WO2019062496A1 - 数据分析方法和数据分析装置 - Google Patents

数据分析方法和数据分析装置 Download PDF

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Publication number
WO2019062496A1
WO2019062496A1 PCT/CN2018/104096 CN2018104096W WO2019062496A1 WO 2019062496 A1 WO2019062496 A1 WO 2019062496A1 CN 2018104096 W CN2018104096 W CN 2018104096W WO 2019062496 A1 WO2019062496 A1 WO 2019062496A1
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WIPO (PCT)
Prior art keywords
user plane
plane data
network element
matching condition
service type
Prior art date
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PCT/CN2018/104096
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English (en)
French (fr)
Inventor
崇卫微
辛阳
吴晓波
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华为技术有限公司
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Application filed by 华为技术有限公司 filed Critical 华为技术有限公司
Priority to EP18863359.8A priority Critical patent/EP3678331B1/en
Publication of WO2019062496A1 publication Critical patent/WO2019062496A1/zh
Priority to US16/832,719 priority patent/US11617092B2/en

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
    • H04W16/22—Traffic simulation tools or models
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
    • H04L41/5003—Managing SLA; Interaction between SLA and QoS
    • H04L41/5019—Ensuring fulfilment of SLA
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14—Network analysis or design
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L61/00—Network arrangements, protocols or services for addressing or naming
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L61/00—Network arrangements, protocols or services for addressing or naming
    • H04L61/09—Mapping addresses
    • H04L61/25—Mapping addresses of the same type
    • H04L61/2503—Translation of Internet protocol [IP] addresses
    • H04L61/2521—Translation architectures other than single NAT servers
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/14—Session management
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/08—Configuration management of networks or network elements
    • H04L41/0894—Policy-based network configuration management

Definitions

  • the embodiments of the present application relate to the field of communications, and in particular, to a data analysis method and a data analysis apparatus.
  • NWDA network data analytics
  • the embodiment of the present application provides a data analysis method and a data analysis device, which can implement data analysis by using a data analysis network element in a communication network.
  • a first aspect of the present application provides a data analysis method, including: a user plane data processing network element acquires at least one matching condition from a data analysis network element, wherein each of the at least one matching condition corresponds to at least a service type or at least one execution rule; the user plane data processing network element receives user plane data; the user plane data processing network element acquires a service type associated with the user plane data according to the at least one matching condition or The execution rule associated with the user plane data.
  • the embodiment of the present application implements analyzing data by using a data analysis network element in a communication network.
  • the user plane data processing network element acquires an execution rule of the user plane data association according to the at least one matching condition, including: the user plane data processing network element Determining, from the at least one matching condition, a matching condition that is satisfied by the user plane data; the user plane data processing network element acquiring an execution rule corresponding to a matching condition that is satisfied by the user plane data of the policy control network element; or The user plane data processing network element acquires an execution rule corresponding to a matching condition that is satisfied by the user plane data of the data analysis network element.
  • the user plane data processing network element processes the user plane data according to a service type associated with the user plane data or an execution rule associated with the user plane data.
  • the user plane data processing network element is configured according to the service type or the user plane associated with the user plane data.
  • the data association execution rule processes the user plane data, including: the user plane data processing network element determines that the destination address of the user plane data is an address of the terminal device, and the terminal device is in an idle state; the user plane data
  • the processing network element sends the paging priority information of the terminal device to the session management network element according to the service type associated with the user plane data or the execution rule associated with the user plane data.
  • the user plane data processing network element is configured according to the service type or the user plane associated with the user plane data.
  • the data association execution rule processing the user plane data including: the user plane data processing network element forwarding the user plane data according to the service priority information indicated in the execution rule associated with the user plane data; or The user plane data processing network element adds the label information of the service type to the user plane data according to the service type associated with the user plane data or the execution rule associated with the user plane data; or the user plane data processing network element is configured according to The service type associated with the user plane data or the execution rule associated with the user plane data adds scheduling priority information to the user plane data; or the service associated with the user plane data processing network element according to the user plane data
  • the type or the policy and charging rule associated with the user plane data performs charging statistics on the user plane data.
  • the user plane data processing network element acquires the service type associated with the user plane data according to the at least one matching condition, including: the user plane data processing network element Determining, from the at least one matching condition, a matching condition that the user plane data meets; the user plane data processing network element acquiring service type information corresponding to a matching condition that is satisfied by the user plane data of the data analysis network element The user plane data processing network element acquires the service type associated with the user plane data according to the service type information.
  • each of the at least one matching condition includes a condition that the at least one matching feature and the at least one matching feature meet; the user plane data processing network element Determining, from the at least one matching condition, a matching condition that the user plane data satisfies, comprising: the user plane data processing network element determining that the user plane data has all or part of matching characteristics of a matching condition and conforms to the all Or partially matching the conditions that the feature satisfies.
  • the user plane data processing network element determines, from the at least one matching condition, a matching condition that the user plane data satisfies, including: the user plane data processing network Obtaining a partial matching feature corresponding to the user plane data; the user plane data processing network element selects a partial matching condition from the at least one matching condition according to the partial matching feature; the user plane data processing network element is configured according to the The selected partial matching condition determines a matching condition that the user plane data satisfies.
  • the partial matching feature corresponding to the user plane data includes Internet Protocol IP quintuple information; the user plane data processing network element selects a partial matching condition from the at least one matching condition according to the partial matching feature, including: The user plane data processing network element selects, from the at least one matching condition, a matching condition that the IP quintuple information is consistent with the IP quintuple information of the user plane data.
  • a second aspect of the present application provides a data analysis method, including: a data analysis network element acquiring at least one matching condition, wherein each of the at least one matching condition corresponds to at least one service type or at least one Executing a rule; the data analysis network element sends the at least one matching condition to the user plane data processing network element.
  • the data analysis network element acquires at least one matching condition, including: the data analysis network element receives a partial matching feature from a policy control network element; and the data analysis network And selecting, according to the partial matching feature, the at least one matching condition from the pre-acquired matching conditions.
  • the part matching feature includes a data network name and/or a user plane data processing network element corresponding to the data network
  • the data analysis network element selects the at least one matching condition from the pre-acquired matching conditions according to the partial matching feature, where the data analysis network element selects from the pre-acquired matching conditions.
  • a matching condition that is consistent with the data network name and/or the identification information of the user plane data processing network element corresponding to the data network.
  • the method further includes: the data analysis network element transmitting, by the policy control network element or the user plane data processing network element, the service corresponding to the at least one matching condition Type information.
  • the method further includes: the data analysis network element transmitting the at least one matching condition to the policy control network element or the user plane data processing network element Execution rules.
  • the method further includes: the data analysis network element acquiring training data corresponding to the at least one service type; and the data analysis network element acquiring the at least one matching condition
  • the method includes: the data analysis network element acquiring the at least one matching condition according to the training data.
  • a third aspect of the present application provides a data analysis method, including: a policy control network element acquiring at least one matching condition from a data analysis network element, wherein each of the at least one matching condition corresponds to at least one a service type or at least one execution rule; the policy control network element transmitting at least a partial matching condition of the at least one matching condition to the user plane data processing network element.
  • the method further includes: the policy control network element selecting the at least partial matching condition from the at least one matching condition according to a partial matching feature.
  • the part matching feature includes a data network name and/or a user plane data processing network element corresponding to the data network
  • the policy control network element selects the partial matching condition from the at least one matching condition according to the partial matching feature, where the policy control network element selects and selects from the at least one matching condition
  • the data network name and/or the matching condition that the identification information of the user plane data processing network element corresponding to the data network is consistent.
  • the method further includes: the policy control network element transmitting the service type information corresponding to the at least part of the matching condition to the user plane data processing network element.
  • the method further includes: the policy control network element transmitting, to the user plane data processing network element, an execution rule corresponding to the at least part of the matching condition.
  • the method further includes: the policy control network element acquiring service type information corresponding to the at least partial matching condition from the data analysis network element; The control network element generates an execution rule corresponding to the at least part of the matching condition according to the acquired service type information; the policy control network element sends the execution rule corresponding to the at least part of the matching condition to the user plane data processing network element.
  • a fourth aspect of the present invention provides a data analysis method, including: a user plane data processing network element acquires a matching condition from a data analysis network element, where the matching condition corresponds to a service type or an execution rule; The user plane data processing network element receives the user plane data; the user plane data processing network element acquires the service type associated with the user plane data or the execution rule associated with the user plane data according to the matching condition.
  • a fifth aspect of the present invention provides a data analysis method, including: a data analysis network element acquiring a matching condition, wherein the matching condition corresponds to a service type or an execution rule; and the data analysis network element is to the user The data processing network element sends the matching condition.
  • a sixth aspect of the present invention provides a data analysis method, including: a policy control network element acquiring a matching condition from a data analysis network element, where the matching condition corresponds to a service type or an execution rule; The control network element sends the matching condition to the user plane data processing network element.
  • a seventh aspect of the present invention provides a data analysis apparatus, including: a transceiver unit, configured to acquire at least one matching condition from a data analysis network element and receive user plane data, wherein each of the at least one matching condition The matching condition corresponds to at least one service type or at least one execution rule; the processing unit is configured to acquire, according to the at least one matching condition, a service type associated with the user plane data or an execution rule associated with the user plane data.
  • An eighth aspect of the present invention provides a data analysis apparatus, including: a processing unit, configured to acquire at least one matching condition, wherein each of the at least one matching condition corresponds to at least one service type or at least one
  • the execution unit is configured to send the at least one matching condition to the user plane data processing network element.
  • a ninth aspect of the present application provides a data analysis apparatus, including a processing unit and a transceiver unit, the processing unit configured to acquire, by the transceiver unit, at least one matching condition from a data analysis network element, wherein the at least one Each of the matching conditions corresponds to at least one service type or at least one execution rule; the processing unit is further configured to send, by the transceiver unit, at least one of the at least one matching condition to the user plane data processing network element Partial matching conditions.
  • a tenth aspect of the present application provides an apparatus for data analysis, comprising: a storage unit configured to store computer instructions; and a processing unit configured to perform the first to sixth aspects according to computer instructions stored in the storage unit Aspects and any of a variety of possible implementations.
  • a computer storage medium stores instructions that, when run on a computer, cause the computer to perform the first to sixth aspects and various Any of the possible implementations.
  • a computer program product comprising instructions which, when run on a computer, cause the computer to perform any of the first to sixth aspects and various possible implementations described above method.
  • FIG. 1 is a schematic diagram of a communication system implementing an embodiment of the present application.
  • FIG. 2 is a schematic flowchart of a data analysis method according to a first embodiment of the present application.
  • FIG. 3 is a schematic flowchart of a data analysis method according to a second embodiment of the present application.
  • FIG. 4 is a schematic flowchart of a data analysis method according to a third embodiment of the present application.
  • FIG. 5 is a schematic diagram of a data analysis apparatus according to an embodiment of the present application.
  • the embodiments of the present application can be used for long term evolution (LTE), 5G or next generation networks, fixed networks, home base station networks, or mobile networks that are not accessed by 3GPP (such as wifi).
  • LTE long term evolution
  • 5G next generation networks
  • fixed networks fixed networks
  • home base station networks or mobile networks that are not accessed by 3GPP (such as wifi).
  • 3GPP such as wifi
  • an example is applied to a 5G network.
  • the embodiments of the present application can be used in a global system for mobile communications (GSM), a wideband code division multiple access (WCDMA), a long term evolution (LTE), a 5G Or a next-generation network, a fixed network, a home base station network, a mobile network that is not accessed by 3GPP (such as wifi), and the like.
  • GSM global system for mobile communications
  • WCDMA wideband code division multiple access
  • LTE long term evolution
  • 5G Or a next-generation network a fixed network
  • 3GPP such as wifi
  • an example is applied to a 5G network.
  • FIG. 1 is a schematic diagram of a communication system capable of implementing an embodiment of the present application.
  • the terminal device 101 accesses the core network through an access network (AN) device 102.
  • AN access network
  • the terminal device 101 includes but is not limited to: user equipment (UE), user unit, user station, mobile station, mobile station, remote station, remote terminal device, mobile terminal device, user terminal device, terminal device, Wireless communication device, user agent, user device, cellular phone, cordless phone, session initiation protocol (SIP) phone, wireless local loop (WLL) station, personal digital assistant (PDA) ), handheld devices with wireless communication capabilities, computing devices, processing devices connected to wireless modems, in-vehicle devices, wearable devices, terminal devices in the Internet of Things, home appliances, virtual reality devices, terminal devices in future 5G networks
  • PLMN public land mobile network
  • Access network device 102 can be a device that communicates with terminal device 101.
  • the access network device can provide communication coverage for a particular geographic area and can communicate with terminal devices located within the coverage area (cell).
  • Access network device 102 can communicate with any number of terminal devices.
  • the access network device can support different standard communication protocols or can support different communication modes.
  • the access network device 102 is an evolved base station (eNodeB), or a wireless fidelity access point (WiFi AP), or a global microwave access interoperability base station ( Worldwide interoperability for microwave access base station (WiMAX BS), or a wireless controller in a cloud radio access network (CRAN), or the network device may be an access network device or a future in a future 5G network An access network device or the like in an evolved PLMN.
  • eNodeB evolved base station
  • WiFi AP wireless fidelity access point
  • WiMAX BS global microwave access interoperability base station
  • CDRF cloud radio access network
  • the network device may be an access network device or a future in a future 5G network
  • the core network may include: a control plane function (CPF) network element, a user plane function (UPF) network element 103, a policy control function (PCF) network element 104, and network data analysis ( Network data analytics, NWDA) Network element 105.
  • the control plane function network element may include an access management function (AMF) network element 106 and a session management function (SMF) network element 107.
  • the user plane data transmission between the terminal device 101 and the data network (DN) 108 can be implemented by the access network device 102 and the user plane function network element 103.
  • the PCF network element 104 has the function of policy control decision making to provide a policy for the network.
  • the NWDA network element 105 is used for big data learning and analysis.
  • the AMF network element 106 is used for mobility management, lawful interception, access authorization, authentication, and the like.
  • the SMF network element 107 is used to implement session and bearer management, IP address allocation, and the like.
  • the DN 108 is a network for transmitting data.
  • the DN 108 may be an internet protocol (IP) multimedia subsystem (IMS) server or a packet data network (PDN) or an application server (application server, App server).
  • IP internet protocol
  • IMS internet protocol multimedia subsystem
  • PDN packet data network
  • App server application server
  • a network element obtains information from another network element (for example, a B network element), and may refer to that the A network element directly receives information from the B network element, or may The A network element receives information from the B network element through other network elements (for example, the C network element).
  • the C network element can transparently transmit information, and can also process the information, for example, carrying the information in different messages for transmission or filtering the information. Only the filtered information is sent to the A network element.
  • the A network element sends information to the B network element, which may be that the A network element directly sends information to the B network element, and may also refer to the A network element passing through other network elements (for example, the C network. Meta) sends information to the B network element.
  • the B network element may be that the A network element directly sends information to the B network element, and may also refer to the A network element passing through other network elements (for example, the C network. Meta) sends information to the B network element.
  • FIG. 2 is a schematic flowchart of a data analysis method according to a first embodiment of the present application.
  • the data analysis method includes:
  • Step 201 The data analysis network element acquires training data.
  • the data analysis network element may be the NWDA network element in FIG.
  • the data analysis network element may also be another network element having a network data analysis function, which is not limited herein.
  • the data analysis network element can obtain training data from other network elements respectively, and the data analysis network element can also obtain training data from the same network element set.
  • other network elements may be telecommunication network devices or third-party servers.
  • the telecommunication network device may be at least one of the following devices: a terminal device, an access network device, a control plane function network element (for example, an AMF network element or an SMF network element), a UPF network element, a PCF network element, and a network management.
