CN111800776A - Data processing method and device - Google Patents

Data processing method and device Download PDF

Info

Publication number
CN111800776A
CN111800776A CN201910276597.5A CN201910276597A CN111800776A CN 111800776 A CN111800776 A CN 111800776A CN 201910276597 A CN201910276597 A CN 201910276597A CN 111800776 A CN111800776 A CN 111800776A
Authority
CN
China
Prior art keywords
network element
terminal
analysis result
data
data analysis
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201910276597.5A
Other languages
Chinese (zh)
Other versions
CN111800776B (en
Inventor
崇卫微
辛阳
吴晓波
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Huawei Technologies Co Ltd
Original Assignee
Huawei Technologies Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Huawei Technologies Co Ltd filed Critical Huawei Technologies Co Ltd
Priority to CN201910276597.5A priority Critical patent/CN111800776B/en
Priority to PCT/CN2020/079817 priority patent/WO2020207213A1/en
Publication of CN111800776A publication Critical patent/CN111800776A/en
Application granted granted Critical
Publication of CN111800776B publication Critical patent/CN111800776B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W8/00Network data management
    • H04W8/02Processing of mobility data, e.g. registration information at HLR [Home Location Register] or VLR [Visitor Location Register]; Transfer of mobility data, e.g. between HLR, VLR or external networks
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W8/00Network data management
    • H04W8/02Processing of mobility data, e.g. registration information at HLR [Home Location Register] or VLR [Visitor Location Register]; Transfer of mobility data, e.g. between HLR, VLR or external networks
    • H04W8/08Mobility data transfer

Abstract

The application discloses a data processing method, which comprises the following steps: the first data analysis network element receives a first request sent by a first functional network element, wherein the first request is used for requesting a first analysis result of the terminal, the first data analysis network element further determines that the terminal is a roaming terminal, generates the first analysis result of the terminal according to the first request, and feeds back the first analysis result to the first functional network element through a first response. According to the embodiment of the application, the relevant data of the roaming terminal can be analyzed, and the analysis result is generated, so that the integrity and the accuracy of the analysis result relevant to the roaming terminal are ensured.

