CN117544944A

CN117544944A - Data processing method, device, equipment and storage medium

Info

Publication number: CN117544944A
Application number: CN202311767180.1A
Authority: CN
Inventors: 王海燚; 衡心; 皇甫敏娜; 樊宁
Original assignee: China Telecom Technology Innovation Center; China Telecom Corp Ltd
Current assignee: China Telecom Technology Innovation Center; China Telecom Corp Ltd
Priority date: 2023-12-20
Filing date: 2023-12-20
Publication date: 2024-02-09

Abstract

The disclosure provides a data processing method, a device, equipment and a storage medium, and relates to the fields of network technology and security. Receiving a first data analysis request sent by a service consumption network element, determining whether a terminal related to the first data analysis request is a roaming terminal, sending a second data analysis request to a roaming place network data analysis function V-NWDAF network element corresponding to the roaming terminal under the condition that the terminal related to the first data analysis request is determined to be the roaming terminal, receiving a model subscription request sent by the V-NWDAF network element, and sending model subscription information to the V-NWDAF network element, so that the V-NWDAF network element analyzes data corresponding to the second data analysis request based on a subscribed model to obtain an analysis result, thereby realizing cross-network user data analysis.

Description

Data processing method, device, equipment and storage medium

Technical Field

The present disclosure relates to the field of network technologies and security, and in particular, to a data processing method, apparatus, device, and storage medium.

Background

With the development of society, traffic convenience is greatly improved. Due to the improvement of traffic convenience, a user often leaves the home location of the user terminal and appears in a roaming location, when the user terminal is in the roaming location, a roaming network data analysis function (Network Data Analytics Function, NWDAF) receives an analysis request of home location transfer for analysis and processing, the existing scheme only supports the use of a self model by the roaming location NWDAF, the flexibility is poor, and the risk of compliance hidden danger and data leakage exists in the process of collecting user data across networks; the adoption of federal learning requires cooperation and interaction among the participants, solves a plurality of technical problems of distributed computation, communication, safety and the like, and has higher application difficulty.

Disclosure of Invention

The present disclosure provides a data processing method, apparatus, device, and storage medium, which at least to some extent implement analysis processing of user data across networks.

Other features and advantages of the present disclosure will be apparent from the following detailed description, or may be learned in part by the practice of the disclosure.

According to one aspect of the present disclosure, there is provided a data processing method applied to a home network data analysis function N-WDAF network element, including:

receiving a first data analysis request sent by a service consumption network element;

determining whether the terminal involved in the first data analysis request is a roaming terminal;

under the condition that the terminal related to the first data analysis request is determined to be a roaming terminal, a second data analysis request is sent to a roaming place network data analysis function V-NWDAF network element corresponding to the roaming terminal, and the second data analysis request is generated based on the first data analysis request;

receiving a model subscription request sent by a V-NWDAF network element;

and sending the model subscription information to the V-NWDAF network element so that the V-NWDAF network element analyzes data corresponding to the second data analysis request based on the subscription model to obtain an analysis result.

In one embodiment of the present disclosure, determining whether a terminal to which the first data analysis request relates is a roaming terminal includes:

And sending the identification of the terminal contained in the first data analysis request to the home network element so that the home network element determines whether the terminal is a roaming terminal or not based on the identification of the terminal.

In one embodiment of the present disclosure, the method further comprises:

and determining a V-NWDAF network element corresponding to the roaming place network corresponding to the roaming terminal based on the home network storage function H-NRF network element.

In one embodiment of the present disclosure, the method further comprises:

and sending the analysis result to the service consumption network element.

According to another aspect of the present disclosure, there is provided a data processing method applied to a roaming place network data analysis function V-NWDAF network element, including:

receiving a second data analysis request sent by a home network data analysis function H-NWDAF network element, wherein the second data analysis request is generated by the H-NWDAF network element based on a first data analysis request sent by a service consumption network element;

determining whether a model for analyzing data is provided by the H-NWDAF network element according to the second data analysis request;

on the basis of determining that the H-NWDAF network element provides a model, sending a model subscription request to the H-NWDAF network element;

receiving model subscription information sent by an H-NWDAF network element;

and acquiring a corresponding model based on the model subscription information, and analyzing data corresponding to the second data analysis request based on the model to obtain an analysis result.

In one embodiment of the present disclosure, the method further comprises:

and sending the analysis result to the H-NWDAF network element so that the H-NWDAF network element sends the analysis result to the service consumption network element.