  • a network element for example, a business support system (BSS) or an operation support system (OSS) or a management support system (MSS)
  • UDM unified data management
  • Yuan and IMS network elements may be at least one of an App Server, an OTT (over the top) server, and a vertical industry control center.
  • the data analysis network element can directly obtain training data by performing data interaction with other network elements.
  • the data analysis network element can also obtain training data indirectly through other network elements.
  • the data analysis network element obtains data from a third-party server through a network exposure function (NEF) network element.
  • NEF network exposure function
  • the data analysis network element can obtain training data from other network elements in real time, and the data analysis network element can also obtain training data when the data analysis network element and/or other network elements are idle.
  • the training data acquired by the data analysis network element may be original data.
  • the training data obtained by the data analysis network element may also be the data preprocessed by other network elements.
  • the application server cleans sensitive information in the original data for the purpose of protecting user privacy, and sends the processed data to the data analysis network element.
  • the training data acquired by the data analysis network element may be network data, such as an address of a terminal device, a cell identifier (cell ID), time information, a network congestion status, and the like.
  • the training data obtained by the data analysis network element may also be application data, such as: IP quintuple, user plane data size, user plane data interval, service type, service experience, extension field, and the like.
  • the data analysis network element may also associate the acquired application data with the network data to obtain the associated training data. For example, the data analysis network element associates the application data with the network data according to the address and/or time information of the terminal device.
  • the address of the terminal device can be an IP address or an Ethernet address.
  • the data analysis network element can obtain the training data by using the service type as the granularity. For example, the data analysis network element obtains training data of the payment service and training data based on the voice over long term evolution (VOLTE) service, respectively.
  • VOLTE voice over long term evolution
  • the data analysis network element can also obtain the training data by using the network element as the granularity.
  • the training data acquired from the terminal device may include: a terminal type, an address of the terminal device, an operating system version, a temperature of the terminal device, a power quantity of the terminal device, a cell wireless channel quality measured by the terminal device, and the like; and is obtained from the session management network element.
  • the training data may include: an identifier (ID) of the session management network element, an address of the terminal device, a data network name (DNN), etc.;
  • the training data obtained from the user plane function network element may include: a user plane The function network element ID, the tunnel end point identifier (TEID), the congestion level, the IP quintuple, the user plane data size, the number of user plane data, and the like;
  • the training data obtained from the access network device may include: a cell Cell, quality of service (Qos) parameters, real-time wireless channel quality (eg, reference signal receiving power (RSRP), reference singular received quality (RSRQ), signal Signal to interference plus noise ratio (SINR), business cut Change threshold, filter coefficient, antenna tilt, carrier frequency, carrier, packet loss rate, guaranteed bit rate (GBR), maximum bit rate (MBR), congestion level, etc.; obtained from a third-party server
  • the training data may include: an IP quintuple, a start time, an end time, a service type, and the like
  • user plane data is used as a data packet for illustration.
  • Step 202 The data analysis network element analyzes the training data to obtain a matching condition.
  • the data analysis network element analyzes the training data obtained in step 201 by using a big data analysis method to obtain at least one matching condition.
  • the matching condition of the at least one matching condition corresponds to at least one service type or at least one execution rule.
  • the execution rule may be at least one of an enforcement policy, a control policy, a charging policy, and a policy & charging control (PCC) rule.
  • PCC rules can include quality of service policies.
  • the data analysis network element separately analyzes the training data of various service types to obtain matching conditions corresponding to each service type.
  • a service type can uniquely correspond to a matching condition; a service type can also correspond to multiple matching conditions; a matching condition can uniquely correspond to one service type, and one matching condition can also correspond to multiple service types.
  • the corresponding service type may be determined by using other conditions or features other than the matching condition, which is not limited herein.
  • the data analysis network element determines an execution rule of the service type according to the service type corresponding to the matching condition, that is, an execution rule corresponding to the matching condition.
  • the data analysis network element may also determine an execution rule corresponding to the matching condition according to the feature in the matching condition. For example, the data analysis network element may determine an execution rule corresponding to the matching condition according to characteristics such as radio channel quality, congestion level, packet loss rate, and handover threshold in the matching condition.
  • the data analysis network element may also determine, according to the training data, characteristics related to execution rules (eg, radio channel quality, congestion level, packet loss rate, handover threshold, etc.), and then send the feature related to the execution rule to the policy control network element, The policy controls the network element to determine an execution rule.
  • Each matching condition includes at least one matching feature and a condition that the at least one matching feature satisfies.
  • each matching condition may further include a feature index corresponding to the matching feature.
  • the condition that the matching feature satisfies may be the value or the range of the matching feature, and the condition that the matching feature satisfies may also be the specific content of the matching feature, for example, the specific name of the data network.
  • the value of the matching feature or the range of values may be the actual value or range of the feature, or the value or range of values of the actual value or range of the feature, such as normalized.
  • a matching condition includes a plurality of matching features
  • the plurality of matching features may be embodied in the form of a feature list, and the matching condition may be embodied in the form of a table.
  • the matching features between the matching conditions may be partially the same or completely different.
  • the matching condition may also include the service type information corresponding to the matching condition, for example, adding a row or a column in the feature list to indicate the service type corresponding to the matching condition.
  • the matching rule may further include execution rule information corresponding to the matching condition, for example, adding a row or a column in the feature list to indicate execution rule information corresponding to the matching condition.
  • the execution rule information may be a specific execution rule, or may be a feature related to the execution rule, or may be a number of the execution rule.
  • the data analysis network element can obtain matching characteristics of the service granularity. For example, if the size of the data packet corresponding to the training data of a certain service is a certain value or belongs to a specific range, the data analysis network element can use the size of the data packet as a matching feature of the service. For another example, if the data packet corresponding to the training data of a certain service is from a certain or some specific data network, the data analysis network element may use the data network name as another matching feature of the service.
  • the data analysis network element can obtain the matching feature of the terminal device granularity. For example, the packet characteristics of a certain service corresponding to terminal devices produced by different vendors may be different. When the service of different terminal devices is to be distinguished, the data analysis network element may use the type of the terminal device as a matching feature of the service. Optionally, the data analysis network element can distinguish the type of the terminal device according to the Type Allocation Code (TAC) in the International Mobile Equipment Identity (IMEI). Therefore, the data analysis network element can use the terminal.
  • TAC Type Allocation Code
  • IMEI International Mobile Equipment Identity
  • the IMEI of the device acts as a matching feature.
  • the packet characteristics of a certain service corresponding to the terminal devices of different operating systems may be different. Therefore, the data analysis network element can also use the type of the operating system of the terminal device as a matching feature of the service.
  • the data analysis network element can also obtain matching characteristics of the user granularity. For example, if a user is a merchant user, the terminal device held by the user performs a certain service for a long time at a fixed location. Therefore, the data analysis network element can use the location information of the terminal device as a matching feature of the service.
  • the data analysis network element may obtain public network address information and port number information of the terminal device from the application server. The data analysis network element can then query the network address translation (NAT) network element for the intranet address information corresponding to the public network. The data analysis network element acquires user identification information, location information, and the like corresponding to the intranet address information from the network management.
  • NAT network address translation
  • the data analysis network element may use the big data analysis method in the prior art to obtain the matching feature, which is not limited herein.
  • Table 1 is an illustration of a matching condition provided in the embodiment of the present application.
  • the matching condition includes a matching feature, a condition that the matching feature satisfies, and a feature index corresponding to each matching feature.
  • Step 203 The data analysis network element sends at least one matching condition to the policy control network element.
  • the policy control network element may be the PCF network element in FIG. 1 or other network elements having the policy control function, which is not limited herein.
  • the data analysis network element may send multiple matching conditions corresponding to multiple service types to the policy control network element in the same message, and the data analysis network element may separately send multiple matching conditions corresponding to multiple service types to the policy control.
  • Network element The data analysis network element may actively send a matching condition to the policy control network element, and the data analysis network element may also send a matching condition according to the policy control network element request.
  • the data analysis network element may send a matching condition to the policy control network element in real time, or may send a matching condition to the policy control network element when the network is idle, which is not limited herein.
  • the data analysis network element may select a partial matching condition from the matching conditions pre-acquired in step 202 according to the partial matching feature. Then, the selected partial matching condition is sent to the policy control network element as the at least one matching condition.
  • the partial matching feature may be a matching feature in the matching condition, or may be a feature that is not in the matching condition but is associated with the matching condition.
  • the partial matching feature may be a data network name (DNN) and/or identification information of a UPF network element corresponding to the data network.
  • the data analysis network element may receive a message from the session management network element, where the message includes identification information of the DNN and/or the UPF network element.
  • the data analysis network element selects a matching condition that is consistent with the identification information of the DNN and/or the UPF network element from the pre-acquired matching conditions and sends the matching condition to the policy control network element, so that the data throughput of the network can be further reduced.
  • the data analysis network element may send the service type information corresponding to the at least one matching condition to the policy control network element.
  • the service type information may be the service type corresponding to the matching condition, and the service type information may also be the indication information of the service type corresponding to the matching condition, for example, the service type or the number corresponding to the matching condition.
  • the service type information may be sent to the policy control network element in the corresponding matching condition, and the service type information may also be separately sent to the policy control network element.
  • the data analysis network element may further send execution rule information corresponding to the matching condition to the policy control network element.
  • the execution rule information may be a specific execution rule, or may be information related to the execution rule, for example, information of a feature related to the execution rule in step 203.
  • Step 204 The policy control network element receives at least one matching condition sent by the data analysis network element.
  • the policy control network element sends at least a partial matching condition of the at least one matching condition to the user plane data processing network element.
  • the user plane data processing network element may be the user plane function network element in FIG. 1, or may be an access network device, or may be another network element having a user plane data processing function.
  • the policy control network element may send the at least partial matching condition to the user plane data processing network element by using the session management network element.
  • the policy control network element may select a partial matching condition from the received at least one matching condition according to the partial matching feature.
  • the partial matching feature may be a matching feature in the matching condition, or may be a feature that is not in the matching condition but is associated with the matching condition.
  • the policy control network element receives a partial matching feature from the session management network element.
  • the part of the feature may be the identification information of the DNF and/or the UPF network element corresponding to the data network.
  • the policy control network element selects, from the received at least one matching condition, a matching condition that is consistent with the identifier information of the DNN and/or the UPF network element, and sends the matching condition to the user plane data processing network element as a partial matching condition.
  • the policy control network element can receive service type information from the data analysis network element.
  • the service type information may be the service type corresponding to the matching condition, and the service type information may also be the indication information of the service type corresponding to the matching condition, for example, the service type or the number corresponding to the matching condition.
  • the policy control network element may receive the service type information and the corresponding matching condition in the same message, and the policy control network element may separately receive the service type information and the corresponding matching condition.
  • the policy control network element may also receive the service type information from the data analysis network element, and the policy control network element may analyze and obtain the service type corresponding to the matching condition according to some characteristics in the matching condition. For example, the service type corresponding to the matching condition is determined according to the IP quintuple information.
  • the policy control network element may send, to the user plane processing network element, the service type information corresponding to the at least part of the matching condition.
  • the service type information may be sent in the same message as the at least part of the matching condition, or may be sent separately from the at least part of the matching condition, which is not limited herein.
  • the policy control network element may generate an execution rule for the corresponding service type according to the obtained service type information.
  • the policy control network element may also receive an execution rule corresponding to the service type from the data analysis network element.
  • the policy control network element may further receive an execution rule related feature from the data analysis network element, and then determine an execution rule corresponding to the matching condition according to the received feature, for example, the policy control network element may be based on the wireless channel quality, the congestion level, and the lost The packet rate, the switching threshold, and the like determine the execution rule corresponding to the matching condition.
  • the policy control network element may send the execution rule corresponding to the at least part of the matching condition to the user plane processing network element.
  • the execution rule may be sent together with the at least part of the matching condition and the service type information, or may be sent separately from the at least part of the matching condition and the service type information, which is not limited herein.
  • Step 205 The user plane data processing network element receives at least part of the matching conditions from the at least one matching condition of the policy control.
  • the user plane data processing network element may store the received matching condition.
  • the user plane data processing network element may match. Matching features that cannot be directly obtained in the condition are converted into matching features that can be directly obtained.
  • the data packet received by the user plane data processing network element must include user identification information. If the matching feature in the matching condition includes the user identification information, the user plane data processing network element can query the IP address pool, obtain the IP address corresponding to the user identification information, and then associate the IP address with the user identification information. Therefore, the user plane data processing network element can match the IP address in the received data packet with the IP address in the matching condition.
  • the user plane data processing network element may receive service type information from the policy control network element, where the service type information corresponds to a matching condition received by the user plane data processing network element.
  • service type information corresponds to a matching condition received by the user plane data processing network element.
  • the user plane data processing network element may also receive an execution rule from the policy control network element, where the execution rule corresponds to a matching condition received by the user plane data processing network element.
  • the execution rule corresponds to a matching condition received by the user plane data processing network element.
  • Steps 203 and 204 are optional steps.
  • the data analysis network element also sends at least one matching condition, the service type information corresponding to the matching condition, and the execution rule corresponding to the matching condition to the user plane data processing network element through the service management interface. At least one of the information.
  • Step 206 The user plane data processing network element receives the user plane data, and obtains the service type associated with the user plane data and/or the execution rule associated with the user plane data according to the matching condition received in step 205.
  • the user plane data processing network element After receiving the user plane data, the user plane data processing network element determines a matching condition that can be matched from the received matching conditions. Then, according to the service type information or the execution rule information corresponding to the matching condition, the service type associated with the user plane data or the execution rule associated with the user plane data is obtained. The user plane data processing network element may determine the service type or the execution rule corresponding to the matching condition as the service type associated with the user plane data or the execution rule associated with the user plane data. In the embodiment of the present application, the matching condition is matched to determine whether the user plane data has matching characteristics in the matching condition and whether the conditions satisfying the matching feature are met.
  • the user plane data processing network element may obtain the execution rule corresponding to the user plane data according to the service type of the user plane data; or the user plane data processing network element performs the execution rule according to the matching condition from the policy control network element or the data analysis network element.
  • the information determines the execution rules of the user plane data.
  • the received user plane data may be sequentially matched with each matching condition to determine a matching condition that the user plane data can match.
  • the partial matching condition may be selected from the received matching conditions according to the partial matching feature. Then, the received user plane data is matched with the selected partial matching condition.
  • the partial matching feature may be an IP address and/or a port number, and the user plane data processing network element selects an IP address and/or a port number from the received matching condition to be consistent with the IP address and/or port number corresponding to the user plane data. Matching conditions.
  • the user plane data processing network element may sequentially match the matching features in the matching condition.
  • the user plane data processing network element may also first match the partial matching features in the matching condition, and then match the remaining matching features. For example, if the matching feature included in the matching condition is packet size, interval, entropy, IP address, port number, etc., the user plane data processing network element may first determine the IP address and port number in the IP quintuple of the user plane data. Whether the IP address and the port number in the matching feature are consistent. If they match, the remaining other features are matched. If they are inconsistent, the matching of the matching condition is ended.
  • the user plane data processing network element may acquire the feature from other network elements. For example, if the matching condition includes the location information of the terminal device, the user plane data processing network element obtains the location information of the terminal device from the access network device. Specifically, the user plane data processing network element may request the access network device to send the location information of the terminal device, and the user plane data processing network element may also subscribe to the location information of the terminal device to the access network device, which is not limited herein.
  • Step 207 The user plane data processing network element processes the user plane data according to the service type associated with the user plane data and/or the execution rule associated with the user plane data.
  • the user plane data processing network element processes the user plane data according to the service type associated with the user plane data. For example, the user plane data processing network element adds the label information of the service type to the user plane data; or the user plane data processing network element forwards the user plane data according to the service priority information; or the user plane data processing network element is the user plane data. Adding the scheduling priority information; or the user plane data processing network element determines that the destination IP address of the user plane data is the address of the terminal device and the terminal device is in an idle state, and the user plane data processing network element sends the terminal device to the session management network element. The paging priority information is used; or the user plane data processing network element performs charging statistics on the user plane data according to the service type associated with the user plane data.
