that the first network element type is not related to the data analysis type (analysis ID), then the data analysis network element may delete the data corresponding to the first network element type in the first data, and then the remaining data is taken as the first data of step B5. In this implementation, if the data analysis network element determines that all the first data is not related to the data analysis type (analysis ID), the NWDAF determines the second data analysis result from only the second data in step B5.

Based on the above steps B4-B5, since the above first data analysis result is not correct, the NWDAF further obtains second data from the network element corresponding to the second network element type, and performs data analysis according to the above first data and the second data to obtain a second data analysis result, which is based on obtaining more data for analysis, so as to help determine an accurate data analysis result.

It should be noted that, after step B5, the network element type corresponding to the data analysis type may also be updated according to the second data analysis result, and the implementation method is similar to the process of step 205 to step 206, and is not described again.

It should be further noted that, after the network element type corresponding to the data analysis type included in the NWDAF is updated to the second set, data acquisition and data analysis may be performed subsequently based on the corresponding relationship between the data analysis type and the second set.

The step can realize that the NWDAF acquires the data to be analyzed from the network element corresponding to the updated second set, and the NWDAF acquires a second data analysis result according to the data to be analyzed.

As an implementation method, before the step 201, the following step 200 is further included:

step 200, the first network element sends a request message to the NWDAF. Accordingly, the NWDAF may receive the request message.

The request message includes the data analysis type, and the request message is used for requesting to acquire a data analysis result corresponding to the data analysis type.

The first network element may be any network element for requesting to obtain a data analysis result corresponding to the data analysis type, and the first network element is an example of the consumer network element described above.

On the premise that this step 200 is performed, in a first implementation, the NWDAF may directly send the first data analysis result to the first network element after the step 204.

On the premise of executing the step 200, in the second implementation manner, if the above steps 205 to 206 are executed and belong to the first scenario described above, the following step 207a is executed after the step 206:

step 207a, the NWDAF sends the first data analysis result to the first network element. Accordingly, the first network element may receive the first data analysis result.

On the premise of executing the step 200, in the third implementation manner, if the above steps 205 to 206 are executed and the second scenario described above is adopted, the following step 207b is executed after the step 206:

step 207b, the NWDAF sends the second data analysis result to the first network element. Accordingly, the first network element may receive the second data analysis result.

The second data analysis result may refer to the foregoing description, and will not be described herein again.

In summary, the NWDAF may send the data analysis result (i.e. the first data analysis result or the more optimized second data analysis result) to the first network element, which is beneficial to improving the communication efficiency.

In a possible implementation method, the request message in step 200 may carry screening information in addition to the data analysis type, and at this time, the request message is used to request the obtained data analysis type and the data analysis result corresponding to the screening information.

The filtering information may be, for example, region information, or may also be information of a slice, or may also be information of both region information and a slice. The Area information may be in an unlimited form, and specific examples include one or more cell identifiers, one or more Tracking Area Identifiers (TAI), an administrative Area identifier, a geographic Area longitude and latitude identifier, and the like. The slice information may be one or more of the following: network Slice Selection Assistance Information (NSSAI), single network slice selection assistance information (S-NSSAI), Network Slice Instance (NSI) information, network slice sub-instance (NSSI) information, and so on.

When the request message also carries screening information, the NWDAF acquires the collected data and correlates with the screening information, and two different implementation methods are given below.

In the implementation method 1, on the basis of any embodiment in fig. 2, the step 202 is specifically implemented as: the NWDAF sends a network element discovery request message to the NRF, wherein the network element discovery request message comprises a first set and screening information; the NWDAF receives a network element discovery response message from the NRF, the network element discovery response message including first network element information corresponding to the first set and the screening information.

Based on the implementation method, after acquiring the data analysis type and the screening information from the request message of the first network element, the NWDAF first determines the first set according to the data analysis type, and then sends the first set and the screening information to the NRF through the network element discovery request message, that is, the network element discovery request message is used for requesting the network element information (that is, the first network element information) corresponding to the screening information and the first set.

For example, when the screening information is Area information, the NRF in the prior art supports a network element addressing function based on location information, that is, a network element discovery request message received by the NRF in the prior art may carry a referrer target NFlocation, but the NRF may only identify a Tracking Area Identity (TAI), and cannot identify location information in other forms, such as a cell (cell), an address location (e.g., administrative Area), and the like. In the present application, the form of the area information is not limited, and the specific form is as described above.

And after receiving the network element discovery request message, the NRF converts the area information into address information which can be identified by the NRF. As an implementation method, the NRF may send query information to the OAM, where the query information carries the area information, and the OAM helps to implement conversion of the location information, that is, the area information is converted into address information that the NRF can recognize itself.

As another implementation method, the NRF may also obtain configuration information from the OAM, where the configuration information includes a network topology relationship, that is, a mapping relationship between different types of location information, and the NRF performs conversion of the location information according to the stored network topology relationship, that is, converts the area information into address information that the NRF can recognize.