According to still another aspect of the present disclosure, there is provided a data processing apparatus applied to a home network data analysis function H-NWDAF network element, including:

the first receiving module is used for receiving a first data analysis request sent by the service consumption network element;

a first determining module, configured to determine whether a terminal involved in the first data analysis request is a roaming terminal;

the first sending module is used for sending a second data analysis request to a roaming place network data analysis function V-NWDAF network element corresponding to the roaming terminal under the condition that the terminal related to the first data analysis request is determined to be the roaming terminal, wherein the second data analysis request is generated based on the first data analysis request;

the second receiving module is used for receiving a model subscription request sent by the V-NWDAF network element;

and the second sending module is used for sending the model subscription information to the V-NWDAF network element so that the V-NWDAF network element analyzes the data corresponding to the second data analysis request based on the subscribed model to obtain an analysis result.

In one embodiment of the present disclosure, the first determining module includes:

and the first determining unit is used for sending the identification of the terminal contained in the first data analysis request to the home network element so that the home network element determines whether the terminal is a roaming terminal or not based on the identification of the terminal.

In one embodiment of the present disclosure, the apparatus further comprises:

and a third determining module for determining a V-NWDAF network element corresponding to the roaming place network corresponding to the roaming terminal based on the home network storage function H-NRF network element.

In one embodiment of the present disclosure, the apparatus further comprises:

and the forwarding module is used for sending the analysis result to the service consumption network element.

According to still another aspect of the present disclosure, there is provided a data processing apparatus applied to a roaming place network data analysis function V-NWDAF network element, including:

a third receiving module, configured to receive a second data analysis request sent by a home network data analysis function H-NWDAF network element, where the second data analysis request is generated by the H-NWDAF network element based on the first data analysis request sent by the service consumption network element;

a second determining module, configured to determine whether a model for analyzing data is provided by the H-NWDAF network element according to the second data analysis request;

The third sending module is used for sending a model subscription request to the H-NWDAF network element on the basis of determining that the H-NWDAF network element provides a model;

a fourth receiving module, configured to receive model subscription information sent by an H-NWDAF network element;

the acquisition module is used for acquiring a corresponding model based on the model subscription information, and analyzing data corresponding to the second data analysis request based on the model to obtain an analysis result.

In one embodiment of the present disclosure, the data processing apparatus further includes:

and the fourth sending module is used for sending the analysis result to the H-NWDAF network element so that the H-NWDAF network element sends the analysis result to the service consumption network element.

According to still another aspect of the present disclosure, there is provided an electronic apparatus including: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform the data processing method described above via execution of the executable instructions.

According to yet another aspect of the present disclosure, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the above-described data processing method.

According to the data processing method provided by the embodiment of the disclosure, a first data analysis request sent by a service consumption network element is received, whether a terminal related to the first data analysis request is a roaming terminal is determined, and when the terminal related to the first data analysis request is determined to be the roaming terminal, a second data analysis request is sent to a roaming place network data analysis function V-NWAF network element corresponding to the roaming terminal, a model subscription request sent by the V-NWAF network element is received, model subscription information is sent to the V-NWAF network element, so that the V-NWAF network element analyzes data corresponding to the second data analysis request based on a subscribed model, an analysis result is obtained, and cross-network user data analysis is realized.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without undue effort.

FIG. 1 illustrates a schematic diagram of a data processing network in an embodiment of the present disclosure;

FIG. 2 illustrates a flow chart of a data processing method in an embodiment of the present disclosure;

FIG. 3 is a flow chart illustrating yet another method of data processing in an embodiment of the present disclosure;

FIG. 4 is a flow chart illustrating yet another data processing method in an embodiment of the disclosure;

FIG. 5 is a flow chart illustrating yet another data processing method in an embodiment of the disclosure;

FIG. 6 is a flow chart illustrating yet another data processing method in an embodiment of the disclosure;

FIG. 7 is a flow chart illustrating yet another data processing method in an embodiment of the disclosure;

FIG. 8 illustrates a data processing method signaling diagram in an embodiment of the present disclosure;

FIG. 9 illustrates a schematic diagram of a data processing apparatus in an embodiment of the present disclosure;

FIG. 10 illustrates a schematic diagram of another data processing apparatus in an embodiment of the present disclosure; and

fig. 11 shows a block diagram of an electronic device in an embodiment of the disclosure.

Detailed Description

Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.

Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor devices and/or microcontroller devices.