  • the user plane data processing network element processes the user plane data according to the obtained execution rule. For example, the user plane data processing network element forwards the user plane data according to the service priority information indicated in the execution rule; or the user plane data processing network element adds the label information of the service type to the user plane data according to the execution rule; or, the user plane data The processing network element adds scheduling priority information to the user plane data according to the execution rule; or the user plane data processing network element determines that the destination IP address of the user plane data is the address of the terminal device and the terminal device is in an idle state, and the user plane data processing network element The paging priority information of the terminal device is sent to the session management network element according to the execution rule; or the user plane data processing network element performs charging statistics on the user plane data according to the execution rule associated with the user plane data.
  • the user plane data processing network element acquires at least one matching condition from the data analysis network element.
  • the user plane data processing network element acquires the service type associated with the user plane data or the execution rule associated with the user plane data according to the received matching condition, thereby implementing data analysis using the data analysis network element in the communication network.
  • the big data analysis method is used to obtain the service type or execution rule associated with the user plane data, and the deep packet inspection (DPI) of the user plane data is not required, and the method in this embodiment is simpler.
  • FIG. 3 is a schematic flowchart of a data analysis method according to a second embodiment of the present application.
  • the data analysis network element is an NWDA network element
  • the user plane data processing network element is a UPF network element
  • the third party server is an OTT server.
  • the NWDA network element sends a matching condition to the UPF through the PDU session establishment/modification process initiated by the UE.
  • the same portions of the present embodiment as the second embodiment can be referred to the description of the second embodiment.
  • the data analysis method of this embodiment includes:
  • Step 301 The NWDA network element acquires training data from other network elements.
  • step 201 For the manner in which the NWDA network element obtains the training data, refer to step 201, which is not described here.
  • Step 302 The NWDA network element analyzes the training data to obtain a matching condition.
  • step 202 For details, refer to step 202, which is not described here.
  • Step 303 The terminal device requests the SMF network element to initiate a PDU session establishment/modification process via the AMF network element.
  • step refer to the process of the terminal device initiating a PDU session establishment/modification request in the prior art.
  • Step 304 The SMF network element sends a request message to the PCF network element for requesting an execution rule related to the PDU session.
  • the execution rule related to the PDU session may be at least one of an execution policy, a control policy, a charging policy, and a policy and charging control.
  • step refer to the PDU connectivity access network (PDU-CAN) session establishment/modification procedure initiated by the SMF in the prior art.
  • PDU-CAN PDU connectivity access network
  • the request message includes a name of a data network (DNN) where the service requested by the terminal device is located, and/or a user plane function identifier (UPF ID) associated with the data network.
  • DNN data network
  • UPF ID user plane function identifier
  • Step 305 The PCF network element sends a request message to the NWDA network element for requesting a matching condition.
  • the matching condition of the request is a matching condition corresponding to the service type requested by the terminal device.
  • the request message includes a name of the data network where the service requested by the terminal device is located, and/or a user plane function identifier associated with the data network, that is, the DNN and/or the UPF ID received by the PCF network element in step 304.
  • Step 306 After receiving the request message sent by the PCF network element, the NWDA network element selects a matching condition that is consistent with the received DNN and/or UPF ID from the matching conditions obtained in step 302.
  • the matching features in the matching condition include a DNN and/or a UPF ID.
  • the matching feature in the matching condition does not include the DNN and/or the UPF ID, but the DNN and/or UPF ID are associated with the matching condition.
  • the DNN is not included in the matching condition below, but the DNN is associated with the matching condition for illustration.
  • the matching condition obtained in step 302 and the DNN associated with the matching condition are as shown in Table 2.
  • DNN1 Matching condition 1 DNN1 Matching condition 2
  • DNN2 Matching condition 3 DNN2 Matching condition 4
  • DNN2 Matching condition 5 DNN3 Matching condition 6
  • the NWDA network element receives the request message sent by the PCF network element, and according to the DNN1 and the NWDA network element carried in the request message, the matching condition 1 to the matching condition 6 Match condition 1 and match condition 2 associated with DNN1 are selected.
  • the matching condition 3 to the matching condition 6 are not related to the service sent by the terminal device, so the NWDA network element does not need to send the matching condition 3 to the matching condition 6 to the PCF network element, thereby reducing the data throughput between the network elements.
  • Step 306 is an optional step. After receiving the request message sent by the PCF network element, the NWDA network element may directly perform step 307 without performing step 306.
  • Step 307 The NWDA network element sends a matching condition to the PCF network element.
  • the NWDA network element When the NWDA network element performs step 306, the NWDA network element sends the matching condition of the NWDA network element selection in step 306 to the PCF network element.
  • the NWDA network element does not perform step 306, the NWDA network element sends a preset matching condition.
  • the preset matching condition may be all matching conditions acquired by the NWDA network element, or may be a matching condition determined by the NWDA network element according to the current network condition.
  • the NWDA network element For the manner in which the NWDA network element sends the matching condition to the PCF network element, refer to the description of step 203.
  • the NWDA network element may also send the service type information corresponding to the matching condition to the PCF network element.
  • the NWDA network element may also send an execution rule policy corresponding to the matching condition to the PCF network element. For details, refer to step 203.
  • the NWDA network element may also send a feature associated with the matching condition to the PCF network element, for example, the DNN in Table 2.
  • the NWDA network element sends a response message of the request message in step 305 to the PCF network element, where the response message includes the content sent by the NWDA network element to the PCF network element.
  • Step 308 The PCF network element generates an execution rule according to the service type information.
  • the PCF network element generates an execution rule (for example, a quality of service policy) corresponding to the service type according to the received service type information (for example, a service type).
  • an execution rule for example, a quality of service policy
  • the PCF network element may further select an execution rule from the generated execution rule and the execution rule received from the NWDA network element.
  • Step 309 The PCF network element sends a matching condition to the SMF network element.
  • the matching condition sent by the PCF network element to the SMF network element may be a matching condition received by the PCF network element from the NWDA network element.
  • the matching condition sent by the PCF network element to the SMF network element may also be a matching condition corresponding to the service type requested by the terminal device.
  • the PCF network element further sends a feature associated with the matching condition to the SMF network element.
  • the PCF network element also sends an execution rule corresponding to the matching condition to the SMF network element, for example, a policy control and charging (PCC) rule.
  • the execution rule may be generated by a PCF network element or received by a PCF network element from an NWDA network element.
  • the PCF network element further sends the service type information corresponding to the matching condition to the SMF network element.
  • PCC policy control and charging
  • the PCF network element sends a response message of the request message in step 304 to the SMF network element, where the response message includes the content sent by the PCF network element to the SMF network element.
  • the response message can be referred to the PDU-CAN session establishment/modification procedure in the prior art.
  • Step 310 The SMF network element sends a matching condition to the UPF network element.
  • the SMF network element sends a matching condition to the UPF network element, which may be a matching condition received by the SMF network element.
  • the SMF network element sends a feature associated with the matching condition to the UPF network element.
  • the SMF network element may also send the service type information corresponding to the execution rule and/or the matching condition corresponding to the matching condition to the UPF network element.
  • the SMF network element in a process of session establishment/modification initiated by the SMF network element to the UPF network element, the SMF network element sends a matching condition to the UPF network element.
  • Step 311 The UPF network element receives the user plane data, and obtains the service type associated with the user plane data and/or the execution rule associated with the user plane data according to the received matching feature.
  • the UPF network element After the UPF network element receives the matching condition from the NWDA network element, if the UPF network element receives the user plane data: for example, the data packet, the UPF network element can match the received user plane data with the matching condition to obtain the For the service type or execution rule associated with the user plane data, refer to step 206.
  • Step 312 The user plane data processing network element processes the user plane data according to the service type associated with the user plane data and/or the execution rule associated with the user plane data.
  • step 207 For details, refer to step 207, which is not described here.
  • FIG. 4 is a schematic flowchart of a data analysis method according to a third embodiment of the present application.
  • the data analysis method in this embodiment is similar to the data analysis method in the second embodiment, and the same portions can be referred to the description of the second embodiment.
  • the data analysis method of this embodiment includes:
  • Steps 401-402 For details, refer to the description of steps 301-302.
  • Step 403 The NWDA network element sends a matching condition to the PCF network element.
  • the matching condition may be a matching condition obtained by the NWDA network element according to the training data in step 402.
  • Steps 404-405 For details, refer to the description of steps 303-304.
  • Step 406 After receiving the request message sent by the SMF, the PCF network element selects a matching condition that is consistent with the DNN and/or the UPF ID from the matching conditions received in step 403. For the selection of the matching condition of the PCF network element, refer to the method for selecting the matching condition by the NWDA network element in step 306.
  • step 407 can be directly performed.
  • Step 407 The PCF network element generates an execution rule according to the service type information.
  • Step 408 The PCF network element sends a matching jump to the SMF network element.
  • the PCF network element when the PCF network element performs step 406, the PCF network element sends the matching condition selected by the PCF network element in step 406 to the SMF network element.
  • the PCF network element does not perform step 406, the PCF network element sends a preset matching condition to the SMF network element.
  • the preset matching condition may be all matching conditions that the PCF network element receives from the NWDA network element, or may be a matching condition determined by the PCF network element according to the current network condition.
  • the matching condition sent by the PCF network element to the SMF network element may also be a matching condition corresponding to the service type requested by the terminal device.
  • the PCF network element may also send a feature associated with the matching condition to the SMF network element, for example, the DNN in Table 2.
  • the PCF network element may also send an execution rule and/or service type indication information corresponding to the matching condition to the SMF network element.
  • the execution rule may be generated by a PCF network element or received by a PCF network element from an NWDA network element.
  • the PCF network element sends a response message of the request message in step 405 to the SMF network element, where the response message includes the content sent by the PCF network element to the SMF network element.
  • Steps 409-411 For details, refer to the description of steps 310-312.
  • the NWDA network element sends a matching condition to the UPF network element through the PDU session establishment/modification process initiated by the UE, and the NWDA network element can also establish the service of the terminal device through the network device.
  • the process of the Qos flow sends a matching condition, and the description is similar to the methods in the second embodiment and the third embodiment, and will not be described here.
  • FIG. 5 is a schematic diagram of a data analysis apparatus according to an embodiment of the present application.
  • the data analysis device includes a transceiver unit 501, a processing unit 502, and a storage unit 503.
  • the transceiver unit 501 is configured to implement the content interaction between the processing unit 502 and other units or network elements.
  • the transceiver unit 501 can be a communication interface of the data analysis device, a transceiver circuit or a transceiver, or a transceiver.
  • the transceiver unit 501 can also be a communication interface or a transceiver circuit of the processing unit 502.
  • the transceiver unit 501 can be a chip.
  • the data analysis apparatus may also include a plurality of transceiver units 501 or the transceiver unit 501 includes a plurality of sub-transceiver units.
  • the transceiver unit 501 can also include a transmitting unit and a receiving unit.
  • the processing unit 502 is configured to implement processing of data by the data analysis device.
  • Processing unit 502 can be a processing circuit or a processor.
  • the processor may be a central processing unit (CPU), a network processor (NP) or a combination of a CPU and an NP.
  • the processor may further include a hardware chip.
  • the hardware chip may be an application-specific integrated circuit (ASIC), a programmable logic device (PLD), or a combination thereof.
  • the PLD may be a complex programmable logic device (CPLD), a field-programmable gate array (FPGA), a Generic Array Logic (GAL), or any combination thereof.
  • CPLD complex programmable logic device
  • FPGA field-programmable gate array
  • GAL Generic Array Logic
  • the data analysis device may also include a plurality of processing units or the processing unit 502 includes a plurality of sub-data processing units.
  • the processor may be a single-CPU processor or a multi-core processor.
  • the storage unit 503 is used to store computer instructions executed by the processing unit 502.
  • the storage unit 503 may be a storage circuit or a memory.
  • the memory can be either volatile memory or non-volatile memory, or can include both volatile and nonvolatile memory.
  • the non-volatile memory may be a read-only memory (ROM), a programmable read only memory (ROMM), an erasable programmable read only memory (erasable PROM, EPROM), or an electrical Erase programmable EPROM (EEPROM) or flash memory.
  • the volatile memory can be a random access memory (RAM) that acts as an external cache.
  • the storage unit 503 may be a unit that is independent of the processing unit 502, or may be a storage unit in the processing unit 502, which is not limited herein. Although only one storage unit 503 is shown in FIG. 5, the data analysis device may include a plurality of storage units 503 or the storage unit 503 includes a plurality of sub storage units.
  • the transceiver unit 501, the processing unit 502, and the storage unit 503 can be connected to each other through a bus.
  • the bus can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus.
  • PCI peripheral component interconnect
  • EISA extended industry standard architecture
  • the bus can be divided into an address bus, a data bus, a control bus, and the like.
  • the processing unit 502 causes the data analysis device to implement the methods in the first to sixth embodiments of the present application according to computer instructions stored in the storage unit 503.
  • the data analysis device may be a user plane data processing network element, for example, a UPF network element, a base station.
  • the data analysis device may also be a policy control network element, such as a PCF network element.
  • the data analysis device may also be a data analysis network element, such as an NWDA network element.
  • the transceiver unit 501 is configured to acquire at least one matching condition from the data analysis network element and receive user plane data, where each matching condition of the at least one matching condition corresponds to At least one type of business or at least one execution rule.
  • the processing unit 502 is configured to acquire, according to the at least one matching condition, a service type associated with the user plane data or an execution rule of the user plane data association.
  • the processing unit 502 is specifically configured to determine, from the at least one matching condition, a matching condition that the user plane data meets.
  • the transceiver unit 501 is further configured to acquire an execution rule corresponding to a matching condition that is satisfied by the user plane data of the policy control network element, or obtain a matching condition that is satisfied by the user plane data from the data analysis network element. Execution rules.
  • the processing unit 502 is further configured to process the user plane data according to a service type associated with the user plane data or an execution rule associated with the user plane data.
  • the processing unit 502 is specifically configured to determine that the destination address of the user plane data is an address of the terminal device, and the terminal device is in an idle state, according to the service type associated with the user plane data or the user plane data association.
  • the execution rule sends the paging priority information of the terminal device to the session management network element.
  • the processing unit 502 is specifically configured to forward the user plane data according to the service priority information indicated in the execution rule associated with the user plane data; or the processing unit 502 is specifically configured to be associated according to the user plane data.
  • the service type or the execution rule associated with the user plane data adds the label information of the service type to the user plane data; or the processing unit 502 is specifically configured to use the service type or the user plane associated with the user plane data.
  • the execution rule of the data association adds the scheduling priority information to the user plane data; or the processing unit 502 is specifically configured to use the service type associated with the user plane data or the policy and charging rule associated with the user plane data. Performing charging statistics on the user plane data.
  • the processing unit 502 is further configured to determine, from the at least one matching condition, a matching condition that the user plane data meets.
  • the transceiver unit 501 is further configured to acquire service type information corresponding to a matching condition that is satisfied by the user plane data of the data analysis network element.
  • the processing unit 502 is specifically configured to acquire, according to the service type information, a service type associated with the user plane data.
  • each of the at least one matching condition includes at least one matching feature and a condition that the at least one matching feature satisfies.
  • the processing unit 502 is specifically configured to determine that the user plane data has all or part of the matching features of the matching condition and meets the conditions that the all or part of the matching features meet.
  • the processing unit 502 is specifically configured to acquire a partial matching feature corresponding to the user plane data, and select a partial matching condition from the at least one matching condition according to the partial matching feature, according to the selection.
  • the partial matching condition determines a matching condition that the user plane data satisfies.
  • the partial matching feature corresponding to the user plane data includes IP quintuple information.
  • the processing unit 502 is specifically configured to select, from the at least one matching condition, a matching condition that the IP quintuple information is consistent with the IP quintuple information of the user plane data.