As another implementation method, the NRF may configure a service area of each network element, and the service area may be marked in other forms (e.g., marked with a cell identifier and a geographic location identifier) besides the TAI. Assuming that the area information in the network element discovery request message sent by the NWDAF is in the first area form, the NRF de-indexes the corresponding network element in the first area form, and finally discovers the matching network element instance. For example, the service area in the NRF where the AMF instance 1 is stored is three expression forms, i.e., TAIlist 1, cell ID list 1, and geographic area 1, and the area information sent by the NWDAF is cell list 1, the NRF determines that the corresponding AMF network element instance is the AMF instance 1 according to the cell list 1.

Then, the NRF acquires the relevant network element information based on the first set and the converted address information, and then returns the acquired network element information to the NWDAF.

Based on the implementation method 1, the step 205 is implemented specifically as follows: and the NWDAF determines a second set corresponding to the data analysis type and the screening information according to the first data analysis result. The step 206 is specifically implemented as follows: and the NWDAF updates the saved data analysis type and the network element type corresponding to the screening information from the first set to the second set.

This is explained below with reference to an example.

Taking the Network performance (Network performance) in table 1 as an example, the Network element types corresponding to the Network performance include: RAN, AMF, SMF, UPF. After the screening information is added, for example, the corresponding relationship among the data analysis type, the screening information, and the network element type shown in table 3 can be obtained.

TABLE 3

As can be seen from table 3, the same data analysis type corresponds to different network element types according to different screening information. Subsequently, the relevant network element types can be obtained based on table 3, and the data to be analyzed corresponding to the data analysis types are obtained from the examples of the network element types for model analysis.

In the implementation method 2, on the basis of any embodiment in fig. 2, the step 201 is specifically implemented as: the NWDAF determines a first set corresponding to the data analysis type and the screening information.

Based on the implementation method, after the NWDAF acquires the data analysis type and the screening information from the request message of the first network element, the NWDAF determines the first set according to the data analysis type and the screening information.

Based on the implementation method 2, the step 205 is implemented specifically as follows: and the NWDAF determines a second set corresponding to the data analysis type and the screening information according to the first data analysis result. The step 206 is specifically implemented as follows: and the NWDAF updates the saved data analysis type and the network element type corresponding to the screening information from the first set to the second set.

For example, the NWDAF stores the corresponding relationship between the data analysis type, the screening information, and the network element type. Taking the data analysis type as the Network performance (Network performance) as an example, and the correspondence between the data analysis type, the screening information, and the Network element type stored in the NWDAF is shown in table 3. Based on the implementation method 2, for example, if the screening information carried in the request message of the first network element is screening information 1, and the data analysis type is network performance, the NWDAF first determines that the first set is { AMF type, SMF type, UPF type, RAN type } according to the screening information 1 and the network performance, and then sends the first set to the NRF. And then the NRF acquires the network element information corresponding to the first set and returns the network element information to the NWDAF so that the NWDAF can acquire data from the network elements corresponding to the network element information for analysis to obtain a data analysis result.

As an implementation method, the nwdf may carry screening information in addition to the first set in the network element discovery request message sent to the NRF, so that the NRF may obtain corresponding network element information according to the screening information and the first set, where a specific process in which the NRF obtains the corresponding network element information according to the screening information and the first set may refer to the related description in the implementation method 1, and is not described herein again.

It should be noted that, as an alternative implementation method, in the embodiment of fig. 2, the first data corresponding to the data analysis type to be analyzed may also be obtained by the following method: the NWDAF determines a first set of network element types corresponding to the data analysis type to be analyzed, acquires first network element information corresponding to the first set from the NRF, determines a third set of data types corresponding to the data analysis type to be analyzed, wherein the third set comprises one or more data types, and then acquires first data corresponding to the third set from the network element corresponding to the first network element information.

Based on the implementation, after obtaining the first data analysis result according to the first data analysis, the NWDAF may further determine, according to the first data analysis result, a fourth set of data types corresponding to the data analysis type, where the fourth set includes one or more data types, and the fourth set is different from the third set, and the NWDAF may update the data types corresponding to the stored data analysis types from the third set to the fourth set. For example, referring to table 2, when acquiring the first data, the NWDAF acquires data corresponding to the data type and the network element type, and after obtaining the data analysis result, evaluates the analysis result related to the data type, so as to dynamically update the content in the data analysis in table 2, for example, if the analysis result is not related to the packet loss rate of the RAN, the packet loss rate of the air interface in table 2 may be deleted.

In one possible implementation method, after updating the data type corresponding to the data analysis type from the third set to the fourth set, the NWDAF may further perform the following steps: the NWDAF determining a first data type that is included in the third set but not the fourth set; and the NWDAF sends a subscription cancellation request message to a network element corresponding to the first data type, wherein the subscription cancellation request message is used for requesting to cancel the data subscription corresponding to the first data type.

In another possible implementation method, after updating the data type corresponding to the data analysis type from the third set to the fourth set, the NWDAF may further perform the following steps: the NWDAF determining a second data type that is included in the fourth set but not the third set; and the NWDAF sends a subscription request message to the network element corresponding to the second data type, wherein the subscription request message is used for requesting data subscription corresponding to the second data type.

In summary, the present application provides a method for network element discovery and data analysis based on data analysis type, wherein an NWDAF can provide information of network element type required for network element discovery to an NRF, so that the NRF helps the NWDAF to address to an appropriate network element for data collection. Based on the above scheme, the NWDAF may also provide data type information required for data collection to an appropriate network element, so as to obtain appropriate training data, so as to complete a data analysis function. In addition, the NWDAF may update the corresponding relationship between the data analysis type and the network element type and/or the data type according to the data analysis result, so that the training data for data analysis may be more accurately acquired when data analysis is subsequently required to be performed again for the data analysis type.