It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order and/or performed in parallel. Furthermore, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.

It should be noted that the terms "first," "second," and the like in this disclosure are merely used to distinguish between different devices, modules, or units and are not used to define an order or interdependence of functions performed by the devices, modules, or units.

It should be noted that references to "one", "a plurality" and "a plurality" in this disclosure are intended to be illustrative rather than limiting, and those of ordinary skill in the art will appreciate that "one or more" is intended to be understood as "one or more" unless the context clearly indicates otherwise.

In order to solve the above problems, embodiments of the present disclosure provide a data processing method, apparatus, device, and storage medium.

For ease of understanding, embodiments of the present disclosure will first be described with respect to a data processing network architecture.

Fig. 1 is a schematic diagram of a data processing network according to an embodiment of the disclosure.

The visiting Network VPLMN includes a plurality of Network elements within the visiting place, wherein the Network elements within the visiting place include an analysis data storage Function (The Analytics Data Repository Function, ADRF) Network element, an NWDAF Network element, a security edge protection proxy (Security Edge Protection Proxies, SEPP) Network element, an access mobility management Function (Access and Mobility Management Function, AMF) Network element, a session management Function (Session Management Function, SMF) Network element, and other Network Function (NF) Network elements; NWDAF can be broken down into an analysis logic function (Analytics Logical Function, anLF) and a model training logic function (Model Training Logical Function, MTLF), with MTLF providing a trained model to AnLF, which is the only consumer network element served by MTLF.

The visiting place safety edge protection proxy network element is vSEPP, and the home place safety edge protection proxy network element is hSEPP.

The visited Network also illustratively includes a radio access Network (Radio Access Network, RAN), a user plane function (User Plane Function, UPF) Network element, a Data Network (DN).

The home network HPLMN comprises a plurality of network elements within the home location, wherein the network elements within the home location comprise: NWDAF network elements, secure edge protection proxy (Security Edge Protection Proxies, SEPP) network elements, unified data management (Unified Data Management, UDM) network elements, session management function (Session Management Function, SMF) network elements, network storage function (Network Repository Function, NRF) network elements. Wherein Consumer NF is a service consumption network element.

Wherein, N1, N2, N3, N4 and N32 are all connection interfaces.

Fig. 2 shows a flow chart of a data processing method in an embodiment of the disclosure.

It should be noted that the data processing method in the embodiment of the present disclosure is applied to the home network data analysis function H-NWDAF network element.

As shown in fig. 2, the data processing method may include:

s210, a first data analysis request sent by a service consumption network element is received.

In some embodiments, H-NWDAF (AnLF) refers to a home NWDAF that contains an analysis logic function (AnLF), H-NWDAF (MTLF) refers to a home NWDAF that contains a Model Training Logic Function (MTLF), and V-NWDAF (AnLF) refers to a visited NWDAF that contains an analysis logic function (AnLF).

In some embodiments, the home Consumer NF network element sends the first data analysis request to the H-NWDAF containing the analysis logic function by invoking the Nnwdaf_Analytics Subsubscription_Subscribe service.

In some embodiments, the first data analysis request may include: the identity of the terminal, which may include SUPI, for example.

In some embodiments, an analysis identification, analytical ID, may also be included in the first data analysis request.

Illustratively, the analysis ID may be analysis ID1.

In some embodiments, the Consumer NF may be an application function (Application Function, AF).

S220, determining whether the terminal involved in the first data analysis request is a roaming terminal.

In some embodiments, it may be determined whether the terminal is a roaming terminal based on the identity of the terminal included in the first data analysis request.

In some embodiments, it may be determined whether the terminal is in a roaming state, i.e. whether the terminal is a roaming terminal, based on the home UDM.

S230, when it is determined that the terminal related to the first data analysis request is a roaming terminal, sending a second data analysis request to a roaming network data analysis function V-NWDAF network element corresponding to the roaming terminal, where the second data analysis request is generated based on the first data analysis request.

In some embodiments, prior to S230, the method may further comprise: a V-NWDAF with roaming entry capability is determined.

In some embodiments, determining a V-NWDAF with roaming entry capability may include:

the H-NWDAF requests the home H-NRF to provide the V-NWDAF instance of the AnLF service to the visited network.

For example, the H-NWDAF (AnLF) carries information such as NF type, NF service, PLMN ID, and the like, calls the nnrf_nfdiscovery_request service, and initiates a discovery Request of NF service to the H-NRF. Wherein the discovery request is used for discovering the V-NWDAF instance providing the AnLF service.