  • the transceiver unit 501 is further configured to implement the transceiving operation of the content of the user plane data processing network element and the external network element in the first embodiment to the third embodiment of the present application.
  • the processing unit 502 is further configured to implement the processing operation of the internal data or signaling of the user plane data processing network element in the first embodiment to the third embodiment of the present application.
  • the processing unit 502 is configured to implement step 311 in the second embodiment. The processing operation in step 312.
  • the processing unit 502 causes the user plane data processing network element to implement the operations performed by the user plane data processing network element in the first embodiment to the third embodiment of the present application according to the computer instructions stored in the storage unit 503.
  • the processing unit 502 uses the transceiver unit 501 to acquire at least one matching condition from the data analysis network element, where each of the at least one matching condition corresponds to at least one service. a type or at least one execution rule; the processing unit 502 acquires a service type associated with the user plane data or an execution rule of the user plane data association according to the at least one matching condition.
  • the processing unit 502 determines, from the at least one matching condition, a matching condition that the user plane data satisfies; the processing unit 502 uses the transceiver unit 501 to acquire the user plane data from the policy control network element.
  • the matching rule corresponds to the execution rule; or the processing unit 502 uses the transceiver unit 501 to acquire an execution rule corresponding to the matching condition that the user plane data of the data analysis network element satisfies.
  • the processing unit 502 processes the user plane data according to the service type associated with the user plane data or the execution rule associated with the user plane data.
  • the processing unit 502 determines that the destination address of the user plane data is an address of the terminal device, and the terminal device is in an idle state, according to the service type or the user plane associated with the user plane data.
  • the execution rule of the data association uses the transceiver unit 501 to send the paging priority information of the terminal device to the session management network element.
  • the processing unit 502 forwards the user plane data according to the service priority information indicated in the execution rule associated with the user plane data; or the processing unit 502 associates the service according to the user plane data.
  • the type or the execution rule associated with the user plane data adds the label information of the service type to the user plane data; or the processing unit 502 associates with the service type associated with the user plane data or the execution rule associated with the user plane data
  • the user plane data is added with scheduling priority information; or the processing unit 502 performs charging statistics on the user plane data according to the service type associated with the user plane data or the policy and charging rule associated with the user plane data.
  • the processing unit 502 determines, from the at least one matching condition, a matching condition that the user plane data satisfies; acquiring, by the transceiver unit 502, the user plane data from the data analysis network element is satisfied.
  • the service type information corresponding to the matching condition is obtained by the processing unit 502, and the processing unit 502 acquires the service type associated with the user plane data according to the service type information.
  • the processing unit 502 is configured to acquire at least one matching condition, wherein each of the at least one matching condition corresponds to at least one service type or at least one execution rule.
  • the transceiver unit 501 is configured to send the at least one matching condition to the user plane data processing network element.
  • the transceiver unit 501 is further configured to receive a partial matching feature from a policy control network element.
  • the processing unit 502 is specifically configured to select the at least one matching condition from the pre-acquired matching conditions according to the partial matching feature.
  • the partial matching feature includes a data network name and/or identification information of a user plane data processing network element corresponding to the data network.
  • the processing unit 502 is specifically configured to select, from the pre-acquired matching conditions, a matching condition that is consistent with the data network name and/or the identifier information of the user plane data processing network element corresponding to the data network.
  • the transceiver unit 501 is further configured to send the service type information corresponding to the at least one matching condition to the policy control network element or the user plane data processing network element.
  • the transceiver unit 501 is further configured to send, to the policy control network element or the user plane data processing network element, an execution rule corresponding to the at least one matching condition.
  • the transceiver unit 501 is further configured to acquire training data corresponding to at least one service type, and the processing unit 502 is specifically configured to acquire the at least one matching condition according to the training data.
  • the transceiver unit 501 is further configured to implement the transceiving operation of the content of the data analysis network element and the external network element in the first embodiment to the third embodiment of the present application.
  • the processing unit 502 is further configured to implement the processing operation of the internal data or signaling of the data analysis network element in the first to third embodiments of the present application.
  • the processing unit 502 is configured to implement step 302 and step 306 in the second embodiment. Processing operations in .
  • the processing unit 502 causes the data analysis network element to implement the operations performed by the data analysis network element in the first to sixth embodiments of the present application according to the computer instructions stored in the storage unit 503.
  • the processing unit 502 acquires at least one matching condition, where each of the at least one matching condition corresponds to at least one service type or at least one execution rule;
  • the transmitting and receiving unit 501 transmits the at least one matching condition to the user plane data processing network element by using the transceiver unit 501.
  • the processing unit 502 receives the partial matching feature from the policy control network element by using the transceiver unit 501; the processing unit 502 selects the at least one matching condition from the pre-acquired matching conditions according to the partial matching feature. .
  • the partial matching feature includes a data network name and/or identification information of a user plane data processing network element corresponding to the data network; and the processing unit 502 selects a location from the pre-acquired matching conditions.
  • the matching condition of the data network name and/or the identification information of the user plane data processing network element corresponding to the data network is consistent.
  • the processing unit 502 sends, by using the transceiver unit 501, the service type information corresponding to the at least one matching condition to the policy control network element or the user plane data processing network element.
  • the processing unit 502 sends, by using the transceiver unit 501, the execution rule corresponding to the at least one matching condition to the policy control network element or the user plane data processing network element.
  • the processing unit 502 uses the transceiver unit 501 to acquire training data corresponding to at least one service type; and the processing unit 502 acquires the at least one matching condition according to the training data.
  • the processing unit 502 is configured to acquire, by the transceiver unit 501, at least one matching condition from the data analysis network element, wherein each of the at least one matching condition is matched. Corresponding to at least one type of business or at least one execution rule.
  • the processing unit 502 is further configured to send, by using the transceiver unit 501, at least part of the at least one matching condition to the user plane data processing network element.
  • the processing unit 502 is further configured to select the at least partial matching condition from the at least one matching condition according to the partial matching feature.