After the network element type corresponding to the data analysis type is updated from the first set to the second set by the above embodiment, in some scenarios, if it is necessary to analyze the data corresponding to the data analysis type again, if it is necessary to provide the data analysis result corresponding to the data analysis type to the second network element, one or more of the following steps C1-C3 may be performed:

step C1, the NWDAF acquires the third network element information corresponding to the second set from the NRF.

Step C2, the NWDAF acquires the third data from the network element corresponding to the third network element information.

And step C3, analyzing the third data by the NWDAF to obtain a third data analysis result.

In addition, the specific implementation of the above step C1-step C3 is similar to the process of the above step 202-step 204, and reference may be made to the foregoing description.

Further, after the step C3, the following steps C4-C5 may be further included.

And step C4, the NWDAF determines a fifth set of network element types corresponding to the data analysis types according to the third data analysis result, wherein the fifth set comprises one or more network element types, and the fifth set is different from the second set.

Step C5, the NWDAF updates the network element type corresponding to the stored data analysis type from the second set to the fifth set.

In addition, the specific implementation of the above step C4-step C5 is similar to the process of the above step 204-step 205, and reference may be made to the foregoing description.

It should be noted that, if the NWDAF has updated the data type corresponding to the data analysis type from the third set to the fourth set before the foregoing processes of steps C1-C3, step C2 may be replaced by the following steps:

step C2', the NWDAF acquires the third data corresponding to the fourth set from the network element corresponding to the third network element information.

Further, after the step C3, the following steps C6-C7 may be further included:

and step C6, the NWDAF determines a sixth set of data types corresponding to the data analysis types according to the third data analysis result, wherein the sixth set comprises one or more data types, and the sixth set is different from the fourth set.

In step C7, the NWDAF updates the data type corresponding to the saved data analysis type from the fourth set to the sixth set.

It should be noted that the names of the above messages are only used as an example, and as the communication technology evolves, the names of the above messages may change, but as long as the functions of the messages are the same as those of the messages in the present application, the change of the names does not affect the protection scope of the present application.

In the present application, the first set, the second set, the third set, the fourth set, and the fifth set are used only for distinction, and the names may be other names. In a specific implementation, the implementation may also be in the form of a list.

It should be noted that the steps in the embodiments of the present application are not limited to all the steps to be performed, and one or more steps in the embodiments described above may be optionally performed.

The above-mentioned scheme provided by the present application is mainly introduced from the perspective of interaction between network elements. It is to be understood that the above-described implementation of each network element includes, in order to implement the above-described functions, a corresponding hardware structure and/or software module for performing each function. Those of skill in the art will readily appreciate that the present invention can be implemented in hardware or a combination of hardware and computer software, with the exemplary elements and algorithm steps described in connection with the embodiments disclosed herein. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.

The following describes different examples in the embodiment of fig. 2, with reference to different drawings, and the steps performed by the examples are described separately.

Fig. 3 is a schematic flow chart of another data analysis method provided in the present application. The method comprises one or more of the following steps:

step 300, the network element 1 sends a request message to the NWDAF. Accordingly, the NWDAF may receive the request message.

The network element 1 is a specific example of the first network element in the embodiment of fig. 2.

Optionally, the request message includes screening information, and a specific implementation manner of the screening information may refer to the description of the embodiment in fig. 2.

Step 301-step 306, refer to step 201-step 206 of the embodiment of fig. 2.

Also, in the embodiment of fig. 3, the second set is a proper subset of the first set, i.e. the network element types in the second set are included in the first set.

It should be noted that the network element 2 in fig. 3 is a network element corresponding to the first network element information in the embodiment of fig. 2, and the method for determining the network element 2 may refer to the description of the embodiment of fig. 2, which is not described herein again.

Step 307, the NWDAF sends the first data analysis result to the network element 1. Accordingly, the network element 1 may receive the first data analysis result.

In step 308, the NWDAF determines the first network element type.

The first network element type is a network element type in the first set that is independent of the data analysis type.

In step 309, optionally, the NWDAF sends a unsubscribe request message to a network element (referred to as network element 3) corresponding to the first network element type, where the unsubscribe request message is used to request to unsubscribe from data of the network element corresponding to the first network element type.

It should be noted that the network element 3 may be one network element or a plurality of network elements. The network element 3 here is one or more of the network elements 2 described above.

The specific implementation of the steps 308 to 309 can refer to the description of step a1 to step a2 in the embodiment of fig. 2.

It should be noted that there is no strict execution sequence between the steps 308 to 309 and 307, for example, the step 307 may be executed before the step 308, may be executed after the step 308 and before the step 309, and may be executed after the step 309.

Fig. 4 is a schematic flow chart of another data analysis method provided in the present application. The method comprises one or more of the following steps:

step 400, the network element 1 sends a request message to the NWDAF. Accordingly, the NWDAF may receive the request message.