In some embodiments, after the H-NRF network element receives the discovery request, the target V-NWDAF (AnLF) instance is discovered, and relevant information is returned to the H-NWDAF (AnLF). Wherein the related information includes: NF type, NF instance ID, FQDN or IP address of the NF instance.

Illustratively, the relevant information may be: NF type is NFtype_NWDAF_AnLF, NF instance ID is NF_01, FQDN of NF instance is allf.nwdaf.5gc.xyz.

In some embodiments, after the H-NWDAF determines the V-NWDAF instance by the H-NRF, a second data analysis request may be sent to the determined V-NWDAF.

In some embodiments, the second data analysis request may include an analysis ID, an identification of the terminal, and Analytics Filter Information.

In some embodiments, the second data analysis Request may be sent through an nnwdaf_romaminganalysis_request service.

Illustratively, the analysis ID may be analysis ID1, the terminal identification may be SUPI01, and the Analytics Filter Information may be PLMN01.

In some embodiments, after the V-NWDAF receives the second data analysis request, it may be determined, based on the analysis ID contained in the second analysis request, that performing analysis of the analysis ID identification requires the model provided by the H-NWDAF.

S240, receiving a model subscription request sent by the V-NWDAF network element.

In some embodiments, prior to S240, the V-NWDAF network element needs to determine a roaming entry capable H-NWDAF (MTLF).

In some embodiments, the V-NWDAF network element determining the H-NWDAF with roaming entry capability may specifically include:

the V-NWDAF network element invokes an nrf_nfdiscovery_request service requesting the home H-NRF for the home network to provide an instance of the H-NWDAF of the model training logic service (MTLF).

Further, the V-NWDAF (AnLF) invokes an nnrf_nfdiscovery_request service, and initiates a discovery Request of NF service to the home H-NRF, carrying parameters such as NF type, NF service, PLMN ID, etc., so as to Request the home network to provide an instance of V-NWDAF of MTLF service.

In some embodiments, after the H-NRF receives the discovery request sent by the V-NWDAF (AnLF), discovers the target H-NWDAF (MTLF) instance, and returns relevant information to the V-NWDAF (AnLF), where the relevant information may include NF type, NF instance ID, FQDN of NF instance, or IP address.

For example, NF type may be nftype_nwdaf_mtlf, NF instance ID may be nf_02, and FQDN of NF instance may be MTLF.

In some embodiments, the model subscription request may include: analytics ID.

In some embodiments, the V-NWDAF network element may send a model subscription Request to the H-NWDAF network element by invoking the nnwdaf_mlmodeinfo_request service.

S250, the model subscription information is sent to the V-NWDAF network element, so that the V-NWDAF network element analyzes data corresponding to the second data analysis request based on the subscribed model, and an analysis result is obtained.

In some embodiments, the H-NWDAF instance receives a model information request sent by the V-NWDAF, obtains an ML model matching the analysis ID1 according to the pre-configuration information, and returns ML model related information to the V-NWDAF.

In some embodiments, the model subscription information includes a model identification and a model file address. Exemplary are as the model identification ML01, the model file address URL or FQDN.

In some embodiments, after the V-NWDAF receives the model subscription information, a data analysis process may be performed based on the model subscription information acquisition model, resulting in an analysis result.

In some embodiments, if information of other network elements needs to be acquired in the analysis process, the V-NWDAF (AnLF) may discover relevant network elements from the visited NRF by calling nnrf_nfdiscovery, and perform data collection based on services opened by the relevant network elements.

In some embodiments, the V-NWDAF may utilize the ML01 model to complete analysis of data corresponding to the analysis ID 1.

In some embodiments, after S250, the V-NWDAF may return the analysis result to the H-NWDAF (AnLF) by calling the raminganalysis_response, which returns the analysis result to the service consumer network element that originated the subscription request.

In some embodiments, the H-NWDAF may forward the analysis results to the service consumer network element by invoking Nnwdaf_analysis description_notify.

FIG. 3 illustrates a flow chart of another data processing method in an embodiment of the present disclosure.

As shown in fig. 3, the data processing method may include:

s310, receiving a first data analysis request sent by a service consumption network element;

and S320, the identification of the terminal contained in the first data analysis request is sent to the home network element, so that the home network element determines whether the terminal is a roaming terminal based on the identification of the terminal.

In some embodiments, the identity of the terminal may include SUPI.