  • the partial matching feature includes a data network name and/or identification information of a user plane data processing network element corresponding to the data network.
  • the processing unit 502 is specifically configured to select, from the at least one matching condition, a matching condition that is consistent with the data network name and/or the identifier information of the user plane data processing network element corresponding to the data network.
  • the transceiver unit 501 is further configured to send the service type information corresponding to the at least part of the matching condition to the user plane data processing network element.
  • the transceiver unit 501 is further configured to send, to the user plane data processing network element, an execution rule corresponding to the at least part of the matching condition.
  • the transceiver unit 501 is further configured to acquire service type information corresponding to the at least partial matching condition of the data analysis network element.
  • the processing unit 502 is further configured to generate, according to the acquired service type information, an execution rule corresponding to the at least part of the matching condition.
  • the transceiver unit 501 is further configured to send, to the user plane data processing network element, an execution rule corresponding to the at least part of the matching condition.
  • the transceiver unit 501 is further configured to implement the transceiving operation of the content of the policy control network element and the external network element in the first to third embodiments of the present application.
  • the processing unit 502 is further configured to implement the processing operation of the data or signaling of the policy control network element in the first to third embodiments of the present application.
  • the processing unit 502 is configured to implement the processing operation of step 308 in the second embodiment. .
  • the processing unit 502 causes the policy control network element to implement the operations performed by the policy control network element in the first to sixth embodiments of the present application according to the computer instructions stored in the storage unit 503.
  • the processing unit 502 uses the transceiver unit 501 to acquire at least one matching condition from the data analysis network element, where each of the at least one matching condition corresponds to at least one service. Type or at least one execution rule; the processing unit 502 uses the transceiving unit 501 to transmit at least a partial matching condition of the at least one matching condition to the user plane data processing network element.
  • the processing unit 502 selects the at least partial matching condition from the at least one matching condition according to the partial matching feature.
  • the partial matching feature includes a data network name and/or identification information of a user plane data processing network element corresponding to the data network; the processing unit 502 selects and selects from the at least one matching condition.
  • the data network name and/or the matching condition that the identification information of the user plane data processing network element corresponding to the data network is consistent.
  • the processing unit 502 sends, by using the transceiver unit 501, the service type information corresponding to the at least part of the matching condition to the user plane data processing network element.
  • the processing unit 502 sends, by using the transceiver unit 501, the execution rule corresponding to the at least partial matching condition to the user plane data processing network element.
  • the processing unit 502 uses the transceiver unit 501 to acquire the service type information corresponding to the at least partial matching condition from the data analysis network element; the processing unit 502 generates the location according to the acquired service type information. Executing an execution rule corresponding to the at least part of the matching condition; in a possible implementation manner, the execution rule corresponding to the at least part of the matching condition is sent to the user plane data processing network element.
  • the computer program product can include one or more computer instructions.
  • the computer can be a general purpose computer, a special purpose computer, a computer network, or other programmable device.
  • the computer instructions can be stored in a computer readable storage medium or transferred from one computer readable storage medium to another computer readable storage medium, for example, the computer instructions can be from a website site, computer, server or data center Transfer to another website site, computer, server, or data center by wire (eg, coaxial cable, fiber optic, digital subscriber (DSL), or wireless (eg, infrared, wireless, microwave, etc.).
  • the computer readable storage medium can be any available media that can be accessed by a computer or a data storage device such as a server, data center, or the like that includes one or more available media.
  • the usable medium may be a magnetic medium (eg, a floppy disk, a hard disk, a magnetic disk), an optical medium (eg, a DVD), or a semiconductor medium (eg, a solid state disk (SSD)) or the like.
  • a magnetic medium eg, a floppy disk, a hard disk, a magnetic disk
  • an optical medium eg, a DVD
  • a semiconductor medium eg, a solid state disk (SSD)
  • the disclosed systems, devices, and methods may be implemented in other manners.
  • the device embodiments described above are merely illustrative.
  • the division of the unit is only a logical function division.
  • there may be another division manner for example, multiple units or components may be combined or Can be integrated into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the functions may be stored in a computer readable storage medium if implemented in the form of a software functional unit and sold or used as a standalone product.
  • the technical solution of the present application which is essential or contributes to the prior art, or a part of the technical solution, may be embodied in the form of a software product, which is stored in a storage medium, including
  • the instructions are used to cause a computer device (which may be a personal computer, server, or network device, etc.) to perform all or part of the steps of the methods described in various embodiments of the present application.
  • the foregoing storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read only memory, a random access memory, a magnetic disk, or an optical disk.

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Abstract

本申请实施例提供一种数据分析方法和数据分析装置。该方法包括：用户面数据处理网元获取来自数据分析网元的至少一个匹配条件，其中，所述至少一个匹配条件中的每个匹配条件对应至少一种业务类型或至少一种执行规则；所述用户面数据处理网元根据所述至少一个匹配条件获取用户面数据关联的业务类型或所述用户面数据关联的执行规则。本申请实施例实现了在通信网络中利用数据分析网元对数据进行分析。

Description

数据分析方法和数据分析装置
本申请要求在2017年09月30日提交中华人民共和国知识产权局、申请号为201710913574.1、发明名称为“数据分析方法和数据分析装置”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本申请实施例涉及通信领域，更具体地，涉及一种数据分析方法和数据分析装置。
背景技术
在第五代(5rd generation，5G)通信网络中，引入了网络数据分析(network data analytics,NWDA)网元。NWDA网元采用大数据分析方法进行模型训练，并使用训练出的模型对数据进行分析。然而，现有技术并没有提供在通信网络中如何利用NWDA网元进行数据分析的具体方法。
发明内容
本申请实施例提供一种数据分析方法和数据分析装置，能够实现在通信网络中利用数据分析网元进行数据分析。
本申请第一方面，提供了一种数据分析方法，包括：用户面数据处理网元获取来自数据分析网元的至少一个匹配条件，其中，所述至少一个匹配条件中的每个匹配条件对应至少一种业务类型或至少一种执行规则；所述用户面数据处理网元接收用户面数据；所述用户面数据处理网元根据所述至少一个匹配条件获取所述用户面数据关联的业务类型或所述用户面数据关联的执行规则。本申请实施例实现了在通信网络中利用数据分析网元对数据进行分析。
在第一方面的第一种可能的实现方式中，所述用户面数据处理网元根据所述至少一个匹配条件获取所述用户面数据关联的执行规则，包括：所述用户面数据处理网元从所述至少一个匹配条件中确定所述用户面数据满足的匹配条件；所述用户面数据处理网元获取来自策略控制网元的所述用户面数据满足的匹配条件对应的执行规则；或，所述用户面数据处理网元获取来自所述数据分析网元的所述用户面数据满足的匹配条件对应的执行规则。
在第一方面的第二种可能的实现方式中，所述用户面数据处理网元根据所述用户面数据关联的业务类型或所述用户面数据关联的执行规则处理所述用户面数据。
结合第一方面的第二种可能的实现方式，在第一方面的第三种可能的实现方式中，所述用户面数据处理网元根据所述用户面数据关联的业务类型或所述用户面数据关联的执行规则处理所述用户面数据，包括：所述用户面数据处理网元确定所述用户面数据的目的地址为终端设备的地址且所述终端设备处于空闲状态；所述用户面数据处理网元根据所述用户面数据关联的业务类型或所述用户面数据关联的执行规则向会话管理网元发送所述终端设备的寻呼优先级信息。
结合第一方面的第二种可能的实现方式，在第一方面的第四种可能的实现方式中，所述用户面数据处理网元根据所述用户面数据关联的业务类型或所述用户面数据关联的执 行规则处理所述用户面数据，包括：所述用户面数据处理网元根据所述用户面数据关联的执行规则中指示的业务优先级信息转发所述用户面数据；或者，所述用户面数据处理网元根据所述用户面数据关联的业务类型或所述用户面数据关联的执行规则为所述用户面数据增加业务类型的标签信息；或者，所述用户面数据处理网元根据所述用户面数据关联的业务类型或所述用户面数据关联的执行规则为所述用户面数据增加调度优先级信息；或者，所述用户面数据处理网元根据所述用户面数据关联的业务类型或所述用户面数据关联的策略与计费规则对所述用户面数据进行计费统计。
在第一方面的任一种可能的实现方式中，所述用户面数据处理网元根据所述至少一个匹配条件获取所述用户面数据关联的业务类型，包括：所述用户面数据处理网元从所述至少一个匹配条件中确定所述用户面数据满足的匹配条件；所述用户面数据处理网元获取来自所述数据分析网元的所述用户面数据满足的匹配条件对应的业务类型信息；所述用户面数据处理网元根据所述业务类型信息获取所述用户面数据关联的业务类型。
在第一方面的任一种可能的实现方式中，所述至少一个匹配条件中的每个匹配条件包括至少一个匹配特征和所述至少一个匹配特征满足的条件；所述用户面数据处理网元从所述至少一个匹配条件中确定所述用户面数据满足的匹配条件，包括：所述用户面数据处理网元确定所述用户面数据具有一个匹配条件的全部或部分匹配特征且符合所述全部或部分匹配特征满足的条件。
在第一方面的任一种可能的实现方式中，所述用户面数据处理网元从所述至少一个匹配条件中确定所述用户面数据满足的匹配条件，包括：所述用户面数据处理网元获取所述用户面数据对应的部分匹配特征；所述用户面数据处理网元根据所述部分匹配特征，从所述至少一个匹配条件中选择部分匹配条件；所述用户面数据处理网元根据选择的所述部分匹配条件确定所述用户面数据满足的匹配条件。
所述用户面数据对应的部分匹配特征包括互联网协议IP五元组信息；所述用户面数据处理网元根据所述部分匹配特征从所述至少一个匹配条件中选择部分匹配条件，包括：所述用户面数据处理网元从所述至少一个匹配条件中选择IP五元组信息与所述用户面数据的IP五元组信息一致的匹配条件。
本申请第二方面，提供了一种数据分析方法，包括：数据分析网元获取至少一个匹配条件，其中，所述至少一个匹配条件中的每个匹配条件对应至少一种业务类型或至少一种执行规则；所述数据分析网元向用户面数据处理网元发送所述至少一个匹配条件。
在第二方面的第一种可能的实现方式中，所述数据分析网元获取至少一个匹配条件，包括：所述数据分析网元接收来自策略控制网元的部分匹配特征；所述数据分析网元根据所述部分匹配特征从预先获取的匹配条件中选择所述至少一个匹配条件。