Description

Data processing method and device
Technical Field
The present application relates to the field of communications technologies, and in particular, to a method and an apparatus for data processing.
Background
The communication standard of the third generation partnership project (3 GPP) starts from R15, and a network data analysis function (NWDAF) network element is introduced into a communication network, and the NWDAF network element provides a data collection and data analysis function, which can feed back a data analysis result to a Network Function (NF) network element, an Application Function (AF) network element, or an operation management and maintenance (OAM) network element or User Equipment (UE) in the network, which may also be referred to as a terminal, so that the NF network element, the AF network element, the OAM network element, or the UE performs implementation or enhancement of a service flow based on the data analysis result. For example, a Session Management Function (SMF) network element performs enhancement of UPF selection based on a data analysis result of a User Plane Function (UPF) network element load fed back by an NWDAF network element. For another example, a Policy Control Function (PCF) network element performs enhancement of Quality of Service (QoS) parameter generation based on a data analysis result of a Mean Opinion Score (MOS) of an application fed back by an NWDAF network element.
The prior art does not provide a data analysis method of a terminal in a roaming scene.
Disclosure of Invention
The embodiment of the application provides a data processing method and device, which are used for realizing data analysis of a terminal in a roaming scene.
A first aspect of the present application provides a data processing method, which may include: a first data analysis network element receives a first request sent by a first functional network element, wherein the first request is used for requesting a first analysis result of a terminal; the first data analysis network element determines that the terminal is a roaming terminal; the first data analysis network element generates the first analysis result of the terminal according to the first request; the first data analysis network element sends a first response to the first functional network element, where the first response includes the first analysis result, and the first response further includes first indication information or home identification information of the terminal, and the first indication information is used to indicate that the first data analysis result is generated for a roaming terminal.
The first data analysis network element and the first functional network element in the above first aspect belong to a visited place of the terminal. As can be seen from the above first aspect, the first data analysis network element may analyze data of the roaming terminal, thereby ensuring integrity and accuracy of an analysis result related to the roaming terminal.
With reference to the first aspect, in a first possible implementation manner, the first request includes second indication information or/and home identifier information of the terminal, where the second indication information is used to indicate that the terminal is a roaming terminal; the determining, by the first data analysis network element, that the terminal is a roaming terminal may include: and the first data analysis network element determines that the terminal is a roaming terminal according to the second indication information or/and the attribution identification information of the terminal.
As can be seen from the first possible implementation manner of the first aspect, the roaming terminal can be quickly determined through the second indication information or/and the attribution identification information of the terminal, so that the data processing speed can be increased.
In a second possible implementation manner, with reference to the first aspect or the first aspect, the method may further include: the first data analysis network element receives first data of the terminal from a second functional network element, wherein the second functional network element belongs to a visited place where the terminal is located; the generating, by the first data analysis network element, the first analysis result of the terminal may include: and the first data analysis network element generates the first analysis result according to the first data.
The second functional network element may be the same network element as the first functional network element or may be a different network element. The first data may be data related to a service, or may be other types of data, where the type of the first data is related to the first analysis result, the analysis result may be multiple, and the content of the first data may be different according to different analysis results. As can be seen from the second possible implementation manner of the first aspect, the first analysis result may be generated according to the first data of the visited place, and diversity, integrity and accuracy of the analysis result of the roaming terminal may be added.
With reference to the first aspect or the first aspect, in a third possible implementation manner, the method may further include: the first data analysis network element receives second data of the terminal from a third functional network element, wherein the third functional network element belongs to the attribution place of the terminal; the generating, by the first data analysis network element, the first analysis result of the terminal may include: and the first data analysis network element generates the first analysis result according to the second data.
The second data may be data related to a service or other types of data, the type of the second data is related to the first analysis result, the analysis results may be various, and the content of the second data may be different according to different analysis results. As can be seen from the third possible implementation manner of the first aspect, the third functional network element belongs to a home location of the terminal, and the first analysis result may be generated according to the second data of the home location, so as to add diversity, integrity and accuracy of the analysis result of the roaming terminal.
With reference to the first aspect or the first aspect, in a fourth possible implementation manner, the method may further include: the first data analysis network element receives a second analysis result of the terminal from a second data analysis network element or a first data storage network element, wherein the second data analysis network element or the first data storage network element belongs to a home of the terminal; the generating, by the first data analysis network element, the first analysis result of the terminal may include: and the first data analysis network element generates the first analysis result according to the second analysis result.
The type of the analysis result corresponding to the second analysis result may be the same as the type of the analysis result corresponding to the first analysis result. For example, the first analysis result refers to a service MOS analysis result for application1 of a certain terminal, and the second analysis result also refers to a service MOS analysis result for application1 of the terminal. As can be seen from the fourth possible implementation manner of the first aspect, the first analysis result may be generated according to the second analysis result of the home location, and diversity, integrity and accuracy of the analysis result of the roaming terminal may be increased.
With reference to the fourth possible implementation manner of the first aspect, in a fifth possible implementation manner, the second analysis result is an analysis result generated by the second data analysis network element on the terminal or the roaming terminal group to which the terminal belongs in the home location.
The second, third or fourth generation schemes of the first analysis result described in the first aspect may be combined, that is, the first analysis result may be generated according to the first data and the second data, the first analysis result may be generated according to the first data and the second analysis result, the first analysis result may be generated according to the second data and the second analysis result, and the first analysis result may be generated according to the first data, the second data and the second analysis result.
With reference to the fourth or fifth possible implementation manner of the first aspect, in a sixth possible implementation manner, the method may further include: and the first data analysis network element determines the second data analysis network element or the first data storage network element according to the attribution identification information of the terminal.
The second data analysis network element may be a home location NWDAF, and the first data storage network element may be a home location Unified Device Management (UDM)/User Database (UDR). As can be seen from the sixth possible implementation manner, the addressing can be performed according to the attribution identification information of the terminal, so that the second data analysis network element or the first data storage network element of the attribution of the terminal is determined quickly.
With reference to the fourth, fifth, or sixth possible implementation manner of the first aspect, in a seventh possible implementation manner, the method may further include: the first data analysis network element sends a second request to the second data analysis network element or the first data storage network element, where the second request is used to request the second analysis result; the receiving, by the first data analysis network element, a second analysis result from the terminal of the second data analysis network element or the first data storage network element may include: and the first data analysis network element receives a second response sent by the second data analysis network element or the first data storage network element, wherein the second response comprises the second analysis result.
With reference to the seventh possible implementation manner of the first aspect, in an eighth possible implementation manner, the second request includes visited place identification information of a visited place where the terminal is located.
With reference to the seventh possible implementation manner of the first aspect, in a ninth possible implementation manner, the second response further includes the attribution identification information.
With reference to the first aspect and any one of the first to ninth possible implementation manners of the first aspect, in a tenth possible implementation manner, the first response further includes visited location identification information of a visited location where the terminal is located.
The visited place identification information indicates that the first analysis result is generated for a roaming terminal roaming to the current visited place. Therefore, when the first functional network element designates the enhancement strategy for the roaming terminal, the first functional network element can conveniently and quickly find the corresponding first analysis result.
With reference to the first aspect and any one of the first to the tenth possible implementation manners of the first aspect, in an eleventh possible implementation manner, the method may further include: and the first data analysis network element sends the first analysis result to a third data analysis network element or a second data storage network element, wherein the third data analysis network element or the second data storage network element belongs to the attribution of the terminal.
The third data analysis network element and the second data analysis network element may be the same network element, and the second data storage network element and the first data storage network element may be the same network element. The first data analysis result is stored in the attribution place, which is beneficial to effectively managing the analysis result related to the roaming terminal.
With reference to the eleventh possible implementation manner of the first aspect, in a twelfth possible implementation manner, the method may further include: and the first data analysis network element sends the visiting place identification information of the visiting place where the terminal is located to the third data analysis network element or the second data storage network element.
The visiting place identification information can be associated with the first analysis result, so that the first analysis result is expressed as the analysis result generated at the visiting place, and the classification management of the analysis result is facilitated.
With reference to the first aspect and any one of the first to twelfth possible implementation manners of the first aspect, in a thirteenth possible implementation manner, the first analysis result is an analysis result of a roaming terminal group to which the terminal belongs.
The first analysis result may be an analysis result of a single terminal, or an analysis result of the roaming terminal group of the terminal, and when the analysis result of the roaming terminal group is obtained, the first analysis result may be a common feature extracted from the analysis result of each terminal of the group.
With reference to the first aspect and any one of the first to the thirteenth possible implementation manners of the first aspect, in a fourteenth possible implementation manner, the attribution identification information includes one or more of the following information: public land mobile network identification information of the home, identification information of a data analysis network element of the home, or regional information of the home.
With reference to the first aspect and any one of the first to the fourteenth possible implementation manners of the first aspect, in a fifteenth possible implementation manner, the visited identification information includes one or more of the following information: public land mobile network identification information of the visited place, identification information of a data analysis network element of the visited place, or area information of the visited place.
With reference to the first aspect and any one of the first to fifteenth possible implementation manners of the first aspect, in a sixteenth possible implementation manner, the terminal includes a single terminal or a terminal group.
With reference to the first aspect and any one of the first to sixteenth possible implementation manners of the first aspect, in a seventeenth possible implementation manner, the first analysis result is used by the first functional network element to make an enhancement policy according to the first analysis result.
In an eighteenth possible implementation manner, with reference to the first aspect and any one of the first to seventeenth possible implementation manners of the first aspect, the first analysis result is service experience evaluation data of the terminal, and the first functional network element is a policy control functional network element, and the first analysis result is used by the policy control functional network element to make a service quality enhancement policy for a service of the terminal according to the service experience evaluation data of the terminal.
In a nineteenth possible implementation manner, with reference to the first aspect and any one of the first to seventeenth possible implementation manners of the first aspect, in a case that the first analysis result is mobility analysis data of the terminal, and the first functional network element is a mobility management functional network element, the first analysis result is used by the mobility management functional network element to make a mobility management enhancement policy for the terminal according to the mobility analysis data of the terminal.
In a twentieth possible implementation manner, with reference to the first aspect and any one of the first to the seventeenth possible implementation manners of the first aspect, in a twenty possible implementation manner, the first analysis result is expected behavior analysis data of the terminal, and the first functional network element is a session management functional network element, where the first analysis result is used by the session management functional network element to make a session management enhancement policy for the terminal according to the expected behavior analysis data of the terminal.
With reference to the first aspect and any one of the first to the twentieth possible implementation manners of the first aspect, in a twenty-first possible implementation manner, the first request further includes a type of the first analysis result; the generating, by the first data analysis network element, the first analysis result of the terminal according to the first request may include: and the first data analysis network element generates the first analysis result of the terminal according to the type of the first analysis result.
As can be seen from the twenty-first possible implementation manner of the first aspect, the first analysis result generated according to the type of the first analysis result has stronger pertinence, and is more favorable for the first functional network element to formulate a corresponding enhancement policy.
A second aspect of the present application provides a data processing method, which may include: a first functional network element sends a first request to a first data analysis network element, wherein the first request is used for requesting a first analysis result of a terminal; the first functional network element receives a first response sent by the first data analysis network element, where the first response includes the first analysis result, and the first response further includes first indication information or attribution identification information of the terminal, and the first indication information is used to indicate that the first data analysis result is generated for a roaming terminal.
The first data analysis network element and the first functional network element in the second aspect described above belong to a visited place of the terminal. As can be seen from the second aspect, the first functional network element may request that the first data analysis network element may analyze the data of the roaming terminal, thereby ensuring the integrity and accuracy of the analysis result related to the roaming terminal.
With reference to the second aspect, in a first possible implementation manner, the first response further includes visited location identification information of a visited location where the terminal is located.
The visited place identification information indicates that the first analysis result is generated for a roaming terminal roaming to the current visited place. Therefore, when the first functional network element designates the enhancement strategy for the roaming terminal, the first functional network element can conveniently and quickly find the corresponding first analysis result.
In a second possible implementation manner, with reference to the second aspect or the first possible implementation manner of the second aspect, the first request includes second indication information or/and attribution identification information of the terminal, where the second indication information is used to indicate that the terminal is a roaming terminal.
As can be seen from the second possible implementation manner of the second aspect, the first data analysis network element can quickly determine the roaming terminal through the second indication information or/and the attribution identification information of the terminal, so that the data processing speed can be increased.
In combination with the second possible implementation manner of the second aspect, in a third possible implementation manner, the method may further include: the first functional network element determines that the terminal is a roaming terminal; or, the first functional network element determines the home identification information of the terminal.
As can be seen from the third possible implementation manner of the second aspect, after the first functional network element determines that the terminal is a roaming terminal, the first request may include the second indication information, or after the first functional network element determines that the terminal belongs to the identification information, the first request may directly include the identification information of the home location, so that the first data analysis network element is favorable to quickly perform data processing.
With reference to the third possible implementation manner of the second aspect, in a fourth possible implementation manner, the determining, by the first functional network element, home identifier information of the terminal may include: the first functional network element acquires subscription data of the terminal, wherein the subscription data of the terminal comprises attribution identification information of the terminal; and the first functional network element determines attribution identification information of the terminal according to the subscription data of the terminal.
As can be seen from the fourth possible implementation manner of the second aspect, the first functional network element may quickly determine the attribution identification information of the terminal according to the subscription data of the terminal.
In a fifth possible implementation manner, with reference to the third possible implementation manner of the second aspect, in a possible implementation manner, the determining, by the first functional network element, home identifier information of the terminal may include: the first functional network element sends a request message for requesting home location identification information of the terminal to a network storage function (NRF) network element, where the request message includes one or more of the following information: identification information of the terminal, identification information of a home public land network of the terminal, and home region information of the terminal; the first functional network element receives a response message sent by the NRF network element, wherein the response message contains attribution identification information of the terminal; and the first functional network element determines the attribution identification information of the terminal according to the response message sent by the NRF network element.
As can be seen from the fifth possible implementation manner of the second aspect, the first functional network element may directly request the home identifier information of the terminal.
In a sixth possible implementation manner, with reference to the second aspect and any one of the first to fifth possible implementation manners of the second aspect, the first analysis result is an analysis result of a roaming terminal group to which the terminal belongs.
The first analysis result may be an analysis result of a single terminal, or an analysis result of the roaming terminal group of the terminal, and when the analysis result of the roaming terminal group is obtained, the first analysis result may be a common feature extracted from the analysis result of each terminal of the group.
With reference to the second aspect and any one of the first to the sixth possible implementation manners of the second aspect, in a seventh possible implementation manner, the attribution identification information includes one or more of the following information: public land mobile network identification information of the attribution, identification information of a data analysis network element of the attribution, and regional information of the attribution.
With reference to the second aspect and any one of the first to the seventh possible implementation manners of the second aspect, in an eighth possible implementation manner, the visited identification information includes one or more of the following information: public land mobile network identification information of the visited place, identification information of a data analysis network element of the visited place, and area information of the visited place.
In a ninth possible implementation manner, with reference to the second aspect and any one of the first to eighth possible implementation manners of the second aspect, the terminal includes a single terminal or a terminal group.
With reference to the second aspect and any one of the first to ninth possible implementation manners of the second aspect, in a tenth possible implementation manner, the method may further include: and the first functional network element makes an enhancement strategy according to the first analysis result.
As can be seen from the tenth possible implementation manner of the second aspect, the first functional network element may formulate an enhancement policy according to the first analysis result, which may be beneficial to improving the quality of service related to the roaming terminal.
In an eleventh possible implementation manner, with reference to the second aspect and any one of the first to tenth possible implementation manners of the second aspect, the first functional network element is a policy control functional network element, the first analysis result is service experience evaluation data of the terminal, and the policy control functional network element makes a service quality enhancement policy for a service of the terminal according to the service experience evaluation data of the terminal.
In a twelfth possible implementation manner, with reference to the second aspect and any one of the first to tenth possible implementation manners of the second aspect, the first functional network element is a mobility management functional network element, the first analysis result is mobility analysis data of the terminal, and the mobility management functional network element makes a mobility management enhancement policy for the terminal according to the mobility analysis data of the terminal.
In a thirteenth possible implementation manner, with reference to the second aspect and any one of the first to tenth possible implementation manners of the second aspect, the first functional network element is a session management functional network element, the first analysis result is analysis data of an expected behavior of the terminal, and the session management functional network element makes a session management enhancement policy for the terminal according to the analysis data of the expected behavior of the terminal.
With reference to the second aspect and any one of the first to the thirteenth possible implementation manners of the second aspect, in a fourteenth possible implementation manner, the first request further includes a type of the first analysis result, and the type of the first analysis result is used by the first data analysis network element to generate the first analysis result of the terminal.
As can be seen from the fourteenth possible implementation manner of the second aspect, the first analysis result generated according to the type of the first analysis result has stronger pertinence, and is more favorable for the first functional network element to formulate a corresponding enhancement policy.
A third aspect of the present application provides a data processing method, which may include: a second data analysis network element or a first data storage network element receives a second request sent by a first data analysis network element, wherein the second request is used for requesting a second analysis result of a terminal, the second data analysis network element or the first data storage network element belongs to a home location of the terminal, and the first data analysis network element belongs to a visited location where the terminal is located; the second data analysis network element or the first data storage network element determines a second analysis result of the terminal according to the second request; and the second data analysis network element or the first data storage network element sends a second response to the first data analysis network element, wherein the second response comprises the second analysis result.
The second data analysis network element may be a home NWDAF/(management data analytical system, MDAS) and the first data storage network element may be a home UDM/UDR. The second data analysis network element or the first data storage network element can provide a second analysis result for the first data analysis network element, so that the first data analysis network element can be favorable for increasing the diversity, the integrity and the accuracy of the analysis result of the roaming terminal.
With reference to the third aspect, in a first possible implementation manner, the second analysis result is an analysis result that is generated by the second data analysis network element at the home location for the terminal or the roaming terminal group to which the terminal belongs.
With reference to the third aspect, in a second possible implementation manner, the second analysis result is an analysis result that is generated by the first data analysis network element on the visited place for the terminal or the roaming terminal group to which the terminal belongs. The second analysis result here refers to the result of the analysis that the first data analysis network element generated at the visited place for the terminal or the roaming terminal group to which the terminal belongs and sent and stored in the home place.
With reference to the second possible implementation manner of the third aspect, in a third possible implementation manner, the second response further includes visited identification information corresponding to the first data analysis network element.
With reference to the third aspect, in a fourth possible implementation manner, the second analysis result is an analysis result that is generated by a fourth data analysis network element at a visited place, corresponding to the terminal or the roaming terminal group to which the terminal belongs, of the fourth data analysis network element, where the visited place corresponding to the fourth data analysis network element is different from the visited place corresponding to the first data analysis network element or the second data analysis network element. The second analysis result here refers to the result of the analysis that the fourth data analysis network element generated at the visited place for the terminal or the roaming terminal group to which the terminal belongs and sent and stored in the home place.
With reference to the fourth possible implementation manner of the third aspect, in a fifth possible implementation manner, the second response further includes visited identification information corresponding to the fourth data analysis network element.
With reference to any one of the first to fifth possible implementation manners of the third aspect, in a sixth possible implementation manner, the second response further includes home identification information of the terminal.
With reference to the third aspect and any one of the first to sixth possible implementation manners of the third aspect, in a seventh possible implementation manner, the second request further includes visited location identification information of a visited location where the terminal is located.
With reference to the seventh possible implementation manner of the third aspect, in an eighth possible implementation manner, the determining, by the second data analysis network element or the first data storage network element, the second analysis result of the terminal according to the second request may include determining, by the second data analysis network element or the first data storage network element, the second analysis result of the terminal according to visited place identification information of a visited place where the terminal is located.
According to the eighth implementation manner, when the second data analysis network element or the first data storage network element stores the analysis results from multiple visited places, the second data analysis network element or the first data storage network element can quickly locate the corresponding second analysis result by using the visited place identification information of the visited place where the terminal is located, so that the feedback speed is increased.
With reference to the third aspect and any one of the first to eighth possible implementation manners of the third aspect, in a ninth possible implementation manner, the method further includes: the second data analysis network element or the first data storage network element receives the first analysis result sent by the first data analysis network element; and the second data analysis network element or the first data storage network element stores the first analysis result.
With reference to the third aspect and any one of the first to ninth possible implementation manners of the third aspect, in a tenth possible implementation manner, the first analysis result is an analysis result of a roaming terminal group to which the terminal belongs.
With reference to the ninth possible implementation manner or the tenth possible implementation manner of the third aspect, in an eleventh possible implementation manner, the method may further include: and the second data analysis network element or the data storage network element receives the visitor location identification information of the visitor location where the terminal is located, which is sent by the first data analysis network element.
With reference to the third aspect and any one of the first to eleventh possible implementation manners of the third aspect, in a twelfth possible implementation manner, the attribution identification information includes one or more of the following information: public land mobile network identification information of the attribution, identification information of a data analysis network element of the attribution, and regional information of the attribution.
With reference to the third aspect and any one of the first to twelfth possible implementation manners of the third aspect, in a thirteenth possible implementation manner, the visited identification information includes one or more of the following information: public land mobile network identification information of the visited place, identification information of a data analysis network element of the visited place, and area information of the visited place.
With reference to the third aspect and any one of the first to the thirteenth possible implementation manners of the third aspect, in a fourteenth possible implementation manner, the terminal includes a single terminal or a terminal group.
A fourth aspect of the present application provides a data processing method, which may include: a first data analysis network element receives a first request sent by a first functional network element, wherein the first request is used for requesting a first analysis result; the first data analysis network element generates the first analysis result aiming at the roaming terminal group; the first data analysis network element sends a first response to the first functional network element, where the first response includes the first analysis result, and the first response further includes first indication information or home identification information, where the first indication information is used to indicate that the first data analysis result is generated for a roaming terminal group, and the home identification information is used to indicate that the first data analysis result is generated for the roaming terminal group in the home.
The first data analysis network element and the first functional network element in the fourth aspect belong to a visited place of the terminal. The home identification information may indicate a home from which the roaming terminal group is derived. As can be seen from the fourth aspect, when the first request does not carry the specific terminal identifier or the specific terminal group identifier, that is, the first request does not precisely define the analysis object, the first data analysis network element may also distinguish the analysis object, that is, collect and analyze the related data of the roaming terminal group separately, and obtain the first analysis result applicable to the roaming terminal group, so as to ensure that the subsequent first functional network element knows that the specific applicable object of the first analysis result is the roaming terminal, and further ensure that the enhancement policy formulated according to the first analysis result is more precisely applicable to the roaming terminal.
With reference to the fourth aspect, in a first possible implementation manner, the first request further includes type identification information of the first analysis result, where the type identification information is used to identify a type of the first analysis result; the generating, by the first data analysis network element, the first analysis result for a roaming terminal group may include: and the first data analysis network element generates the first analysis result corresponding to the type identification information of the roaming terminal group according to the first request.
As can be seen from the first possible implementation manner of the fourth aspect, the type identification information is used to explicitly define the type of the generated first analysis result, so that the first data analysis network element knows which kind of analysis result specifically needs to be generated.
In a second possible implementation manner, with reference to the fourth aspect or the first possible implementation manner of the fourth aspect, the first request includes second indication information or/and the home identifier information, where the second indication information is used to indicate that the first request is used to request a first analysis result of a roaming terminal group, and the home identifier information is used to indicate that the first request is used to request a first analysis result of a roaming terminal group from a home to which the home identifier information corresponds.
With reference to the fourth aspect, the first possible implementation manner or the second possible implementation manner of the fourth aspect, in a third possible implementation manner, the method may further include: and the first data analysis network element determines the roaming terminal group.
In a fourth possible implementation manner, with reference to the third possible implementation manner of the fourth aspect, in a fourth possible implementation manner, the determining, by the first data analysis network element, the roaming terminal group may include: and the first data analysis network element determines the roaming terminal group according to the second indication information or/and the attribution identification information.
With reference to the fourth aspect and any one of the first to the fourth possible implementation manners of the fourth aspect, in a fifth possible implementation manner, the method may further include: the first data analysis network element receives first data of the roaming terminal group from a second functional network element, wherein the second functional network element belongs to a visited place where the roaming terminal group is located; the generating, by the first data analysis network element, the first analysis result for a roaming terminal group may include: and the first data analysis network element generates the first analysis result according to the first data.
The first data may be data for the entire roaming terminal group or data for individual terminals in the roaming terminal group. The second functional network element may be the same network element as the first functional network element or may be a different network element. The first data may be data related to a specific service type, or may be other types of data, where the type of the first data is related to the first analysis result, the analysis results may be various, and different analysis results may correspond to different contents included in the required first data. As can be seen from the second possible implementation manner of the fourth aspect, the first analysis result may be generated according to the first data of the visited place, so as to add diversity, integrity and accuracy to the analysis result of the roaming terminal group.
With reference to the fourth aspect and any one of the first to the fourth possible implementation manners of the fourth aspect, in a sixth possible implementation manner, the method may further include: the first data analysis network element receives second data of the roaming terminal group from a third functional network element, wherein the third functional network element belongs to the attribution of the roaming terminal group; the generating, by the first data analysis network element, the first analysis result for a roaming terminal group may include: and the first data analysis network element generates the first analysis result according to the second data.
The second data may be data related to a service or other types of data, the type of the second data is related to the first analysis result, the analysis results may be various, and the content of the second data may be different according to different analysis results. As can be seen from the sixth possible implementation manner of the fourth aspect, the third functional network element belongs to a home location of the roaming terminal group, and the first analysis result may be generated according to the second data of the home location, so as to add diversity, integrity and accuracy of the analysis result of the roaming terminal group.
With reference to the fourth aspect and any one of the first to the fourth possible implementation manners of the fourth aspect, in a seventh possible implementation manner, the method may further include: the first data analysis network element receives a second analysis result of the roaming terminal group from a second data analysis network element or a first data storage network element, wherein the second data analysis network element or the first data storage network element belongs to a home of the roaming terminal group; the generating, by the first data analysis network element, the first analysis result for a roaming terminal group may include: and the first data analysis network element generates the first analysis result according to the second analysis result.
As can be seen from the seventh possible implementation manner of the fourth aspect, the first analysis result may be generated according to the second analysis result of the home location, and diversity, integrity and accuracy of the analysis result of the roaming terminal group may be increased.
In an eighth possible implementation manner, with reference to the seventh possible implementation manner of the fourth aspect, the second analysis result is an analysis result generated by the second data analysis network element in the attribution, and a type of the analysis result corresponding to the second analysis result is the same as a type of the analysis result corresponding to the first analysis result.
In a ninth possible implementation manner, with reference to the seventh possible implementation manner of the fourth aspect, in a ninth possible implementation manner, the second analysis result is an analysis result that the first data analysis network element generates at the visited location for the roaming terminal group.
In a tenth possible implementation manner, with reference to the seventh possible implementation manner of the fourth aspect, the second analysis result is an analysis result that a fourth data analysis network element generates, to the roaming terminal group, an access place corresponding to the fourth data analysis network element, where the access place corresponding to the fourth data analysis network element is different from an access place corresponding to the first data analysis network element or the second data analysis network element.
The generation schemes of the first analysis result described in the fifth, sixth or seventh aspect of the fourth aspect described above may be combined, that is, the first analysis result may be generated according to the first data and the second data, the first analysis result may be generated according to the first data and the second analysis result, the first analysis result may be generated according to the second data and the second analysis result, and the first analysis result may be generated according to the first data, the second data and the second analysis result.
With reference to any one of the sixth to tenth possible implementation manners of the fourth aspect, in an eleventh possible implementation manner, the method may further include: and the first data analysis network element determines the second data analysis network element or the first data storage network element according to the attribution identification information of the roaming terminal group.
The second data analysis network element may be a home NWDAF/MDAS and said first data storage network element may be a home UDM/UDR. As can be seen from the sixth possible implementation manner, the addressing can be performed according to the attribution identification information of the roaming terminal group, so that the second data analysis network element or the first data storage network element of the attribution of the roaming terminal group is quickly determined.
With reference to any one of the sixth to eleventh possible implementation manners of the fourth aspect, in a twelfth possible implementation manner, the method may further include: the first data analysis network element sends a second request to the second data analysis network element or the first data storage network element, where the second request is used to request the second analysis result; the receiving, by the first data analysis network element, a second analysis result of the roaming terminal group from a second data analysis network element or a first data storage network element may include: and the first data analysis network element receives a second response sent by the second data analysis network element or the first data storage network element, wherein the second response comprises the second analysis result.
In a thirteenth possible implementation manner, in combination with the twelfth possible implementation manner of the fourth aspect, the second request includes visited location identification information of a visited location where the roaming terminal group is located.
In a fourteenth possible implementation manner, with reference to the twelfth possible implementation manner of the fourth aspect, in a possible implementation manner, the second response further includes the home identifier information.
In a fifteenth possible implementation manner, with reference to the sixth, twelfth possible implementation manner of the fourth aspect, the second analysis result is an analysis result that is stored in the second data analysis network element or the first data storage network element and is from a visited place to which the roaming terminal group has visited.
The type identifier of the second analysis result may be the same as the type identifier of the first analysis result. For example, the first analysis result is an application service MOS analysis result, and the analysis result of the visited place where the roaming terminal group has been visited refers to an analysis result of the application service MOS of the roaming terminal group from the visited place where the roaming terminal group has been visited.