In some embodiments, the home network element may comprise a plurality of network elements of the home location, and illustratively the home network element may comprise a home UDM network element.

In some embodiments, the H-NWDAF network element may determine whether the terminal is a roaming terminal based on the terminal identity contained in the first data analysis request and the home UDM network element.

S330, when the terminal related to the first data analysis request is determined to be a roaming terminal, a second data analysis request is sent to a roaming place network data analysis function V-NWAF network element corresponding to the roaming terminal, wherein the second data analysis request is generated based on the first data analysis request;

S340, receiving a model subscription request sent by a V-NWDAF network element;

and S350, the model subscription information is sent to the V-NWDAF network element, so that the V-NWDAF network element analyzes data corresponding to the second data analysis request based on the subscribed model, and an analysis result is obtained.

Fig. 4 shows a flowchart of yet another data processing method in an embodiment of the present disclosure.

As shown in fig. 4, the data processing method may include:

s410, receiving a first data analysis request sent by a service consumption network element;

s420, determining whether the terminal related to the first data analysis request is a roaming terminal;

s430, determining the V-NWDAF network element corresponding to the roaming place network corresponding to the roaming terminal based on the home network storage function H-NRF network element.

S440, when the terminal related to the first data analysis request is determined to be a roaming terminal, a second data analysis request is sent to a roaming place network data analysis function V-NWAF network element corresponding to the roaming terminal, wherein the second data analysis request is generated based on the first data analysis request;

s450, receiving a model subscription request sent by a V-NWDAF network element;

and S460, the model subscription information is sent to the V-NWDAF network element, so that the V-NWDAF network element analyzes data corresponding to the second data analysis request based on the subscribed model, and an analysis result is obtained.

Fig. 5 shows a flowchart of yet another data processing method in an embodiment of the present disclosure.

As shown in fig. 5, the data processing method may include:

s510, receiving a first data analysis request sent by a service consumption network element;

s520, determining whether the terminal related to the first data analysis request is a roaming terminal;

s530, when the terminal related to the first data analysis request is determined to be a roaming terminal, sending a second data analysis request to a roaming place network data analysis function V-NWAF network element corresponding to the roaming terminal, wherein the second data analysis request is generated based on the first data analysis request;

s540, receiving a model subscription request sent by a V-NWDAF network element;

and S550, the model subscription information is sent to the V-NWDAF network element, so that the V-NWDAF network element analyzes the data corresponding to the second data analysis request based on the subscribed model, and an analysis result is obtained.

And S560, sending the analysis result to the service consumption network element.

Based on the same inventive concept, the embodiments of the present disclosure also provide a data processing method, such as the following embodiments. Since the principle of solving the problem of this method embodiment is similar to that of the above method embodiment, the implementation of this method embodiment may refer to the implementation of the above method embodiment, and the repetition is not repeated.

Fig. 6 shows a flowchart of yet another data processing method in an embodiment of the present disclosure.

It should be noted that the data processing method in the embodiment of the present disclosure is applied to the visited place data analysis function V-NWDAF network element.

As shown in fig. 6, the data processing method may include:

s610, receiving a second data analysis request sent by a home network data analysis function H-NWDAF network element, wherein the second data analysis request is generated by the H-NWDAF network element based on a first data analysis request sent by a service consumption network element;

s620, determining whether a model for analyzing data is provided by the H-NWDAF network element according to the second data analysis request;

s630, on the basis of determining that the H-NWDAF network element provides a model, sending a model subscription request to the H-NWDAF network element;

s640, receiving model subscription information sent by an H-NWDAF network element;

s650, acquiring a corresponding model based on the model subscription information, and analyzing data corresponding to the second data analysis request based on the model to obtain an analysis result.

Fig. 7 shows a flowchart of yet another data processing method in an embodiment of the present disclosure.

As shown in fig. 7, the data processing method may include:

s710, receiving a second data analysis request sent by a home network data analysis function H-NWDAF network element, wherein the second data analysis request is generated by the H-NWDAF network element based on a first data analysis request sent by a service consumption network element;

S720, determining whether a model for analyzing data is provided by an H-NWDAF network element according to the second data analysis request;

s730, on the basis of determining that the H-NWDAF network element provides the model, sending a model subscription request to the H-NWDAF network element;

s740, receiving model subscription information sent by the H-NWDAF network element;

s750, acquiring a corresponding model based on the model subscription information, and analyzing data corresponding to the second data analysis request based on the model to obtain an analysis result.