Step 401-step 406, refer to step 201-step 206 of the embodiment of fig. 2. Also, in the embodiment of fig. 4, the network element type that belongs to the second set but does not belong to the first set is referred to as a second network element type, a network element corresponding to the second network element type is referred to as a network element 4, and the network element 4 may be one or more network elements.

It should be noted that the network element 2 in fig. 4 is a network element corresponding to the first network element information in the embodiment of fig. 2, and the method for determining the network element 2 may refer to the description of the embodiment of fig. 2, which is not described herein again.

In step 407, the NWDAF determines the second type.

In step 408, the NWDAF obtains second network element information corresponding to the second network element type from the NRF.

In step 409, the NWDAF sends a subscription request message to the network element 4, where the subscription request message is used to request a data subscription for a network element (i.e., the network element 4) corresponding to the second network element information.

In step 410, the NWDAF acquires the second data from the network element corresponding to the second network element information.

In step 411, the NWDAF determines a second data analysis result according to the first data and the second data.

The specific implementation of the above step 407-step 411 can refer to the description of step B1-step B5 in the embodiment of fig. 2.

In step 412, the NWDAF sends the second data analysis result to the network element 1. Accordingly, the network element 2 may receive the second data analysis result.

Based on the embodiment of fig. 3 or fig. 4, after the first network element (i.e., network element 1) sends the request message to the NWDAF, the NWDAF updates the mapping relationship (the mapping relationship between the data analysis type and the network element type, and/or the mapping relationship between the data analysis type and the data type). If a subsequent second network element (the second network element may be the same as or different from the first network element, and herein, the second network element is also referred to as a network element 5) requests a data analysis result corresponding to the data analysis type again, the NWDAF may obtain network element information from the NRF according to the updated mapping relationship, obtain data from the network element corresponding to the network element information, and obtain a third data analysis result according to the obtained data. As described below in conjunction with fig. 5, the method may include one or more of the following steps:

step 500, the network element 5 sends a request message to the NWDAF.

The request message includes a data analysis type, and optionally, the request message further includes screening information.

Step 501, the NWDAF determines a second set of network element types corresponding to the data analysis type.

Step 502, the NWDAF acquires the third network element information corresponding to the second set from the NRF.

In step 503, the NWDAF acquires the third data from the network element (referred to as network element 6) corresponding to the third network element information. The network element 6 here may be one or more network elements.

It should be noted that, if before the network element 5 initiates step 500, the NWDAF has updated the data type corresponding to the data analysis type from the third set to the fourth set, step 503 specifically includes: and the NWDAF acquires third data corresponding to the fourth set from a network element corresponding to the third network element information.

And step 504, analyzing the third data by the NWDAF to obtain a third data analysis result.

Optionally, after step 504, the NWDAF may further determine, according to the third data analysis result, a fifth set of network element types corresponding to the data analysis type, where the fifth set includes one or more network element types. If the fifth set is different from the second set, a step of updating the network element type corresponding to the stored data analysis type from the second set to the fifth set is subsequently performed.

Optionally, after step 504, the NWDAF may further determine a sixth set of data types corresponding to the data analysis type according to the third data analysis result, where the sixth set includes one or more data types. If the sixth set is different from the fourth set, a step of updating the data type corresponding to the stored data analysis type from the fourth set to the sixth set is subsequently performed.

Further, subsequently, according to a difference in the scenario (for example, the fifth set is a proper subset of the first set, or at least one network element type not belonging to the second set exists in the fifth set), the NWDAF sends the third analysis result to the second network element, or performs data analysis again according to the newly acquired data and the third data to obtain a fourth analysis result and sends the fourth analysis result to the second network element. The specific implementation process is similar to the related scheme of step 207a or step 207b in the embodiment of fig. 2, and is not described here again.

It should be noted that, for the specific use method of the screening information in step 500, reference may be made to the description about the use method of the screening information in the embodiment in fig. 2, and details are not repeated here.

It should be noted that other various implementation methods may also be added in the embodiment of fig. 5, for example, in combination with data types, and a specific implementation process thereof may refer to the description of the method for using data types in the embodiment of fig. 2, which is not described herein again.

As shown in fig. 6, which is a possible exemplary block diagram of the data analysis apparatus according to the present application, the apparatus 600 may exist in the form of software or hardware. The apparatus 600 may comprise: a processing unit 602 and a communication unit 603. As an implementation, the communication unit 603 may include a receiving unit and a transmitting unit. The processing unit 602 is configured to control and manage operations of the apparatus 600. The communication unit 603 is configured to support communication of the apparatus 600 with other network entities. The apparatus 600 may further comprise a storage unit 601 for storing program codes and data of the apparatus 600.

The processing unit 602 may be a processor or a controller, and may be, for example, a general-purpose Central Processing Unit (CPU), a general-purpose processor, a Digital Signal Processing (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor may also be a combination of computing functions, e.g., comprising one or more microprocessors, DSPs, and microprocessors, among others. The storage unit 601 may be a memory. The communication unit 603 is an interface circuit of the apparatus for receiving signals from other apparatuses. For example, when the device is implemented in the form of a chip, the communication unit 603 is an interface circuit of the chip for receiving a signal from another chip or device, or an interface circuit of the chip for transmitting a signal to another chip or device.