In a sixteenth possible implementation manner, with reference to the sixth possible implementation manner of the fourth aspect, in a sixteenth possible implementation manner, the second response further includes visited place identification information of the visited place that was visited.
In a seventeenth possible implementation manner, with reference to the fourth aspect and any one of the first to sixteenth possible implementation manners of the fourth aspect, the first response further includes visited location identification information of a visited location where the roaming terminal group is located.
The visited place identification information indicates that the first analysis result is generated for a roaming terminal group roaming to the current visited place. Therefore, when the first functional network element formulates the corresponding enhancement strategy for the roaming terminal group, the first functional network element can conveniently and quickly find the corresponding first analysis result, and the accuracy of the formulated enhancement strategy is provided.
With reference to the fourth aspect and any one of the first to the seventeenth possible implementation manners of the fourth aspect, in an eighteenth possible implementation manner, the method may further include: and the first data analysis network element sends the first analysis result to a third data analysis network element or a second data storage network element, wherein the third data analysis network element or the second data storage network element belongs to the attribution of the roaming terminal group.
The third data analysis network element and the second data analysis network element may be the same network element, and the second data storage network element and the first data storage network element may be the same network element. The first data analysis result is stored in the attribution place, which is beneficial to effectively managing the analysis result related to the roaming terminal group.
In combination with the eighteenth possible implementation manner of the fourth aspect, in a nineteenth possible implementation manner, the method may further include: and the first data analysis network element sends the visited place identification information of the visited place where the roaming terminal group is located to the third data analysis network element or the second data storage network element.
The visited location identification information is used to indicate that the first analysis result is generated for a roaming terminal roaming to the visited location. The visiting place identification information can be associated with the first analysis result, so that the first analysis result is expressed as the analysis result generated at the visiting place, and the classification management of the analysis result is facilitated.
In a twentieth possible implementation manner, with reference to the fourth aspect or any one of the first to nineteenth possible implementation manners of the fourth aspect, the home identifier information includes one or more of the following information: public land mobile network identification information of the home, identification information of a data analysis network element of the home, or regional information of the home.
In a twenty-first possible implementation manner, with reference to the fourth aspect and any one of the first to the twentieth possible implementation manners of the fourth aspect, the visitor identification information includes one or more of the following information: public land mobile network identification information of the visited place, identification information of a data analysis network element of the visited place, or area information of the visited place.
In a twenty-second possible implementation manner, with reference to the fourth aspect and any one of the first to twenty-first possible implementation manners of the fourth aspect, the roaming terminal group includes a single roaming terminal group or multiple roaming terminal groups.
In a twenty-third possible implementation manner, with reference to the fourth aspect and any one of the first to twenty-second possible implementation manners of the fourth aspect, the first analysis result is used by the first functional network element to formulate an enhancement policy according to the first analysis result.
In a twenty-fourth possible implementation manner, with reference to the fourth aspect and any one of the first to the twenty-third possible implementation manners of the fourth aspect, the first analysis result is service experience evaluation data of the roaming terminal group, the first functional network element is a policy control functional network element, and the first analysis result is used by the policy control functional network element to make a service quality enhancement policy for the service of the roaming terminal group according to the service experience evaluation data of the roaming terminal group.
In a twenty-fifth possible implementation manner, with reference to the fourth aspect and any one of the first to the twenty-third possible implementation manners of the fourth aspect, the first analysis result is mobility analysis data of the roaming terminal group, and the first functional network element is a mobility management functional network element, and the first analysis result is used by the mobility management functional network element to make a mobility management enhancement policy for the roaming terminal group according to the mobility analysis data of the roaming terminal group.
In a twenty-sixth possible implementation manner, with reference to the fourth aspect and any one of the first to the twenty-third possible implementation manners of the fourth aspect, the first analysis result is analysis data of an expected behavior of the roaming terminal group, and the first functional network element is a session management functional network element, and the first analysis result is used by the session management functional network element to make a session management enhancement policy for the roaming terminal group according to the analysis data of the expected behavior of the roaming terminal group.
A fifth aspect of the present application provides a data processing method, which may include: a first functional network element sends a first request to a first data analysis network element, wherein the first request is used for requesting a first analysis result; the first functional network element receives a first response sent by the first data analysis network element, where the first response includes the first analysis result, and the first response further includes first indication information or home identification information, where the first indication information is used to indicate that the first data analysis result is generated for a roaming terminal group, and the home identification information is used to indicate that the first data analysis result is generated for the roaming terminal group in the home.
The first data analysis network element and the first functional network element in the fifth aspect belong to a visited place of a roaming terminal group. The home identification information may indicate a home from which the roaming terminal group is derived. As can be seen from the fifth aspect, when the first request does not carry the specific terminal identifier or the specific terminal group identifier, that is, the first request does not precisely define the analysis object, the data analysis network element may also distinguish the analysis object, that is, collect and analyze the related data of the roaming terminal group separately, and obtain the first analysis result applicable to the roaming terminal group, so as to ensure that the subsequent first functional network element knows that the specific applicable object of the first analysis result is the roaming terminal, and further ensure that the enhancement policy formulated according to the first analysis result is more precisely applicable to the roaming terminal.
With reference to the fifth aspect, in a first possible implementation manner, the first response further includes visited location identification information of a visited location where the roaming terminal group is located.
The visited place identification information indicates that the first analysis result is generated for a roaming terminal group roaming to the current visited place. Therefore, when the first functional network element designates the enhancement strategy for the roaming terminal, the first functional network element can conveniently and quickly find the corresponding first analysis result.
In a second possible implementation manner, with reference to the fifth aspect or the first possible implementation manner of the fifth aspect, the first request includes second indication information or/and the home identifier information, where the second indication information is used to indicate that the first request is used to request a first analysis result of a roaming terminal group, and the home identifier information is used to indicate that the first request is used to request a first analysis result of a roaming terminal group from a home to which the home identifier information corresponds.
With reference to the second possible implementation manner of the fifth aspect, in a third possible implementation manner, the method may further include: and the first functional network element determines the attribution identification information of the roaming terminal group.
As can be seen from the third possible implementation manner of the fifth aspect, after determining the attribution identification information of the roaming terminal group, the first functional network element may directly include the attribution identification information in the first request, so that the first data analysis network element is facilitated to perform data processing quickly.
With reference to the third possible implementation manner of the fifth aspect, in a fourth possible implementation manner, the determining, by the first functional network element, home identifier information of the roaming terminal group may include: the first functional network element acquires subscription data of the roaming terminal group, wherein the subscription data of the roaming terminal group comprises attribution identification information of the terminal; and the first functional network element determines attribution identification information of the roaming terminal group according to the subscription data of the roaming terminal group.
As can be seen from the fourth possible implementation manner of the fifth aspect, the first functional network element may quickly determine the attribution identification information of the terminal through the subscription data of the roaming terminal group. Certainly, in the determining process, the home identifier of each terminal may be determined terminal by terminal, and roaming terminals from the same home location may have the same home identifier information, that is, the home identifier information of the roaming terminal group.
With reference to the third possible implementation manner of the fifth aspect, in a fifth possible implementation manner, the determining, by the first functional network element, home identifier information of the roaming terminal group may include: the first functional network element sends a request message for requesting home location identification information of the roaming terminal group to a network storage function (NRF) network element, where the request message includes one or more of the following information: the identification information of the roaming terminal group, the attributive public land network identification information of the roaming terminal group and the attributive area information of the roaming terminal group; the first functional network element receives a response message sent by the NRF network element, wherein the response message contains attribution identification information in the roaming terminal group; and the first functional network element determines the attribution identification information of the roaming terminal group according to the response message sent by the NRF network element.
As can be seen from the fifth possible implementation manner of the fifth aspect, the first functional network element may directly request the home identifier information of the roaming terminal group.
With reference to the fifth aspect and any one of the first to fifth possible implementation manners of the fifth aspect, in a sixth possible implementation manner, the attribution identification information includes one or more of the following information: public land mobile network identification information of the attribution, identification information of a data analysis network element of the attribution, and regional information of the attribution.
With reference to the fifth aspect and any one of the first to the sixth possible implementation manners of the fifth aspect, in a seventh possible implementation manner, the visited identification information includes one or more of the following information: public land mobile network identification information of the visited place, identification information of a data analysis network element of the visited place, and area information of the visited place.
With reference to the fifth aspect and any one of the first to seventh possible implementation manners of the fifth aspect, in an eighth possible implementation manner, the method may further include: and the first functional network element makes an enhancement strategy according to the first analysis result.
As can be seen from the eighth possible implementation manner of the fifth aspect, the first functional network element may formulate an enhancement policy according to the first analysis result, which may be beneficial to improving the quality of service related to the roaming terminal group.
In a ninth possible implementation manner, with reference to the fifth aspect and any one of the first to eighth possible implementation manners of the fifth aspect, the first functional network element is a policy control functional network element, the first analysis result is service experience evaluation data of the roaming terminal group, and the policy control functional network element makes a service quality enhancement policy for the service of the roaming terminal group according to the service experience evaluation data of the roaming terminal group.
In a tenth possible implementation manner, with reference to the fifth aspect and any one of the first to eighth possible implementation manners of the fifth aspect, the first functional network element is a mobility management functional network element, the first analysis result is mobility analysis data of the roaming terminal group, and the mobility management functional network element makes a mobility management enhancement policy for the roaming terminal group according to the mobility analysis data of the roaming terminal group.
In a tenth possible implementation manner, with reference to the fifth aspect and any one of the first to eighth possible implementation manners of the fifth aspect, in an eleventh possible implementation manner, the first functional network element is a network element with a session management function, the first analysis result is expected behavior analysis data of the roaming terminal group, and the network element with the session management function makes a session management enhancement policy for the roaming terminal group according to the expected behavior analysis data of the roaming terminal group.
With reference to the fifth aspect and any one of the first to eleventh possible implementation manners of the fifth aspect, in a twelfth possible implementation manner, the first request further includes a type of the first analysis result, and the type of the first analysis result is used by the first data analysis network element to generate the first analysis result of the roaming terminal group.
The first analysis result generated according to the type of the first analysis result has stronger pertinence, and is more beneficial to the first functional network element to formulate a corresponding enhancement strategy.
A sixth aspect of the present application provides a method of data processing, which may include: a second data analysis network element or a first data storage network element receives a second request sent by a first data analysis network element, wherein the second request is used for requesting a second analysis result, the second data analysis network element or the first data storage network element belongs to a home location of a roaming terminal, and the first data analysis network element belongs to a visited location where the roaming terminal is located; the second data analysis network element or the first data storage network element determines the second analysis result according to the second request; and the second data analysis network element or the first data storage network element sends a second response to the first data analysis network element, wherein the second response comprises the second analysis result.
The second data analysis network element or the first data storage network element may provide the second analysis result for the first data analysis network element, so that the first data analysis network element is facilitated to increase diversity, integrity and accuracy of the analysis result of the roaming terminal group.
With reference to the sixth aspect, in a first possible implementation manner, the second request further includes type identification information of the second analysis result, where the type identification information is used to identify a type of the second analysis result; the determining, by the second data analysis network element or the first data storage network element, the second analysis result according to the second request may include: and the second data analysis network element or the first data storage network element determines the second analysis result corresponding to the type identification information according to the second request.
With reference to the sixth aspect or the first possible implementation manner of the sixth aspect, in a second possible implementation manner, the second request further includes visited place identification information of the visited place. The visitor location identification information is used to specify the identity of the second request sender, in other words, to inform the processing object of the second request of the request subject of the second data analysis result.
With reference to the second possible implementation of the sixth aspect, in a third possible implementation, the determining, by the second data analysis network element or the first data storage network element, the second analysis result according to the second request includes: and the second data analysis network element or the first data storage network element determines the second analysis result according to the visiting identifier information.
With reference to the sixth aspect and any one of the first to the third possible implementation manners of the sixth aspect, in a fourth possible implementation manner, the second analysis result is an analysis result generated by the second data analysis network element at the attribution, and an analysis result type corresponding to the second analysis result is the same as an analysis result type corresponding to the first analysis result.
With reference to the sixth aspect and any one of the first to the third possible implementation manners of the sixth aspect, in a fifth possible implementation manner, the second analysis result is an analysis result generated by the first data analysis network element on the visited place of the roaming terminal group. The second analysis result here refers to the result of the analysis that the first data analysis network element generated at the visited place for the terminal or the roaming terminal group to which the terminal belongs and sent and stored in the home place.
With reference to the sixth aspect and any one of the first to the third possible implementation manners of the sixth aspect, in a sixth possible implementation manner, the second analysis result is an analysis result generated by a fourth data analysis network element at a visited place, corresponding to the roaming terminal group, of the fourth data analysis network element, where the visited place corresponding to the fourth data analysis network element is different from a visited place corresponding to the first data analysis network element or the second data analysis network element. The second analysis result here refers to the result of the analysis that the fourth data analysis network element generated at the visited place for the terminal or the roaming terminal group to which the terminal belongs and sent and stored in the home place.
With reference to the sixth aspect and any one of the first to sixth possible implementation manners of the sixth aspect, in a seventh possible implementation manner, the second response further includes visited identification information corresponding to the first data analysis network element. And the visitor location identification information corresponding to the first data analysis network element is used for indicating a destination to which the second analysis result is sent.
With reference to the sixth aspect and any one of the first to sixth possible implementation manners of the sixth aspect, in an eighth possible implementation manner, the second response further includes home identification information of the home. The home identification information is used to indicate that the second analysis result is generated at the home.
With reference to the sixth aspect and any one of the first to the eighth possible implementation manners of the sixth aspect, in a ninth possible implementation manner, the method may further include: the second data analysis network element or the first data storage network element receives the first analysis result sent by the first data analysis network element; and the second data analysis network element or the first data storage network element stores the first analysis result.
After receiving the first analysis result, the second data analysis network element may store the first analysis result in itself, or forward the first analysis result to the first data storage network element or other storage devices for storage. The first analysis result is an analysis result generated by the first data analysis network element for a roaming terminal group roaming to the visited place.
With reference to the ninth possible implementation of the sixth aspect, in a tenth possible implementation, the method may further include: and the second data analysis network element or the first data storage network element receives the visited place identification information of the visited place, which is sent by the first data analysis network element.
In a tenth possible implementation manner, the visited identification information is used to indicate that the first analysis result is an analysis result generated by the first data analysis network element at the visited place for a roaming terminal group roaming to the visited place.
With reference to the sixth aspect or any one of the first to the tenth possible implementation manners of the sixth aspect, in an eleventh possible implementation manner, the attribution identification information includes one or more of the following information: public land mobile network identification information of the home, identification information of a data analysis network element of the home, or regional information of the home.
With reference to the sixth aspect and the first to eleventh possible implementation manners of the sixth aspect, in a twelfth possible implementation manner, the visited identification information includes one or more of the following information: public land mobile network identification information of the visited place, identification information of a data analysis network element of the visited place, or area information of the visited place.
A seventh aspect of the present application provides a data analysis network element, where the data analysis network element is configured to perform the method for data processing in the first aspect or any possible implementation manner of the first aspect. In particular, the data analysis network element may include a unit or a module for performing data processing in the first aspect or any possible implementation manner of the first aspect, such as: the device comprises a receiving unit, a sending unit and a processing unit.
An eighth aspect of the present application provides a functional network element, where the functional network element is configured to perform the method for data processing in the second aspect or any possible implementation manner of the second aspect. In particular, the functional network element may include a unit or a module for performing data processing in the second aspect or any possible implementation manner of the second aspect, such as: the device comprises a receiving unit, a sending unit and a processing unit.
A ninth aspect of the present application provides a network device, which may be a data analysis network element or a data storage network element, and is configured to execute the method for data processing in any possible implementation manner of the third aspect or the third aspect. In particular, the network apparatus may include a unit or a module for performing the data processing in the third aspect or any possible implementation manner of the third aspect, such as: the device comprises a receiving unit, a sending unit and a processing unit.
A tenth aspect of the present application provides a data analysis network element, where the data analysis network element is configured to perform the method for data processing in the fourth aspect or any possible implementation manner of the fourth aspect. In particular, the data analysis network element may include a unit or module for performing data processing in the fourth aspect or any possible implementation manner of the fourth aspect, such as: the device comprises a receiving unit, a sending unit and a processing unit.
An eleventh aspect of the present application provides a functional network element configured to perform the method of data processing in any possible implementation manner of the fifth aspect or the fifth aspect. In particular, the functional network element may include a unit or a module for performing data processing in the fifth aspect or any possible implementation manner of the fifth aspect, such as: the device comprises a receiving unit, a sending unit and a processing unit.
A twelfth aspect of the present application provides a network device, which may be a data analysis network element or a data storage network element, and is configured to execute the method for data processing in any possible implementation manner of the sixth aspect or the sixth aspect. In particular, the network apparatus may include a unit or a module for performing data processing in any possible implementation manner of the sixth aspect, such as: the device comprises a receiving unit, a sending unit and a processing unit.
A thirteenth aspect of the present application provides a data analysis network element, comprising: at least one processor, a memory, a transceiver, and computer executable instructions stored in the memory and executable on the processor, the processor performing the method according to the first aspect or any one of the possible implementations of the first aspect when the computer executable instructions are executed by the processor.
A fourteenth aspect of the present application provides a functional network element, comprising: at least one processor, a memory, a transceiver, and computer executable instructions stored in the memory and executable on the processor, the processor performing the method according to any one of the possible implementations of the second aspect as described above when the computer executable instructions are executed by the processor.
A fifteenth aspect of the present application provides a network device, which may be a data analysis network element or a data storage network element, including: at least one processor, a memory, a transceiver, and computer executable instructions stored in the memory and executable on the processor, the processor performing the method according to any one of the possible implementations of the third aspect or the third aspect when the computer executable instructions are executed by the processor.
A sixteenth aspect of the present application provides a data analysis network element, comprising: at least one processor, a memory, a transceiver, and computer executable instructions stored in the memory and executable on the processor, wherein when the computer executable instructions are executed by the processor, the processor performs the method according to any one of the possible implementations of the fourth aspect or the fourth aspect.
A seventeenth aspect of the present application provides a functional network element, comprising: at least one processor, a memory, a transceiver, and computer executable instructions stored in the memory and executable on the processor, the processor performing the method according to any one of the possible implementations of the fifth aspect or the fifth aspect when the computer executable instructions are executed by the processor.
An eighteenth aspect of the present application provides a network device, which may be a data analysis network element or a data storage network element, and includes: at least one processor, a memory, a transceiver, and computer executable instructions stored in the memory and executable on the processor, the processor performing the method according to any one of the possible implementations of the sixth aspect or the sixth aspect when the computer executable instructions are executed by the processor.
A nineteenth aspect of the present application provides a computer-readable storage medium storing one or more computer-executable instructions that, when executed by a processor, perform the method according to the first aspect or any one of the possible implementations of the first aspect.
A twentieth aspect of the present application provides a computer-readable storage medium storing one or more computer-executable instructions that, when executed by a processor, perform a method as set forth in any one of the possible implementations of the second aspect or the second aspect.
A twenty-first aspect of the present application provides a computer-readable storage medium storing one or more computer-executable instructions that, when executed by a processor, perform a method as described in the third aspect or any one of the possible implementations of the third aspect.
A twenty-second aspect of the present application provides a computer-readable storage medium storing one or more computer-executable instructions that, when executed by a processor, perform a method according to any one of the possible implementations of the fourth aspect or the fourth aspect.
A twenty-third aspect of the present application provides a computer-readable storage medium storing one or more computer-executable instructions that, when executed by a processor, perform a method as described in any one of the possible implementations of the fifth aspect or the fifth aspect.
A twenty-fourth aspect of the present application provides a computer-readable storage medium storing one or more computer-executable instructions that, when executed by a processor, perform a method as described in any one of the sixth aspect or the sixth possible implementation manner described above.
A twenty-fifth aspect of the present application provides a computer program product storing one or more computer executable instructions that, when executed by the processor, perform the method of the first aspect or any one of the possible implementations of the first aspect.
A twenty-sixth aspect of the present application provides a computer program product storing one or more computer executable instructions that, when executed by the processor, perform the method of any one of the possible implementations of the second aspect or the second aspect.
A twenty-seventh aspect of the present application provides a computer program product storing one or more computer executable instructions that, when executed by the processor, perform the method of the third aspect or any one of the possible implementations of the third aspect.
A twenty-eighth aspect of the present application provides a computer program product storing one or more computer executable instructions that, when executed by the processor, perform the method of any one of the possible implementations of the fourth aspect or the fourth aspect.
A twenty-ninth aspect of the present application provides a computer program product storing one or more computer executable instructions that, when executed by the processor, perform the method of any one of the possible implementations of the fifth aspect or the fifth aspect.
A thirty-first aspect of the present application provides a computer program product storing one or more computer executable instructions that, when executed by a processor, perform the method of any one of the above-mentioned sixth aspect or possible implementation manner of the sixth aspect.
A thirty-first aspect of the present application provides a chip system, where the chip system includes a processor, configured to support a data analysis network element to implement the functions in the foregoing first aspect or any one of the possible implementation manners of the first aspect. In one possible design, the system-on-chip may further include a memory for storing program instructions and data necessary for the data analysis network element. The chip system may be constituted by a chip, or may include a chip and other discrete devices.
A thirty-second aspect of the present application provides a chip system, where the chip system includes a processor, configured to support a functional network element to implement the functions in the second aspect or any one of the possible implementations of the second aspect. In one possible design, the system-on-chip may further include a memory for storing program instructions and data necessary for the functional network elements. The chip system may be constituted by a chip, or may include a chip and other discrete devices.
A thirty-third aspect of the present application provides a chip system, where the chip system includes a processor, configured to support a network device to implement the functions in the third aspect or any one of the possible implementation manners of the third aspect. The network device may be a data analysis network element or a data storage network element, and in one possible design, the chip system may further include a memory, a storage, and a storage device for storing program instructions and data necessary for the network device. The chip system may be constituted by a chip, or may include a chip and other discrete devices.
A thirty-fourth aspect of the present application provides a chip system, where the chip system includes a processor, configured to support a data analysis network element to implement the functions in any one of the possible implementation manners of the fourth aspect or the fourth aspect. In one possible design, the system-on-chip may further include a memory for storing program instructions and data necessary for the data analysis network element. The chip system may be constituted by a chip, or may include a chip and other discrete devices.
A thirty-fifth aspect of the present application provides a chip system, where the chip system includes a processor, configured to support a functional network element to implement the functions in any one of the possible implementations of the fifth aspect or the fifth aspect. In one possible design, the system-on-chip may further include a memory for storing program instructions and data necessary for the functional network elements. The chip system may be constituted by a chip, or may include a chip and other discrete devices.
A thirty-sixth aspect of the present application provides a chip system, where the chip system includes a processor, configured to support a network device to implement the functions recited in any one of the possible implementations of the sixth aspect or the sixth aspect. The network device may be a data analysis network element or a data storage network element, and in one possible design, the chip system may further include a memory, a storage, and a storage device for storing program instructions and data necessary for the network device. The chip system may be constituted by a chip, or may include a chip and other discrete devices.
For technical effects brought by any one implementation manner of the seventh aspect, the thirteenth aspect, the nineteenth aspect, the twenty-fifth aspect, and the thirty-first aspect, reference may be made to technical effects brought by different implementation manners in the first aspect, and details are not described here.
For technical effects brought by any one implementation manner of the eighth aspect, the fourteenth aspect, the twentieth aspect, the twenty-sixth aspect, and the thirty-second aspect, reference may be made to technical effects brought by different implementation manners in the second aspect, and details are not described here.
For technical effects brought by any one implementation manner of the ninth aspect, the fifteenth aspect, the twenty-first aspect, the twenty-seventh aspect, and the thirty-third aspect, reference may be made to technical effects brought by different implementation manners of the third aspect, and details are not described here.
For technical effects brought by any one implementation manner of the tenth aspect, the sixteenth aspect, the twenty-second aspect, the twenty-eighth aspect, and the thirty-fourth aspect, reference may be made to technical effects brought by different implementation manners in the fourth aspect, and details are not described here.
For technical effects brought by any one implementation manner of the eleventh aspect, the seventeenth aspect, the twenty-third aspect, the twenty-ninth aspect, and the thirty-fifth aspect, reference may be made to technical effects brought by different implementation manners of the fifth aspect, and details are not described here.
For technical effects brought by any one implementation manner of the twelfth aspect, the eighteenth aspect, the twenty-fourth aspect, the thirty-third aspect, and the thirty-sixth aspect, reference may be made to technical effects brought by different implementation manners of the sixth aspect, and details are not described here.
A thirty-seventh aspect of the present application provides a communication system comprising:
a data analysis network element configured to perform the method of the first aspect or any one of the possible implementation manners of the first aspect;
a functional network element, configured to perform the method of any one of the second aspect and the second possible implementation manner;
a network apparatus configured to perform the method of any one of the above third aspect or any one of the possible implementation manners of the third aspect.
A thirty-eighth aspect of the present application provides a communication system comprising:
a data analysis network element configured to perform the method of any one of the above fourth aspect or any one of the possible implementation manners of the fourth aspect;
a functional network element, configured to perform the method of any one of the above fifth aspect or any possible implementation manner of the fifth aspect;
network apparatus adapted to perform the method of any of the above-mentioned sixth aspect or possible implementation manner of the sixth aspect.
Compared with the current network data analysis network element, the data analysis network element can only analyze the data of the local terminal to obtain the data analysis result of the local terminal, so that the data analysis result of the roaming terminal is lost, and the NF network element, the AF network element, the OAM network element or the terminal can not use the data analysis result of the roaming terminal to enhance the service quality. In addition, the data analysis result of the local data terminal may not be suitable for the roaming terminal, and if the data analysis result of the local data terminal is applied to the service flow of the roaming terminal, the service quality may not be enhanced, or even the adverse effect may be generated. The data processing scheme provided by the embodiment of the application can analyze the data of the roaming terminal, thereby ensuring the integrity and accuracy of the analysis result related to the roaming terminal.
Drawings
FIG. 1 is a schematic diagram of an embodiment of a data processing system in an embodiment of the present application;
fig. 2A is a schematic diagram of a terminal roaming scenario in an embodiment of the present application;
fig. 2B is another schematic diagram of a terminal roaming scenario in the embodiment of the present application;
FIG. 3 is a schematic diagram of an embodiment of a method for data processing in an embodiment of the present application;
FIG. 4 is a schematic diagram of another embodiment of a method for data processing in the embodiment of the present application;
FIG. 5 is a schematic diagram of another embodiment of a method for data processing in the embodiment of the present application;
FIG. 6 is a schematic diagram of another embodiment of a method for data processing in the embodiment of the present application;
fig. 7 is a schematic diagram of an embodiment of a communication device in the embodiment of the present application;
fig. 8 is a schematic diagram of an embodiment of a data analysis network element in an embodiment of the present application;
fig. 9 is a schematic diagram of an embodiment of a functional network element in an embodiment of the present application;
FIG. 10 is a diagram of an embodiment of a network device in an embodiment of the present application;
fig. 11 is a schematic diagram of another embodiment of a data analysis network element in an embodiment of the present application;
fig. 12 is a schematic diagram of another embodiment of a functional network element in an embodiment of the present application;
fig. 13 is a schematic diagram of another embodiment of a network device in the embodiment of the present application.
Detailed Description
Embodiments of the present application will now be described with reference to the accompanying drawings, and it is to be understood that the described embodiments are merely illustrative of some, but not all, embodiments of the present application. As can be known to those skilled in the art, with the development of technology and the emergence of new scenarios, the technical solution provided in the embodiments of the present application is also applicable to similar technical problems.
The terms "first," "second," and the like in the description and in the claims of the present application and in the above-described drawings are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It will be appreciated that the data so used may be interchanged under appropriate circumstances such that the embodiments described herein may be practiced otherwise than as specifically illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The embodiment of the application provides a data processing method and device, and a data analysis network element can analyze data of a roaming terminal. The following are detailed below.
In the data processing system, as shown in fig. 1, the data analysis network element may collect and analyze data generated by the functional network element for the terminal, and after obtaining an analysis result, the analysis result may be returned to the functional network element. In this embodiment of the application, the data analysis network element may be a network data analysis function (NWDAF) network element or a Management Data Analysis Service (MDAS) network element. The functional network elements may include Network Function (NF) network elements, Application Function (AF) network elements, Operation Administration and Maintenance (OAM) network elements or terminals, and the like.
The NF network element refers to a module or an entity that performs some or some specific functions in an operator network, and may include an access and mobility management function (AMF) network element, a Radio Access Network (RAN) network element, a Session Management Function (SMF) network element, a User Plane Function (UPF) network element, a Policy Control (PCF) network element, and the like.
The operation management and maintenance network element refers to a network element including at least one of the following functions: a network resource deployment function, a network operation management or maintenance function.
The application function network element refers to a network element comprising at least one of the following functions: the function of processing service-related signaling and media data, and the function of QoS authorization interaction of service with the network side.
A terminal (also referred to as User Equipment (UE)) is a device with wireless transceiving function, and can be deployed on 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 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.
Data analysis network elements, for example: the NWDAF or MDAS may collect data from the AF network element, NF network element, OAM network element or terminal, or may store the collected data in a data warehouse, and when analysis is needed, obtain corresponding data from the data warehouse for analysis, and after the data analysis network element obtains an analysis result, the data analysis network element may send the analysis result to the AF network element, NF network element, OAM network element or terminal, so that the AF network element, NF network element, OAM network element or terminal may execute a corresponding policy according to the corresponding analysis result, for example: enhancement of UPF selection, enhancement of Quality of Service (QoS) parameter generation, and the like.
What kind of enhancement operation is performed by the AF network element, the NF network element, the OAM or the terminal is to improve the service quality of the terminal, and the data processing method provided in the embodiment of the present application is directed to a roaming terminal. Roaming here refers to a broad roaming concept, including the following two layers: an aspect refers to a terminal moving from one Public Land Mobile Network (PLMN) to another PLMN, such as: roaming from a China Mobile network to an American AT & T network; another aspect refers to a terminal moving from one area to another area in the same PLMN, such as from one NWDAF service area to another NWDAF service area, or such as: roaming from the Beijing area of China Mobile to the Shanghai area of China Mobile. In any of the above roaming meanings, a destination network or a destination area to which the terminal moves may be referred to as a visited place, and a network or an area of origin from which the terminal originates may be referred to as a home. Generally, a PLMN has many data analysis network elements, and for example, the data analysis network element is an NWDAF, as shown in fig. 2A and 2B, these NWDAFs may be deployed according to national, provincial and urban architectures, and a terminal may roam among different NWDAFs. During terminal roaming, the NWDAF performing data processing for the roaming terminal may be different. For example as shown in FIG. 2A: if a terminal roams from one country to another, the NWDAF performing data processing on the roaming terminal is a PLMN-level NWDAF. For example: FIG. 2B shows: if the roaming terminal roams from one province of the same PLMN to another province, the NWDAF performing data processing on the roaming terminal is an NWDAF belonging to the province hierarchy. If the roaming terminal roams from a city of a province to another city of the province, such as from Guandong Shenzhen city to Heyuan city, the NWDAF performing data processing on the roaming terminal is a city-level NWDAF.