And S760, the analysis result is sent to the H-NWDAF network element, so that the H-NWDAF network element sends the analysis result to the service consumption network element.

Fig. 8 shows a signaling diagram of yet another data processing method in an embodiment of the disclosure.

As shown in fig. 8, the data processing method may include:

s801, consumer NF sends a data analysis request to H-NWDAF (AnLF).

In some embodiments, the data analysis request may call an Nnwdaf_Analytics Subsubscription_Subscribe service that is H-NWDAF (AnLF) open.

In some embodiments, the data analysis request may also include an analysis ID and a specified terminal identification.

In this embodiment, the H-NWDAF includes an analysis logic function (Analytics logical function, anLF) network element.

Wherein, the analysis ID is analysis ID, and both H-NWDAF and V-NWDAF are NWDAF with roaming entry capability.

S802, H-NWDAF (AnLF) sends NF service discovery request to H-NRF.

In some embodiments, the NF service discovery Request may invoke an H-NRF open nnf_nfdiscovery_request service.

In some embodiments, the nnrf_nfdiscovery_request may include NF type, NF service, PLMN ID.

S803, the H-NRF sends an NF discovery service response to the H-NWDAF (AnLF).

In some embodiments, the NF discovery service Response is signaled back by the H-NRF through the nnrf_nfdiscovery_response service.

In some embodiments, the Nnrf_NFdiscovery_response may include instance ID of V-NWDAF (AnLF).

S804, the H-NWDAF (AnLF) transmits analysis information of the designated terminal to the V-NWDAF (AnLF).

In some embodiments, the analytics information for a given terminal may invoke the RoamingAnalytics_Request service, which is V-NWDAF (AnLF) open.

In some embodiments, the romaminganalytics_request may include an Analytics ID, a terminal identification, analytics flter Information.

S805, V-NWDAF (AnLF) sends NF service discovery request to H-NRF.

In some embodiments, the network function instance Request may invoke an H-NRF open nnrf_nfdiscovery_request service.

In some embodiments, nnrf NFDiscovery Request can include NF type, NF service, PLMN ID.

S806, the H-NRF sends an NF discovery service response to the V-NWDAF (AnLF).

Wherein the NF discovery service Response is returned by the H-NRF with the nnrf_nfdiscovery_response service.

In some embodiments, the Nnrf_NFdiscovery_response includes an instance ID of H-NWDAF (MTLF).

S807, V-NWDAF (AnLF) sends a model subscription request to H-NWDAF (MTLF).

In some embodiments, the model subscription request may invoke an H-NWDAF_MLModelInfo_subsribe service that is open to H-NWDAF (MTLF).

In some embodiments, the model subscription Request may also invoke an H-NWDAF_MLModelInfo_Request service that is H-NWDAF (MTLF) open.

In some embodiments, the Nnwdaf_MLModelInfo_subsubscan and the Nnwdaf_MLModelInfo_request may include an analysis ID.

S808, the N-NWDAF (MTLF) sends a model subscription request reply message to the V-NWDAF (AnLF).

In some embodiments, the model subscription request reply message is returned by the H-NWDAF (AnLF) through the Nnwdaf_MLModelInfo_response service.

In some embodiments, the nnwdaf_mlmodeinfo_response may comprise: model ID, model file address.

S809, V-NWDAF (AnLF) acquires the model through the model file address.

In some embodiments, the V-NWDAF (AnLF) downloads the model file identified by the model ID based on the model file address.

S810, performing data analysis by V-NWDAF (AnLF).

In some embodiments, V-NWDAF (AnLF) uses the acquired model files for data analysis.

S811, V-NWDAF (AnLF) sends the data analysis result to H-NWDAF (AnLF).

In some embodiments, the data analysis results are returned by V-NWDAF (AnLF) through the RoamingAnalytics_response service.

In some embodiments, the romaminganalysis_response may include Analytics information.

S812, the H-NWDAF (AnLF) sends the data analysis result to the Consumer NF.

In some embodiments, the data analysis results sent by the H-NWDAF to the Consumer NF may be returned via an analysis_Notify service.

Based on the same inventive concept, a data processing apparatus is also provided in the embodiments of the present disclosure, as follows. Since the principle of solving the problem of the embodiment of the device is similar to that of the embodiment of the method, the implementation of the embodiment of the device can be referred to the implementation of the embodiment of the method, and the repetition is omitted.

Fig. 9 shows a schematic diagram of a data processing apparatus in an embodiment of the disclosure.