The apparatus 600 may be a data analysis network element in any of the above embodiments, and may also be a chip for the data analysis network element. For example, when the apparatus 600 is a data analysis network element, the processing unit 602 may be a processor, for example, and the communication unit 603 may be a transceiver, for example. Optionally, the transceiver may comprise radio frequency circuitry and the storage unit may be, for example, a memory. For example, when the apparatus 600 is a chip for a data analysis network element, the processing unit 602 may be a processor, for example, and the communication unit 603 may be an input/output interface, a pin, a circuit, or the like, for example. The processing unit 602 can execute computer-executable instructions stored in a storage unit, optionally, the storage unit is a storage unit in the chip, such as a register, a cache, and the like, and the storage unit can also be a storage unit located outside the chip in the data analysis network element, such as a read-only memory (ROM) or another type of static storage device that can store static information and instructions, a Random Access Memory (RAM), and the like.

In an embodiment, the apparatus 600 is a data analysis network element, and the processing unit 602 is configured to determine a first set of network element types corresponding to data analysis types to be analyzed, where the first set includes one or more network element types; the data analysis network element acquires first network element information corresponding to the first set from the network warehouse function network element; a communication unit 603, configured to obtain first data from a network element corresponding to the first network element information; the processing unit 602 is further configured to obtain a first data analysis result according to the first data.

In a possible implementation method, the processing unit 602 is specifically configured to determine, according to a correspondence between a data analysis type and a first set, the first set corresponding to the data analysis type.

In a possible implementation method, the processing unit 602 is further configured to determine, according to the first data analysis result, a second set of network element types corresponding to the data analysis type, where the second set includes one or more network element types, and the second set is different from the first set; and updating the network element type corresponding to the data analysis type from the first set to the second set.

In a possible implementation method, the processing unit 602 is specifically configured to determine, according to the first data analysis result, the second set corresponding to the data analysis type and the screening information; updating the network element type corresponding to the data analysis type and the screening information from the first set to a second set.

In a possible implementation method, the processing unit 602 is specifically configured to determine a third set of data types corresponding to the data analysis type, where the third set includes one or more data types; the communication unit 602 is specifically configured to obtain the first data corresponding to the third set from the network element corresponding to the first network element information.

In a possible implementation method, the processing unit 602 is specifically configured to determine the first set according to the third set.

In a possible implementation method, the processing unit 602 is further configured to determine, according to the first data analysis result, a fourth set of data types corresponding to the data analysis type, where the fourth set includes one or more data types, and the fourth set is different from the third set; and the data analysis network element updates the data type corresponding to the data analysis type from the third set to the fourth set.

In a possible implementation method, the processing unit 602 is further configured to determine a first network element type, where the first network element type is included in the first set but not included in the second set; the communication unit 602 is further configured to send a unsubscribe request message to a network element corresponding to the first network element type, where the unsubscribe request message is used to request to unsubscribe from data of the network element corresponding to the first network element type.

In a possible implementation method, the processing unit 602 is specifically configured to determine a second network element type, where the second network element type is included in the second set but not included in the first set; and the data analysis network element acquires second network element information corresponding to the second network element type from the network warehouse function network element.

In a possible implementation method, the communication unit 603 is further configured to obtain second data from a network element corresponding to the second network element information; the processing unit 602 is further configured to analyze the first data and the second data to obtain a second data analysis result.

In a possible implementation method, the communication unit 603 is further configured to receive a request message from the first network element, where the request message includes a data analysis type and screening information; the processing unit 602 is specifically configured to determine a first set corresponding to the data analysis type and the screening information.

In a possible implementation method, the communication unit 603 is specifically configured to receive a request message from a first network element, where the request message includes a data analysis type and screening information, and the request message is used to request to obtain a data analysis result corresponding to the data analysis type and the screening information; sending a network element discovery request message to a network warehouse function network element, wherein the network element discovery request message comprises a first set and screening information; the data analysis network element receives a network element discovery response message from the network repository function network element, the network element discovery response message including first network element information corresponding to the first set and the screening information.

In a possible implementation method, the communication unit 603 is further configured to send the first data analysis result to the first network element.

In a possible implementation method, the processing unit 602 is further configured to determine a second data type, where the second data type is included in the fourth set but not included in the third set; the communication unit 603 is further configured to send a subscription request message to a network element corresponding to the second data type, where the subscription request message is used to request a subscription for data corresponding to the second data type.

In a possible implementation method, the processing unit 602 is specifically configured to determine the second set according to the fourth set.

In a possible implementation method, the communication unit 603 is further configured to obtain third network element information corresponding to the second set from the network warehouse function network element; acquiring third data from a network element corresponding to the third network element information; the processing unit 602 is further configured to analyze the third data to obtain a third data analysis result.

In a possible implementation method, the processing unit 602 is further configured to determine, according to a third data analysis result, a fifth set of network element types corresponding to the data analysis type, where the fifth set includes one or more network element types, and the fifth set is different from the second set; and updating the network element type corresponding to the data analysis type from the second set to a fifth set.

In a possible implementation method, the communication unit 603 is specifically configured to send a network element discovery request message to a network repository function network element, where the network element discovery request message includes a first set; and receiving a network element discovery response message from the network warehouse function network element, wherein the network element discovery response message comprises first network element information corresponding to the first set.