No matter which level of roaming the roaming terminal belongs to, the NWDAF of the visited place of the terminal may be referred to as a visited NWDAF, or may be referred to as a first data analysis network element. The NWDAF of the home of the terminal may be referred to as home-NWDAF, or may be referred to as a second data analysis network element. In general, the NWDAF performs data processing based on the request of the above listed functional network elements, so the functional network element belonging to the visited place may be referred to as a visited functional network element, or may be referred to as a first functional network element. Accordingly, the functional network element of the home location of the roaming terminal may be referred to as a home functional network element, or may be referred to as a second functional network element.
The following describes a data processing method provided in an embodiment of the present application with reference to fig. 3.
As shown in fig. 3, an embodiment of a method for data processing provided in the embodiment of the present application may include:
101. the first functional network element sends a first request to the first data analysis network element, and accordingly, the first data analysis network element receives the first request sent by the first functional network element.
The first request is used for requesting a first analysis result of the terminal. The first request is triggered by the first functional network element based on the terminal roaming under network coverage of the first functional network element, e.g., when the first functional network element is an AMF, then the first functional network element may trigger the first request upon receiving a registration request sent by the roaming terminal. For another example, when the first functional network element is an SMF, the first functional network element may trigger the first request after receiving a session establishment request sent by the roaming terminal.
The first analysis result refers to a data analysis result generated by the first data analysis network element of the visited place of the roaming terminal on the visited place of the roaming terminal.
The terminals here comprise individual terminals or groups of terminals.
The first analysis result may be an analysis result for one terminal.
The first analysis result may also be an analysis result of a roaming terminal group to which the terminal belongs.
When the first analysis result is an analysis result of the roaming terminal group to which the terminal belongs, the first analysis result may be generated in a manner that: first, a third analysis result is generated for each terminal in the group, for example: if there are N roaming terminals in the group, there are N third analysis results. And then generating a first analysis result according to the N third analysis results. And the third analysis result refers to a data analysis result generated by the first data analysis network element of the visited place to the single roaming terminal at the visited place. The first analysis result may be a feature of commonality extracted from the N third analysis results.
102. And the first data analysis network element determines that the terminal is a roaming terminal.
After receiving the first request, the first data analysis network element determines whether the terminal is a roaming terminal, and if so, performs subsequent operations.
There are various ways for the first data analysis network element to determine whether the terminal is a roaming terminal, for example:
in one possible implementation manner, the first request includes second indication information or/and attribution identification information of the terminal, where the second indication information is used to indicate that the terminal is a roaming terminal; the first data analysis network element may determine that the terminal is a roaming terminal according to the second indication information or/and the home identifier information of the terminal. Specifically, the first data analysis network element may determine that the terminal is a roaming terminal by comparing that the home identification information of the terminal is different from the visited identification information of the terminal itself. For example, the comparison finds that the PLMN identification information of the terminal is different from the PLMN identification information corresponding to the first data analysis network element, or that the identification information ID of the home location data analysis network element of the terminal is different from the identification information of the first data analysis network element, or that the area to which the terminal belongs in the home location is different from the area to which the first data analysis network element belongs.
The home identification information of the terminal includes one or more of the following information: public land mobile network PLMN identification information of the attribution, identification information of a data analysis network element of the attribution and area information of the attribution. For example, in one possible implementation manner, when the terminal roams from one PLMN to another PLMN, the home identification information of the terminal includes PLMN identification information of the home, and optionally also includes identification information of the home data analysis network element or area information of the home. In another possible implementation manner, when the terminal roams from one area to another area in the same PLMN, the home identification information of the terminal includes identification information of the data analysis network element of the home or area information of the home, and it may or may not include PLMN identification information of the home, and is not limited.
In a possible implementation manner, the first request may include an identifier of the terminal, and the first data analysis network element may determine, through the identifier of the terminal, a home location to which the terminal is subscribed in the network, and if the home location is not the home location of the first data analysis network element, it may determine that the terminal is a roaming terminal. Specifically, the first data analysis network element may obtain data reported by other functional network elements in the network, obtain a terminal home location identifier associated with the terminal identifier from the data, and determine that the home location of the terminal is not the home location of the first data analysis network element according to the terminal home location identifier. For example, the first request includes a terminal ID, the first data analysis network element may obtain, from the AMF, an HPLMN ID associated with the terminal ID, and the first data analysis network element determines that the terminal is a roaming terminal according to that the HPLMN ID of the terminal is not the same as an ID of a PLMN where the first data analysis network element is located. Of course, it may also be determined that the terminal is a roaming terminal in other ways, which is not limited in this embodiment of the application.
103. And the first data analysis network element generates the first analysis result of the terminal according to the first request.
In this embodiment of the present application, there may be multiple ways for the first data analysis network element to generate the first analysis result of the terminal, such as:
one possible implementation may be: step 1021 is performed before step 103: the first data analysis network element receives first data of the terminal from a second functional network element, wherein the second functional network element belongs to a visited place where the terminal is located; accordingly, step 103 is: and the first data analysis network element generates the first analysis result according to the first data.
The second functional network element may be the NF network element, the AF network element, the OAM network element or the terminal belonging to the visited place, which is described above. The first data refers to process/result data generated in the terminal, the visited network, the visited business server and the like when the terminal executes a mobility flow or a session flow in the visited network. The first data may be data related to a service, or may be other types of data, where the type of the first data is related to the first analysis result, the analysis result may be multiple, and the content of the first data may be different according to different analysis results.
For example, when the first analysis result is a business experience analysis result of an application (e.g., a service MOS of application), the first data is the data types listed in tables 1 and 2 below.
TABLE 1 traffic data collected by NWADF from visited AF
Figure BDA0002020224990000231
Table 2: network data collected by NWDAF from NF or OAM network element of visited place
Figure BDA0002020224990000232
One possible implementation may be: step 1022 is performed before step 103: the first data analysis network element receives second data of the terminal from a third functional network element, wherein the third functional network element belongs to the attribution place of the terminal;
accordingly, step 103 is: and the first data analysis network element generates the first analysis result according to the second data.
The third functional network element may be the NF network element, the AF network element, the OAM network element, etc. belonging to the home location described above. The second data refers to process/result data generated in the home network, the home service server, and the like when the terminal executes the mobility procedure or the session procedure in the visited network. The second data may be data related to a service, or may be other types of data, where the type of the second data is related to the first analysis result, the analysis results may be various, and the content of the second data included in different analysis results may also be different, and the explanation of the second data is specifically referred to the explanation of the first data.
One possible implementation may be: step 1023 is performed before step 103: the first data analysis network element receives a second analysis result of the terminal from a second data analysis network element or a first data storage network element, and the second data analysis network element or the first data storage network element belongs to a home of the terminal.
Accordingly, step 103 is: and the first data analysis network element generates the first analysis result according to the second analysis result.
In a possible implementation manner, the first analysis result may be generated by combining the first data, the second data, and the second analysis result. Such as:
and generating a first analysis result according to the first data and the second data.
And generating a first analysis result according to the first data and the second analysis result.
And generating a first analysis result according to the second data and the second analysis result.
And generating a first analysis result according to the first data, the second data and the second analysis result.
Of course, the manner of acquiring the first data, the second data, and the second analysis result is the same as that described in the above one possible implementation manner, and details are not repeated in the combination manner.
In a possible implementation manner, the second analysis result is an analysis result generated by the second data analysis network element at the home location for the terminal or the roaming terminal group to which the terminal belongs. In other words, the second analysis result is an analysis result generated by the second data analysis network element analyzing the relevant data generated by each functional network element in the terminal home location with respect to the terminal. Specifically, the analysis result type corresponding to the second analysis result is the same as the analysis result type corresponding to the first analysis result, for example, the first analysis result refers to a service MOS analysis result of the NWDAF at the visited location for application1 of a certain terminal, and the second analysis result refers to a service MOS analysis result of the NWDAF at the home location for application1 of the certain terminal.
In a possible implementation manner, the second analysis result is an analysis result generated by the first data analysis network element at the visited place for the terminal or the roaming terminal group to which the terminal belongs. It is noted that the second analysis result is an analysis result that the first data analysis network element generated at the visited place for the terminal or the roaming terminal group to which the terminal belongs and transmitted and stored in the home place of the roaming terminal group.
The second analysis result is an analysis result generated by a fourth data analysis network element on a corresponding visited place of the terminal or the roaming terminal group to which the terminal belongs in the fourth data analysis network element, wherein the visited place corresponding to the fourth data analysis network element is different from the visited place corresponding to the first data analysis network element or the second data analysis network element. It is noted that the second analysis result is an analysis result that the fourth data analysis network element generated at the visited place for the terminal or the roaming terminal group to which the terminal belongs and transmitted and stored in the home place of the roaming terminal group.
The fourth data analysis network element is only used for expressing the data analysis network element of the visited place where the terminal or the roaming terminal group to which the terminal belongs visited once, and actually, the fourth data analysis network element, the fifth data analysis network element and the like can also be used for expressing that the number of the fourth data analysis network element has no special meaning.
The obtaining mode of the second analysis result may be:
and the first data analysis network element determines the second data analysis network element or the first data storage network element according to the attribution identification information of the terminal.
The first data analysis network element sends a second request to the second data analysis network element or the first data storage network element, where the second request is used to request the second analysis result;
and the first data analysis network element receives a second response sent by the second data analysis network element or the first data storage network element, wherein the second response comprises the second analysis result.
Wherein, the second request may further include visited place identification information of a visited place where the terminal is located. The identification information of the visited place may indicate a source of the second request.
The visitor identification information includes one or more of the following: public Land Mobile Network (PLMN) identification information of the visited place, identification information of a data analysis network element of the visited place, and area information of the visited place, wherein the area information of the visited place can refer to which area of the visited place is, such as Shenzhen city in Guangdong province. For example, in a possible implementation manner, when the terminal roams from one PLMN to another PLMN, the visited identification information of the terminal includes PLMN identification information of the visited place, and optionally further includes identification information of a visited place data analysis network element or area information of the visited place. In another possible implementation manner, when the terminal roams from one area to another area in the same PLMN, the visited identification information of the terminal includes identification information of the visited data analysis network element or area information of the visited place, and it may or may not include the visited PLMN identification information, which is not limited.
The identification information of the data analysis network element of the visited place is used for uniquely identifying the data analysis network element providing the data analysis service for the terminal in the visited place,
the data type of the first data and the second data is related to the required first analysis result, such as the analysis result related to the service of the terminal is requested, and the first data and the second data are the data related to the service directly or indirectly in the related functional network element; if the request is the analysis result related to the abnormal behavior of the terminal, the first data and the second data are the data which are directly or indirectly related to the abnormal behavior of the user in the related functional network element; if other types of analysis results are requested, the first data and the second data are the corresponding types of data.
In fact, the second analysis result may also be an analysis result of the visited place to which the terminal has been brought, and the data analysis result is generated by the data analysis network element of the visited place to which the terminal has been brought and sent to the home place for storage. Such as: the attribution of the terminal is Shanghai area, the terminal roams to Beijing area at present, and the terminal also roams to Guangdong area before the current area, so that the second analysis result can be the analysis result of the Guangdong area. It should be noted that the visited place where the terminal has visited may be the same as or different from the visited place currently visited. Take the example that the visited place can be different from the current visited place:
the second analysis result is an analysis result generated by a fourth data analysis network element on a corresponding visited place of the terminal or the roaming terminal group to which the terminal belongs in the fourth data analysis network element, wherein the visited place corresponding to the fourth data analysis network element is different from the visited place corresponding to the first data analysis network element or the second data analysis network element. And the fourth data analysis network element sends the second analysis result generated by the fourth data analysis network element to the second data analysis network element or the first data storage network element for storage.
In this case, the second response further includes visited place identification information corresponding to the fourth data analysis network element, and the visited place identification information corresponding to the fourth data analysis network element may indicate that the second analysis result is generated by the visited place corresponding to the fourth data analysis network element for the terminal.
The above-mentioned process of obtaining the second analysis result has been described, the second analysis result may be included in the second response, and the second response may further include the attribution identification information of the terminal. The home identification information is used to indicate that the second analysis result is from a home.
The second data analysis network element or the first data storage network element sends the analysis result of the visited place or the analysis result of the home place in the second response, and the implementation method is specifically multiple. For example, in a possible implementation manner, if there is an analysis result of the visited place, the analysis result of the visited place is sent first; if the analysis result of the attribution is not sent again; if neither of them is present, a null message is sent or no second analysis result is indicated. For another example, in another possible implementation, when there are both the analysis result once visited and the analysis result of home, both may be sent simultaneously. For another example, in another possible implementation manner, it may further be further refined to distinguish whether the visited place is the visited place where the terminal is currently located, and send the following analysis results as the second analysis result from high to low in priority: the current visit place of the terminal generates an analysis result for the terminal, the home place generates an analysis result for the terminal, other visit places generate an analysis result for the terminal, and an empty message or indicates that no second analysis result exists. Of course, other specific implementations exist and are not listed here.
104. The first data analysis network element sends a first response to the first functional network element, and correspondingly, the first functional network element receives the first response.
The first response includes the first analysis result, and the first response further includes first indication information indicating that the first data analysis result is generated for a roaming terminal or home identification information of the terminal indicating that the first data analysis result is generated for a terminal of the home.
The first response also comprises visiting place identification information of the visiting place where the terminal is located. The visited place identification information is used to indicate that the first analysis result is generated for a terminal roaming to the visited place.
Optionally, step 105 may also be included after step 104.
105. And the first data analysis network element sends the first analysis result to a second data analysis network element or a first data storage network element.
And the second data analysis network element or the first data storage network element belongs to the attribution of the terminal.
106. And the first data analysis network element sends the visiting place identification information of the visiting place where the terminal is located to the second data analysis network element or the first data storage network element.
The visited place identification information is used to indicate that the first analysis result is generated for a terminal roaming to the visited place.
Of course, steps 105 and 106 may be one transmission step or two transmission steps.
Optionally, step 104 may be followed by:
107. and the first functional network element makes an enhancement strategy according to the first analysis result.
In a possible implementation manner, the first analysis result is service experience evaluation data of the terminal, the first functional network element is a policy control functional network element, and the policy control functional network element makes a service quality enhancement policy for the service of the terminal according to the service experience evaluation data of the terminal.
In a possible implementation manner, the first analysis result is mobility analysis data of the terminal, the first functional network element is a mobility management functional network element, and the mobility management functional network element makes a mobility management enhancement policy for the terminal according to the mobility analysis data of the terminal.
In a possible implementation manner, the first analysis result is expected behavior analysis data of the terminal, the first functional network element is a session management functional network element, and the session management functional network element makes a session management enhancement policy for the terminal according to the expected behavior analysis data of the terminal.
Optionally, step 108 may also be included after step 105.
108. And the second data analysis network element or the first data storage network element stores the first analysis result of the terminal.
Optionally, step 109 may also be included after step 105.
109. And the second data analysis network element or the data storage network element receives the visitor location identification information of the visitor location where the terminal is sent by the first data analysis network element.
The foregoing embodiments generally describe the process of data processing after the terminal roams, and the following further describes the method for data processing provided in the embodiments of the present application with reference to fig. 4 and fig. 5.
Since the embodiments of fig. 4 and 5 relate to a plurality of english abbreviations, the english abbreviations are described correspondingly.
Compared with the terminal, the terminal signing place is a home place, and the visited place to which the terminal roams is a visited place.
The PLMN of the attribution is H-PLMN, the NWDAF of the attribution is H-NWDAF, the NF/AF/OAM of the attribution is H-NF/H-AF/H-OAM respectively, and the Unified Data Management (UDM)/User Database (UDR) of the attribution is H-UDM/H-UDR.
The PLMN of the visited place is V-PLMN, the NWDAF of the visited place is V-NWDAF, the AMF of the visited place is V-AMF, the NF/AF/OAM of the visited place is V-NF/V-AF/V-OAM, and the UDM/UDR of the visited place is V-UDM/V-UDR.
It should be noted that, in the scenarios described in fig. 4 and fig. 5, the network element in the 5G scenario is taken as an example for explanation, and actually, the solution provided in the embodiment of the present application is also applicable to, for example: 4G or future 6G, etc.
It should be noted that, in the scenarios described in fig. 4 and fig. 5 below, the scenario is when the terminal roams between two PLMNs, and in fact, the method is also applicable to scenarios in which the terminal roams between different regions of the same PLMN or between different NWDAFs. The difference is only that the home location and the visited location in the two scenarios have different meanings, wherein the home location generally refers to a home location PLMN and the visited location generally refers to a visited location PLMN; in the latter case home generally refers to a home area and visited generally refers to a visited area. Accordingly, the home identification information and the visited identification information related to the two scenes may be slightly different, specifically, see the description of the home identification information corresponding to the two scenes in step 102, and the description of the visited identification information corresponding to the two scenes in step 103. In addition, fig. 4 and 5 illustrate the data analysis network element as an NWDAF, and actually, the data analysis network element may be other network elements with equivalent functions, such as MDAS.
As shown in fig. 4, another embodiment of the method for data processing provided in the embodiment of the present application may include:
201. and the terminal roams from the H-PLMN to the V-PLMN and initiates a registration process to the V-AMF network element.
In the embodiment of the application, the home network of the terminal is an H-PLMN, and the network to which the terminal roams is a V-PLMN.
The terminal initiates a registration process to the V-AMF network element to request to register in the V-PLMN.
202. The V-AMF may determine that the terminal is a roaming terminal according to the identification information of the terminal.
The AMF of the V-PLMN may determine that the terminal is a roaming terminal through identification information such as an International Mobile Subscriber Identity (IMSI) of the terminal, a subscriber permanent identifier (SUPI), or a globally unique temporary user equipment identifier (GUTI), a Generic Public Subscription Identifier (GPSI), and the like.
In this step 202, the V-AMF may directly determine that the terminal is a roaming terminal according to the identification information of the terminal, for example: and comparing the identification information of the terminal with the identification information of the locally signed terminal, and if the identification information of the terminal is not in the identification information of the locally signed terminal, determining that the terminal is a roaming terminal.
It may also be determined indirectly that the terminal is a roaming terminal according to the identification information of the terminal, for example: the V-AMF may determine whether the terminal is a roaming terminal according to the PLMN ID corresponding to the terminal identification information, for example, when the PLMN ID corresponding to the terminal identification information is different from the PLMN ID of the network where the V-AMF is located, determine that the terminal is a roaming terminal.
203. And the V-AMF requests the subscription data of the terminal from the H-UDM/H-UDR.
The subscription data may include H-NWDAF identification information corresponding to the terminal, and may also include H-PLMN ID information and home area information of the terminal, that is, the area to which the terminal specifically belongs in the HPLMN, and the area may have network area identifiers (TAI, TAI list, cell ID list, etc.) or geographic area identifiers (shanghai, beijing, etc.), and the subscription data is sent to the V-AMF by the H-UDR/H-UDM of the H-PLMN.
In addition, the H-NWDAF identification information may have different representations, such as direct identification by H-NWDAF ID or indirect identification by the service area of the H-NWDAF.
204. The V-NF/V-AF/V-OAM in the V-PLMN sends a first request to the V-NWDAF.
The first request may also be sent by the terminal itself.
The V-NF/V-AF/V-OAM/terminal in the VPLMN needs to obtain the first analysis result related to the roaming terminal from the V-NWDAF for some reason, for example: in order to select a proper UPF for a PDU session initiated by the roaming terminal, an SMF in a V-PLMN needs to acquire a service behavior analysis result aiming at the roaming terminal from a V-NWDAF, and then the V-SMF sends a first request to the V-NWDAF for requesting the service behavior analysis result of the roaming terminal.
The first request may be a subscription message or an instant request message.
In a possible implementation manner, when the V-AMF sends the first request to the V-NWDAF, it may be determined that the terminal is a roaming terminal and obtain the subscription data of the terminal through the above steps 201 and 203. In another possible implementation manner, when the other V-NF/V-AF/V-OAM/terminal sends the first request to the V-NWDAF instead of the V-AMF, the other V-NF/V-AF/V-OAM/terminal may obtain the above-mentioned related information of the terminal from the V-AMF.
The first request includes an analysis result type identifier (e.g., analytic ID) or an event identifier (e.g., eventID) that indicates the type of the first analysis result for the particular request. If the analytical ID is: a service mean opinion score (service MOS), an abnormal behavior of a terminal (UE abnormal), a download (load) event of a user plane function network element (UPF), and the like.
In a possible implementation manner, the first request may further include an analysis result or an event filter (e.g., analytic/event filter) for indicating that the specific request is the first analysis result meeting the filter. If the filtration conditions are as follows: temporal filtering criteria, regional filtering criteria, business type filtering criteria, slice filtering criteria, DNN filtering criteria, and the like.
In a possible implementation manner, the first request may further include analysis object information, which is used to indicate that the specific request is a first analysis result of an object. If the analysis object information is: identification information of the terminal, identification information of a group to which the terminal belongs, any terminal, and the like.
For example, if the analytic ID is service MOS, the analytic filter is application ID, and the target is UE ID, the first request is a service MOS analysis result for requesting application of the terminal.
In a possible implementation manner, the first request may further carry first indication information, where the first indication information is used to indicate that the terminal is a roaming terminal. In other words, the first indication information is used to indicate that the first request requests the analysis result corresponding to the roaming terminal.
In a possible implementation manner, the first request may further carry home identification information of the terminal. The attribution identification information of the terminal may be one or more of the following identification information: the H-PLMN ID of the terminal, the area information of the home location of the terminal (such as the home location of the Shanghai Mobile), and the identification information of the H-NWDAF. The identification information of the H-NWDAF is used to uniquely identify the NWDAF corresponding to the terminal at the home, for example, the H-NWDAF serving PLMN ID, the H-NWDAF serving TA list, and the H-NWDAF serving geographic area (as described above) corresponding to the H-NWDAF ID or the H-NWDAF.
Based on the above implementation, before sending the first request, the V-NF/V-AF/V-OAM may need to acquire the home identifier of the terminal. The attribution identification information of the V-NF/V-AF/V-OAM acquisition terminal can be obtained in the following two ways:
the first method is as follows: when the subscription data of the terminal contains the attribution identification information of the terminal, the V-NF/V-AF/V-OAM can acquire the attribution identification information of the terminal through the subscription data of the terminal. Specifically, when the V-NF/V-AF/V-OAM is a V-AMF, the V-AMF may obtain subscription data of the terminal from the H-UDM/H-UDR in a registration procedure initiated by the terminal, and obtain home identifier information of the terminal from the subscription data. When the V-NF/V-AF/V-OAM is V-SMF, the V-SMF can acquire subscription data of the UE from H-UDM/H-UDR in a PDU session establishment or modification process initiated by the terminal, and acquire attribution identification information of the terminal from the subscription data; when the V-NF/V-AF/V-OAM is other network elements (V-PCF, V-UPF and the like) in the V-PLMN, the signing data of the terminal can be obtained from the V-AMF or the V-SMF, and then the attribution identification information of the terminal can be obtained from the signing data.
The second method comprises the following steps: the V-NF/V-AF/V-OAM inquires NRF of a network storage function (NRF) to acquire attribution identification information of the terminal. Specifically, for example, the query message carries the H-PLMN ID of the terminal and the area information of the terminal location (e.g., the UE belongs to the china mobile shanghai area), and the query message is used to query the NRF about the H-PLMN ID or the H-NWDAF corresponding to the area of the terminal location. In this way, it is required to register each NWDAF with the NRF in advance, and register PLMN or service area information corresponding to the NWDAF with the NRF.
205. The V-NWDAF sends a second request to the H-NWDAF.
The second request is used for requesting a second analysis result corresponding to the terminal and stored in the H-NWDAF.
The V-NWDAF needs to acquire identification information of the H-NWDAF in order to address the H-NWDAF before sending the second request. Specifically, the V-NWDAF may acquire the identification information of the H-NWDAF in the following ways:
mode A: and when the V-NF/V-AF/V-OAM directly provides the identification information of the H-NWDAF in the first request, the V-NWDAF acquires the identification information of the H-NWDAF according to the first request.
Mode B: and the V-NWDAF maps the identification information of the H-NWDAF according to the H-PLMN ID of the terminal and/or the area information of the home location of the terminal. This requires that the mapping relationship between each PLMN ID and/or each home zone information and the corresponding NWDAF is stored in the V-NWDAF.
Mode C: in a similar manner to the second manner in step 204, the V-NWDAF queries the NRF to obtain H-NWDAF identification information of the terminal, where the query message carries identification information of the terminal, HPLMN ID of the terminal, and area information of the home location of the terminal.
Mode D: and the V-NWDAF inquires and acquires the H-NWDAF identification information of the terminal from the home H-UDM/H-UDR, wherein the inquiry information carries the identification information of the terminal, the HPLMN ID of the terminal and the area information of the home of the terminal.
Specifically, the second request includes an analysis result type identifier (e.g., analytic ID) or an event identifier (e.g., event ID) that indicates the type of the second analysis result of the specific request. The analytic/event ID carried in the second request is the same as the analytic/event ID in the first request, or the analytic/event ID carried in the second request is generated according to the analytic/event ID in the first request.
In a possible implementation manner, the second request may further include an analysis result or an event filter (e.g., analytic/event filter), which is used to indicate that the specific request is the second analysis result that meets the filter, and the second analysis result may be generated according to the filter carried in the first request. If the filtration conditions are as follows: temporal filtering conditions, regional filtering conditions, slice filtering conditions, DNN filtering conditions, and the like.
In a possible implementation manner, the second request may further include analysis object information, which is used to indicate that the specific request is a second analysis result of an object. If the analysis object information is: identification information of the terminal, identification information of a group to which the terminal belongs, any terminal, and the like. The analysis target information included in the second request may be generated based on the analysis target information included in the first request. For example, the analysis object information carried in the first request is identification information of a single terminal, and the analysis object information carried in the second request may be identification information of the single terminal or identification information of a terminal group in which the single terminal is located.
In a possible implementation manner, the second request may further carry roaming indication information, where the roaming indication information is used to indicate that a data analysis result for the roaming terminal in the H-PLMN needs to be obtained.
In a possible implementation manner, the second request may further carry visited place identification information of a visited place where the terminal is located. The visitor location identification information is used to specify the identity of the second request sender, in other words, to inform the processing object of the second request of the request subject of the second data analysis result. The visiting place identification information of the visiting place where the terminal is located can be one of the following various information: the V-PLMN ID of the visited place where the terminal is located, the identification information of the V-NWDAF of the visited place where the terminal is located, and the area information of the visited place where the terminal is located. The identification information of the V-NWDAF is used to uniquely identify the NWDAF providing data analysis service for the terminal in the visited place, for example, the identification information of the V-NWDAF is a V-NWDAF ID or service area (V-NWDAF serving PLMN ID, V-NWDAF serving TA list, V-NWDAF serving geographic information (e.g., beijing)) information corresponding to the V-NWDAF. The area information of the visited place where the terminal is located is used for indicating the specific area where the terminal is currently located in the visited place network.
206. The H-NWDAF sends a second response to the V-NWDAF.
The second response is used for feeding back a corresponding second analysis result of the terminal stored in the H-NWDAF to the V-NWDAF.
The second analysis result of the H-NWDAF feedback in the embodiment of the present application may be one or more of the following data analysis result 1, data analysis result 2, and data analysis result 3:
data analysis result 1: and the H-NWDAF generates an analysis result in the H-PLMN aiming at the terminal or the roaming terminal group to which the terminal belongs.
Specifically, before roaming to the V-PLMN, the terminal or the roaming terminal group to which the terminal belongs performs a mobility procedure or a session procedure in the H-PLMN, in which corresponding recorded data (or referred to as original data) is generated by H-NF, H-AF, H-OAM, and the like of the H-PLMN, and the H-NWDAF collects different original data sets according to different analytical IDs, and performs data analysis on the original data sets to obtain an analysis result related to the analytical ID, that is, a data classification result 1. This data analysis result 1 is stored in the H-NWDAF or H-UDR/H-UDM and may be sent to the V-NWDAF as a second analysis result upon a V-NWDAF request.
The data analysis result 1 is obtained for the specific analytical ID and optional information (such as filtering condition, analysis object information, etc.) in the second request, and the data analysis result 1 is fed back to the V-NWDAF. In one possible implementation, the data analysis result may be identified by home identification information of the terminal, which is used to indicate that the analysis result is a corresponding analysis result generated in the H-PLMN. For example, for a certain terminal, the H-NWDAF analyzes its service behavior characteristics according to its corresponding original data set once in the H-PLMN, and the H-NWDAF feeds back the service behavior characteristics of the terminal in the H-PLMN to the V-NWDAF. Of course, in a possible implementation manner, if the V-NWDAF defines that the service behavior feature of the UE only needs to be acquired on monday, the H-NWDAF only needs to feed back the service behavior feature of the terminal on monday in the H-PLMN. For another example, for a roaming terminal group where a certain terminal is located, the H-NWDAF analyzes the common service behavior characteristic of the group according to the original data set corresponding to the group in the H-PLMN, and the H-NWDAF feeds back the common service behavior characteristic to the V-NWDAF. Of course, in a possible implementation manner, if the V-NWDAF defines that the service behavior feature of the group in a certain area only needs to be acquired, the H-NWDAF only needs to feed back the common service behavior feature of the group in the area.
Data analysis result 2: the H-NWDAF stores the analysis result that the terminal or the roaming terminal group to which the terminal belongs generated in the V-PLMN.
Specifically, the terminal roams to the V-PLMN before, the terminal or the roaming terminal group to which the terminal belongs performs a mobility procedure or a session procedure in the V-PLMN, in these procedures, V-NF, V-AF, V-OAM, etc. of the V-PLMN generate corresponding recorded data (or referred to as original data), and the V-NWDAF collects different original data sets according to different analytical IDs, and performs data analysis on these original data sets to obtain an analysis result related to the analytical ID, that is, a data classification result 2. This data analysis result 2 is stored in the H-NWDAF or H-UDR/H-UDM and may be sent to the V-NWDAF as a second analysis result upon a V-NWDAF request.
The H-NWDAF obtains the data analysis result 2 aiming at the specific analytical ID in the second request and optional information (such as filtering conditions, analysis object information and the like), and feeds back the data analysis result 2 to the V-NWDAF. In a possible implementation manner, the data analysis result may be identified by visited place identification information of the terminal, where the visited place identification information of the terminal is used to indicate that the analysis result is a corresponding analysis result generated in the V-PLMN. For example, for a certain terminal, the V-NWDAF analyzes its traffic behavior characteristics from its corresponding original data set that was in the V-PLMN. Of course, in a possible implementation manner, if the V-NWDAF defines that the service behavior feature of the terminal only needs to be acquired on monday, the H-NWDAF only needs to feed back the service behavior feature of the terminal on monday in the V-PLMN. For another example, for a roaming terminal group where a certain terminal is located, the V-NWDAF analyzes the common service behavior characteristic of the group according to the original data set of the group once corresponding to the V-PLMN, and the H-NWDAF feeds back the common service behavior characteristic to the V-NWDAF. Of course, in a possible implementation manner, if the V-NWDAF defines that the service behavior characteristics of the group only need to be acquired within a certain area range, the H-NWDAF only needs to feed back the common service behavior characteristics of the group of the terminal within the corresponding area range of the V-PLMN.
Data analysis result 3: and the H-NWDAF stores the analysis result which is generated in other V-PLMNs by the terminal or the roaming terminal group to which the terminal belongs.
Other V-PLMNs are relative to the V-PLMNs in the embodiment of the present application, and if the H-PLMN described in the embodiment of the present application is a certain PLMN in china, the V-PLMN is a certain PLMN in the united states, and the other V-PLMNs may be a certain PLMN in france, or other non-U.S. PLMNs and non-chinese PLMNs. Other V-PLMNs are marked with V' -PLMNs.
Specifically, the terminal roams to the V '-PLMN before, the terminal or the roaming terminal group to which the terminal belongs performs a mobility procedure or a session procedure in another V-PLMN, in these procedures, V' -NF, V '-AF, V' -OAM, and the like of the V '-PLMN generate corresponding recorded data (or referred to as original data), and the V' -NWDAF collects different original data sets according to different analytical IDs, and performs data analysis on these original data sets to obtain an analysis result related to the analytical ID, that is, a data classification result 3. This data analysis result 3 is stored in the H-NWDAF or H-UDR/H-UDM and may be sent to the V-NWDAF as a second analysis result upon a V-NWDAF request.