结合第二方面的第一种可能的实现方式，在第二方面的第二种可能的实现方式中，所述部分匹配特征包括数据网络名称和/或数据网络对应的用户面数据处理网元的标识信息；所述数据分析网元根据所述部分匹配特征从所述预先获取的匹配条件中选择所述至少一个匹配条件，包括：所述数据分析网元从所述预先获取的匹配条件中选择与所述数据网络名称和/或所述数据网络对应的用户面数据处理网元的标识信息一致的匹配条件。
在第二方面的任一种可能的实现方式中，所述方法还包括：所述数据分析网元向策略控制网元或所述用户面数据处理网元发送所述至少一个匹配条件对应的业务类型信息。
在第二方面的任一种可能的实现方式中，所述方法还包括：所述数据分析网元向所述 策略控制网元或所述用户面数据处理网元发送所述至少一个匹配条件对应的执行规则。
在第二方面的任一种可能的实现方式中，所述方法还包括：所述数据分析网元获取至少一种业务类型对应的训练数据；所述数据分析网元获取所述至少一个匹配条件，包括：所述数据分析网元根据所述训练数据获取所述至少一个匹配条件。
本申请第三方面，提供了一种数据分析方法，包括：策略控制网元获取来自数据分析网元的至少一个匹配条件，其中，所述至少一个匹配条件中的每个匹配条件对应至少一种业务类型或至少一种执行规则；所述策略控制网元向用户面数据处理网元发送所述至少一个匹配条件中的至少部分匹配条件。
在第二方面的第一种可能的实现方式中，所述方法还包括：所述策略控制网元根据部分匹配特征从所述至少一个匹配条件中选择所述至少部分匹配条件。
结合第二方面的第一种可能的实现方式，在第二方面的第二种可能的实现方式中，所述部分匹配特征包括数据网络名称和/或数据网络对应的用户面数据处理网元的标识信息；所述策略控制网元根据所述部分匹配特征从所述至少一个匹配条件中选择所述部分匹配条件，包括：所述策略控制网元从所述至少一个匹配条件中选择与所述数据网络名称和/或所述数据网络对应的用户面数据处理网元的标识信息一致的匹配条件。
在第三方面的任一种可能的实现方式中，所述方法还包括：所述策略控制网元向所述用户面数据处理网元发送所述至少部分匹配条件对应的业务类型信息。
在第三方面的任一种可能的实现方式中，所述方法还包括：所述策略控制网元向所述用户面数据处理网元发送所述至少部分匹配条件对应的执行规则。
在第三方面的任一种可能的实现方式中，所述方法还包括：所述策略控制网元获取来自所述数据分析网元的所述至少部分匹配条件对应的业务类型信息；所述策略控制网元根据所述获取的业务类型信息生成所述至少部分匹配条件对应的执行规则；所述策略控制网元向所述用户面数据处理网元发送所述至少部分匹配条件对应的执行规则。
本申请第四方面，提供了一种数据分析方法，包括：用户面数据处理网元获取来自数据分析网元的匹配条件，其中，所述匹配条件对应一种业务类型或一种执行规则；所述用户面数据处理网元接收用户面数据；所述用户面数据处理网元根据所述匹配条件获取所述用户面数据关联的业务类型或所述用户面数据关联的执行规则。
本申请第五方面，提供了一种数据分析方法，包括：数据分析网元获取匹配条件，其中，所述匹配条件对应一种业务类型或一种执行规则；所述数据分析网元向用户面数据处理网元发送所述匹配条件。
本申请第六方面，提供了一种数据分析方法，包括：策略控制网元获取来自数据分析网元的匹配条件，其中，所述匹配条件对应一种业务类型或一种执行规则；所述策略控制网元向用户面数据处理网元发送所述匹配条件。
本申请第七方面，提供了一种数据分析装置，包括：收发单元，用于获取来自数据分析网元的至少一个匹配条件以及接收用户面数据，其中，所述至少一个匹配条件中的每个匹配条件对应至少一种业务类型或至少一种执行规则；处理单元，用于根据所述至少一个匹配条件获取所述用户面数据关联的业务类型或所述用户面数据关联的执行规则。
本申请第八方面，提供了一种数据分析装置，包括：处理单元，用于获取至少一个匹配条件，其中，所述至少一个匹配条件中的每个匹配条件对应至少一种业务类型或至少一种执行规则；收发单元，用于向用户面数据处理网元发送所述至少一个匹配条件。
本申请第九方面，提供了一种数据分析装置，包括处理单元和收发单元，所述处理单元用于通过所述收发单元获取来自数据分析网元的至少一个匹配条件，其中，所述至少一个匹配条件中的每个匹配条件对应至少一种业务类型或至少一种执行规则；所述处理单元还用于通过所述收发单元向用户面数据处理网元发送所述至少一个匹配条件中的至少部分匹配条件。
本申请的第十方面，提供了一种数据分析的装置，包括：存储单元，用于存储计算机指令；处理单元，用于根据所述存储单元中存储的计算机指令执行上述第一方面到第六方面以及各种可能的实现方式中的任何一种方法。
本申请的第十一方面，提供了一种计算机存储介质，所述计算机可读存储介质中存储有指令，当其在计算机上运行时，使得计算机执行上述第一方面到第六方面以及各种可能的实现方式中的任何一种方法。
本申请的第十二方面，提供了一种包含指令的计算机程序产品，当其在计算机上运行时，使得计算机执行上述第一方面到第六方面以及各种可能的实现方式中的任何一种方法。
附图说明
图1是实现本申请实施例的一种通信系统的示意图。
图2是本申请第一实施例的数据分析方法的示意性流程图。
图3是本申请第二实施例的数据分析方法的示意性流程图。
图4是本申请第三实施例的数据分析方法的示意性流程图。
图5是本申请实施例提供的一种数据分析装置的示意图。
具体实施方式
本申请实施例可以用于长期演进网络(long term evolution，LTE)、5G或者下一代网络、固定网络、家庭基站网络或者非3GPP(如wifi)接入的移动网络等。在本申请中，以应用于5G网络进行举例说明。
本申请实施例可以用于全球移动通讯系统网络(global system for mobile communications，GSM)，宽带码分多址网络(wideband code division multiple access，WCDMA)、长期演进网络(long term evolution，LTE)、5G或者下一代网络、固定网络，家庭基站网络，非3GPP(如wifi)接入的移动网络等。在本申请中，以应用于5G网络进行举例说明。
图1是能够实现本申请实施例的一种通信系统的示意图。在该通信系统中，终端设备101通过接入网(access network,AN)设备102接入核心网。
其中，该终端设备101包括但不限于：用户设备(user equipment，UE)、用户单元、用户站、移动站、移动台、远方站、远程终端设备、移动终端设备、用户终端设备、终端设备、无线通信设备、用户代理、用户装置、蜂窝电话、无绳电话、会话启动协议(session initiation protocol，SIP)电话、无线本地环路(wireless local loop，WLL)站、个人数字处理(personal digital assistant，PDA)、具有无线通信功能的手持设备、计算设备、连接到无线调制解调器的处理设备、车载设备、可穿戴设备、物联网中的终端设备设备、家用电器、虚拟现实设备、未来5G网络中的终端设备设备或者未来演进的公共陆地移动网络(public  land mobile network，PLMN)中的终端设备设备等。
接入网设备102可以是与终端设备101进行通信的设备。接入网设备可以为特定的地理区域提供通信覆盖，并且可以与位于该覆盖区域(小区)内的终端设备进行通信。接入网设备102可以与任意数目终端设备通信。接入网设备102与终端设备101之间可以有多个空口连接，例如，接入网设备102与终端设备101之间存在两个空口连接，分别用于传输数据流A和数据流B。接入网设备可以支持不同制式的通信协议，或者可以支持不同的通信模式。例如，该接入网设备102以是演进型基站(evolved node B，eNodeB)，或者是无线保真接入点(wireless fidelity access point，WiFi AP)、或者是全球微波接入互操作性基站(worldwide interoperability for microwave access base station，WiMAX BS)，或者是云无线接入网络(cloud radio access network，CRAN)中的无线控制器，或者该网络设备可以为未来5G网络中的接入网设备或者未来演进PLMN中的接入网设备等。
核心网可以包括：控制面功能(control plane function，CPF)网元、用户面功能(user plane function，UPF)网元103、策略控制功能(policy control function,PCF)网元104以及网络数据分析(network data analytics,NWDA)网元105。其中，控制面功能网元可以包括接入管理功能(access management function，AMF)网元106和会话管理功能(session management function，SMF)网元107。通过接入网设备102和用户面功能网元103，可以实现终端设备101和数据网络(data network，DN)108之间用户面数据的传输。
PCF网元104具有策略控制决策的功能，为网络提供策略。NWDA网元105用于大数据学习和分析。AMF网元106用于移动性管理、合法监听、接入授权\鉴权等。SMF网元107用于实现会话和承载管理、IP地址分配等。DN108为用于传输数据的网络，具体的，DN108可以为(internet protocol,IP)多媒体子系统(IP multimedia subsystem,IMS)服务器或者分组数据网络(packet data network,PDN)或者应用服务器(application server,App server)。
可以理解的是，在图1所示的通信系统中，各组成网元的功能仅为示例性的，各个组成网元在应用于本申请的实施例中时，并非全部功能都是必需的。
在本申请的实施例中，“和/或”仅仅是一种描述关联对象的关联关系，表示可以存在三种关系。例如，A和/或B，可以表示：单独存在A，同时存在A和B，单独存在B这三种情况。另外，在本申请的描述中，“多个”是指两个或多于两个。
在本申请的实施例中，某一网元(例如：A网元)获取来自另一网元(例如：B网元)的信息，可以指A网元直接从B网元接收信息，也可以指A网元经其他网元(例如：C网元)从B网元接收信息。当A网元经C网元从B网元接收信息时，C网元可以对信息进行透传，也可以将信息进行处理，例如：将信息携带在不同的消息中进行传输或者对信息进行筛选，只发送筛选后的信息给A网元。类似的，在本申请的各实施例中，A网元向B网元发送信息，可以指A网元直接向B网元发送信息，也可以指A网元经其他网元(例如：C网元)向B网元发送信息。
图2是本申请第一实施例的数据分析方法的示意性流程图。该数据分析方法包括：
步骤201：数据分析网元获取训练数据。
数据分析网元可以是图1中的NWDA网元。数据分析网元也可以是其他具有网络数据分析功能的网元，在此不做限定。
数据分析网元可以分别从其他网元获取训练数据，数据分析网元也可以从同一个网元集中获取训练数据。具体的，其他网元可以是电信网络设备，也可以是第三方服务器。其 中，电信网络设备可以为如下设备中的至少一种：终端设备、接入网设备、控制面功能网元(例如：AMF网元或SMF网元)、UPF网元、PCF网元、网络管理网元(例如：业务支撑系统(business support system,BSS)或运营支撑系统(operation support system,OSS)或管理支撑系统(management support system,MSS))、统一数据管理(unified data management,UDM)网元和IMS网元。第三方服务器可以为App Server、OTT(over the top)服务器、垂直行业管控中心中的至少一种。
数据分析网元可以通过与其他网元进行数据交互直接获取训练数据。数据分析网元也可以通过其他网元间接的获取训练数据。例如：数据分析网元通过网络开放功能(network exposure function,NEF)网元获取来自第三方服务器的数据。
数据分析网元可以实时地从其他网元获取训练数据，数据分析网元也可以在数据分析网元和/或其他网元空闲时获取训练数据。
数据分析网元获取的训练数据可以是原始数据。数据分析网元获取的训练数据可也可以是其他网元预处理后的数据。例如：应用服务器出于保护用户隐私的目的，将原始数据中的敏感信息清洗，并将处理后的数据发送给数据分析网元。
数据分析网元获取的训练数据可以是网络数据，例如：终端设备的地址、小区标识(cell ID)、时间信息、网络拥塞状况等。数据分析网元获取的训练数据还可以是应用数据，例如：IP五元组、用户面数据大小，用户面数据间隔、业务类型、业务体验、扩展字段等。数据分析网元还可以将获取的应用数据和网络数据进行关联，得到关联后的训练数据。例如：数据分析网元根据终端设备的地址和/或时间信息，将应用数据和网络数据进行关联。终端设备的地址可以是IP地址，也可以是以太网地址。
数据分析网元可以以业务类型为粒度获取训练数据。例如：数据分析网元分别获取支付业务的训练数据、基于长期演进的语音(voice over long term evolution,VOLTE)业务的训练数据。
数据分析网元也可以以网元为粒度获取训练数据。例如：从终端设备获取的训练数据可以包括：终端类型、终端设备的地址、操作系统版本、终端设备的温度、终端设备的电量、终端设备测量的小区无线信道质量等；从会话管理网元获取的训练数据可以包括：会话管理网元的标识(identifier,ID)、终端设备的地址、数据网络名称(data network name,DNN)等；从用户面功能网元获取的训练数据可以包括：用户面功能网元ID、隧道端点标识(tunnel end point identifier,TEID)、拥塞级别、IP五元组、用户面数据大小、用户面数据个数等；从接入网设备获取的训练数据可以包括：小区标识(cell)、服务质量(quality of service,Qos)参数、实时无线信道质量(例如：参考信号接收功率(reference signal receiving power,RSRP),参考信号接收质量(reference singnal received quality,RSRQ),信号与干扰加噪声比(signal to interference plus noise ratio,SINR)、业务切换门限、滤波系数、天线倾角、载频、载波、丢包率、保证比特速率(guaranteed bit rate,GBR)、最大比特速率(maximum bit rate,MBR)、拥塞级别等；从第三方服务器获取的训练数据可以包括：IP五元组、开始时间、结束时间、业务类型等。
在本申请的各实施例中，以用户面数据为数据包进行举例说明。
步骤202：数据分析网元对训练数据进行分析，获取匹配条件。
数据分析网元采用大数据分析的方法对步骤201中获得的训练数据进行分析，获取至少一个匹配条件。其中，该至少一个匹配条件中的每个匹配条件对应至少一种业务类型或 至少一种执行规则。执行规则可以是执行策略(enforcement policy)、控制策略、计费策略(charging policy)、策略与计费控制(policy & charging control,PCC)规则(rule)中的至少一种。PCC规则可以包括服务质量策略。
数据分析网元对各种业务类型的训练数据分别进行分析，从而获取每种业务类型对应的匹配条件。其中，一种业务类型可以唯一的对应一个匹配条件；一种业务类型也可以对应多个匹配条件；一个匹配条件可以唯一的对应一种业务类型，一个匹配条件也可以对应多种业务类型。当一个匹配条件对应多种业务类型时，还可以结合该匹配条件以外的其他条件或者特征确定对应的业务类型，在此不做限定。
数据分析网元根据匹配条件对应的业务类型，确定该业务类型的执行规则，即该匹配条件对应的执行规则。数据分析网元也可以根据匹配条件中的特征，确定该匹配条件对应的执行规则。例如：数据分析网元可以根据匹配条件中的无线信道质量、拥塞级别、丢包率、切换门限等特征确定匹配条件对应的执行规则。数据分析网元也可以根据训练数据确定执行规则相关的特征(例如：无线信道质量、拥塞级别、丢包率、切换门限等)，然后将该执行规则相关的特征发送给策略控制网元，由该策略控制网元确定执行规则。
每个匹配条件包括至少一个匹配特征和该至少一个匹配特征满足的条件。可选的，每个匹配条件还可以包括匹配特征对应的特征索引。匹配特征满足的条件可以是该匹配特征的取值或者取值范围，匹配特征满足的条件也可以是该匹配特征的具体内容，例如：数据网络的具体名称。匹配特征的取值或者取值范围可以是该特征实际的取值或取值范围，也可以是该特征的实际取值或取值范围处理后的数值或者数值范围，如：归一化后的数值或数值范围、量化后的数值或数值范围。
当一个匹配条件包括多个匹配特征时，该多个匹配特征可以以特征列表的形式体现，该匹配条件可以以表格的形式体现。其中，各个匹配条件之间的匹配特征可以部分相同，也可以完全不同。匹配条件中还可以包括该匹配条件对应的业务类型信息，例如：在特征列表中增加一行或者一列用于指示该匹配条件对应的业务类型。匹配条件中还可以包括该匹配条件对应的执行规则信息，例如：在特征列表中增加一行或者一列用于指示该匹配条件对应的执行规则信息。执行规则信息可以是具体的执行规则，也可以是执行规则相关的特征，还可以是执行规则的编号等。
数据分析网元可以获取业务粒度的匹配特征。例如：若某种业务的训练数据对应的数据包的大小为某特定值或属于某特定范围，则数据分析网元可以将数据包的大小作为该种业务的一个匹配特征。又例如：若某种业务的训练数据对应的数据包来自某一或某些特定的数据网络，则数据分析网元可以将数据网络名称作为该种业务的另一个匹配特征。
数据分析网元可以获取终端设备粒度的匹配特征。例如：不同厂商生产的终端设备对应的某种业务的数据包特征可能不同。当要区分不同终端设备的该种业务时，数据分析网元可以将终端设备的类型作为该种业务的一个匹配特征。可选的，数据分析网元可以根据国际移动设备身份码(International Mobile Equipment Identity，IMEI)中的类型分配码(Type Allocation Code，TAC)区分终端设备的类型，因此，数据分析网元可以将终端设备的IMEI作为一个匹配特征。又例如：不同操作系统的终端设备对应的某种业务的数据包特征可能不同。因此，数据分析网元也可以将终端设备的操作系统的类型作为该种业务的一个匹配特征。
数据分析网元还可以获取用户粒度的匹配特征。例如：某用户为商家用户，则该用户 持有的终端设备在固定位置长时间进行某种业务。因此，数据分析网元可以将该终端设备的位置信息作为该种业务的一个匹配特征。可选的，数据分析网元可以从应用服务器获取该终端设备的公网地址信息和端口号信息。然后数据分析网元可以向网络地址转换(network address translation,NAT)网元查询该公网对应的内网地址信息。数据分析网元向网管获取该内网地址信息对应的用户标识信息和位置信息等。
在本申请的实施例中，数据分析网元可以采用现有技术中的大数据分析方法，获取匹配特征，在此不做限定。
为了方便理解，表1是本申请实施例中提供的一个匹配条件的举例说明。该匹配条件包括匹配特征、匹配特征满足的条件以及每个匹配特征对应的特征索引。
表1
Figure PCTCN2018104096-appb-000001
步骤203：数据分析网元向策略控制网元发送至少一个匹配条件。
策略控制网元可以是图1中的PCF网元，也可以是其他具有策略控制功能的网元在此不做限定。
数据分析网元可以将多个业务类型对应的多个匹配条件在同一个消息中发送给策略控制网元，数据分析网元也可以将多个业务类型对应的多个匹配条件分别发送给策略控制网元。数据分析网元可以主动向策略控制网元发送匹配条件，数据分析网元也可以根据策略控制网元的请求发送匹配条件。数据分析网元可以实时的向策略控制网元发送匹配条件，也可以在网络空闲时向策略控制网元发送匹配条件，在此不做限定。
在一种可能的实现方式中，数据分析网元可以根据部分匹配特征从步骤202中预先获取的匹配条件中选择部分匹配条件。然后，将选择的部分匹配条件作为上述至少一个匹配条件向策略控制网元发送。部分匹配特征可以是匹配条件中的匹配特征，也可以是不在匹 配条件中但跟匹配条件关联的特征。例如：部分匹配特征可以是数据网络名称(data network name，DNN)和/或与数据网络对应的UPF网元的标识信息。数据分析网元可以接收来自会话管理网元的消息，该消息中包括DNN和/或UPF网元的标识信息。数据分析网元从预先获取的匹配条件中选择与DNN和/或UPF网元的标识信息一致的匹配条件发送给策略控制网元，这样可以进一步降低网络将的数据吞吐量。
数据分析网元可以向策略控制网元发送该至少一个匹配条件对应的业务类型信息。该业务类型信息可以是该匹配条件对应的业务类型，该业务类型信息也可以是该匹配条件对应的业务类型的指示信息，例如：该业务类型或者匹配条件对应的编号。该业务类型信息可以包括在对应的匹配条件中向策略控制网元发送，该业务类型信息也可以单独向策略控制网元发送。
数据分析网元还可以向策略控制网元发送匹配条件对应的执行规则信息。其中，执行规则信息可以具体的执行规则，也可以是与执行规则相关的信息，例如：步骤203中与执行规则相关的特征的信息。
步骤204：策略控制网元接收数据分析网元发送的至少一个匹配条件。策略控制网元向用户面数据处理网元发送所述至少一个匹配条件中的至少部分匹配条件。