In a possible implementation method, the processing unit 602 is further configured to determine a first data type, where the first data type is included in the third set but not included in the fourth set; the communication unit 603 is further configured to send a unsubscribe request message to a network element corresponding to the first data type, where the unsubscribe request message is used to request to unsubscribe from data corresponding to the first data type.

It can be understood that, when the apparatus is used in the data analysis method, specific implementation processes and corresponding beneficial effects may refer to the related descriptions in the foregoing method embodiments, and are not described herein again.

Fig. 7 is a schematic diagram of a data analysis apparatus provided in the present application, where the apparatus may be a data analysis network element in the foregoing embodiment. The apparatus 700 comprises: a processor 702, a communication interface 703, and a memory 701. Optionally, the apparatus 700 may also include a communication line 704. The communication interface 703, the processor 702, and the memory 701 may be connected to each other by a communication line 704; the communication line 704 may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The communication lines 704 may be divided into address buses, data buses, control buses, and the like. For ease of illustration, only one thick line is shown in FIG. 7, but this is not intended to represent only one bus or type of bus.

The processor 702 may be a CPU, microprocessor, ASIC, or one or more integrated circuits configured to control the execution of programs in accordance with the teachings of the present application.

The communication interface 703 may be any device, such as a transceiver, for communicating with other devices or communication networks, such as an ethernet, a Radio Access Network (RAN), a Wireless Local Area Network (WLAN), a wired access network, and the like.

The memory 701 may be, but is not limited to, a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a CD-ROM or other optical disk storage, an optical disk storage (including a compact disk, a laser disk, an optical disk, a digital versatile disk, a blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer. The memory may be separate and coupled to the processor via communication line 704. The memory may also be integral to the processor.

The memory 701 is used for storing computer-executable instructions for executing the present application, and is controlled by the processor 702 to execute the instructions. The processor 702 is configured to execute computer-executable instructions stored in the memory 701, so as to implement the data analysis method provided by the above-mentioned embodiment of the present application.

Optionally, the computer-executable instructions in the embodiments of the present application may also be referred to as application program codes, which are not specifically limited in the embodiments of the present application.

As shown in fig. 8, a schematic diagram of a data analysis system 800 provided for the embodiment of the present application, where the system 800 includes a network warehouse function network element 801 and a data analysis apparatus 802.

A data analysis device 802, configured to determine a first set of network element types corresponding to a data analysis type to be analyzed, where the first set includes one or more network element types; acquiring first network element information corresponding to the first set from a network warehouse function network element; acquiring first data from a network element corresponding to the first network element information; obtaining a first data analysis result according to the first data;

the network warehouse function network element 801 is configured to acquire first network element information corresponding to the first set and send the first network element information to the data analysis device 802.

In a possible implementation method, the data analysis device 802 is specifically configured to determine the first set corresponding to the data analysis type according to a corresponding relationship between the data analysis type and the first set.

In a possible implementation method, the data analysis device 802 is further configured to determine, according to the first data analysis result, a second set of network element types corresponding to the data analysis type, where the second set includes one or more network element types, and the second set is different from the first set; and updating the network element type corresponding to the data analysis type from the first set to the second set.

In a possible implementation method, the data analysis apparatus 802 is specifically configured to determine a third set of data types corresponding to the data analysis type, where the third set includes one or more data types; and acquiring the first data corresponding to the third set from a network element corresponding to the first network element information.

In a possible implementation method, the data analysis apparatus 802 is further configured to determine, according to the first data analysis result, a fourth set of data types corresponding to the data analysis type, where the fourth set includes one or more data types, and the fourth set is different from the third set; and updating the data type corresponding to the data analysis type from the third set to the fourth set.

In a possible implementation method, the data analysis device 802 is further configured to determine a first network element type, where the first network element type is included in the first set but not included in the second set; and sending a subscription cancellation request message to the network element corresponding to the first network element type, where the subscription cancellation request message is used to request to cancel the data subscription to the network element corresponding to the first network element type.

In a possible implementation method, the data analysis device 802 is further configured to determine a second network element type, where the second network element type is included in the second set but not included in the first set; and acquiring second network element information corresponding to the second network element type from the network warehouse function network element.

In a possible implementation method, the data analysis device 802 is further configured to obtain second data from a network element corresponding to the second network element information; and analyzing the first data and the second data to obtain a second data analysis result.

In a possible implementation method, the data analysis device 802 is specifically configured to receive a request message from a first network element, where the request message includes the data analysis type and the screening information; and determining the first set corresponding to the data analysis type and the screening information.

In a possible implementation method, the data analysis device 802 is specifically configured to receive a request message from a first network element, where the request message includes the data analysis type and screening information, and the request message is used to request to obtain a data analysis result corresponding to the data analysis type and the screening information; sending a network element discovery request message to the network repository function network element, the network element discovery request message including the first set and the screening information; and receiving a network element discovery response message from the network repository function network element, the network element discovery response message including the first network element information corresponding to the first set and the screening information.

In a possible implementation method, the data analysis apparatus 802 is further configured to send the first data analysis result to the first network element.

It can be understood that, when the system is used in the data analysis method, specific implementation processes and corresponding beneficial effects may refer to the related descriptions in the foregoing method embodiments, and are not described herein again.