The H-NWDAF obtains the data analysis result 3 for the specific analytical ID in the second request and optional information (such as filtering conditions, analysis object information, etc.), and feeds back the data analysis result 3 to the V-NWDAF. In one possible implementation, the data analysis result may be identified by visited place identification information of the terminal, which is used to indicate that the analysis result is a corresponding analysis result generated in the V' -PLMN. For example, for a certain terminal, the V '-NWDAF analyzes its traffic behavior characteristics from its corresponding original data set that was once in the V' -PLMN. Of course, in a possible implementation manner, if the V-NWDAF defines that the service behavior feature of the terminal only needs to be acquired on monday, the H-NWDAF only needs to feed back the service behavior feature of the terminal on monday in the V' -PLMN. For another example, for a roaming terminal group where a certain terminal is located, the V '-NWDAF analyzes the common service behavior characteristic of the group according to the original data set that the group once corresponds to in the V' -PLMN, and the H-NWDAF feeds back the common service behavior characteristic to the V-NWDAF. Of course, in a possible implementation manner, if the V-NWDAF defines that the service behavior characteristics of the group only need to be acquired within a certain area, the H-NWDAF only needs to feed back the common service behavior characteristics of the group of the terminal within the corresponding area of the V' -PLMN.
207. The V-NWDAF collects first data generated by the terminal in the V-PLMN.
The first data refers to various related raw data collected from V-NF, V-AF, UE, V-OAM and the like according to optional filtering conditions for the V-NWDAF to include the related analytical ID and the object (such as the terminal) in the first request, and the various related raw data are used for data analysis of the V-NWDAF to generate a required analysis result. The process of collecting the first data of the visited place by the V-NWDAF is similar to the process of collecting the original data of the home place by the H-NWDAF, and is not described herein again.
208. And the V-NWDAF generates a first analysis result of the terminal in the V-PLMN of the visit place according to the first data collected in the V-PLMN and a second analysis result sent by the H-NWDAF.
Of course, the step 208 is only one way of generating the first analysis result, and other ways may be involved in the corresponding description in the step 103 of the embodiment corresponding to fig. 3 for understanding, and are not repeated herein.
209. The V-NWDAF sends a first response to the V-NF/V-AF/V-OAM.
The first response is used for feeding back the first analysis result to the V-NF/V-AF/V-OAM.
In one possible implementation, the first response may be identified with visited-site identification information, such as V-PLMN ID and/or V-NWDAF, to indicate that the first analysis result is generated in the VPLMN or V-NWDAF.
In one possible implementation, the first response may be identified with home identification information, such as an H-PLMN ID and/or an H-NWDAF, indicating that the first analysis result is for a roaming terminal from the H-PLMN ID and/or the H-NWDAF.
In a possible implementation manner, the first response may include a combination of the above two identifiers.
In a possible implementation manner, the first response may include first indication information, where the first indication information is used to indicate that the first analysis result is generated for the roaming terminal.
210. And the V-NF/V-AF/V-OAM/terminal makes an enhancement strategy according to the first analysis result.
It is noted that, in the absence of the first analysis result, the V-NF/V-AF/V-OAM/terminal already has some specific functions, for example, the PCF has a function of policy making, the AMF has a function of mobility management, the AF has a function of application layer message processing, etc., which can make a corresponding function policy before executing a corresponding function flow, and the V-NF/V-AF/V-OAM/terminal executes the corresponding function flow according to the corresponding function policy. In the method according to the embodiment of the application, if the analysis result corresponding to the roaming terminal can be obtained from the data analysis network element, the V-NF/V-AF/V-OAM/terminal may formulate a corresponding enhancement policy based on the analysis result, and the corresponding enhancement policy may assist the V-NF/V-AF/V-OAM/terminal to better execute a corresponding functional process, such as improving the accuracy of the function, shortening the time delay of the process, and the like, so as to improve the user experience of the roaming terminal.
In a possible implementation manner, the first analysis result is service experience evaluation data of the terminal, and the first functional network element is a policy control functional network element, and the policy control functional network element makes a service quality enhancement policy for the service of the terminal according to the service experience evaluation data of the terminal.
In a possible implementation manner, if the first analysis result is mobility analysis data of the terminal, and the first functional network element is a mobility management functional network element, the mobility management functional network element makes a mobility management enhancement policy for the terminal according to the mobility analysis data of the terminal.
In a possible implementation manner, the first analysis result is expected behavior analysis data of the terminal, and the first functional network element is a session management functional network element, and the session management functional network element makes a session management enhancement policy for the terminal according to the expected behavior analysis data of the terminal.
In the embodiment corresponding to fig. 4, the generation of the first analysis result by the V-NWDAF is described, and the sending of the first analysis result back to the H-PLMN for storage is further described in conjunction with the embodiment corresponding to fig. 5. Fig. 5 shows that two possible implementations are stored by sending the first analysis result back to the H-PLMN, wherein steps 301 to 304 are the first possible implementation and steps 401 to 406 are the second possible implementation. The following is described with reference to fig. 5, respectively.
As shown in fig. 5, another embodiment of the method for data processing provided in the embodiment of the present application may include:
301. the H-NWDAF sends a subscription request of the roaming terminal to the V-NWDAF.
The subscription request is for subscribing to a first analysis result of a terminal roaming from the H-PLMN to the V-PLMN.
The H-NWDAF may subscribe to the V-NWDAF for relevant data analysis results of the roamed-in terminal. Here, the subscription may be for a single terminal or for a roaming terminal group. In other words, the subscription object identification information in the subscription request may be identification information of a single roaming terminal, or may be identification information of a roaming terminal group.
In a possible implementation manner, the reporting condition in the subscription request may be set to be periodic reporting, such as reporting every month, or set to be event reporting, such as reporting an event that a gold medal user roams into the network, and the number of roaming users reaches a set value.
302. The V-NWDAF generates the relevant first analysis of the terminal using the method described in the corresponding embodiment of fig. 4.
Specifically, in a possible implementation manner, when the H-NWDAF subscribes to the first analysis result of the single roaming terminal, the V-NWDAF generates the relevant first analysis result of the single roaming terminal by using the method described in the embodiment corresponding to fig. 4;
in another possible implementation manner, when the H-NWDAF subscribes to the first analysis result of the roaming terminal group, the V-NWDAF generates the relevant first analysis result of the roaming terminal group by using the method described in the embodiment corresponding to fig. 4;
303. and judging whether the reporting condition is met, if so, executing the step 304, and if not, not executing the step 304.
The step 303 is not necessarily performed, and may be reported directly without judgment.
304. And the V-NWDAF sends a first analysis result generated by the roaming terminal in the V-PLMN to the H-NWDAF.
And the V-NWDAF reports the information according to the reporting condition in the subscription message. For example, it may be the reporting of a single terminal, or the reporting of a group of roaming terminals.
In one possible implementation, the first analysis result may be identified with identification information of the visited place, for example, with VPLMN id and/or V-NWDAF, for indicating that the first analysis result is generated in VPLMN or V-NWDAF.
In a possible implementation manner, the first analysis result may be further identified by identification information of a home, for example, by an H-PLMN ID and/or an H-NWDAF, for indicating that the first analysis result is for a roaming terminal from the H-PLMN ID and/or the H-NWDAF.
In one possible implementation, the first analysis result may be identified by a combination of the two.
Steps 301 to 303 describe a scheme for triggering a subscription request by an H-NWDAF, and the following describes a scheme for triggering a subscription request by an H-UDM/H-UDR in conjunction with steps 401 to 406 in fig. 5.
401. The H-UDM/H-UDR sends a first subscription request of the roaming terminal to the V-UDM/V-UDR.
The first subscription request is used for subscribing a first analysis result of a terminal roaming from the H-PLMN to the V-PLMN.
The H-UDM/H-UDR can subscribe the related data analysis result of the roaming-in terminal to the V-UDM/V-UDR. Here, the subscription may be for a single terminal or for a roaming terminal group. In other words, the subscription object identification information in the subscription request may be identification information of a single roaming terminal, or may be identification information of a roaming terminal group.
The setting of the reporting condition in the first subscription request can be understood with reference to the description in step 301.
402. The V-UDM/V-UDR sends a second subscription request to the V-NWDAF.
The function of the second subscription request may participate in the first subscription request for understanding.
The setting of the reporting condition in the second subscription request can be understood with reference to the description in step 301.
403. The V-NWDAF generates the relevant first analysis of the terminal using the method described in the corresponding embodiment of fig. 4.
Specifically, in a possible implementation manner, when the V-UDM/V-UDR subscribes to a first analysis result of a single roaming terminal, the V-NWDAF generates a relevant first analysis result of the single roaming terminal by using the method described in the embodiment corresponding to fig. 4;
in another possible implementation manner, when the V-UDM/V-UDR subscribes to the first analysis result of the roaming terminal group, the V-NWDAF generates the relevant first analysis result of the roaming terminal group by using the method described in the embodiment corresponding to fig. 4;
404. the V-NWDAF sends the first analysis result to the V-UDM/V-UDR.
Of course, if the second subscription request includes the reporting condition, the V-NWDAF may send the first analysis result to the V-UDM/V-UDR according to the reporting condition.
405. The V-UDM/V-UDR can judge whether the reporting condition is met.
This step 405 may or may not be performed, and step 406 may be performed directly.
406. The V-UDM/V-UDR sends the first analysis result to the H-UDM/H-UDR.
And the V-UDM/V-UDR reports according to the reporting condition in the subscription message. For example, it may be the reporting of a single terminal, or the reporting of a group of roaming terminals.
In one possible implementation, the first analysis result may be identified with home identification information, e.g., with VPLMN id and/or V-NWDAF, indicating that the first analysis result is generated in VPLMN or V-NWDAF.
In a possible implementation manner, the first analysis result may be further identified by identification information of a home, for example, by an H-PLMN ID and/or an H-NWDAF, for indicating that the first analysis result is for a roaming terminal from the H-PLMN ID and/or the H-NWDAF.
In one possible implementation, the first analysis result may be identified by a combination of the two.
It was described above that the first functional network element requests the first analysis result of the terminal by means of a first request. In fact, the first functional network element may not indicate the first analysis result of the requesting terminal when sending the first request. A scheme of data processing that does not indicate the first analysis result of the requesting terminal is described below with reference to fig. 6.
As shown in fig. 6, another embodiment of the method for data processing provided in the embodiment of the present application may include:
501. the first functional network element sends a first request to the first data analysis network element, and accordingly, the first data analysis network element receives the first request sent by the first functional network element.
The first request is for requesting a first analysis result.
The setting method of the first request in step 501 may specifically refer to the setting methods of the first requests in steps 101 and 204. For example:
in a possible implementation manner, the first request may include type identification information of the first analysis result, where the type identification information is used to identify a type of the first analysis result; thus, the first data analysis network element may generate the first analysis result corresponding to the type identifier information of the roaming terminal group according to the first request. The type identification information may participate in the understanding of the data analysis result 1, the data analysis result 2, and the data analysis result 3 in the above-described embodiment corresponding to fig. 4.
In a possible implementation manner, the first request may further include an analysis result or an event filter condition, which is used to indicate that a specific request is the first analysis result meeting the filter condition. If the filtration conditions are as follows: temporal filtering criteria, regional filtering criteria, business type filtering criteria, slice filtering criteria, DNN filtering criteria, and the like.
In a possible implementation manner, the first request may include second indication information and/or the home identification information, where the second indication information is used to indicate that the first request is used to request a first analysis result of a roaming terminal group, and the home identification information is used to indicate that the first request is used to request a first analysis result of a roaming terminal group from a home to which the home identification information corresponds.
The only difference is that the first request in step 501 does not indicate specific analysis object information, for example, a possible implementation manner may be that the first request does not carry a specific terminal identifier or group identifier, that is, the content of the analysis object information is empty. In another possible implementation manner, the analysis object information carried in the first request may be any terminal. The first request in steps 101 and 204 carries the terminal id or group id or other information that can indicate the object to be analyzed.
For example, if the analytic ID is service MOS, the analytic filter is application ID, and the target is NA/any, then the first request is a service MOS analysis result for requesting application, and the applicable targets of the analysis result are all terminals.
502. And the first data analysis network element generates the first analysis result aiming at the roaming terminal group.
When the first request does not carry the specific terminal identifier or the specific terminal group identifier, that is, the first request does not accurately define the analysis object, the data analysis network element may also distinguish the analysis object, that is, collect and analyze the related data of the roaming terminal group separately to obtain the first analysis result applicable to the roaming terminal group, thereby ensuring that the subsequent first functional network element knows that the specific applicable object of the first analysis result is the roaming terminal.
The first analysis result may be generated in a manner that: first, a third analysis result is generated for each terminal in the group, for example: if there are N roaming terminals in the group, there are N third analysis results. And then generating a first analysis result according to the N third analysis results. And the third analysis result refers to a data analysis result generated by the first data analysis network element of the visited place to the single roaming terminal at the visited place. The first analysis result may be a feature of commonality extracted from the N third analysis results.
In a possible implementation, this step 502 may be preceded by determining, by the first data analysis network element, the roaming terminal group. In a possible implementation manner, the first request includes second indication information or/and the home identifier information, the second indication information is used to indicate that the first request is used to request a first analysis result of a roaming terminal group, and the home identifier information is used to indicate that the first request is used to request a first analysis result of a roaming terminal group from a home to which the home identifier information corresponds. And the first data analysis network element determines the roaming terminal group according to the second indication information or/and the attribution identification information.
In another possible implementation manner, the first data analysis network element may obtain the home identifier of the terminal by associating with the original data generated by the terminal at the visited place, and determine that the terminal is a roaming terminal according to that the home identifier of the terminal is different from the visited place identifier where the terminal is located, and the plurality of roaming terminals may be classified into a roaming terminal group. Further, the first data analysis network element may classify terminals with the same home identifier as the same roaming terminal group.
One possible implementation may be: step 5011 is performed before step 502: the first data analysis network element receives first data of the roaming terminal group from a second functional network element, wherein the second functional network element belongs to a visited place where the roaming terminal group is located; accordingly, step 502 is: and the first data analysis network element generates the first analysis result according to the first data.
The second functional network element may be the NF network element, the AF network element, the OAM network element or the terminal belonging to the visited place, which is described above. The first data is process/result data generated in the terminal itself, the visited network, the visited business server, etc. when the terminal executes the mobility flow or session flow in the visited network. One possible implementation may be: step 5012 is performed before step 502: the first data analysis network element receives second data of the terminal from a third functional network element, wherein the third functional network element belongs to the attribution place of the terminal;
accordingly, step 502 is: and the first data analysis network element generates the first analysis result according to the second data.
The third functional network element may be the NF network element, the AF network element, the OAM network element, etc. belonging to the home location described above. The second data refers to process/result data generated in the home network, the home service server, and the like when the terminal executes the mobility procedure or the session procedure in the visited network.
One possible implementation may be: step 5013 is performed before step 502: the first data analysis network element receives a second analysis result of the terminal from a second data analysis network element or a first data storage network element, and the second data analysis network element or the first data storage network element belongs to a home of the terminal.
Accordingly, step 502 is: and the first data analysis network element generates the first analysis result according to the second analysis result.
In a possible implementation manner, the first analysis result may be generated by combining the first data, the second data, and the second analysis result. Such as:
and generating a first analysis result according to the first data and the second data.
And generating a first analysis result according to the first data and the second analysis result.
And generating a first analysis result according to the second data and the second analysis result.
And generating a first analysis result according to the first data, the second data and the second analysis result.
Of course, the manner of acquiring the first data, the second data, and the second analysis result is the same as that described in the above one possible implementation manner, and details are not repeated in the combination manner.
In a possible implementation manner, the second analysis result is an analysis result generated by the second data analysis network element at the home, and an analysis result type corresponding to the second analysis result is the same as an analysis result type corresponding to the first analysis result. For example, the first analysis result refers to the service MOS analysis result of the visited place V-NWDAF on application1, and the second analysis result refers to the service MOS analysis result of the home place H-NWDAF on application 1.
In a possible implementation manner, the second analysis result is an analysis result generated by the second data analysis network element on the roaming terminal group at the home. For example, the second analysis result is a service MOS analysis result generated by application1 of the home H-NWDAF on the roaming terminal group, where the second data analysis network element may determine, according to the instruction of the first data analysis network element, which roaming terminal group is specifically acquired as the second analysis result of the home.
In a possible implementation manner, the second analysis result is an analysis result generated by the first data analysis network element on the roaming terminal group at the visited place. It is noted that the second analysis result is the analysis result which is generated by the first data analysis network element at the corresponding visited place for the roaming terminal group and is sent and stored in the home of the roaming terminal group.
In a possible implementation manner, the second analysis result is an analysis result generated by a fourth data analysis network element on a visited place of the roaming terminal group corresponding to the fourth data analysis network element, where the visited place corresponding to the fourth data analysis network element is different from a visited place corresponding to the first data analysis network element or the second data analysis network element. It is noted that the second analysis result is the analysis result which is generated by the fourth data analysis network element at the corresponding visited place for the roaming terminal group and is sent and stored in the home of the roaming terminal group.
The obtaining mode of the second analysis result may be:
and the first data analysis network element determines the second data analysis network element or the first data storage network element according to the attribution identification information of the roaming terminal group.
The first data analysis network element sends a second request to the second data analysis network element or the first data storage network element, where the second request is used to request the second analysis result;
and the first data analysis network element receives a second response sent by the second data analysis network element or the first data storage network element, wherein the second response comprises the second analysis result.
In a possible implementation manner, the second request includes visited place identification information of a visited place where the roaming terminal group is located. The identification information of the visited place may indicate a source of the second request.
In a possible implementation manner, the second request further includes type identification information of the second analysis result, where the type identification information is used to identify a type of the second analysis result; and the second data analysis network element or the first data storage network element determines the second analysis result corresponding to the type identification information according to the second request. Optionally, the second request further includes identification information of the roaming terminal group, which is used to indicate a second analysis result of the roaming terminal group.
The second request also comprises the visiting place identification information of the visiting place. The visitor location identification information is used to specify the identity of the second request sender, in other words, to inform the processing object of the second request of the request subject of the second data analysis result.
The visitor identification information includes one or more of the following: public land mobile network PLMN identification information (PLMN ID) of the visited place, identification information (NWDAF ID) of the data analysis network element of the visited place, or regional information of the visited place, which can refer to in which region of the visited place, such as shenzhen city in guangdong province.
The identification information (NWDAF ID) of the data analysis network element of the visited place is used to uniquely identify the NWDAF in the visited place that provides the data analysis service for the terminal,
the data type of the first data and the second data is related to the required first analysis result, such as the analysis result related to the service of the terminal is requested, and the first data and the second data are the data related to the service directly or indirectly in the related functional network element; if the request is the analysis result related to the abnormal behavior of the terminal, the first data and the second data are the data which are directly or indirectly related to the abnormal behavior of the user in the related functional network element; if other types of analysis results are requested, the first data and the second data are the corresponding types of data.
In fact, the second analysis result may also be an analysis result of the visited place to which the roaming terminal group has been visited, and the data analysis result is generated by the data analysis network element of the visited place to which the roaming terminal group has been visited and is sent to the home place for storage. Such as: the roaming terminal group belongs to the shanghai area, the roaming terminal group currently roams to the beijing area, and the roaming terminal group also roams to the guangdong area before the shanghai area, so that the second analysis result may be the analysis result of the guangdong area. It should be noted that the visited place where the terminal has visited may be the same as or different from the visited place currently visited. Take the example that the visited place can be different from the current visited place:
the above procedure of obtaining the second analysis result has been described, the second analysis result may be included in the second response, and the second response may further include the home identification information of the roaming terminal group. The home identification information is used to indicate that the second analysis result is from a home.
The second data analysis network element or the first data storage network element sends the analysis result of the visited place or the analysis result of the home place in the second response, and the implementation method is specifically multiple. For example, in a possible implementation manner, if there is an analysis result of the visited place, the analysis result of the visited place is sent first; if the analysis result of the attribution is not sent again; if neither of them is present, a null message is sent or no second analysis result is indicated. For another example, in another possible implementation, when there are both the analysis result once visited and the analysis result of home, both may be sent simultaneously. For another example, in another possible implementation manner, it may further refine to distinguish whether the visited place is the visited place where the roaming terminal group is currently located, and send the following analysis results as a second analysis result from high to low in priority: the current visit place of the roaming terminal group generates an analysis result for the roaming terminal group, the home place generates an analysis result for the roaming terminal group, other visit places generate an analysis result for the roaming terminal group, and the null message indicates that no second analysis result exists. Of course, other specific implementations exist and are not listed here.
503. The first data analysis network element sends a first response to the first functional network element, and correspondingly, the first functional network element receives the first response.
The first response includes the first analysis result, and further includes first indication information or home identification information, where the first indication information is used to indicate that the first data analysis result is generated for a roaming terminal group, and the home identification information is used to indicate that the first data analysis result is generated for the roaming terminal group of the home.
Subsequent steps 504 to 508 are the same as steps 104 to 109 in the embodiment corresponding to fig. 3, and may participate in understanding of the embodiment corresponding to fig. 3, and are not repeated herein.
It should be noted that the embodiment described in fig. 6 is substantially the same as the embodiment corresponding to fig. 3 to fig. 5, and the difference between this embodiment and the foregoing embodiment is that the first functional network element explicitly indicates a terminal, which may be a single terminal or a roaming terminal group, in the embodiment described in fig. 3 to fig. 5. In the embodiment illustrated in fig. 6, the first functional network element does not indicate a terminal, but the first data analysis network element determines the roaming terminal group, and then determines the first analysis result of the roaming terminal group. With the above-described differences removed, the embodiment corresponding to fig. 6 can participate in understanding the embodiments corresponding to fig. 3 to 5.
The above-mentioned scheme provided by the embodiment of the present application is introduced mainly from the perspective of interaction between network elements. It is to be understood that the above-mentioned data analyzing network element, functional network element or network device, in order to implement the above-mentioned functions, includes a corresponding hardware structure and/or software module for performing the respective functions. Those skilled in the art will readily appreciate that the functions described in connection with the embodiments disclosed herein may be implemented as hardware or a combination of hardware and computer software. 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 application.
From the perspective of an entity device, the data analysis network element, the functional network element, or the network device may be implemented by one entity device, may also be implemented by multiple entity devices together, and may also be a logic function unit in one entity device, which is not specifically limited in this embodiment of the present application.
For example, the data analysis network element, the functional network element or the network device described above may be implemented by the communication apparatus in fig. 7. Fig. 7 is a schematic diagram illustrating a hardware structure of a communication device according to an embodiment of the present application. The communication device includes at least one processor 601, memory 602, communication lines 603. The communication device may also include at least one of a transceiver 604 and a communication interface 606.
The processor 601 may be a general processing unit (CPU), a microprocessor, an application-specific integrated circuit (server IC), or one or more ICs for controlling the execution of programs in accordance with the present invention.
Communication link 603 may include a path for transmitting information between the aforementioned components.
The transceiver 604 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), etc. The transceiver 604 may also be a transceiving circuit or a transceiver. The transceiver may be included when the communication device is a data analysis network element, a functional network element or a network apparatus.
The communication device may also include a communication interface 606.
The memory 602 may be, but is not limited to, a read-only memory (ROM) or other type of static storage device that may store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that may store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a compact disc read-only memory (CD-ROM) or other optical disc storage, optical disc storage (including compact disc, laser disc, optical disc, digital versatile disc, blu-ray disc, etc.), magnetic disk storage media or other magnetic storage devices, 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 601 via a communication line 603. The memory 602 may also be integrated with the processor 601.
The memory 602 is used for storing computer-executable instructions for executing the present application, and is controlled by the processor 601 to execute the instructions. The processor 601 is configured to execute the computer-executable instructions stored in the memory 602, so as to implement the data processing method provided by the above-mentioned method embodiment of the present application.
In a possible implementation manner, the computer execution instructions in the embodiment of the present application may also be referred to as application program codes, which is not specifically limited in the embodiment of the present application.
In particular implementations, processor 601 may include one or more CPUs such as CPU0 and CPU1 in fig. 7 as an example.
In particular implementations, a communication device may include multiple processors, such as processor 601 and processor 605 in fig. 7, for example, as an example. Each of these processors may be a single-core (single-CPU) processor or a multi-core (multi-CPU) processor. A processor herein may refer to one or more devices, circuits, and/or processing cores for processing data (e.g., computer-executable instructions).
From the perspective of a functional unit, the present application may perform functional unit division on a data analysis network element, a functional network element, or a network device according to the above method embodiment, for example, each functional unit may be divided corresponding to each function, or two or more functions may be integrated into one functional unit. The integrated functional unit can be realized in a form of hardware or a form of software functional unit.
For example, in the case of dividing each functional unit in an integrated manner, fig. 8 shows a schematic structural diagram of a data analysis network element. As shown in fig. 8, an embodiment of the data analysis network element 70 of the present application may include a receiving unit 701, a processing unit 702, and a sending unit 703;
a receiving unit 701, configured to receive a first request sent by a first functional network element, where the first request is used to request a first analysis result of a terminal;
a processing unit 702, configured to determine that the terminal is a roaming terminal, and generate the first analysis result of the terminal according to the first request;
a sending unit 703, configured to send a first response to the first functional network element, where the first response includes the first analysis result, and the first response further includes first indication information or home identification information of the terminal, and the first indication information is used to indicate that the first data analysis result is generated for a roaming terminal.
According to the scheme, the data analysis network element can analyze the data of the roaming terminal, so that the integrity and the accuracy of an analysis result related to the roaming terminal are ensured.
In a possible implementation manner of the present application, the processing unit 702 is configured to determine that the terminal is a roaming terminal according to the second indication information or/and the home identifier of the terminal when the first request includes the second indication information or/and the home identifier of the terminal, where the second indication information is used to indicate that the terminal is a roaming terminal.
In a possible implementation manner of the present application, the receiving unit 701 is further configured to receive a second analysis result of the terminal from a second data analysis network element or a first data storage network element, where the second data analysis network element or the first data storage network element belongs to a home location of the terminal;
the processing unit 702 is configured to generate the first analysis result according to the second analysis result, where the second analysis result is an analysis result that is generated by the second data analysis network element on the home location of the terminal or the roaming terminal group to which the terminal belongs.
In a possible implementation manner of the present application, the receiving unit 701 is further configured to receive second data of the terminal from a third functional network element, where the third functional network element belongs to a home location of the terminal;
the processing unit 702 is configured to generate the first analysis result according to the second data.
In a possible implementation manner of the present application, the receiving unit 701 is further configured to receive a second analysis result of the terminal from a second data analysis network element or a first data storage network element, where the second data analysis network element or the first data storage network element belongs to a home location of the terminal;
the processing unit 702 is configured to generate the first analysis result according to the second analysis result.
In a possible implementation manner of the present application, the second analysis result is an analysis result generated by the second data analysis network element at the home location for the terminal or the roaming terminal group to which the terminal belongs.
In a possible implementation manner of the present application, the processing unit 702 is configured to determine the second data analysis network element or the first data storage network element according to the attribution identification information of the terminal.
In a possible implementation manner of the present application, the sending unit 703 is further configured to send a second request to the second data analysis network element or the first data storage network element, where the second request is used to request the second analysis result;
the receiving unit 701 is further configured to receive a second response sent by the second data analysis network element or the first data storage network element, where the second response includes the second analysis result.
In a possible implementation manner of the present application, the second request includes visited place identification information of a visited place where the terminal is located.
In one possible implementation manner of the present application, the second response further includes the attribution identification information.
In a possible implementation manner of the present application, the first response further includes visited place identification information of a visited place where the terminal is located.
In a possible implementation manner of the present application, the sending unit 703 is further configured to send the first analysis result to a third data analysis network element or a second data storage network element, where the third data analysis network element or the second data storage network element belongs to a home of the terminal.
In a possible implementation manner of the present application, the sending unit 703 is further configured to send visited place identification information of a visited place where the terminal is located to the third data analysis network element or the second data storage network element.
In a possible implementation manner of the present application, the first analysis result is an analysis result of a roaming terminal group to which the terminal belongs.
In one possible implementation manner of the present application, the home identification information includes one or more of the following information: public land mobile network identification information of the home, identification information of a data analysis network element of the home, or regional information of the home.
In one possible implementation manner of the present application, the visiting identification information includes one or more of the following information: public land mobile network identification information of the visited place, identification information of a data analysis network element of the visited place, or area information of the visited place.
In one possible implementation manner of the present application, the terminal includes a single terminal or a terminal group.
In a possible implementation manner of the present application, the first analysis result is used by the first functional network element to make an enhancement policy according to the first analysis result.
In a possible implementation manner of the present application, the first analysis result is service experience evaluation data of the terminal, and the first functional network element is a policy control functional network element, where the first analysis result is used by the policy control functional network element to make a quality of service enhancement policy for the service of the terminal according to the service experience evaluation data of the terminal.
In a possible implementation manner of the present application, the first analysis result is mobility analysis data of the terminal, and the first functional network element is a mobility management functional network element, where the first analysis result is used by the mobility management functional network element to make a mobility management enhancement policy for the terminal according to the mobility analysis data of the terminal.
In a possible implementation manner of the present application, the first analysis result is expected behavior analysis data of the terminal, and the first functional network element is a session management functional network element, where the first analysis result is used by the session management functional network element to make a session management enhancement policy for the terminal according to the expected behavior analysis data of the terminal.
In a possible implementation manner of the present application, the processing unit 702 is further configured to, when the first request further includes a type of the first analysis result, generate the first analysis result of the terminal according to the type of the first analysis result.
The data analysis network element 70 provided in the embodiment of the present application is used to execute the method executed by the data analysis network element in the method embodiment corresponding to fig. 3 to fig. 5, so that the embodiment of the present application can be understood with reference to the relevant parts in the method embodiment corresponding to fig. 3 to fig. 5.
In the embodiment of the present application, the data analysis network element 70 is presented in a form of dividing each functional unit in an integrated manner. "functional unit" herein may refer to an application specific integrated circuit, a processor and memory that execute one or more software or firmware programs, an integrated logic circuit, and/or other devices that may provide the described functionality. In a simple embodiment, it will be appreciated by those skilled in the art that the data analysis network element 70 may take the form shown in fig. 7.
For example, the processor 601 of fig. 7 may cause the data analysis network element 70 to perform the method performed by the data analysis network element in the method embodiments corresponding to fig. 3 to fig. 5 by calling a computer stored in the memory 602 to execute the instructions.
Specifically, the functions/implementation processes of the receiving unit 701, the processing unit 702, and the sending unit 703 in fig. 8 may be implemented by the processor 601 in fig. 7 invoking a computer executing instructions stored in the memory 602. Alternatively, the function/implementation procedure of the processing unit 702 in fig. 8 may be implemented by the processor 601 in fig. 7 calling a computer executing instruction stored in the memory 602, and the function/implementation procedures of the receiving unit 701 and the transmitting unit 703 in fig. 8 may be implemented by the transceiver 604 in fig. 7.
Since the data analysis network element provided in the embodiment of the present application may be configured to execute the method in the embodiment corresponding to fig. 3 to fig. 5, reference may be made to the method embodiment corresponding to fig. 3 to fig. 5 for technical effects obtained in the embodiment of the present application, and details are not described here again.
For example, in the case of dividing each functional unit in an integrated manner, fig. 9 shows a schematic structural diagram of a functional network element. As shown in fig. 9, an embodiment of the functional network element 80 of the present application may include a receiving unit 801, a processing unit 802, and a sending unit 803;
a sending unit 803, configured to send a first request to a first data analysis network element, where the first request is used to request a first analysis result of a terminal;
a receiving unit 801, configured to receive a first response sent by the first data analysis network element, where the first response includes the first analysis result, and the first response further includes first indication information or home identification information of the terminal, where the first indication information is used to indicate that the first data analysis result is generated for a roaming terminal.