用户面数据处理网元可以是图1中的用户面功能网元，也可以是接入网设备，还可以是其他具有用户面数据处理功能的网元。具体的，策略控制网元可以经会话管理网元向用户面数据处理网元发送所述至少部分匹配条件。
在一种可能的实现方式中，策略控制网元可以根据部分匹配特征从接收到的至少一个匹配条件中选择部分匹配条件。部分匹配特征可以是匹配条件中的匹配特征，也可以是不在匹配条件中但跟匹配条件关联的特征。例如：策略控制网元接收来自会话管理网元的部分匹配特征。该部分特征可以是DNN和/或数据网络对应的UPF网元的标识信息。策略控制网元从接收到的至少一个匹配条件中选择与DNN和/或UPF网元的标识信息一致的匹配条件作为部分匹配条件发送给用户面数据处理网元。
策略控制网元可以接收来自数据分析网元的业务类型信息。该业务类型信息可以是该匹配条件对应的业务类型，该业务类型信息也可以是该匹配条件对应的业务类型的指示信息，例如：该业务类型或者匹配条件对应的编号。策略控制网元可以在同一条消息中接收该业务类型信息及对应的匹配条件，策略控制网元也可以分别接收该业务类型信息及对应的匹配条件。
策略控制网元也可以不从数据分析网元接收业务类型信息，策略控制网元可以根据匹配条件中的部分特征，分析得出该匹配条件对应的业务类型。例如：根据IP五元组信息确定该匹配条件对应的业务类型。
策略控制网元可以向用户面处理网元发送所述至少部分匹配条件对应的业务类型信息。该业务类型信息可以与所述至少部分匹配条件在同一条消息中发送，也可以与所述至少部分匹配条件分别发送，在此不做限定。
策略控制网元可以根据获取的业务类型信息，为对应的业务类型生成执行规则。策略控制网元也可以接收来自数据分析网元的该业务类型对应的执行规则。策略控制网元还可以接收来自数据分析网元的执行规则相关的特征，然后根据接收到的特征确定该匹配条件对应的执行规则，例如：策略控制网元可以根据无线信道质量、拥塞级别、丢包率、切换门限等信息确定匹配条件对应的执行规则。
策略控制网元可以向用户面处理网元发送所述至少部分匹配条件对应的执行规则。该执行规则可以与所述至少部分匹配条件和业务类型信息一起发送，也可以与所述至少部分匹配条件和业务类型信息分别发送，在此不做限定。
步骤205：用户面数据处理网元接收来自策略控制的所述至少一个匹配条件中的至少部分匹配条件。
在一种可能的实现方式中，用户面数据处理网元可以存储接收到的匹配条件。
在一种可能的实现方式中，当用户面数据处理网元无法直接从接收的用户面数据(例如：数据包)中获取匹配条件中的部分匹配特征时，用户面数据处理网元可以将匹配条件中无法直接获取的匹配特征转换为能够直接获取的匹配特征。例如：用户面数据处理网元接收到的数据包中并一定包括用户标识信息。若匹配条件中的匹配特征包括用户标识信息，用户面数据处理网元可以查询IP地址池，获得该用户标识信息对应的IP地址，然后将该IP地址与该用户标识信息关联。因此，用户面数据处理网元可以将接收到的数据包中的IP地址与匹配条件中的IP地址进行匹配。
用户面数据处理网元可以接收来自策略控制网元的业务类型信息，该业务类型信息与用户面数据处理网元接收到的匹配条件对应。该业务类型信息的形式以及接收方式参见步骤203-205，在此不再描述。
用户面数据处理网元还可以接收来自策略控制网元的执行规则，该执行规则与用户面数据处理网元接收到的匹配条件对应。该执行规则的接收方式参见步骤204，在此不再描述。
步骤203和204为可选步骤，数据分析网元也通过服务化接口经会话管理网元向用户面数据处理网元发送至少一个匹配条件、匹配条件对应的业务类型信息、匹配条件对应的执行规则信息中的至少一种。
步骤206：用户面数据处理网元接收用户面数据，根据步骤205中接收到的匹配条件获取用户面数据关联的业务类型和/或用户面数据关联的执行规则。
用户面数据处理网元接收到用户面数据后，从接收到的匹配条件中确定能够匹配的匹配条件。然后根据该匹配条件对应的业务类型信息或者执行规则信息，获取该用户面数据关联的业务类型或用户面数据关联的执行规则。用户面数据处理网元可以将该匹配条件对应的业务类型或者执行规则确定为该用户面数据关联的业务类型或该用户面数据关联的执行规则。在本申请的实施例中，对匹配条件进行匹配即确定用户面数据是否具有匹配条件中的匹配特征以及是否符合该匹配特征所满足的条件。
用户面数据处理网元可以根据用户面数据的业务类型获取该用户面数据对应的执行规则；或者，用户面数据处理网元根据来自策略控制网元或数据分析网元的匹配条件对应的执行规则信息确定该用户面数据的执行规则。
当用户面数据处理网元接收到用户面数据后，可以对接收到的用户面数据依次匹配各个匹配条件，以确定所述用户面数据能够匹配的匹配条件。在另一种可能的实现方式中，当用户面数据处理网元接收到用户面数据后，可以根据部分匹配特征，从接收到的匹配条件中选择部分匹配条件。然后，将接收到的用户面数据与选择出的部分匹配条件进行匹配。例如：部分匹配特征可以为IP地址和/或端口号，用户面数据处理网元从接收到的匹配条件中选择IP地址和/或端口号与用户面数据对应的IP地址和/或端口号一致的匹配条件。
当具体匹配一个匹配条件时，用户面数据处理网元可以依次对该匹配条件中的匹配特 征进行匹配。用户面数据处理网元也可以先对该匹配条件中的部分匹配特征进行匹配，然后再匹配剩余的匹配特征。例如：若匹配条件中包括的匹配特征为数据包大小、间隔、熵、IP地址、端口号等，用户面数据处理网元可以先确定用户面数据的IP五元组中的IP地址和端口号与匹配特征中的IP地址和端口号是否一致，若一致，则继续匹配剩余的其他特征；若不一致，则结束该匹配条件的匹配。
在一种可能的实现方式中，若匹配条件中包括用户面数据处理网元自身无法获取的特征，该用户面数据处理网元可以向其他网元获取该特征。例如：若匹配条件中包括终端设备的位置信息，则用户面数据处理网元从接入网设备获取该终端设备的位置信息。具体的，用户面数据处理网元可以请求接入网设备发送终端设备的位置信息，用户面数据处理网元也可以向接入网设备订阅终端设备的位置信息，在此不做限定。
步骤207：用户面数据处理网元根据用户面数据关联的业务类型和/或所述用户面数据关联的执行规则处理所述用户面数据。
在一种可能的实现方式中，用户面数据处理网元根据用户面数据关联的业务类型对该用户面数据进行处理。例如：用户面数据处理网元为用户面数据增加业务类型的标签信息；或者，用户面数据处理网元按照业务的优先级信息转发用户面数据；或者，用户面数据处理网元为用户面数据增加调度优先级信息；或者，用户面数据处理网元确定用户面数据的目的IP地址为终端设备的地址且该终端设备处于空闲状态，用户面数据处理网元向会话管理网元发送该终端设备的寻呼优先级信息；或者，用户面数据处理网元根据用户面数据关联的业务类型对用户面数据进行计费统计。
在另一种可能的实现方式中，用户面数据处理网元根据获取的执行规则，对该用户面数据进行处理。例如：用户面数据处理网元根据执行规则中指示的业务优先级信息转发用户面数据；或者，用户面数据处理网元根据执行规则为用户面数据增加业务类型的标签信息；或者，用户面数据处理网元根据执行规则为用户面数据增加调度优先级信息；或者，用户面数据处理网元确定用户面数据的目的IP地址为终端设备的地址且终端设备处于空闲状态，用户面数据处理网元根据执行规则向会话管理网元发送所述终端设备的寻呼优先级信息；或者，用户面数据处理网元根据用户面数据关联的执行规则对用户面数据进行计费统计。
在本实施例中，用户面数据处理网元获取来自数据分析网元的至少一个匹配条件。用户面数据处理网元根据接收到的匹配条件获取用户面数据关联的业务类型或用户面数据关联的执行规则，从而实现了在通信网络中利用数据分析网元对数据进行分析。进一步的，采用大数据分析方法获取用户面数据关联的业务类型或执行规则，并不需要对用户面数据进行深度包检测(deep packet inspection,DPI)，本实施例的方法更加简单。
请参阅图3，图3是本申请第二实施例的数据分析方法的示意性流程图。在本实施例中，以数据分析网元为NWDA网元，用户面数据处理网元为UPF网元，第三方服务器为OTT服务器进行举例说明。在本实施例中，NWDA网元通过UE发起的PDU会话建立/修改过程向UPF发送匹配条件。本实施与第二实施例相同的部分可以参见第二实施例的描述。本实施例的数据分析方法包括：
步骤301：NWDA网元从其他网元获取训练数据。
NWDA网元获取训练数据的方式可以参见步骤201，在此不再描述。
步骤302：NWDA网元对训练数据进行分析，获取匹配条件。
该步骤具体可以参见步骤202，在此不再描述。
步骤303：终端设备经AMF网元向SMF网元请求发起PDU会话建立/修改流程。
该步骤可以参见现有技术中终端设备发起PDU会话建立/修改请求的过程。
步骤304：SMF网元向PCF网元发送请求消息，用于请求PDU会话相关的执行规则。PDU会话相关的执行规则可以是执行策略、控制策略、计费策略、策略与计费控制中的至少一种等。
该步骤可以参见现有技术中SMF发起发起的PDU连接访问网络(PDU connectivity access network,PDU-CAN)会话建立/修改流程。
可选的，该请求消息包括终端设备请求的业务所在的数据网络的名称(DNN)和/或数据网络关联的用户面功能标识(UPF ID)。
步骤305：PCF网元向NWDA网元发送请求消息，用于请求匹配条件。
可选的，请求的匹配条件为终端设备请求的业务类型对应的匹配条件。
可选的，该请求消息包括终端设备请求的业务所在的数据网络的名称和/或数据网络关联的用户面功能标识，即步骤304中PCF网元接收到的DNN和/或UPF ID。
步骤306：NWDA网元接收到PCF网元发送的请求消息后，从步骤302获取的匹配条件中选择与接收到的DNN和/或UPF ID一致的匹配条件。
在一种可能的实现方式中，匹配条件中的匹配特征包括DNN和/或UPF ID。在另一种可能的实现方式中，匹配条件中的匹配特征不包括DNN和/或UPF ID，但DNN和/或UPF ID与匹配条件关联。
下面以匹配条件不包括DNN，但DNN与匹配条件关联进行举例说明。步骤302中获得的匹配条件及该匹配条件关联的DNN如表2所示。
表2
DNN1 匹配条件1
DNN1 匹配条件2
DNN2 匹配条件3
DNN2 匹配条件4
DNN2 匹配条件5
DNN3 匹配条件6
若终端设备发起的业务所在的数据网络名称为DNN1，则NWDA网元接收到PCF网元发送的请求消息后，根据该请求消息中携带的DNN1，NWDA网元从匹配条件1～匹配条件6中选择与DNN1关联的匹配条件1和匹配条件2。由于匹配条件3～匹配条件6跟终端设备发送的业务不相关，所以NWDA网元可以不必向PCF网元发送匹配条件3～匹配条件6，从而降低了网元间的数据吞吐量。
步骤306是可选的步骤。NWDA网元接收到PCF网元发送的请求消息后，也可以不执行步骤306而直接执行步骤307。
步骤307：NWDA网元向PCF网元发送匹配条件。
当NWDA网元执行步骤306时，NWDA网元向PCF网元发送步骤306中NWDA网元选择的匹配条件。当NWDA网元没有执行步骤306时，NWDA网元发送预设的匹配条件。可选的，该预设的匹配条件可以是NWDA网元获取的全部匹配条件，也可以是NWDA 网元根据当前的网络情况确定的匹配条件。NWDA网元向PCF网元发送匹配条件的方式具体参见步骤203的描述。
NWDA网元也可以向PCF网元发送匹配条件对应的业务类型信息。NWDA网元还可以向PCF网元发送匹配条件对应的执行规则策略，具体参见步骤203。
NWDA网元还可以向PCF网元发送匹配条件关联的特征，例如，表2中的DNN。
在一种可能的实现方式中，NWDA网元向PCF网元发送步骤305中请求消息的响应消息，该响应消息包括上述NWDA网元向PCF网元发送的内容。
步骤308：PCF网元根据业务类型信息生成执行规则。
PCF网元根据接收到的业务类型信息(例如：业务类型)生成该业务类型对应的执行规则(例如：服务质量策略)。
可选的，PCF网元还可以从生成的执行规则和从NWDA网元接收到的执行规则中，选择一个执行规则。
步骤309：PCF网元向SMF网元发送匹配条件。
PCF网元向SMF网元发送的匹配条件可以为PCF网元接收到的来自NWDA网元的匹配条件。
PCF网元向SMF网元发送的匹配条件还可以是终端设备请求的业务类型对应的匹配条件。
可选的，PCF网元还向SMF网元发送匹配条件关联的特征。
PCF网元还向SMF网元发送匹配条件对应的执行规则，例如：策略与计费控制规则(policy control and charging,PCC)规则。该执行规则可以是PCF网元生成的或者PCF网元从NWDA网元接收的。进一步的，PCF网元还向SMF网元发送匹配条件对应的业务类型信息。其中，执行规则和业务类型信息的描述可以参见图2实施例的描述。
在一种可能的实现方式中，PCF网元向SMF网元发送步骤304中的请求消息的响应消息，该响应消息包括上述PCF网元向SMF网元发送的内容。
响应消息可以参见现有技术中的PDU-CAN会话建立/修改流程。
步骤310：SMF网元向UPF网元发送匹配条件。
SMF网元向UPF网元发送匹配条件可以为SMF网元接收到的匹配条件。可选的，SMF网元向UPF网元发送匹配条件关联的特征。SMF网元还可以向UPF网元发送匹配条件对应的执行规则和/或匹配条件对应的业务类型信息。
在一种可能的实现方式中，在SMF网元向UPF网元发起的会话建立/修改的流程中，SMF网元向UPF网元发送匹配条件。
步骤311：UPF网元接收用户面数据，并根据接收到的匹配特征获取用户面数据关联的业务类型和/或用户面数据关联的执行规则。
UPF网元接收到来自NWDA网元发送的匹配条件后，若UPF网元接收到用户面数据：例如数据包，则UPF网元可以将接收到的用户面数据与匹配条件进行匹配，以获取该用户面数据关联的业务类型或者执行规则，具体参见步骤206
步骤312：用户面数据处理网元根据用户面数据关联的业务类型和/或所述用户面数据关联的执行规则处理所述用户面数据。
该步骤具体可以参见步骤207，在此不再描述。
请参阅图4，图4是本申请第三实施例的数据分析方法的示意性流程图。本实施例的 数据分析方法与第二实施例中的数据分析方法类似，相同的部分可以参见第二实施例的描述。本实施例的数据分析方法包括：
步骤401～402：具体参见步骤301～302的描述。
步骤403：NWDA网元向PCF网元发送匹配条件。该匹配条件可以是NWDA网元在步骤402中根据训练数据获得的匹配条件。NWDA网元向PCF网元发送匹配条件的方式具体参见步骤203的描述。
步骤404～405：具体参见步骤303～304的描述。
步骤406：PCF网元接收到SMF发送的请求消息后，从步骤403中接收的匹配条件中选择与DNN和/或UPF ID一致的匹配条件。PCF网元如何选择匹配条件可以参见步骤306中NWDA网元选择匹配条件的方法。
本步骤为可选步骤，当不执行本步骤时，可以直接执行步骤407。
步骤407：PCF网元根据业务类型信息生成执行规则。
具体参见步骤308的描述。
步骤408：PCF网元向SMF网元发送匹配跳进。
在一种可能的实现方式中，当PCF网元执行步骤406时，PCF网元向SMF网元发送步骤406中PCF网元选择的匹配条件。当PCF网元没有执行步骤406时，PCF网元向SMF网元发送预设的匹配条件。可选的，该预设的匹配条件可以是PCF网元从NWDA网元接收的全部匹配条件，也可以是PCF网元根据当前的网络情况确定的匹配条件。PCF网元向SMF网元发送的匹配条件还可以是终端设备请求的业务类型对应的匹配条件。
在另一种可能的实现方式中，PCF网元还可以向SMF网元发送匹配条件关联的特征，例如，表2中的DNN。PCF网元也可以向SMF网元发送匹配条件对应的执行规则和/或业务类型指示信息。该执行规则可以是PCF网元生成的或者PCF网元从NWDA网元接收的。
在一种可能的实现方式中，PCF网元向SMF网元发送步骤405中的请求消息的响应消息，该响应消息包括上述PCF网元向SMF网元发送的内容。
步骤409～411：具体参见步骤310～312的描述。
在本申请的第二实施例和第三实施例中，NWDA网元通过UE发起的PDU会话建立/修改过程向UPF网元发送匹配条件，NWDA网元也可以通过网络设备为终端设备的业务建立Qos flow的过程发送匹配条件，具体描述类似第二实施例和第三实施例中的方法，在此不再描述。
图5是本申请实施例提供的一种数据分析装置的示意图。该数据分析装置包括收发单元501、处理单元502以及存储单元503。
收发单元501用于实现处理单元502与其他单元或者网元的内容交互。具体的，收发单元501可以是该数据分析装置的通信接口，也可以是收发电路或者收发器，还可以是收发信机。收发单元501还可以是处理单元502的通信接口或者收发电路。可选的，收发单元501可以是一个芯片。
虽然图5中仅仅示出了一个收发单元501，数据分析装置也可以包括多个收发单元501或者收发单元501包括多个子收发单元。收发单元501还可以包括发送单元和接收单元。
处理单元502用于实现数据分析装置对数据的处理。处理单元502可以是处理电路，也可以是处理器。其中，处理器可以是中央处理器(central processing unit，CPU)，网络处理器(network processor，NP)或者CPU和NP的组合。处理器还可以进一步包括硬件芯片。 上述硬件芯片可以是专用集成电路(application-specific integrated circuit，ASIC)，可编程逻辑器件(programmable logic device，PLD)或其组合。上述PLD可以是复杂可编程逻辑器件(complex programmable logic device,CPLD)，现场可编程逻辑门阵列(field-programmable gate array，FPGA)，通用阵列逻辑(Generic Array Logic，GAL)或其任意组合。
虽然图5中仅仅示出了一个处理单元502，数据分析装置也可以包括多个处理单元或者处理单元502包括多个子数据处理单元。具体的，处理器可以是一个单核(single-CPU)处理器，也可以是一个多核(multi-CPU)处理器。
存储单元503用于存储处理单元502执行的计算机指令。存储单元503可以是存储电路也可以是存储器。存储器可以是易失性存储器或非易失性存储器，或可包括易失性和非易失性存储器两者。其中，非易失性存储器可以是只读存储器(read-only memory，ROM)、可编程只读存储器(programmable ROM，PROM)、可擦除可编程只读存储器(erasable PROM，EPROM)、电可擦除可编程只读存储器(electrically EPROM，EEPROM)或闪存。易失性存储器可以是随机存取存储器(random access memory，RAM)，其用作外部高速缓存。
存储单元503可以是独立于处理单元502的单元，也可以是处理单元502中的存储单元，在此不做限定。虽然图5中仅仅示出了一个存储单元503，数据分析装置也可以包括多个存储单元503或者存储单元503包括多个子存储单元。
一种可能的实现方式中，收发单元501、处理单元502以及存储单元503可以通过总线相互连接。总线可以是外设部件互连标准(peripheral component interconnect，PCI)总线或扩展工业标准结构(extended industry standard architecture，EISA)总线等。所述总线可以分为地址总线、数据总线、控制总线等。
在本申请的实施例中，处理单元502根据存储单元503中存储的计算机指令，使得实现数据分析装置实现本申请第一实施例到第六实施例中的方法。
具体的，数据分析装置可以是用户面数据处理网元，例如：UPF网元，基站。数据分析装置也可以是策略控制网元，例如：PCF网元。数据分析装置还可以是数据分析网元，例如：NWDA网元。
当数据分析装置为用户面数据处理网元时，收发单元501用于获取来自数据分析网元的至少一个匹配条件以及接收用户面数据，其中，所述至少一个匹配条件中的每个匹配条件对应至少一种业务类型或至少一种执行规则。处理单元502用于根据所述至少一个匹配条件获取所述用户面数据关联的业务类型或所述用户面数据关联的执行规则。
在一种可能的实现方式中，所述处理单元502具体用于从所述至少一个匹配条件中确定所述用户面数据满足的匹配条件。所述收发单元501还用于获取来自策略控制网元的所述用户面数据满足的匹配条件对应的执行规则，或，获取来自所述数据分析网元的所述用户面数据满足的匹配条件对应的执行规则。
在一种可能的实现方式中，所述处理单元502还用于根据所述用户面数据关联的业务类型或所述用户面数据关联的执行规则处理所述用户面数据。
其中，所述处理单元502具体用于确定所述用户面数据的目的地址为终端设备的地址且所述终端设备处于空闲状态，根据所述用户面数据关联的业务类型或所述用户面数据关联的执行规则向会话管理网元发送所述终端设备的寻呼优先级信息。
所述处理单元502具体用于根据所述用户面数据关联的执行规则中指示的业务优先级 信息转发所述用户面数据；或者，所述处理单元502具体用于根据所述用户面数据关联的业务类型或所述用户面数据关联的执行规则为所述用户面数据增加业务类型的标签信息；或者，所述处理单元502具体用于根据所述用户面数据关联的业务类型或所述用户面数据关联的执行规则为所述用户面数据增加调度优先级信息；或者，所述处理单元502具体用于根据所述用户面数据关联的业务类型或所述用户面数据关联的策略与计费规则对所述用户面数据进行计费统计。