Those of ordinary skill in the art will understand that: the various numbers of the first, second, etc. mentioned in this application are only used for the convenience of description and are not used to limit the scope of the embodiments of this application, but also to indicate the sequence. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "at least one" means one or more. At least two means two or more. "at least one," "any," or similar expressions refer to any combination of these items, including any combination of singular or plural items. For example, at least one (one ) of a, b, or c, may represent: a, b, c, a-b, a-c, b-c, or a-b-c, wherein a, b, c may be single or multiple. "plurality" means two or more, and other terms are analogous. Furthermore, for elements (elements) that appear in the singular form "a," an, "and" the, "they are not intended to mean" one or only one "unless the context clearly dictates otherwise, but rather" one or more than one. For example, "a device" means for one or more such devices.

In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website site, computer, server, or data center to another website site, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device including one or more available media integrated servers, data centers, and the like. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.

The various illustrative logical units and circuits described in this application may be implemented or operated upon by design of a general purpose processor, a digital signal processor, an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof. A general-purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A processor may also be implemented as a combination of computing devices, e.g., a digital signal processor and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a digital signal processor core, or any other similar configuration.

The steps of a method or algorithm described in the embodiments herein may be embodied directly in hardware, in a software element executed by a processor, or in a combination of the two. The software cells may be stored in RAM memory, flash memory, ROM memory, EPROM memory, EEPROM memory, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art. For example, a storage medium may be coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an ASIC.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In one or more exemplary designs, the functions described herein may be implemented in hardware, software, firmware, or any combination of the three. If implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media that facilitate transfer of a computer program from one place to another. Storage media may be any available media that can be accessed by a general purpose or special purpose computer. For example, such computer-readable media can include, but is not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to carry or store program code in the form of instructions or data structures and which can be read by a general-purpose or special-purpose computer, or a general-purpose or special-purpose processor. Additionally, any connection is properly termed a computer-readable medium, and, thus, is included if the software is transmitted from a website, server, or other remote source over a coaxial cable, fiber optic computer, twisted pair, Digital Subscriber Line (DSL), or wirelessly, e.g., infrared, radio, and microwave. The disk (disk) and Disc (Disc) include compact Disc, laser Disc, optical Disc, Digital Versatile Disc (DVD), floppy disk and blu-ray Disc, where the disk usually reproduces data magnetically, and the Disc usually reproduces data optically with laser. Combinations of the above may also be included in the computer-readable medium.

Those skilled in the art will recognize that in one or more of the examples described above, the functions described herein may be implemented in hardware, software, firmware, or any combination thereof. When implemented in software, the functions may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.

The above-mentioned embodiments, objects, technical solutions and advantages of the present application are further described in detail, it should be understood that the above-mentioned embodiments are only examples of the present application, and are not intended to limit the scope of the present application, and any modifications, equivalent substitutions, improvements and the like made on the basis of the technical solutions of the present application should be included in the scope of the present application. The foregoing description of the specification may enable any person skilled in the art to make or use the teachings of the present application, and any modifications based on the disclosed teachings should be considered as obvious in the art, and the general principles described herein may be applied to other variations without departing from the spirit or scope of the present application. Thus, the disclosure is not intended to be limited to the embodiments and designs described, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Although the present application has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the application. Accordingly, the specification and figures are merely exemplary of the present application as defined in the appended claims and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the present application. It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include such modifications and variations.

Claims

1. A method of data analysis, comprising:

the method comprises the steps that a data analysis network element determines a first set of network element types corresponding to a data analysis type to be analyzed, wherein the first set comprises one or more network element types;

the data analysis network element acquires first network element information corresponding to the first set from a network warehouse function network element;

the data analysis network element acquires first data from a network element corresponding to the first network element information;

and the data analysis network element obtains a first data analysis result according to the first data.

2. The method of claim 1, wherein the determining, by the data analysis network element, the first set of network element types corresponding to the data analysis type to be analyzed comprises:

and the data analysis network element determines the first set corresponding to the data analysis type according to the corresponding relation between the data analysis type and the first set.

3. The method of claim 1 or 2, wherein the method further comprises:

the data analysis network element determines a second set of network element types corresponding to the data analysis types according to the first data analysis result, wherein the second set comprises one or more network element types, and the second set is different from the first set;

and the data analysis network element updates the network element type corresponding to the data analysis type from the first set to the second set.

4. The method of any of claims 1-3, wherein the method further comprises:

the data analysis network element determines a third set of data types corresponding to the data analysis type, wherein the third set comprises one or more data types;

the acquiring, by the data analysis network element, first data from the network element corresponding to the first network element information includes:

and the data analysis network element acquires the first data corresponding to the third set from the network element corresponding to the first network element information.

5. The method of claim 4, wherein the method further comprises:

the data analysis network element determines a fourth set of data types corresponding to the data analysis types according to the first data analysis result, wherein the fourth set comprises one or more data types, and the fourth set is different from the third set;

and the data analysis network element updates the data type corresponding to the data analysis type from the third set to the fourth set.

6. The method of claim 3, wherein the method further comprises:

determining, by the data analysis network element, a first network element type, the first network element type being included in the first set but not in the second set;

and the data analysis network element sends a subscription cancellation request message to the network element corresponding to the first network element type, wherein the subscription cancellation request message is used for requesting to cancel the data subscription of the network element corresponding to the first network element type.