It should be noted that the data processing device in the embodiment of the present disclosure is applied to the visited place data analysis function H-NWDAF network element.

As shown in fig. 9, the data processing apparatus 900 may include:

a first receiving module 99, configured to receive a first data analysis request sent by a service consumption network element;

a first determining module 920, configured to determine whether the terminal related to the first data analysis request is a roaming terminal;

a first sending module 930, configured to send a second data analysis request to a roaming place network data analysis function V-NWDAF network element corresponding to the roaming terminal when it is determined that the terminal related to the first data analysis request is a roaming terminal, where the second data analysis request is generated based on the first data analysis request;

a second receiving module 940, configured to receive a model subscription request sent by a V-NWDAF network element;

and a second sending module 950, configured to send the model subscription information to the V-NWDAF network element, so that the V-NWDAF network element analyzes data corresponding to the second data analysis request based on the subscribed model, and obtains an analysis result.

The data processing device provided by the embodiment of the present disclosure receives a first data analysis request sent by a serving and consuming network element, determines whether a terminal related to the first data analysis request is a roaming terminal, and if the terminal related to the first data analysis request is determined to be the roaming terminal, receives the first data analysis request sent by the serving and consuming network element, determines whether the terminal related to the first data analysis request is a roaming terminal, and if the terminal related to the first data analysis request is determined to be the roaming terminal, sends a second data analysis request to a roaming network data analysis function V-NWDAF network element corresponding to the roaming terminal, receives a model subscription request sent by the V-NWDAF network element, and sends model subscription information to the V-NWDAF network element, so that the V-nwf network element analyzes data corresponding to the second data analysis request based on a subscribed model, thereby obtaining an analysis result and realizing cross-network user data analysis.

In one embodiment of the present disclosure, the apparatus further comprises:

Fig. 10 shows a schematic diagram of a data processing apparatus in an embodiment of the disclosure.

It should be noted that the data processing device in the embodiment of the present disclosure is applied to the visited place data analysis function V-NWDAF network element.

As shown in fig. 10, the data processing apparatus 1000 may include:

a third receiving module 1010, configured to receive a second data analysis request sent by a home network data analysis function H-NWDAF network element, where the second data analysis request is generated by the H-NWDAF network element based on the first data analysis request sent by the service consumption network element;

a second determining module 1020 for determining, according to the second data analysis request, whether a model for analyzing data is provided by the H-NWDAF network element;

a third sending module 1030, configured to send a model subscription request to the H-NWDAF network element, based on determining that the model is provided by the H-NWDAF network element;

a fourth receiving module 1040, configured to receive model subscription information sent by an H-NWDAF network element;

the obtaining module 1050 is configured to obtain a corresponding model based on the model subscription information, and analyze data corresponding to the second data analysis request based on the model, so as to obtain an analysis result.

In one embodiment of the present disclosure, the data processing apparatus 1010 further comprises:

Those skilled in the art will appreciate that the various aspects of the present disclosure may be implemented as a system, method, or program product. Accordingly, various aspects of the disclosure may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" system.

An electronic device 1100 according to such an embodiment of the present disclosure is described below with reference to fig. 11. The electronic device 1100 shown in fig. 11 is merely an example and should not be construed as limiting the functionality and scope of use of the disclosed embodiments.

As shown in fig. 11, the electronic device 1100 is embodied in the form of a general purpose computing device. Components of electronic device 1100 may include, but are not limited to: the at least one processing unit 1110, the at least one memory unit 1120, a bus 1130 connecting the different system components, including the memory unit 1120 and the processing unit 1110.

Wherein the storage unit stores program code that is executable by the processing unit 1110 such that the processing unit 1110 performs steps according to various exemplary embodiments of the present disclosure described in the above-described "exemplary methods" section of the present specification. For example, the processing unit 1110 may perform the following steps of the method embodiment described above:

receiving a model subscription request sent by a V-NWDAF network element;

The storage unit 1120 may include a readable medium in the form of a volatile storage unit, such as a Random Access Memory (RAM) 11201 and/or a cache memory 11202, and may further include a Read Only Memory (ROM) 11203.

The storage unit 1120 may also include a program/utility 11204 having a set (at least one) of program modules 11205, such program modules 11205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.

The bus 1130 may be a local bus representing one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a bus using any of a variety of bus architectures.