在一种可能的实现方式中，所述处理单元502还用于从所述至少一个匹配条件中确定所述用户面数据满足的匹配条件。所述收发单元501还用于获取来自所述数据分析网元的所述用户面数据满足的匹配条件对应的业务类型信息。所述处理单元502具体用于根据所述业务类型信息获取所述用户面数据关联的业务类型。
在一种可能的实现方式中，所述至少一个匹配条件中的每个匹配条件包括至少一个匹配特征和所述至少一个匹配特征满足的条件。所述处理单元502具体用于确定所述用户面数据具有一个匹配条件的全部或部分匹配特征且符合所述全部或部分匹配特征满足的条件。
在一种可能的实现方式中，所述处理单元502具体用于获取所述用户面数据对应的部分匹配特征，根据所述部分匹配特征从所述至少一个匹配条件中选择部分匹配条件，根据选择的所述部分匹配条件确定所述用户面数据满足的匹配条件。
在一种可能的实现方式中，所述用户面数据对应的部分匹配特征包括IP五元组信息。所述处理单元502具体用于从所述至少一个匹配条件中选择IP五元组信息与所述用户面数据的IP五元组信息一致的匹配条件。
在本实施例中，收发单元501还用于实现本申请第一实施例到第三实施例中用户面数据处理网元与外部网元的内容的收发操作。处理单元502还用于实现本申请第一实施例到第三实施例中用户面数据处理网元内部数据或者信令的处理操作,例如，处理单元502用于实现第二实施例中步骤311和步骤312中的处理操作。
在本实施例中，处理单元502根据存储单元503中存储的计算机指令，使得用户面数据处理网元实现本申请第一实施例到第三实施例中用户面数据处理网元执行的操作。
具体的，在一种可能的实现方式中，处理单元502利用收发单元501获取来自数据分析网元的至少一个匹配条件，其中，所述至少一个匹配条件中的每个匹配条件对应至少一种业务类型或至少一种执行规则；处理单元502根据所述至少一个匹配条件获取所述用户面数据关联的业务类型或所述用户面数据关联的执行规则。
在一种可能的实现方式中，处理单元502从所述至少一个匹配条件中确定所述用户面数据满足的匹配条件；处理单元502利用收发单元501获取来自策略控制网元的所述用户面数据满足的匹配条件对应的执行规则；或，处理单元502利用收发单元501获取来自所述数据分析网元的所述用户面数据满足的匹配条件对应的执行规则。
在一种可能的实现方式中，处理单元502根据所述用户面数据关联的业务类型或所述用户面数据关联的执行规则处理所述用户面数据。
在一种可能的实现方式中，处理单元502确定所述用户面数据的目的地址为终端设备的地址且所述终端设备处于空闲状态，根据所述用户面数据关联的业务类型或所述用户面数据关联的执行规则利用所述收发单元501向会话管理网元发送所述终端设备的寻呼优先级信息。
在一种可能的实现方式中，处理单元502根据所述用户面数据关联的执行规则中指示的业务优先级信息转发所述用户面数据；或者，处理单元502根据所述用户面数据关联的业务类型或所述用户面数据关联的执行规则为所述用户面数据增加业务类型的标签信息；或者，处理单元502根据所述用户面数据关联的业务类型或所述用户面数据关联的执行规则为所述用户面数据增加调度优先级信息；或者，处理单元502根据所述用户面数据关联的业务类型或所述用户面数据关联的策略与计费规则对所述用户面数据进行计费统计。
在一种可能的实现方式中，处理单元502从所述至少一个匹配条件中确定所述用户面数据满足的匹配条件；利用收发单元502获取来自所述数据分析网元的所述用户面数据满足的匹配条件对应的业务类型信息；处理单元502根据所述业务类型信息获取所述用户面数据关联的业务类型。当数据分析装置为数据分析网元时，处理单元502用于获取至少一个匹配条件，其中，所述至少一个匹配条件中的每个匹配条件对应至少一种业务类型或至少一种执行规则。收发单元501用于向用户面数据处理网元发送所述至少一个匹配条件。
在一种可能的实现方式中，所述收发单元501还用于接收来自策略控制网元的部分匹配特征。所述处理单元502具体用于根据所述部分匹配特征从预先获取的匹配条件中选择所述至少一个匹配条件。
在一种可能的实现方式中，所述部分匹配特征包括数据网络名称和/或数据网络对应的用户面数据处理网元的标识信息。所述处理单元502具体用于从所述预先获取的匹配条件中选择与所述数据网络名称和/或所述数据网络对应的用户面数据处理网元的标识信息一致的匹配条件。
在一种可能的实现方式中，所述收发单元501还用于向策略控制网元或所述用户面数据处理网元发送所述至少一个匹配条件对应的业务类型信息。
在一种可能的实现方式中，所述收发单元501还用于向所述策略控制网元或所述用户面数据处理网元发送所述至少一个匹配条件对应的执行规则。
在一种可能的实现方式中，所述收发单元501还用于获取至少一种业务类型对应的训练数据，所述处理单元502具体用于根据所述训练数据获取所述至少一个匹配条件。
在本实施例中，收发单元501还用于实现本申请第一实施例到第三实施例中数据分析网元与外部网元的内容的收发操作。处理单元502还用于实现本申请第一实施例到第三实施例中数据分析网元内部数据或者信令的处理操作,例如，处理单元502用于实现第二实施例中步骤302和步骤306中的处理操作。
在本实施例中，处理单元502根据存储单元503中存储的计算机指令，使得数据分析网元实现本申请第一实施例到第六实施例中数据分析网元执行的操作。
具体的，在一种可能的实现方式中，处理单元502获取至少一个匹配条件，其中，所述至少一个匹配条件中的每个匹配条件对应至少一种业务类型或至少一种执行规则；处理单元502利用收发单元501向用户面数据处理网元发送所述至少一个匹配条件。在一种可能的实现方式中，处理单元502利用收发单元501接收来自策略控制网元的部分匹配特征；处理单元502根据所述部分匹配特征从预先获取的匹配条件中选择所述至少一个匹配条件。
在一种可能的实现方式中，所述部分匹配特征包括数据网络名称和/或数据网络对应的用户面数据处理网元的标识信息；处理单元502从所述预先获取的匹配条件中选择与所述数据网络名称和/或所述数据网络对应的用户面数据处理网元的标识信息一致的匹配条件。
在一种可能的实现方式中，处理单元502利用收发单元501向策略控制网元或所述用户面数据处理网元发送所述至少一个匹配条件对应的业务类型信息。
在一种可能的实现方式中，处理单元502利用收发单元501向所述策略控制网元或所述用户面数据处理网元发送所述至少一个匹配条件对应的执行规则。
在一种可能的实现方式中，处理单元502利用收发单元501获取至少一种业务类型对应的训练数据；处理单元502根据所述训练数据获取所述至少一个匹配条件。
当数据分析装置为策略控制网元时，所述处理单元502用于通过所述收发单元501获取来自数据分析网元的至少一个匹配条件，其中，所述至少一个匹配条件中的每个匹配条件对应至少一种业务类型或至少一种执行规则。所述处理单元502还用于通过所述收发单元501向用户面数据处理网元发送所述至少一个匹配条件中的至少部分匹配条件。
在一种可能的实现方式中，所述处理单元502还用于根据部分匹配特征从所述至少一个匹配条件中选择所述至少部分匹配条件。
在一种可能的实现方式中，所述部分匹配特征包括数据网络名称和/或数据网络对应的用户面数据处理网元的标识信息。所述处理单元502具体用于从所述至少一个匹配条件中选择与所述数据网络名称和/或所述数据网络对应的用户面数据处理网元的标识信息一致的匹配条件。
在一种可能的实现方式中，所述收发单元501还用于向所述用户面数据处理网元发送所述至少部分匹配条件对应的业务类型信息。
在一种可能的实现方式中，所述收发单元501还用于向所述用户面数据处理网元发送所述至少部分匹配条件对应的执行规则。
在一种可能的实现方式中，所述收发单元501还用于获取来自所述数据分析网元的所述至少部分匹配条件对应的业务类型信息。所述处理单元502还用于根据所述获取的业务类型信息生成所述至少部分匹配条件对应的执行规则。所述收发单元501还用于向所述用户面数据处理网元发送所述至少部分匹配条件对应的执行规则。
在本实施例中，收发单元501还用于实现本申请第一实施例到第三实施例中策略控制网元与外部网元的内容的收发操作。处理单元502还用于实现本申请第一实施例到第三实施例中策略控制网元内部数据或者信令的处理操作,例如，处理单元502用于实现第二实施例中步骤308的处理操作。
在本实施例中，处理单元502根据存储单元503中存储的计算机指令，使得策略控制网元实现本申请第一实施例到第六实施例中策略控制网元执行的操作。
具体的，在一种可能的实现方式中，处理单元502利用收发单元501获取来自数据分析网元的至少一个匹配条件，其中，所述至少一个匹配条件中的每个匹配条件对应至少一种业务类型或至少一种执行规则；处理单元502利用收发单元501向用户面数据处理网元发送所述至少一个匹配条件中的至少部分匹配条件。
在一种可能的实现方式中，处理单元502根据部分匹配特征从所述至少一个匹配条件中选择所述至少部分匹配条件。
在一种可能的实现方式中，所述部分匹配特征包括数据网络名称和/或数据网络对应的用户面数据处理网元的标识信息；处理单元502从所述至少一个匹配条件中选择与所述数据网络名称和/或所述数据网络对应的用户面数据处理网元的标识信息一致的匹配条件。
在一种可能的实现方式中，处理单元502利用收发单元501向所述用户面数据处理网 元发送所述至少部分匹配条件对应的业务类型信息。
在一种可能的实现方式中，处理单元502利用收发单元501向所述用户面数据处理网元发送所述至少部分匹配条件对应的执行规则。
在一种可能的实现方式中，处理单元502利用收发单元501获取来自所述数据分析网元的所述至少部分匹配条件对应的业务类型信息；处理单元502根据所述获取的业务类型信息生成所述至少部分匹配条件对应的执行规则；在一种可能的实现方式中，向所述用户面数据处理网元发送所述至少部分匹配条件对应的执行规则。
上述实施例中，可以全部或部分地通过软件、硬件、固件或者其任意组合来实现。当使用软件实现时，可以全部或部分地以计算机程序产品的形式实现。所述计算机程序产品可以包括一个或多个计算机指令。在计算机上加载和执行所述计算机程序指令时，全部或部分地产生按照本申请实施例所述的流程或功能。所述计算机可以是通用计算机、专用计算机、计算机网络或者其他可编程装置。所述计算机指令可以存储在计算机可读存储介质中，或者从一个计算机可读存储介质向另一个计算机可读存储介质传输，例如，所述计算机指令可以从一个网站站点、计算机、服务器或数据中心通过有线(例如同轴电缆、光纤、数字用户(DSL))或无线(例如红外、无线、微波等)方式向另一个网站站点、计算机、服务器或数据中心进行传输。所述计算机可读存储介质可以是计算机能够存取的任何可用介质或者是包含一个或多个可用介质集成的服务器、数据中心等数据存储设备。所述可用介质可以是磁性介质(例如，软盘、硬盘、磁盘)、光介质(例如，DVD)、或者半导体介质(例如，固态硬盘(solid state disk，SSD))等。
本领域普通技术人员可以意识到，结合本文中所公开的实施例描述的各示例的单元及算法步骤，能够以电子硬件、或者计算机软件和电子硬件的结合来实现。这些功能究竟以硬件还是软件方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本申请的范围。
所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，上述描述的系统、装置和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不做限定。
在本申请所提供的几个实施例中，应该理解到，所揭露的系统、装置和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，所述单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性，机械或其它的形式。
所述作为分离部件说明的单元可以是或者也可以不是物理上分开的，作为单元显示的部件可以是或者也可以不是物理单元，即可以位于一个地方，或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部单元来实现本实施例方案的目的。
另外，在本申请各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。
所述功能如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的部分可以以软件产品的形式体现出来，该计算机 软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)执行本申请各个实施例所述方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器、随机存取存储器、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述，仅为本申请的具体实施方式，但本申请的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本申请揭露的技术范围内，可轻易想到变化或替换，都应涵盖在本申请的保护范围之内。因此，本申请的保护范围应所述以权利要求的保护范围为准。

Claims (20)

  1. 一种数据分析方法，其特征在于，包括：
    用户面数据处理网元获取来自数据分析网元的至少一个匹配条件，其中，所述至少一个匹配条件中的每个匹配条件对应至少一种业务类型或至少一种执行规则；
    所述用户面数据处理网元根据所述至少一个匹配条件获取用户面数据关联的业务类型或所述用户面数据关联的执行规则。
  2. 根据权利要求1所述的方法，其特征在于，所述用户面数据处理网元根据所述至少一个匹配条件获取所述用户面数据关联的执行规则，包括：
    所述用户面数据处理网元从所述至少一个匹配条件中确定所述用户面数据满足的匹配条件；
    所述用户面数据处理网元获取来自策略控制网元的所述用户面数据满足的匹配条件对应的执行规则；或，
    所述用户面数据处理网元获取来自所述数据分析网元的所述用户面数据满足的匹配条件对应的执行规则。
  3. 根据权利要求1或2所述的方法，所述方法还包括：
    所述用户面数据处理网元根据所述用户面数据关联的业务类型或所述用户面数据关联的执行规则处理所述用户面数据。
  4. 根据权利要求3所述的方法，所述用户面数据处理网元根据所述用户面数据关联的业务类型或所述用户面数据关联的执行规则处理所述用户面数据，包括：
    所述用户面数据处理网元确定所述用户面数据的目的地址为终端设备的地址且所述终端设备处于空闲状态；
    所述用户面数据处理网元根据所述用户面数据关联的业务类型或所述用户面数据关联的执行规则向会话管理网元发送所述终端设备的寻呼优先级信息。
  5. 根据权利要求3所述的方法，其特征在于，所述用户面数据处理网元根据所述用户面数据关联的业务类型或所述用户面数据关联的执行规则处理所述用户面数据，包括：
    所述用户面数据处理网元根据所述用户面数据关联的执行规则中指示的业务优先级信息转发所述用户面数据；或者
    所述用户面数据处理网元根据所述用户面数据关联的业务类型或所述用户面数据关联的执行规则为所述用户面数据增加业务类型的标签信息；或者
    所述用户面数据处理网元根据所述用户面数据关联的业务类型或所述用户面数据关联的执行规则为所述用户面数据增加调度优先级信息；或者，
    所述用户面数据处理网元根据所述用户面数据关联的业务类型或所述用户面数据关联的策略与计费规则对所述用户面数据进行计费统计。
  6. 根据权利要求1所述的方法，其特征在于，
    所述用户面数据处理网元根据所述至少一个匹配条件获取所述用户面数据关联的业务类型，包括：
    所述用户面数据处理网元从所述至少一个匹配条件中确定所述用户面数据满足的匹配条件；
    所述用户面数据处理网元获取来自所述数据分析网元的所述用户面数据满足的匹配条件对应的业务类型信息；
    所述用户面数据处理网元根据所述业务类型信息获取所述用户面数据关联的业务类型。
  7. 根据权利要求2-6中任意一项所述的方法，其特征在于，所述至少一个匹配条件中的每个匹配条件包括至少一个匹配特征和所述至少一个匹配特征满足的条件；
    所述用户面数据处理网元从所述至少一个匹配条件中确定所述用户面数据满足的匹配条件，包括：
    所述用户面数据处理网元确定所述用户面数据具有一个匹配条件的全部或部分匹配特征且符合所述全部或部分匹配特征满足的条件。
  8. 根据权利要求2-6中任意一项所述的方法，其特征在于，
    所述用户面数据处理网元从所述至少一个匹配条件中确定所述用户面数据满足的匹配条件，包括：
    所述用户面数据处理网元获取所述用户面数据对应的部分匹配特征；
    所述用户面数据处理网元根据所述部分匹配特征，从所述至少一个匹配条件中选择部分匹配条件；
    所述用户面数据处理网元根据选择的所述部分匹配条件确定所述用户面数据满足的匹配条件。
  9. 根据权利要求8所述的方法，其特征在于，所述用户面数据对应的部分匹配特征包括互联网协议IP五元组信息；
    所述用户面数据处理网元根据所述部分匹配特征从所述至少一个匹配条件中选择部分匹配条件，包括：
    所述用户面数据处理网元从所述至少一个匹配条件中选择IP五元组信息与所述用户面数据的IP五元组信息一致的匹配条件。
  10. 一种数据分析装置，其特征在于，包括：
    收发单元，用于获取来自数据分析网元的至少一个匹配条件，其中，所述至少一个匹配条件中的每个匹配条件对应至少一种业务类型或至少一种执行规则；
    处理单元，用于根据所述至少一个匹配条件获取用户面数据关联的业务类型或所述用户面数据关联的执行规则。
  11. 根据权利要求10所述的装置，其特征在于，所述处理单元具体用于从所述至少一个匹配条件中确定所述用户面数据满足的匹配条件；
    所述收发单元还用于获取来自策略控制网元的所述用户面数据满足的匹配条件对应的执行规则，或，获取来自所述数据分析网元的所述用户面数据满足的匹配条件对应的执行规则。
  12. 根据权利要求10或11所述的装置，其特征在于，
    所述处理单元还用于根据所述用户面数据关联的业务类型或所述用户面数据关联的执行规则处理所述用户面数据。
  13. 根据权利要求12所述的装置，其特征在于，所述处理单元具体用于确定所述用户面数据的目的地址为终端设备的地址且所述终端设备处于空闲状态，根据所述用户面数据关联的业务类型或所述用户面数据关联的执行规则向会话管理网元发送所述终端设备 的寻呼优先级信息。
  14. 根据权利要求12所述的装置，其特征在于，
    所述处理单元具体用于根据所述用户面数据关联的执行规则中指示的业务优先级信息转发所述用户面数据；或者
    所述处理单元具体用于根据所述用户面数据关联的业务类型或所述用户面数据关联的执行规则为所述用户面数据增加业务类型的标签信息；或者
    所述处理单元具体用于根据所述用户面数据关联的业务类型或所述用户面数据关联的执行规则为所述用户面数据增加调度优先级信息；或者，
    所述处理单元具体用于根据所述用户面数据关联的业务类型或所述用户面数据关联的策略与计费规则对所述用户面数据进行计费统计。
  15. 根据权利要求10所述的装置，其特征在于，
    所述处理单元还用于从所述至少一个匹配条件中确定所述用户面数据满足的匹配条件；
    所述收发单元还用于获取来自所述数据分析网元的所述用户面数据满足的匹配条件对应的业务类型信息；
    所述处理单元具体用于根据所述业务类型信息获取所述用户面数据关联的业务类型。
  16. 根据权利要求11-15中任意一项所述的装置，其特征在于，所述至少一个匹配条件中的每个匹配条件包括至少一个匹配特征和所述至少一个匹配特征满足的条件；
    所述处理单元具体用于确定所述用户面数据具有一个匹配条件的全部或部分匹配特征且符合所述全部或部分匹配特征满足的条件。
  17. 根据权利要求11-15中任意一项所述的装置，其特征在于，
    所述处理单元具体用于获取所述用户面数据对应的部分匹配特征，根据所述部分匹配特征从所述至少一个匹配条件中选择部分匹配条件，根据选择的所述部分匹配条件确定所述用户面数据满足的匹配条件。
  18. 根据权利要求17所述的装置，其特征在于，所述用户面数据对应的部分匹配特征包括IP五元组信息；
    所述处理单元具体用于从所述至少一个匹配条件中选择IP五元组信息与所述用户面数据的IP五元组信息一致的匹配条件。
  19. 一种数据分析的装置，其特征在于，包括存储器、处理器和收发器：
    所述存储器，用于存储计算机指令；
    所述处理器，用于根据所述存储单元中存储的计算机指令执行如下操作：
    利用所述收发器获取来自数据分析网元的至少一个匹配条件，其中，所述至少一个匹配条件中的每个匹配条件对应至少一种业务类型或至少一种执行规则；
    根据所述至少一个匹配条件获取所述用户面数据关联的业务类型或所述用户面数据关联的执行规则。
  20. 一种计算机存储介质，所述计算机可读存储介质中存储有指令，当其在计算机上运行时，使得计算机执行所述权利要求1-9中任意一项所述的方法。
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