In the embodiment of the present application, the functional network element may request that the first data analysis network element may analyze the data of the roaming terminal, thereby ensuring the integrity and accuracy of an analysis result related to the roaming terminal.
In a possible implementation manner of the present application, the first response further includes visited place identification information of a visited place where the terminal is located.
In a possible implementation manner of the present application, the first request includes second indication information or/and attribution identification information of the terminal, where the second indication information is used to indicate that the terminal is a roaming terminal.
In a possible implementation manner of the present application, the processing unit 802 is configured to determine that the terminal is a roaming terminal; or, determining the attribution identification information of the terminal.
In a possible implementation manner of the present application, the processing unit 802 is further configured to obtain subscription data of the terminal, where the subscription data of the terminal includes home identifier information of the terminal; and determining attribution identification information of the terminal according to the subscription data of the terminal.
In a possible implementation manner of this application, the sending unit 803 is further configured to send, by the NRF network element, a request message for requesting the home identifier information of the terminal, where the request message includes one or more of the following information: identification information of the terminal, identification information of a home public land network of the terminal, and home region information of the terminal;
a receiving unit 801, further configured to receive a response message sent by the NRF network element, where the response message includes home identifier information of the terminal; and the first functional network element determines the attribution identification information of the terminal according to the response message sent by the NRF network element.
In a possible implementation manner of the present application, the first analysis result is an analysis result of a roaming terminal group to which the terminal belongs.
In one possible implementation manner of the present application, the home identification information includes one or more of the following information: public land mobile network identification information of the attribution, identification information of a data analysis network element of the attribution, and regional information of the attribution.
In one possible implementation manner of the present application, the visiting identification information includes one or more of the following information: public land mobile network identification information of the visited place, identification information of a data analysis network element of the visited place, and area information of the visited place.
In one possible implementation manner of the present application, the terminal includes a single terminal or a terminal group.
In a possible implementation manner of the present application, the processing unit 802 is further configured to formulate an enhancement policy according to the first analysis result.
In a possible implementation manner of the present application, the processing unit 802 is configured to, when the first functional network element is a policy control functional network element and the first analysis result is the service experience evaluation data of the terminal, formulate a service quality enhancement policy for the service of the terminal according to the service experience evaluation data of the terminal.
In a possible implementation manner of the present application, the processing unit 802 is configured to, when the first functional network element is a mobility management functional network element and the first analysis result is mobility analysis data of the terminal, formulate a mobility management enhancement policy for the terminal according to the mobility analysis data of the terminal.
In a possible implementation manner of the present application, the processing unit 802 is configured to, when the first functional network element is a session management functional network element and the first analysis result is the expected behavior analysis data of the terminal, formulate a session management enhancement policy for the terminal according to the expected behavior analysis data of the terminal.
In a possible implementation manner of the present application, the first request further includes a type of the first analysis result, where the type of the first analysis result is used for the first data analysis network element to generate the first analysis result of the terminal.
The functional network element 80 provided in the embodiment of the present application is configured to execute the method executed by the functional network element in the method embodiment corresponding to fig. 3 to fig. 5, so that the embodiment of the present application can be understood by referring to relevant parts in the method embodiment corresponding to fig. 3 to fig. 5.
In the embodiment of the present application, the functional network element 80 is presented in a form of dividing each functional unit in an integrated manner. "functional unit" herein may refer to an application specific integrated circuit, a processor and memory that execute one or more software or firmware programs, an integrated logic circuit, and/or other devices that may provide the described functionality. In a simple embodiment, it will be appreciated by those skilled in the art that the functional network element 80 may take the form shown in fig. 7.
For example, the processor 601 of fig. 7 may cause the functional network element 80 to perform the method performed by the functional network element in the method embodiment corresponding to fig. 3 to fig. 5 by calling a computer stored in the memory 602 to execute the instructions.
Specifically, the functions/implementation processes of the receiving unit 801, the processing unit 802, and the sending unit 803 in fig. 9 can be implemented by the processor 601 in fig. 7 invoking a computer executing instructions stored in the memory 602. Alternatively, the function/implementation procedure of the processing unit 802 in fig. 9 may be implemented by the processor 601 in fig. 7 calling a computer executing instruction stored in the memory 602, and the function/implementation procedures of the receiving unit 801 and the transmitting unit 803 in fig. 9 may be implemented by the transceiver 604 in fig. 7.
Since the functional network element provided in the embodiment of the present application may be configured to execute the method in the embodiment corresponding to fig. 3 to fig. 5, reference may be made to the method embodiment corresponding to fig. 3 to fig. 5 for technical effects obtained in the embodiment of the present application, and details are not described here again.
For example, in the case where the functional units are divided in an integrated manner, fig. 10 shows a schematic configuration diagram of a network device. The network device may be a second analysis network element or a first data storage network element, as shown in fig. 10, an embodiment of the network device 90 of the present application may include a receiving unit 901, a processing unit 902, and a sending unit 903;
a receiving unit 901, configured to receive a second request sent by a first data analysis network element, where the second request is used to request a second analysis result of a terminal, where the second data analysis network element or the first data storage network element belongs to a home location of the terminal, and the first data analysis network element belongs to a visited location where the terminal is located;
a processing unit 902, configured to determine a second analysis result of the terminal according to the second request;
a sending unit 903, configured to send a second response to the first data analysis network element, where the second response includes the second analysis result.
The network device provided by the embodiment of the application can provide a second analysis result for the first data analysis network element, so that the first data analysis network element can be beneficial to increasing the diversity, integrity and accuracy of the analysis result of the roaming terminal.
In a possible implementation manner of the present application, the second analysis result is an analysis result generated by the second data analysis network element at the home location for the terminal or the roaming terminal group to which the terminal belongs.
In a possible implementation manner of the present application, the second analysis result is an analysis result generated by the first data analysis network element at the visited place for the terminal or the roaming terminal group to which the terminal belongs.
In a possible implementation manner of the present application, the second response further includes visited identification information corresponding to the first data analysis network element.
In a possible implementation manner of the present application, the second analysis result is an analysis result generated by a fourth data analysis network element at a corresponding visited place of the fourth data analysis network element for the terminal or the roaming terminal group to which the terminal belongs, where the visited place corresponding to the fourth data analysis network element is different from the visited place corresponding to the first data analysis network element or the second data analysis network element.
In a possible implementation manner of the present application, the second response further includes visited identification information corresponding to the fourth data analysis network element.
In one possible implementation manner of the present application, the second response further includes home identification information of the terminal.
In a possible implementation manner of the present application, the second request further includes visited place identification information of a visited place where the terminal is located.
In a possible implementation manner of the present application, the processing unit 902 is configured to determine a second analysis result of the terminal according to the visiting place identification information of the visiting place where the terminal is located.
In a possible implementation manner of the present application, the receiving unit 901 is further configured to receive the first analysis result sent by the first data analysis network element;
and the corresponding storage unit is used for storing the first analysis result.
In a possible implementation manner of the present application, the first analysis result is an analysis result of a roaming terminal group to which the terminal belongs.
In a possible implementation manner of the present application, the receiving unit 901 is further configured to receive visited place identification information of a visited place where the terminal is located, where the information is sent by the first data analysis network element.
In one possible implementation manner of the present application, the home identification information includes one or more of the following information: public land mobile network identification information of the attribution, identification information of a data analysis network element of the attribution, and regional information of the attribution.
In one possible implementation manner of the present application, the visiting identification information includes one or more of the following information: public land mobile network identification information of the visited place, identification information of a data analysis network element of the visited place, and area information of the visited place.
In one possible implementation manner of the present application, the terminal includes a single terminal or a terminal group.
The network device 90 provided in the embodiment of the present application is used to execute the method executed by the network device in the method embodiment corresponding to fig. 3 to fig. 5, so that the embodiment of the present application can be understood by referring to relevant parts in the method embodiment corresponding to fig. 3 to fig. 5.
In the embodiment of the present application, the network device 90 is presented in a form of dividing each functional unit in an integrated manner. "functional unit" herein may refer to an application specific integrated circuit, a processor and memory that execute one or more software or firmware programs, an integrated logic circuit, and/or other devices that may provide the described functionality. In a simple embodiment, one skilled in the art will recognize that network device 90 may take the form shown in FIG. 7.
For example, processor 601 of fig. 7 may cause network device 90 to perform the methods performed by the network device in the method embodiments corresponding to fig. 3-5 by invoking a computer stored in memory 602 to execute the instructions.
Specifically, the functions/implementation processes of the receiving unit 901, the processing unit 902 and the sending unit 903 in fig. 10 can be implemented by the processor 601 in fig. 7 invoking a computer executing instruction stored in the memory 602. Alternatively, the function/implementation procedure of the processing unit 902 in fig. 10 may be implemented by the processor 601 in fig. 7 calling a computer executing instruction stored in the memory 602, and the function/implementation procedures of the receiving unit 901 and the transmitting unit 903 in fig. 10 may be implemented by the transceiver 604 in fig. 7.
Since the network device provided in the embodiment of the present application can be used to execute the method of the embodiment corresponding to fig. 3 to 5, reference may be made to the method embodiment corresponding to fig. 3 to 5 for technical effects obtained in the embodiment of the present application, and details are not repeated here.
For example, in the case of dividing each functional unit in an integrated manner, fig. 11 shows a schematic structural diagram of a data analysis network element. As shown in fig. 11, an embodiment of the data analysis network element 100 of the present application may include a receiving unit 1001, a processing unit 1002, and a sending unit 1003;
a receiving unit 1001, configured to receive a first request sent by a first functional network element, where the first request is used to request a first analysis result;
a processing unit 1002, configured to generate the first analysis result for a roaming terminal group;
a sending unit 1003, configured to send a first response, where the first response includes the first analysis result, and the first response further includes first indication information or home identification information, where the first indication information is used to indicate that the first data analysis result is generated for a roaming terminal group, and the home identification information is used to indicate that the first data analysis result is generated for the roaming terminal group in the home.
The data analysis network element provided by the embodiment of the application can analyze the data of the roaming terminal group, so that the integrity and the accuracy of an analysis result related to the roaming terminal group are ensured.
In a possible implementation manner of the present application, the processing unit 1002 is configured to further include type identification information of the first analysis result in the first request, where the type identification information is used to identify a type of the first analysis result, and generate the first analysis result corresponding to the type identification information of the roaming terminal group according to the first request.
In a possible implementation manner of the present application, the first request includes second indication information or/and the home identifier, where the second indication information is used to indicate that the first request is used to request a first analysis result of a roaming terminal group, and the home identifier is used to indicate that the first request is used to request a first analysis result from a roaming terminal group in a home to which the home identifier corresponds.
In a possible implementation manner of the present application, the processing unit 1002 is further configured to determine the roaming terminal group.
In a possible implementation manner of the present application, the processing unit 1002 is configured to determine the roaming terminal group according to the second indication information or/and the home identifier information.
In a possible implementation manner of the present application, the receiving unit 1001 is further configured to receive first data of the roaming terminal group from a second functional network element, where the second functional network element belongs to a visited place where the roaming terminal group is located;
the processing unit 1002 is configured to generate the first analysis result according to the first data.
In a possible implementation manner of the present application, the receiving unit 1001 is further configured to receive second data of the roaming terminal group from a third functional network element, where the third functional network element belongs to a home location of the roaming terminal group;
the processing unit 1002 is configured to generate the first analysis result according to the second data.
In a possible implementation manner of the present application, the receiving unit 1001 is further configured to receive a second analysis result of the roaming terminal group from a second data analysis network element or a first data storage network element, where the second data analysis network element or the first data storage network element belongs to a home of the roaming terminal group;
the processing unit 1002 is configured to generate the first analysis result according to the second analysis result.
In a possible implementation manner of the present application, the second analysis result is an analysis result generated by the second data analysis network element at the home, and an analysis result type corresponding to the second analysis result is the same as an analysis result type corresponding to the first analysis result.
In a possible implementation manner of the present application, the second analysis result is an analysis result generated by the first data analysis network element on the roaming terminal group at the visited place.
In a possible implementation manner of the present application, the second analysis result is an analysis result generated by a fourth data analysis network element on a visited place of the roaming terminal group corresponding to the fourth data analysis network element, where the visited place corresponding to the fourth data analysis network element is different from a visited place corresponding to the first data analysis network element or the second data analysis network element.
In a possible implementation manner of the present application, the processing unit 1002 is configured to determine the second data analysis network element or the first data storage network element according to the attribution identification information of the roaming terminal group.
In a possible implementation manner of the present application, the sending unit 1003 is further configured to send a second request to the second data analysis network element or the first data storage network element, where the second request is used to request the second analysis result;
a receiving unit 1001, configured to receive a second response sent by the second data analysis network element or the first data storage network element, where the second response includes the second analysis result.
In a possible implementation manner of the present application, the second request includes visited place identification information of a visited place where the roaming terminal group is located.
In one possible implementation manner of the present application, the second response further includes the attribution identification information.
In a possible implementation manner of the present application, the second analysis result is an analysis result from the visited place to which the roaming terminal group has been visited, which is stored in the second data analysis network element or the first data storage network element.
In a possible implementation manner of the present application, the second response further includes visited place identification information of the visited place to which the user has visited.
In a possible implementation manner of the present application, the first response further includes visited place identification information of a visited place where the roaming terminal group is located.
In a possible implementation manner of the present application, the sending unit 1003 is further configured to send the first analysis result to a third data analysis network element or a second data storage network element, where the third data analysis network element or the second data storage network element belongs to a home of the roaming terminal group.
In a possible implementation manner of the present application, the sending unit 1003 is further configured to send visited place identification information of a visited place where the roaming terminal group is located to the third data analysis network element or the second data storage network element.
In one possible implementation manner of the present application, the home identification information includes one or more of the following information: public land mobile network identification information of the home, identification information of a data analysis network element of the home, or regional information of the home.
In one possible implementation manner of the present application, the visiting identification information includes one or more of the following information: public land mobile network identification information of the visited place, identification information of a data analysis network element of the visited place, or area information of the visited place.
In one possible implementation manner of the present application, the roaming terminal group includes a single roaming terminal group or a plurality of roaming terminal groups.
In a possible implementation manner of the present application, the first analysis result is used by the first functional network element to make an enhancement policy according to the first analysis result.
In a possible implementation manner of the present application, the first analysis result is service experience evaluation data of the roaming terminal group, and the first functional network element is a policy control functional network element, where the first analysis result is used by the policy control functional network element to make a service quality enhancement policy for the service of the roaming terminal group according to the service experience evaluation data of the roaming terminal group.
In a possible implementation manner of the present application, the first analysis result is mobility analysis data of the roaming terminal group, and the first functional network element is a mobility management functional network element, where the first analysis result is used by the mobility management functional network element to make a mobility management enhancement policy for the roaming terminal group according to the mobility analysis data of the roaming terminal group.
In a possible implementation manner of the present application, the first analysis result is expected behavior analysis data of the roaming terminal group, and the first functional network element is a session management functional network element, where the first analysis result is used by the session management functional network element to make a session management enhancement policy for the roaming terminal group according to the expected behavior analysis data of the roaming terminal group.
In a possible implementation manner of the present application, the processing unit 1002 is configured to, when the type of the first analysis result is further included in the first request; and generating the first analysis result of the roaming terminal group according to the type of the first analysis result.
The data analysis network element 100 provided in the embodiment of the present application is used to execute the method executed by the data analysis network element in the method embodiment corresponding to fig. 6, so that the embodiment of the present application can be understood by referring to relevant parts in the method embodiment corresponding to fig. 6.
In the embodiment of the present application, the data analysis network element 100 is presented in a form of dividing each functional unit in an integrated manner. "functional unit" herein may refer to an application specific integrated circuit, a processor and memory that execute one or more software or firmware programs, an integrated logic circuit, and/or other devices that may provide the described functionality. In a simple embodiment, the data analysis network element 100 may take the form shown in fig. 7, as will be appreciated by those skilled in the art.
For example, the processor 601 in fig. 7 may cause the data analysis network element 100 to execute the method performed by the data analysis network element in the method embodiment corresponding to fig. 6 by calling a computer stored in the memory 602 to execute the instructions.
Specifically, the functions/implementation processes of the receiving unit 1001, the processing unit 1002, and the sending unit 1003 in fig. 11 may be implemented by the processor 601 in fig. 7 invoking a computer executing instruction stored in the memory 602. Alternatively, the function/implementation procedure of the processing unit 1002 in fig. 11 may be implemented by the processor 601 in fig. 7 calling a computer executing instruction stored in the memory 602, and the function/implementation procedures of the receiving unit 1001 and the transmitting unit 1003 in fig. 11 may be implemented by the transceiver 604 in fig. 7.
Since the data analysis network element provided in the embodiment of the present application may be used to execute the method in the embodiment corresponding to fig. 6, reference may be made to the method embodiment corresponding to fig. 6 for technical effects obtained in the embodiment of the present application, and details are not described here again.
For example, in the case of dividing each functional unit in an integrated manner, fig. 12 shows a schematic structural diagram of a functional network element. As shown in fig. 12, an embodiment of the functional network element 110 of the present application may include a receiving unit 1101, a processing unit 1102, and a sending unit 1103;
a sending unit 1103, configured to send a first request to a first data analysis network element, where the first request is used to request a first analysis result;
a receiving unit 1101, configured to receive a first response sent by the first data analysis network element, where the first response includes the first analysis result, and the first response further includes first indication information or home identification information, where the first indication information is used to indicate that the first data analysis result is generated for a roaming terminal group, and the home identification information is used to indicate that the first data analysis result is generated for the roaming terminal group in the home.
The functional network element provided by the embodiment of the application can request the first data analysis network element to analyze the data of the roaming terminal group, so that the integrity and the accuracy of an analysis result related to the roaming terminal are ensured.
In a possible implementation manner of the present application, the first response further includes visited place identification information of a visited place where the roaming terminal group is located.
In a possible implementation manner of the present application, the first request includes second indication information or/and the home identifier, where the second indication information is used to indicate that the first request is used to request a first analysis result of a roaming terminal group, and the home identifier is used to indicate that the first request is used to request a first analysis result from a roaming terminal group in a home to which the home identifier corresponds.
In a possible implementation manner of the present application, the processing unit 1102 is configured to determine attribution identification information of the roaming terminal group.
In a possible implementation manner of the present application, the processing unit 1102 is configured to acquire subscription data of the roaming terminal group, where the subscription data of the roaming terminal group includes home identifier information of the terminal; and determining attribution identification information of the roaming terminal group according to the subscription data of the roaming terminal group.
In a possible implementation manner of the present application, the sending unit 1103 is configured to send a request message for requesting the home identifier information of the roaming terminal group, where the request message includes one or more of the following information: the identification information of the roaming terminal group, the attributive public land network identification information of the roaming terminal group and the attributive area information of the roaming terminal group;
a receiving unit 1101, configured to receive a response message sent by the NRF network element, where the response message includes the home identifier information in the roaming terminal group; and the first functional network element determines the attribution identification information of the roaming terminal group according to the response message sent by the NRF network element.
In one possible implementation manner of the present application, the home identification information includes one or more of the following information: public land mobile network identification information of the attribution, identification information of a data analysis network element of the attribution, and regional information of the attribution.
In one possible implementation manner of the present application, the visiting identification information includes one or more of the following information: public land mobile network identification information of the visited place, identification information of a data analysis network element of the visited place, and area information of the visited place.
In a possible implementation manner of the present application, the processing unit 1102 is further configured to formulate an enhancement policy according to the first analysis result.
In a possible implementation manner of the present application, the processing unit 1102 is configured to, when the first functional network element is a policy control functional network element and the first analysis result is the service experience assessment data of the roaming terminal group, formulate a service quality enhancement policy for the service of the roaming terminal group according to the service experience assessment data of the roaming terminal group.
In a possible implementation manner of the present application, the processing unit 1102 is configured to, when the first functional network element is a mobility management functional network element and the first analysis result is mobility analysis data of the roaming terminal group, formulate a mobility management enhancement policy for the roaming terminal group according to the mobility analysis data of the roaming terminal group.
In a possible implementation manner of the present application, the processing unit 1102 is configured to, when the first functional network element is a session management functional network element and the first analysis result is expected behavior analysis data of the roaming terminal group, formulate a session management enhancement policy for the roaming terminal group according to the expected behavior analysis data of the roaming terminal group.
In a possible implementation manner of the present application, the first request further includes a type of the first analysis result, where the type of the first analysis result is used for the first data analysis network element to generate the first analysis result of the roaming terminal group.
The functional network element 110 provided in the embodiment of the present application is configured to execute the method executed by the functional network element in the method embodiment corresponding to fig. 6, so that the embodiment of the present application can be understood by referring to relevant parts in the method embodiment corresponding to fig. 6.
In the embodiment of the present application, the functional network element 110 is presented in a form of dividing each functional unit in an integrated manner. "functional unit" herein may refer to an application specific integrated circuit, a processor and memory that execute one or more software or firmware programs, an integrated logic circuit, and/or other devices that may provide the described functionality. In a simple embodiment, the functional network element 110 may take the form shown in fig. 7, as will be appreciated by those skilled in the art.
For example, the processor 601 in fig. 7 may cause the functional network element 110 to execute the method performed by the functional network element in the method embodiment corresponding to fig. 6 by calling a computer stored in the memory 602 to execute the instructions.
Specifically, the functions/implementation processes of the receiving unit 1101, the processing unit 1102 and the sending unit 1103 in fig. 12 can be implemented by the processor 601 in fig. 7 invoking a computer executing instruction stored in the memory 602. Alternatively, the function/implementation procedure of the processing unit 1102 in fig. 12 may be implemented by the processor 601 in fig. 7 calling a computer executing instruction stored in the memory 602, and the function/implementation procedures of the receiving unit 1101 and the sending unit 1103 in fig. 12 may be implemented by the transceiver 604 in fig. 7.
Since the functional network element provided in the embodiment of the present application may be configured to execute the method in the embodiment corresponding to fig. 6, reference may be made to the method embodiment corresponding to fig. 6 for technical effects obtained in the embodiment of the present application, and details are not described here again.
For example, in the case where the respective functional units are divided in an integrated manner, fig. 13 shows a schematic configuration diagram of a network device. The network device may include a second data analysis network element or a first data storage network element, as shown in fig. 13, an embodiment of the network device 120 of the present application may include a receiving unit 1201, a processing unit 1202, and a sending unit 1203;
a receiving unit 1201, configured to receive a second request sent by a first data analysis network element, where the second request is used to request a second analysis result, the second data analysis network element or the first data storage network element belongs to a home location of a roaming terminal, and the first data analysis network element belongs to a visited location where the roaming terminal is located;
a processing unit 1202, configured to determine the second analysis result according to the second request;
a sending unit 1203, configured to send a second response to the first data analysis network element, where the second response includes the second analysis result.
The network device provided by the embodiment of the application can provide a second analysis result for the first data analysis network element, so that the first data analysis network element can be beneficial to increasing the diversity, integrity and accuracy of the analysis result of the roaming terminal group.
In a possible implementation manner of the present application, the processing unit 1202 is configured to further include, in the second request, type identification information of the second analysis result, where the type identification information is used to identify a type of the second analysis result, and determine, according to the second request, the second analysis result corresponding to the type identification information.
In a possible implementation manner of the present application, the second request further includes visited place identification information of the visited place.
In a possible implementation manner of the present application, the processing unit 1202 is configured to determine the second analysis result according to the visited identification information.
In a possible implementation manner of the present application, the second analysis result is an analysis result generated by the second data analysis network element at the home, and an analysis result type corresponding to the second analysis result is the same as an analysis result type corresponding to the first analysis result.
In a possible implementation manner of the present application, the second analysis result is an analysis result generated by the first data analysis network element on the roaming terminal group at the visited place.
In a possible implementation manner of the present application, the second analysis result is an analysis result generated by a fourth data analysis network element on a visited place of the roaming terminal group corresponding to the fourth data analysis network element, where the visited place corresponding to the fourth data analysis network element is different from a visited place corresponding to the first data analysis network element or the second data analysis network element.
In a possible implementation manner of the present application, the second response further includes visited identification information corresponding to the first data analysis network element.
In one possible implementation manner of the present application, the second response further includes home identification information of the home. The home identification information is used to indicate that the second analysis result is generated at the home.
In a possible implementation manner of the present application, the processing unit 1202 is configured to determine a second analysis result of the terminal according to the visited place identification information of the visited place where the roaming terminal group is located.
In a possible implementation manner of the present application, the receiving unit 1201 is further configured to receive the first analysis result sent by the first data analysis network element;
and correspondingly, the storage unit is used for storing the first analysis result.
In a possible implementation manner of the present application, the receiving unit 1201 is further configured to receive visited place identification information of the visited place, where the visited place identification information is sent by the first data analysis network element.
In one possible implementation manner of the present application, the home identification information includes one or more of the following information: public land mobile network identification information of the home, identification information of a data analysis network element of the home, or regional information of the home.
In one possible implementation manner of the present application, the visiting identification information includes one or more of the following information: public land mobile network identification information of the visited place, identification information of a data analysis network element of the visited place, or area information of the visited place.
The network device 120 provided in the embodiment of the present application is configured to execute the method executed by the network device in the method embodiment corresponding to fig. 6, so that the embodiment of the present application can be understood by referring to relevant parts in the method embodiment corresponding to fig. 6.
In the embodiment of the present application, the network device 120 is presented in a form of dividing each functional unit in an integrated manner. "functional unit" herein may refer to an application specific integrated circuit, a processor and memory that execute one or more software or firmware programs, an integrated logic circuit, and/or other devices that may provide the described functionality. In a simple embodiment, one skilled in the art will recognize that network device 120 may take the form shown in FIG. 7.
For example, processor 601 of fig. 7 may execute the instructions by invoking a computer stored in memory 602 to cause network device 120 to perform the method performed by the network device in the method embodiment corresponding to fig. 6.
Specifically, the functions/implementation procedures of the receiving unit 1201, the processing unit 1202 and the sending unit 1203 in fig. 13 can be implemented by the processor 601 in fig. 7 invoking computer execution instructions stored in the memory 602. Alternatively, the functions/implementation procedures of the processing unit 1202 in fig. 13 may be implemented by the processor 601 in fig. 7 calling a computer executing instruction stored in the memory 602, and the functions/implementation procedures of the receiving unit 1201 and the transmitting unit 1203 in fig. 13 may be implemented by the transceiver 604 in fig. 7.
Since the network device provided in the embodiment of the present application can be used to execute the method in the embodiment corresponding to fig. 6, reference may be made to the method embodiment corresponding to fig. 6 for technical effects obtained in the embodiment of the present application, and details are not repeated here.
In the devices of fig. 7-13 of the present application, the respective components are communicatively connected, i.e., the processing unit (or processor), the storage unit (or memory), and the transceiver unit (transceiver) communicate with each other via internal connection paths, and control and/or data signals are transmitted. The above method embodiments of the present application may be applied to a processor, or the processor may implement the steps of the above method embodiments. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method embodiments may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The processor may be a Central Processing Unit (CPU), a Network Processor (NP), or a combination of a CPU and an NP, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA), or other programmable logic device, discrete gate or transistor logic device, or discrete hardware component. The various methods, steps, and logic blocks disclosed in this application may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in this application may be directly implemented by a hardware decoding processor, or may be implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor. Although only one processor is shown in the figure, the apparatus may comprise a plurality of processors or a processor may comprise a plurality of processing units. Specifically, the processor may be a single-core (single-CPU) processor or a multi-core (multi-CPU) processor.
The memory is used for storing computer instructions executed by the processor. The memory may be a memory circuit or a memory. The memory may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile memory may be a read-only memory, a programmable read-only memory, an erasable programmable read-only memory, an electrically erasable programmable read-only memory, or a flash memory. Volatile memory may be random access memory, which acts as external cache memory. The memory may be independent of the processor, or may be a storage unit in the processor, which is not limited herein. Although only one memory is shown in the figure, the apparatus may comprise a plurality of memories or the memory may comprise a plurality of memory units.
The transceiver is used for enabling the processor to interact with the content of other elements or network elements. Specifically, the transceiver may be a communication interface of the apparatus, a transceiving circuit or a communication unit, and may also be a transceiver. The transceiver may also be a communication interface or transceiving circuitry of the processor. Alternatively, the transceiver may be a transceiver chip. The transceiver may also include a transmitting unit and/or a receiving unit. In one possible implementation, the transceiver may include at least one communication interface. In another possible implementation, the transceiver may also be a unit implemented in software. In embodiments of the application, the processor may interact with other elements or network elements via the transceiver. For example: the processor obtains or receives content from other network elements through the transceiver. If the processor and the transceiver are physically separate components, the processor may interact with other elements of the apparatus without going through the transceiver.
In one possible implementation, the processor, the memory, and the transceiver may be connected to each other by a bus. The bus may be a Peripheral Component Interconnect (PCI) bus, an Extended Industry Standard Architecture (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc.
In the embodiments of the present application, words such as "exemplary" or "for example" are used to mean serving as an example, instance, or illustration. Any embodiment or design described herein as "exemplary" or "e.g.," is not necessarily to be construed as preferred or advantageous over other embodiments or designs. Rather, use of the word "exemplary" or "such as" is intended to present concepts related in a concrete fashion.
In the embodiments of the present application, various illustrations are made for the sake of an understanding of aspects. However, these examples are merely examples and are not meant to be the best mode of carrying out the present application.
In the embodiments of the present application, names of a request message, a response message, and other various messages are used for convenience of description. However, these messages are only used to illustrate the content to be carried or the functions to be implemented, and the specific names of the messages do not limit the application, for example: but also a first message, a second message, a third message, etc. These messages may be specific ones, and may be some fields in the messages. These messages may also represent various servicing operations.
The above-described embodiments may be implemented in whole or in part by software, hardware, firmware, or any combination thereof, and when implemented using 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 a computer can store or a data storage device, such as a server, a data center, etc., that is integrated with one or more available media. 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 technical solutions provided by the present application are introduced in detail, and the present application applies specific examples to explain the principles and embodiments of the present application, and the descriptions of the above examples are only used to help understand the method and the core ideas of the present application; meanwhile, for a person skilled in the art, according to the idea of the present application, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present application.