7. The method of claim 3, wherein the method further comprises:

determining, by the data analysis network element, a second network element type, the second network element type being included in the second set but not in the first set;

and the data analysis network element acquires second network element information corresponding to the second network element type from the network warehouse function network element.

8. The method of claim 7, wherein the method further comprises:

the data analysis network element acquires second data from a network element corresponding to the second network element information;

and the data analysis network element analyzes the first data and the second data to obtain a second data analysis result.

9. The method of any of claims 1-8, wherein the method further comprises:

the data analysis network element receives a request message from a first network element, wherein the request message comprises the data analysis type and screening information;

the data analysis network element determining a first set of network element types corresponding to a data analysis type to be analyzed includes:

the data analysis network element determines the first set corresponding to the data analysis type and the screening information.

10. The method of any one of claims 1-8, wherein the method further comprises:

the data analysis network element receives a request message from a first network element, wherein the request message comprises the data analysis type and screening information, and the request message is used for requesting to acquire a data analysis result corresponding to the data analysis type and the screening information;

the data analysis network element obtaining, from a network warehouse function network element, first network element information corresponding to the first set, including:

the data analysis network element sends a network element discovery request message to the network warehouse function network element, wherein the network element discovery request message comprises the first set and the screening information;

the data analysis network element receives a network element discovery response message from the network repository function network element, where the network element discovery response message includes the first network element information corresponding to the first set and the screening information.

11. The method of any one of claims 1-10, wherein the method further comprises:

and the data analysis network element sends the first data analysis result to the first network element.

12. A data analysis apparatus, comprising: a processing unit and a communication unit;

the processing unit is configured to determine a first set of network element types corresponding to a data analysis type to be analyzed, where the first set includes one or more network element types;

the communication unit is configured to acquire, from a network warehouse function network element, first network element information corresponding to the first set; acquiring first data from a network element corresponding to the first network element information;

the processing unit is further configured to obtain a first data analysis result according to the first data.

13. The apparatus according to claim 12, wherein the processing unit is specifically configured to determine the first set corresponding to the data analysis type according to a correspondence between the data analysis type and the first set.

14. The apparatus as claimed in claim 12 or 13, wherein said processing unit is further configured to:

determining a second set of network element types corresponding to the data analysis types according to the first data analysis result, wherein the second set comprises one or more network element types, and the second set is different from the first set;

and updating the network element type corresponding to the data analysis type from the first set to the second set.

15. The apparatus of any of claims 12-14, wherein the processing unit is further to:

determining a third set of data types corresponding to the data analysis type, wherein the third set comprises one or more data types;

the communication unit is specifically configured to acquire the first data corresponding to the third set from a network element corresponding to the first network element information.

16. The apparatus as recited in claim 15, said processing unit to further:

determining a fourth set of data types corresponding to the data analysis types according to the first data analysis result, wherein the fourth set comprises one or more data types, and the fourth set is different from the third set;

and updating the data type corresponding to the data analysis type from the third set to the fourth set.

17. The apparatus of claim 14, wherein the processing unit is further configured to determine a first network element type, the first network element type being included in the first set but not included in the second set;

the communication unit is further configured to send a unsubscribe request message to a network element corresponding to the first network element type, where the unsubscribe request message is used to request to unsubscribe from data of the network element corresponding to the first network element type.

18. The apparatus of claim 14, wherein the processing unit is further configured to determine a second network element type, the second network element type being included in the second set but not included in the first set;

the communication unit is further configured to acquire, from the network warehouse function network element, second network element information corresponding to the second network element type.

19. The apparatus of claim 18, wherein the communication unit is further configured to obtain second data from a network element corresponding to the second network element information;

the processing unit is further configured to analyze the first data and the second data to obtain a second data analysis result.

20. The apparatus according to any of claims 12-19, wherein the communication unit is further configured to receive a request message from a first network element, the request message including the data analysis type and the screening information;

the processing unit is specifically configured to determine the first set corresponding to the data analysis type and the screening information.

21. The apparatus according to any of claims 12-19, wherein the communication unit is specifically configured to:

receiving a request message from a first network element, wherein the request message includes the data analysis type and screening information, and the request message is used for requesting to acquire a data analysis result corresponding to the data analysis type and the screening information;

sending a network element discovery request message to the network repository function network element, the network element discovery request message including the first set and the screening information;

receiving a network element discovery response message from the network repository function network element, the network element discovery response message including the first network element information corresponding to the first set and the screening information.

22. The apparatus of any of claims 13-21, wherein the communication unit is further configured to send the first data analysis result to the first network element.

23. A data analysis apparatus, comprising: a processor and interface circuitry, the processor to communicate with a network device through the interface circuitry and to perform the method of any of claims 1-11.

24. A data analysis apparatus comprising a processor coupled to a memory for invoking a program stored in the memory to perform the method of any one of claims 1-11.

25. A data analysis network element, comprising the apparatus of any of claims 12-22.

26. A storage medium having stored thereon a computer program or instructions, which, when executed, cause a processor to perform the method of any one of claims 1-11.

27. A data analysis system comprising a network repository function network element and an apparatus as claimed in any one of claims 12 to 22.