The electronic device 1100 may also communicate with one or more external devices 1140 (e.g., keyboard, pointing device, bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 1100, and/or any devices (e.g., routers, modems, etc.) that enable the electronic device 1100 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 1150. Also, electronic device 1100 can communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 1160. As shown, network adapter 1160 communicates with other modules of electronic device 1100 via bus 1130. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 1100, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.

From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a terminal device, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.

In an exemplary embodiment of the present disclosure, a computer-readable storage medium, which may be a readable signal medium or a readable storage medium, is also provided. On which a program product is stored which enables the implementation of the method described above of the present disclosure. In some possible implementations, various aspects of the disclosure may also be implemented in the form of a program product comprising program code for causing a terminal device to carry out the steps according to the various exemplary embodiments of the disclosure as described in the "exemplary methods" section of this specification, when the program product is run on the terminal device.

More specific examples of the computer readable storage medium in the present disclosure may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

In this disclosure, a computer readable storage medium may include a data signal propagated in baseband or as part of a carrier wave, with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.

Alternatively, the program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

In particular implementations, the program code for carrying out operations of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).

It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.

Furthermore, although the steps of the methods in the present disclosure are depicted in a particular order in the drawings, this does not require or imply that the steps must be performed in that particular order or that all illustrated steps be performed in order to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform, etc.

From the description of the above embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a mobile terminal, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any adaptations, uses, or adaptations of the disclosure following the general principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

Claims

1. A data processing method, applied to a home network data analysis function H-NWDAF network element, comprising:

when the terminal related to the first data analysis request is determined to be the roaming terminal, sending a second data analysis request to a roaming place network data analysis function V-NWDAF network element corresponding to the roaming terminal, wherein the second data analysis request is generated based on the first data analysis request;

receiving a model subscription request sent by the V-NWDAF network element;

and sending the model subscription information to the V-NWDAF network element so that the V-NWDAF network element analyzes the data corresponding to the second data analysis request based on the subscription model to obtain an analysis result.

2. The data processing method according to claim 1, wherein the determining whether the terminal to which the first data analysis request relates is a roaming terminal comprises:

and sending the identification of the terminal contained in the first data analysis request to a home network element, so that the home network element determines whether the terminal is a roaming terminal based on the identification of the terminal.

3. The data processing method of claim 1, wherein the method further comprises:

and determining the V-NWDAF network element corresponding to the roaming place network corresponding to the roaming terminal based on a home network storage function H-NRF network element.

4. The data processing method of claim 1, wherein the method further comprises:

and sending the analysis result to a service consumption network element.

5. A data processing method, applied to a roaming place network data analysis function V-NWDAF network element, comprising:

receiving a second data analysis request sent by a home network data analysis function (H-NWDAF) network element, wherein the second data analysis request is generated by the H-NWDAF network element based on a first data analysis request sent by a service consumption network element;

on the basis of determining that the H-NWDAF network element provides the model, sending a model subscription request to the H-NWDAF network element;

receiving model subscription information sent by the H-NWDAF network element;

6. The data processing method of claim 5, wherein the method further comprises:

and sending the analysis result to the H-NWDAF network element so that the H-NWDAF network element sends the analysis result to a service consumption network element.

7. A data processing apparatus, for use in a home network data analysis function, H-NWDAF, network element, comprising:

a first sending module, configured to send a second data analysis request to a roaming place network data analysis function V-NWDAF network element corresponding to the roaming terminal, where the terminal related to the first data analysis request is determined to be the roaming terminal, and the second data analysis request is generated based on the first data analysis request;

a second receiving module, configured to receive a model subscription request sent by the V-NWDAF network element;

8. A data processing apparatus, for use with a roaming place network data analysis function V-NWDAF network element, comprising:

a third receiving module, configured to receive a second data analysis request sent by a home network data analysis function H-NWDAF network element, where the second data analysis request is generated by the H-NWDAF network element based on a first data analysis request sent by a service consumption network element;

a second determining module, configured to determine, according to the second data analysis request, whether a model for analyzing data is provided by the H-NWDAF network element;

a third sending module, configured to send a model subscription request to the H-NWDAF network element, based on determining that the H-NWDAF network element provides the model;

a fourth receiving module, configured to receive model subscription information sent by the H-NWDAF network element;

9. An electronic device, comprising:

a processor; and

a memory for storing executable instructions of the processor;

Wherein the processor is configured to perform the data processing method of any one of claims 1 to 6 via execution of the executable instructions.

10. A computer-readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the data processing method of any one of claims 1 to 6.