Claims (30)

1. A method of data processing, comprising:
a first data analysis network element receives a first request sent by a first functional network element, wherein the first request is used for requesting a first analysis result of a terminal;
the first data analysis network element determines that the terminal is a roaming terminal;
the first data analysis network element generates the first analysis result of the terminal according to the first request;
the first data analysis network element sends a first response to the first functional network element, where the first response includes the first analysis result, and the first response further includes first indication information or home identification information of the terminal, and the first indication information is used to indicate that the first data analysis result is generated for a roaming terminal.
2. The method according to claim 1, wherein the first request includes second indication information indicating that the terminal is a roaming terminal or/and home identification information of the terminal;
the determining, by the first data analysis network element, that the terminal is a roaming terminal includes:
and the first data analysis network element determines that the terminal is a roaming terminal according to the second indication information or/and the attribution identification information of the terminal.
3. The method according to claim 1 or 2, characterized in that the method further comprises:
the first data analysis network element receives first data of the terminal from a second functional network element, wherein the second functional network element belongs to a visited place where the terminal is located;
the generating, by the first data analysis network element, the first analysis result of the terminal includes:
and the first data analysis network element generates the first analysis result according to the first data.
4. The method according to claim 1 or 2, characterized in that the method further comprises:
the first data analysis network element receives second data of the terminal from a third functional network element, wherein the third functional network element belongs to the attribution place of the terminal;
the generating, by the first data analysis network element, the first analysis result of the terminal includes:
and the first data analysis network element generates the first analysis result according to the second data.
5. The method according to claim 1 or 2, characterized in that the method further comprises:
the first data analysis network element receives a second analysis result of the terminal from a second data analysis network element or a first data storage network element, wherein the second data analysis network element or the first data storage network element belongs to a home of the terminal;
the generating, by the first data analysis network element, the first analysis result of the terminal includes:
and the first data analysis network element generates the first analysis result according to the second analysis result.
6. The method according to claim 5, wherein the second analysis result is an analysis result generated by the second data analysis network element at the home location for the terminal or the roaming terminal group to which the terminal belongs.
7. The method according to any one of claims 1-6, further comprising:
and the first data analysis network element sends the first analysis result to a third data analysis network element or a second data storage network element, wherein the third data analysis network element or the second data storage network element belongs to the attribution of the terminal.
8. The method of claim 7, further comprising:
and the first data analysis network element sends the visiting place identification information of the visiting place where the terminal is located to the third data analysis network element or the second data storage network element.
9. The method according to any of claims 1-8, wherein the home identification information comprises one or more of the following information: public land mobile network identification information of the home, identification information of a data analysis network element of the home, or regional information of the home.
10. The method of any of claims 1-9, wherein the visitor identification information comprises one or more of the following: public land mobile network identification information of the visited place, identification information of a data analysis network element of the visited place, or area information of the visited place.
11. The method according to any of claims 1 to 10, wherein the terminals comprise a single terminal or a group of terminals.
12. A method of data processing, comprising:
a first functional network element sends a first request to a first data analysis network element, wherein the first request is used for requesting a first analysis result of a terminal;
the first functional network element receives a first response sent by the first data analysis network element, where the first response includes the first analysis result, and the first response further includes first indication information or attribution identification information of the terminal, and the first indication information is used to indicate that the first data analysis result is generated for a roaming terminal.
13. The method according to claim 12, wherein the first request comprises second indication information indicating that the terminal is a roaming terminal or/and home identification information of the terminal.
14. The method of claim 13, further comprising:
the first functional network element determines that the terminal is a roaming terminal; or the like, or, alternatively,
and the first functional network element determines the attribution identification information of the terminal.
15. The method according to any one of claims 12-14, further comprising:
and the first functional network element makes an enhancement strategy according to the first analysis result.
16. A method of data processing, comprising:
a second data analysis network element or a first data storage network element receives a second request sent by a first data analysis network element, wherein the second request is used for requesting a second analysis result of a terminal, the second data analysis network element or the data storage network element belongs to a home location of the terminal, and the first data analysis network element belongs to a visited location where the terminal is located;
the second data analysis network element or the data storage network element determines a second analysis result of the terminal according to the second request;
and the second data analysis network element or the data storage network element sends a second response to the first data analysis network element, wherein the second response comprises the second analysis result.
17. The method according to claim 16, wherein the second analysis result is an analysis result generated by the second data analysis network element at the home location for the terminal or the roaming terminal group to which the terminal belongs.
18. The method according to claim 16 or 17, characterized in that the second response further comprises home identification information of the terminal.
19. The method according to any one of claims 16-18, further comprising:
the second data analysis network element or the first data storage network element receives the first analysis result sent by the first data analysis network element;
and the second data analysis network element or the first data storage network element stores the first analysis result.
20. The method of claim 19, further comprising:
and the second data analysis network element or the data storage network element receives the visitor location identification information of the visitor location where the terminal is located, which is sent by the first data analysis network element.
21. A data analysis network element, comprising:
a receiving unit, configured to receive a first request sent by a first functional network element, where the first request is used to request a first analysis result of a terminal;
the processing unit is used for determining that the terminal is a roaming terminal and generating the first analysis result of the terminal according to the first request;
a sending unit, configured to send a first response to the first functional network element, where the first response includes the first analysis result, and the first response further includes first indication information or home identification information of the terminal, and the first indication information is used to indicate that the first data analysis result is generated for a roaming terminal.
22. The data analysis network element of claim 21,
the processing unit is configured to determine that the terminal is a roaming terminal according to second indication information or/and home identifier information of the terminal when the first request includes the second indication information or/and the home identifier information of the terminal, where the second indication information is used to indicate that the terminal is a roaming terminal.
23. A data analysis network element according to claim 21 or 22,
the receiving unit is further configured to receive a second analysis result of the terminal from a second data analysis network element or a first data storage network element, where the second data analysis network element or the first data storage network element belongs to a home of the terminal;
the processing unit is configured to generate the first analysis result according to the second analysis result, where the second analysis result is an analysis result generated by the second data analysis network element on the home location of the terminal or the roaming terminal group to which the terminal belongs.
24. A data analysis network element according to any of claims 21-23,
the sending unit is further configured to send the first analysis result to a third data analysis network element or a second data storage network element, where the third data analysis network element or the second data storage network element belongs to a home of the terminal.
25. A functional network element, comprising:
a sending unit, configured to send a first request to a first data analysis network element, where the first request is used to request a first analysis result of a terminal;
a receiving unit, configured to receive a first response sent by the first data analysis network element, where the first response includes the first analysis result, and the first response further includes first indication information or home identification information of the terminal, and the first indication information is used to indicate that the first data analysis result is generated for a roaming terminal.
26. The functional network element of claim 25, further comprising:
a processing unit, configured to determine that the terminal is a roaming terminal; or, determining the attribution identification information of the terminal.
27. A network device, wherein the network device comprises a data analysis network element or a data storage network element, the network device comprising:
a receiving unit, configured to receive a second request sent by a first data analysis network element, where the second request is used to request a second analysis result of a terminal, the second data analysis network element or the data storage network element belongs to a home location of the terminal, and the first data analysis network element belongs to a visited location where the terminal is located;
the processing unit is used for determining a second analysis result of the terminal according to the second request received by the receiving unit;
a sending unit, configured to send a second response to the first data analysis network element, where the second response includes the second analysis result.
28. The network device of claim 27,
the receiving unit is further configured to receive the first analysis result sent by the first data analysis network element.
29. A computer-readable storage medium storing one or more computer-executable instructions, wherein when the computer-executable instructions are executed by a processor, the processor performs the method of any one of claims 1-11, or performs the method of any one of claims 12-15, or performs the method of any one of claims 16-20.
30. A communication system comprising a data analysis network element, a functional network element and a network device;
the data analysis network element is configured to perform the method of any of the preceding claims 1-11;
the functional network element is configured to perform the method of any of the preceding claims 12-15;
the network device is configured to perform the method of any of the preceding claims 16-20.
CN201910276597.5A 2019-04-08 2019-04-08 Data processing method and device Active CN111800776B (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN201910276597.5A CN111800776B (en) 2019-04-08 2019-04-08 Data processing method and device
PCT/CN2020/079817 WO2020207213A1 (en) 2019-04-08 2020-03-18 Data processing method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910276597.5A CN111800776B (en) 2019-04-08 2019-04-08 Data processing method and device

Publications (2)

Publication Number Publication Date
CN111800776A true CN111800776A (en) 2020-10-20
CN111800776B CN111800776B (en) 2022-01-28

Family

ID=72750622

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910276597.5A Active CN111800776B (en) 2019-04-08 2019-04-08 Data processing method and device

Country Status (2)

Country Link
CN (1) CN111800776B (en)
WO (1) WO2020207213A1 (en)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113068173A (en) * 2020-01-02 2021-07-02 中国移动通信有限公司研究院 Data roaming method and equipment
CN114302430A (en) * 2021-12-27 2022-04-08 中国联合网络通信集团有限公司 Data analysis method and device, storage medium and equipment
WO2023045956A1 (en) * 2021-09-24 2023-03-30 维沃移动通信有限公司 Result transmission method and apparatus, communication device, and storage medium
CN116017394A (en) * 2022-12-15 2023-04-25 广州爱浦路网络技术有限公司 Data analysis method and device
WO2023185725A1 (en) * 2022-03-28 2023-10-05 维沃移动通信有限公司 Data acquisition method and apparatus, and network-side device

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101014192A (en) * 2007-02-08 2007-08-08 华为技术有限公司 Service updating method, system and equipment for user entering roaming network
CN101483904A (en) * 2008-01-10 2009-07-15 华为技术有限公司 Network selection method, network element equipment and grid system
CN104219651A (en) * 2013-05-29 2014-12-17 中国电信股份有限公司 Method and system for mobile subscribers to share network services
CN105554851A (en) * 2015-12-22 2016-05-04 努比亚技术有限公司 Quick network searching method and device for mobile terminal
WO2017080623A1 (en) * 2015-11-13 2017-05-18 Telefonaktiebolaget Lm Ericsson (Publ) Visited plmn (vplmn) selection for roaming subscribers
WO2019032968A1 (en) * 2017-08-11 2019-02-14 Convida Wireless, Llc Network data analytics in a communications network

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11444850B2 (en) * 2016-05-02 2022-09-13 Huawei Technologies Co., Ltd. Method and apparatus for communication network quality of service capability exposure
CN108881356B (en) * 2017-05-11 2023-10-24 华为技术有限公司 Method for caching data and session management function device

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101014192A (en) * 2007-02-08 2007-08-08 华为技术有限公司 Service updating method, system and equipment for user entering roaming network
CN101483904A (en) * 2008-01-10 2009-07-15 华为技术有限公司 Network selection method, network element equipment and grid system
CN104219651A (en) * 2013-05-29 2014-12-17 中国电信股份有限公司 Method and system for mobile subscribers to share network services
WO2017080623A1 (en) * 2015-11-13 2017-05-18 Telefonaktiebolaget Lm Ericsson (Publ) Visited plmn (vplmn) selection for roaming subscribers
CN105554851A (en) * 2015-12-22 2016-05-04 努比亚技术有限公司 Quick network searching method and device for mobile terminal
WO2019032968A1 (en) * 2017-08-11 2019-02-14 Convida Wireless, Llc Network data analytics in a communications network

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
3GPP: "Architecture enhancements for 5G System (5GS) to support", 《3GPP TS 23.288 V0.3.0》 *
HUAWEI: "Discussion about 3GPP Rel-17 eNA phase 2", 《3GPP TSG SA WG2 MEETING #132 S2-1903098》 *
黄昭文: "5G网络运维自动化关键技术研究", 《5G网络创新研讨会(2018)论文集》 *

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113068173A (en) * 2020-01-02 2021-07-02 中国移动通信有限公司研究院 Data roaming method and equipment
WO2023045956A1 (en) * 2021-09-24 2023-03-30 维沃移动通信有限公司 Result transmission method and apparatus, communication device, and storage medium
CN114302430A (en) * 2021-12-27 2022-04-08 中国联合网络通信集团有限公司 Data analysis method and device, storage medium and equipment
CN114302430B (en) * 2021-12-27 2023-04-28 中国联合网络通信集团有限公司 Data analysis method, device, storage medium and equipment
WO2023185725A1 (en) * 2022-03-28 2023-10-05 维沃移动通信有限公司 Data acquisition method and apparatus, and network-side device
CN116017394A (en) * 2022-12-15 2023-04-25 广州爱浦路网络技术有限公司 Data analysis method and device

Also Published As

Publication number Publication date
WO2020207213A1 (en) 2020-10-15
CN111800776B (en) 2022-01-28

Similar Documents

Publication Publication Date Title
CN111800776B (en) Data processing method and device
US11950317B2 (en) Roaming data processing method, apparatus, and system
CN109428749B (en) Network management method and related equipment
WO2021017689A1 (en) User plane data acquisition method and apparatus, and storage medium
WO2020259306A1 (en) Network search configuration method, registration method, apparatus, and system
CN110691384B (en) Network slice using method and device
US9210226B2 (en) Method and device for location management of group-based machine type communication MTC device
KR102513998B1 (en) Communication methods and devices, entities and computer readable storage media
EP4087193A1 (en) Data analysis method, apparatus and system
US20220103990A1 (en) Communication Method, Apparatus, and System
CN112512100B (en) Slice priority-based AMF (advanced metering framework) redirection method and newly-added management network element
CN105139641A (en) WiFi relay station-based vehicle scheduling method and system
US20220240173A1 (en) Method and apparatus for managing network slice for terminal device
CN107484211B (en) Method and device for switching access point
CN114531418A (en) Communication method and device
CN113518354A (en) Method, device and system for determining strategy
EP3860171A1 (en) Configuration parameter update method and apparatus
CN114079975A (en) Method and device for shunting service flow
CN107018510B (en) Fallback frequency point configuration method and device
US20220225471A1 (en) Flight Area Management Method for Uncrewed Aerial Vehicle and Related Apparatus
CN114786166A (en) Communication method, device, equipment and computer storage medium
CN109673007B (en) User information acquisition method and device and computer readable storage medium
DE102017113107B4 (en) Information processing method and electronic device
WO2023023895A1 (en) Devices and methods therein for uploading data
CN116806436A (en) Collaboration between mobile network operators of mobile edge computing applications

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant